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9,946 | https://devpost.com/software/corovisa | Inspiration
Because of the Coronavirus, the tourism economy collapsed. For some countries tourism is a main part of the economy (ex: 15% for Tunisia). Small traders are close to bankruptcy. Some countries voted compulsory to be negative-tested to cross their borders: Tunisia, Morocco, China, Madagascar, Iceland, Denmark and many others.
Our goal : to create an atmosphere of trust and safety.
How can we relaunch tourism if countries are afraid of tourists and tourists are afraid of being contaminated?
What it does
The problem: tourism can’t restart without countries reopening their borders and tourists booking.
During this hackathon, we created a standardization of the thousands of certificates that exist for coronavirus in the world. Now, by a simple scan on a QR-Code, we can verify a user, even if we don’t speak the same language.
How can we reassure both countries and tourists?
To encourage countries, we propose a
non-contamination certificate
To encourage tourists, we provide a
support
for the passenger.
Support: an
insurance
(already available) for Covid-19, Destination benchmarking, a travel charter
There are three platforms: an app and two websites.
We really want to insist on the security aspect of our solution: there are two verifications in order to receive our certification, they are below.
The principle is simple:
The user goes to our web-site
link
and create a SafeVisa account.
Once he registered, he can find the nearest partner laboratories.
He downloads the application, and he can access the scanner by logging in with his Safevisa account.
He takes his test 48 hours before the departure in one of our 1100 partner laboratories.
These laboratories registered on a platform dedicated to them:
link
https://corolabos.com
; (the only website we coded before the hackathon). On this platform, we deliver to each of them a specific QR-code for them to display in their waiting room.
The user after taking his test scan this QR-code to indicate us that he went to this laboratory at this hour. This is our first verification: the physical one.
Once he receives the results of his test, he uploads it on our website:
https://safevisa.org
. This is our second verification: the online one.
If he is negative-tested, he receives a QR-code-Visa Safevisa certification by E-mail (the one he put when he registered).
Authorities only need to scan the QR-code with the Safevisa application to check if the user is Corona-free: it is
easy to implement.
We propose a universal scanner: Authorities, users, everyone can use it.
How we can make some profit ?
We offer an insurance for covid-19 and we take a commission of 15% on it.
How we built it
Where you can find our solution ?
link
: this site is where the client registers and uploads his certificate (we posted it on azure sunday night)
link
: this site is for the laboratories that work with us to register and print their QR Code
The application SafeVisa: we published it sunday night on the stores, waiting for validation.
You can see some screen videos on our presentation video.
This hackathon was intense for Mamadou, he coded everything (the application and the site
link
)
The security:
We really want to insist on this aspect. Mamadou coded during this hackathon our database, and secured it with the algorithm used in blockchain: all activity is traceable.
The architecture:
-There is one application: SafeVisa
-and two websites:
https://safevisa.org
and
https://corolabos.com
Language:
-He coded the app in ReactNative (it will be published tomorrow in the stores).
-He used HTML, php3, some API (like google maps and others), and coded a QR Code generator code in HTML and PHP. He coded a qr code scanner in ReactNative.
Challenges we ran into
We are three young engineers.
We have a challenge:
How to be taken seriously by governments and companies?
That’s why we participate in the Travel/Scrum Hackathon. If we win, our solution will be certified and recognized thus we will have the confidence of our partners.
Because we know our solution to be trustful:
We have 1 100 laboratories (30% of the market in France) and, thanks to Eurofins, our partner, we have 600 laboratories in more than 45 countries. We learned how to contact Big companies and governments
Indeed, we contacted laboratories, the government and ministries of France, foreign tourism offices (Tunisia, Morocco, Greece, Island) and main actors of tourism.
Accomplishments that we're proud of-Proud
Our greatest pride is to have produced marketable software in just 3 days during this hackathon.
Then it is to have some touristic firms that trust us:
Cruise brands
: CroisiEurope, we had also some advice from Cruiseline
Hotels
: The hotels the most upscale in the french islands: “Les grandes maisons de Corse”
Tour Operators
: Directours, Fram, Ollandini, PromoSéjours want to implement this solution with us.
Others
: Assurances like Chapka (we are actually collaboating a solution for covid-19), and some travel agencies like 3B Voyages, one of the agency of Selectour.
We are proud to have:
1100
laboratories working with us. (30% of the market in France)
To have our first customers
: CroisieEurope, Tour operators, cruisers and countries -We are working to implement our solution with Tunisia and French islands.
They said we could present our solution in Tunisia to the minister of tourism (Mohamed ali toumi) if we prove our worth.
-we are currently working with ** Ministeries ** of France: Ministery of foreign affairs, health and French Islands to implement our solution worldwide.
-we had some ministers and the secretory of department in zoom.
What we learned
This Hackathon was
fulfilling
and rewarding for us: we designed our MVP thanks to advice of our mentors.
Mamadou manage to code everything in three days (the app and the site
https://safevisa.org
). It was a tough challenge and he succeeded.
Discussing with mentors exposed our weaknesses and we learnt:
First, to show you how much this hackathon changed our project, you must know that we even changed our name from "corovisa" to "safevisa", to make it a visa for every pandemic that could happen in the future.
How to optimize our
MVP
(use the website the more possible, because the stores are demanding)
How to organize a great work in a very short time: each of us had specific tasks. Mamadou code, Guillaume made the video, Antoine made the pitch and wrote the script.
How to communicate and to deliver a message as clear as possible.
Students at an engineering school, we learned how to react quickly and contact many big influencers and deciders. We learned also how to adapt and survive.
We hope we learnt to hack the covid.
What's next for CoroVisa
We want our solution to become
worldwide
. Now that we have our minimum viable project, we can start to place our product on the market.
Firstly, we will contact as many laboratories at the international: firms like Cerba and Synlab have thousands of laboratories in the world.
Secondly, if we win the hackathon, Tunisia will want to implement our solution on their country. If we don’t, we will do our best to implement in Corsica, a French island, to prove our worth to the other countries.
Finally, we hope that we learnt how to hack the covid, and protect the tourism for the next pandemic thanks to our SafeVisa worldwide Certification.
Built With
css3
html5
php
reactnative
sql
sqlite
Try it out
safevisa.org
corolabos.com | SafeVisa | SafeVisa's goal: encourage countries to reopen borders. How ? In delivering a non-contamination cerficate for Covid-19 and make it a standardization. Goal ? Create a safe and faithful atmosphere. | ['Antoine Gorceix', 'GUILLAUME KERVELLA', 'Mamadou DICKO'] | [] | ['css3', 'html5', 'php', 'reactnative', 'sql', 'sqlite'] | 33 |
9,946 | https://devpost.com/software/travel-guide-n9r7ah | Let us be your travel guide.
The main screen when searching for a city.
Having selected a city and the number of days, we will create an itinerary.
The main screen.
Paris itinerary with safe search off
Paris page with no day selected.
Paris itinerary with safe search on.
Inspiration
I love traveling. But when I arriving in a new city for a short amount of time, the number of things you can do is daunting. How do I decide what I can see, where to go, when should I leave? This website takes all the guess work out of the equation. Pick where you are going, what you are interested in, and any health concerns you may have, and we will create a carefully selected itinerary for your trip.
What it does
It looks through all the must see places in a city, and categorizes them according to interests and health concerns, then tries to organise them into a daily itinerary. It does that using a replaceable filter, that looks at each locations and tries to work out their fit. At the moment this is quite simple, but it could be complex, and us some AI and user feedback to rate different locations.
It also looks up the entry requirements for that particular country, such as VISA and covid restrictions from Sherpa, to help you decide whether you can actually go there or not. And downloads safety information from Amadeus, that shows you how each city handles physical Harm, lgbtq, political Freedom, theft score and women. We also look up hotels from Amadeus that are nearby. We also use sitata data to look at recent events affecting that locaiton.
It presents all this on one page, and lets you print out that page.
Travel Problem it solves
I think the website solves 2 problems:
Hygiene & Health: I try to solve this by only showing places that are safe for people to see, and easily create an itinerary for those places. I also leverage the amadeus API to show how safe the neighbourhood is before they travel somewhere.
Travel & Experiences: having an easy way to create an itinerary, makes it easy for people to plan their trip, and be inspired. It takes a lot of the problems of searching for what to see, and easy to share what they have planned with others.
And one of the useful aspects of this project, is that the filter can be changed to suit any other health conditions. For example, people that are agoraphobic, we could add a new filter to create a guide to suit them. Even people only interested in art and museums.
How I built it
Using an API to gather all the must see locations for a particular city, we create an itinerary by rating the must see location, working out how long you would visit each one, and what other must see places are nearby. That way I could create a daily itinerary.
For people after a safe experience mindful of COVID-19, I created a filter that examines each location to see if it was an enclosed space with lots of crowds. This excludes places like museums, art galleries, palaces, etc. So I would not include them, and look for something else. The last thing I added was the ability to add a location if you really wanted to see it.
Then the page looks up API details on the safety of those locations, as well as entry information for those countries, as well as hotels nearby. I also use alert data from sitata to give you an indication of the latest news for this location.
Challenges I ran into
The filter I use to classify whether a place is safe or not is not that great, as you can imagine in such a short amount of time. There are so many ways to make this better.
The amadeus token runs out every 15 minutes or so, and takes a while to get from Australia. This made the page load even slower, so I made a separate routine to get that token every 15 minutes, and reuse it.
I had feedback from my mentor that it would be useful to run on a mobile device, so I added the ability to get your current location. This didn't work unless you serve the pages of HTTPS, so I had to get a SSL cert to run that.
I also had to spend a lot of time to get it to run on mobile and desktop. It still does not look that great on mobile.
Adding the ability to force add in places you really wanted to see was a last minute job.
I tried adding in a map, but was worried about google map requirements, and had difficulty getting openlayers to work.
Accomplishments that I'm proud of
Creating an app that is actually usable, and people have found useful already.
Getting it all to work using your location on a mobile phone, that required some extra calls due to the lack of data. Just having a GPS is not enough for some calls to Sherpa and Amadeus.
What I learned
Getting the data is easy, displaying it in a meaningful UI is hard.
Creating a filter can be incredibly useful, and takes a lot of the work out of current guides in the market. This is a good USP.
What's next for Travel Guide
Making it even more mobile friendly, improving the experience, improving the UI, adding in a map.
I need to improve the print feature so that it only includes things that are off interest.
There are still a number of bugs in the website, which I would like to fix.
I also need to improve the filter on what sort of places are safe or not. Currently it is just a general idea.
Making a walking guide to go along with your chosen itinerary. There are a lot of things we could add to this app to make it more usable.
Finding places to eat nearby your lunch and dinner must see spots.
Adding in different filters for different health needs/personal wants.
Built With
amadeus
api
css
html
javascript
php
sherpa
sitata
Try it out
remotewhiteboard.com | Safe Travel Guide | Your own personal travel guide will create a daily itinerary for you, based on your wants and health needs. | ['John Lyons'] | [] | ['amadeus', 'api', 'css', 'html', 'javascript', 'php', 'sherpa', 'sitata'] | 34 |
9,946 | https://devpost.com/software/distancing-as-a-service | Distancing as a Service
Explainable Seat Map Allocation UI
The travel problem your project solves, including challenge(s)
The global COVID-19 pandemic and efforts taken to fight it had never been experienced by modern society before. We quickly realised that social distancing is a key factor in our post-covid
“new normal”
. Travel is not going to be the same and passenger behaviours have changed forever. Transportation companies need to provide an
outstanding passenger safety experience
not just during the crisis but in years to come.
A few days ago, the Spanish Government published a new regulation for buses:
married couples can sit together but the seat next to a single passenger must remain empty
. One of our team member's family own a small bus company business based in the south of Spain, focused on recreational trips. This kind of regulations imposed by the government don’t always help companies, nor passengers.
Fixed distancing rules do not fit every business
and are not scalable.
For shorter trips, the passenger has a myriad of transportation options: bus, bicycle, car, taxi, train, etc. For longer trips, often passengers have no choice but to travel by air: to see family, to see friends, to see the world and to live unique experiences.
The
Trave/Scrum
Challenges that we want to address with our initiative are:
Hygiene and Health
Travel & Experiences
Your Solution and what it does
DaaS (Distancing as a Service)
is a service that helps airlines guarantee safe, dynamic seat allocation using Artificial Intelligence.
Our system generates a risk profile per passenger based on data like age, itinerary or booking group. Then, these risk profiles are used to allocate seats for each passenger. The process leverages an AI algorithm that calculates the best distribution, maximising social distancing between passengers. As a result, passengers’ trust is increased and airlines can sell more seats.
How did you build it?
HQ System Overview
DaaS is based in an
REST API model
that can be easily integrated with any Airline management system. The system overview is availble in the project gallery.
There are three different communication points between the airline and DaaS:
Seat Allocation
When the Passenger Name Record (PNR) data flows from the PSS (Passenger Service System) to the Departure Control System (DCS), the airline sends a request to do an initial seat allocation. As part of this request, the following data is provided:
Anonymised extract of PNR Data including Itinerary, Booking/Group id, Age Details (Optional) and Special Service Request (Optional).
Aircraft code
Flight itinerary
Using the PNR Data and 3rd party services (Sitata, Governments data…), DaaS calculates the risk factor for each passenger or group of passengers. This calculation, along with the aircraft’s seat map fetched from Amadeus’ API, is provided to our machine-learning model, which generates the optimal seating allocation.
Get Passenger Seat
At check-in time, the airline requests the seat for a given passenger id. The allocation process has been previously completed and stored in a high available geo-replicated database, so this process is blazing fast.
Explainable Allocation Seat Map UI
The airline can visualise how the algorithm has allocated the plane and the risk factor for the different groups. This is useful for internal operations and to inform cabin crew.
What are you proud of?
Making an impact
We are really proud of the deep understanding that we have gained from the airlines industry. With this knowledge, we have been able to create a disruptive solution that
solves a real problem
.
We have spent a big amount of time to find the right balance between innovation and process disruption, and we have finally been able to design a solution that brings good benefits minimising changes in the airline process and systems.
Special thanks to our mentors Daniele and Helene for helpiing us with this.
Techie work
Apart from the solution, we are really proud of our interactive playground that allows everyone to test our APIs. We couldn't find any open source project fitting our requirements, so we developed our own in record time!!
Additionally, we have been able to connect our system with different 3rd party APIs and deliver it using cutting-edge technology provided by AWS.
What is the next step for your solution and how will you take that step?
Firstly, we will share our value proposition with the target market so we can gather feedback that will help us to define the final product.
Then, we will select the right channel and messages and we will start looking for investment support to develop a Minimum Viable Product.
In terms of features, we have put together a product roadmap based on the feedback received from mentors and the scope that we have decided to leave out of the hackathon.
HQ Product Roadmap
What tech did you use to build it? (e.g., APIs, tools, other relevant details)
Cloud technologies
Amazon Web Services to take advantages from a cloud-native application:
Lambda functions in Node.js & Python. AWS serverless technology offers us great scalability and more flexibility for our deployments.
DynamoDB. Chosen due to its high availability and easy scalability.
3rd Party integrations
Amadeus SeatMap API
Sitata's COVID-19 API
Machine Learning
Python scikit-learn - python modules for machine learning and data mining.
Gradient boosting for regression and classification.
Flask to make the model accessible as an API.
UX
Figma
Misc
Amadeus Fake PNR dataset
Tailwind and Vanilla Javascript for our interactive API documentation.
Links to test the solution (e.g.,Github, Website, App, adobe)
Is not easy to showcase and test an API... but we have created an
interactive playground
(which serves as API documentation too) where you can play with the algorithm.
The code for all the different components of the solution is available in the
DaaS Github repo
Explainable Seat Map UI designs
FAQ
How are you dealing with GDPR regulations?
DaaS doesn’t require any identifiable information from the passengers, only focuses on qualities/risk factor. The list of passengers airlines send for each flight is anonymised
Does the airline need to wait until the flight is closed to start assigning seats?
Not at all! It is totally up to the airline. However, our suggestion is to start allocating seats between 48h and 72h before the departure, so DaaS has a better view of who will be travelling and can also take advantage of real time risk data for greater optimisation.
What about the revenue generated by seats ancillaries?
This has been one of the main discussion points during these days.From our research, we have found that seat ancillaries constituted 4% of the total revenue in average for legacy carriers, per flight (reference : Jay Sorensen report 2018). The trade-off between customer safety and revenue generated by seats ancillaries seems reasonable in these crisis times where regaining customer trust is a must. In order to leverage an effective social distancing, the airline could adapt to two different models:
Selling a limited amount of seats, so the rest of the passengers can be allocated accordingly.
Offer other generic purchase options: window, aisle, front, back, etc… without fixing the actual seat number.
This will really depend on the airline. For this hackathon, we have decided to focus in our value proposition, allowing the airline to leverage social distancing with minimum changes to the current check-in process.
How do you make money?
We are a B2B business, based on a flexible ‘pay per use’ model depending on the volume required by the airline.
Are you considering the aircraft weight & balance?
We don’t directly manage aircraft balance. However, one of the advantages of allocating seats close to the departure time is that the algorithm can provide an evenly distributed allocation, making it easier for the weight & balance process.
In the future, weight & balance parameters could influence the seat allocation to optimise fuel consumption and to improve safety.
Could this service be applied to other industries?
Definitely yes. The AI from our product and our concept of ‘Distancing as a Service’ can be adapted to buses, trains, ferries, cinemas, conference rooms, etc…
We have had this in mind since the beginning. We decided to focus on airlines because aircrafts are a real pain point for passengers, as it is the only transportation method able to cover long distances effectively.
Try it out
brapifra.github.io
github.com
www.figma.com | DaaS - Distancing as a Service | Leverage AI to optimize aircraft seat allocation based on real time risk factors in order to maximize social distancing. | ['Mina Bach', 'Moises Dominguez', 'Samuel Andreo', 'Brais Pineiro'] | [] | [] | 35 |
9,946 | https://devpost.com/software/change-through-traveling | Change Through Traveling
Inspiration
Our proposal is a business model where the traveler’s desire for rich experiences helps to directly fund local development, socially and ecologically responsible tourism. Our initiative will develop travel programs in selected locations, where part of the sales profit will be directed to the communities, improving their wellbeing. Guests will choose a travel savings plan, where various levels will allow them to travel once a year, as well as define the comfort level of their trip.
With the decrease in job security, buying power has diminished. However, the desire to travel and experience the world has grown in response to increased travel restrictions and pandemic lockdowns. Our product is a perfect compromise of creating safe tour itineraries, regarding health, hygiene, and sustainability while empowering local communities to best represent themselves to a wider stage.
The travel problem your project solves, including challenge(s):
Travel & Experience: Lack of meaningful connections between travelers and the communities.
Sustainability & Relief: Financial income rarely used for the development of destinations.
Your solution and what it does:
We developed a locally-driven travel company that through sustainable travel packages creates authentic connections while supporting local communities' development. Featuring:
Travel Savings Plans: Travelers contribute to their trip month by month, providing an opportunity to make travel more accessible. We want to empower people to experience the world and give back to the communities that they are visiting. Part of the monthly payment is destined to investments for social projects in the community, developing the destination.
Travel Club: An efficient way for travelers to communicate with each other and also to connect with the location they are heading to, even before the trips start, creating meaningful experiences.
How did you build it?
We engineered an entire operating business, not only a platform. We created a business plan showing personas, marketing strategies, sustainability and safety protocols, pricing, partnerships, and a totally new approach to make traveling accessible and meaningful, creating a real and authentic impact in both local communities and travelers.
What are you proud of?
We are proud of being able to combine our experiences in tourism with the knowledge of the problems we are currently facing, creating a business model that can actually become real and solve travelers' and destinations' critical issues.
Trying to fundamentally change the way Brazilians travel and support local communities.
What is the next step for your solution and how will you take that step?
Identifying strategic and reliable partners: researching NGOs and field inspections. / Developing hiring and training programs for personnel: partnerships with universities and local technical schools. / Certification: apply to government and regulatory certification of the tourism industry. / Assist the community in creating their own business through investments.
Try it out
travelmakersdotbr.wordpress.com
docs.google.com | Change Through Traveling | A business model to enrich travelers and local communities. | ['Alini Barreto', 'Bianca Magalhanis', 'Mayra Camargo', 'Fernanda Lima', 'Vania Carvalho', 'Erica Arikawa'] | [] | [] | 36 |
9,946 | https://devpost.com/software/hashtrip | Our Problems.
Our Solutions For All: Travel Safe With Us, Rise Up Your Business.
Our Main Features.
We will launch to the market soon!
Our Logo: We try to rise up in New Normal Era together.
Inspiration
During the COVID-19 situation, we have to keep a social distancing, we can’t go outside with our friend or family. We can’t enjoy the outdoor activity as we used to do. Moreover, our favourite local shops, restaurant and café had lost a lot of their revenue from less customer came to their places due to no one feels comfortable enough to stay outside for a long time as it used to be. These reasons make us want to develop “HashTrip” application to help them find uncrowded trending location which filtered from your lifestyle and it can help travelling business to gain more customer.
What it does
An application that helps travellers plan their trip and giving the information of trending places filtered from your lifestyle and trending tag searching. The top list of search result will show uncrowded nearby your area to make a safe trip for you. Moreover, HashTrip can notify the date and location of your trip planning to you and your friends.
How I built it
We will develop our application on android and iOS platform as the final consumable software. We will always rethink and retest our UI/UX app to be clear and understandable for everyone. We build our infrastructure as modular or scalable microservices. We code it as clean as possible to be maintainable for our developer, to increase developer productivity. We plan to build it with an agile development cycle, so we can build and release it as soon as possible. We dream to release this application at the best on the first post-pandemic begins. We are not only building a mobile app, but we also make IoT devices, this IoT device will help us and everyone to count the density of the people inside a place, like a cafe, tourism, and others places.
Accomplishments that I'm proud of
We can help small local business (such as my favourite Ice-cream shop) can survive by always getting customer during the COVID-19 situation and be the one who builds trust for the traveller in travelling safely. Moreover, we feel happy and grateful to be the part who can bring happiness and joy to other people.
What's next for Hashtrip
The first step, we build an app that can recommend uncrowded safe places to visit. To achieve this step, we use some methodology to provide accurate densityÍmight on how we make a partnership with the business.
The second step, we provide a more accurate recommendation based on user interest. To achieve this step, it might take some more times to understand user behaviours on our app.
The third step, we plan to make more partnership with the businesses on the travel field. We plan to add booking features that integrated with the density system and user interest. Beside that, we can help travel businesses can always get people to make their business are running well and raised up.
Built With
android
application
c++
gmaps
ios
iot
mongodb
osm
python
react-native
typescript
Try it out
xd.adobe.com
github.com
github.com
github.com
github.com | Hashtrip | HashTrip uses the daily trending hashtags on social media and presenting these as personalized filters to our user to find hip yet uncrowded places. | ['sakonwan makvipat', 'Rizky Andre Wibisono', 'Anggar Wahyu', 'BENJAPORN KIATWONGWANICH', 'Alifa Rahmarani', 'Sutthikarn Chernsiridumrong'] | [] | ['android', 'application', 'c++', 'gmaps', 'ios', 'iot', 'mongodb', 'osm', 'python', 'react-native', 'typescript'] | 37 |
9,946 | https://devpost.com/software/tripkonsult | The travel problem your project solves, including TravelScrum challenge(s)
Difficulties in
finding and receiving the latest safety updates
during travel especially when pandemics, accidents or disasters happen. The
safety information is scattered everywhere and takes time to reach
us.
There are
limited platforms that provide customized travel recommendations
for every location and event.
There are
too many manual steps to find out business-safe areas
that makes business travel experiences complicated.
Your solution and what it does
Wanderer provides
COVID-19 safety ranking in the scale of 1 to 5
(1 is least safest [Red Zone] & (5 is most safest [Green Zone]) of a location and
recommendations of similar locations
by studying other visitors' covid safety reviews, location, weather, time of the day and season using
machine-learning technology
. This information could be very important from visitor's standpoint as
some visitors are more risk-averse than the others
and they could apply these filters and only see the desired results.
A
one-stop platform that will provide customized safety reviews of every event unique to each user
. Safety ratings come from events such as
viral diseases, tornadoes, flood, accidents, hazards, riots, wars etc.
The important point here is that since we own the back end API we could
fully change it to add more context related attributes that the customer wants for example age, gender etc.
Artificial Intelligence will
digitalize the manual steps of corporate travel
especially in TMCs that handle staff’s safety & risk factors. Wanderer will offer
personalized business trips
and preferences be studied to understand staff better. For example, in the future we could provide tags for
Business safety ranking in the scale of 1 to 5
, where business travelers can tag hotels that are located near to the police stations, have safe-lockers inside rooms, less pick-pocket crime reported areas, have proper emergency evacuation plans etc.
How did you build it?
This app is built entirely in
python
using some excellent python libraries -
pandas, ski-kit-learn and Flask
. Flask is used as a web front end to accept REST api based JSON messages while also sending JSON responses back. We currently only have a mock up for our UI as the UI engineer left our team for a different project, a day before the submission. But team did a great job mocking up the UI using Proto.io. Our dataset came from Kaggle and our backed was inspired by this great thread on the kaggle -
https://www.kaggle.com/amiralisa/context-aware-recommender/comments
.
What are you proud of?
The Machine-learning coding worked at the back-end and that we are able to scrum under the pressure to add the COVID-19 ratings as planned originally. Additional success of personalized users' data which would be useful even after the pandemic period as well as beneficial for the corporate travel industry.
Team members cooperated well even though we had to let go our one and only front-end developer. Everyone gave their best efforts and positive spirit continues.
What is next step for your solution and how will you take that step?
Application
- We planned to enhance to a full working app by completing the front-end development. We will also add options to add
reviews using texts, photos and videos
along with the safety star ratings. Mainly we would like make the app very simple to use, neat and reduce number of frictions like asking too many inputs from the user to study their preferences instead we just study from user's activity like places someone felt more threatening than for others, timings of the day we get low safety rating from users (like for a woman night time would be less safe in some regions), study crime reviews reported and be more useful to the corporate travel industry by solving more safety and risk related issues.
Business
- We planned to do marketing and get more users sign up on the basis of
B2B2C business model
where we can focus on
complementing travel management and corporate travel companies
. Wanderer will be a complementing engine to Google, TripAdvisor, Waze and travel platforms of airlines, TAs, OTAs and DMOs in the future – We can
save money on customer acquisition cost
! Our API just adds machine learning intelligence to your already available APIs. We know that every successful travel websites have tens of APIs (if not hundreds) and we don't want to re-engineer or duplicate the work. You can still have all the safety ratings that comes from your other APIs (and our special
Covid-19 Rating
) and other hazards, riots API.
We apply intelligence to it
.
What tech did you use to build it? (e.g., APIs, tools, other relevant details)
flask, machine-learning, pandas, python
Links to test the solution (e.g., Github, Website, App, adobe)
Working Code Demo:
https://github.com/vinodhalaharvi/Wanderer
UX Demo:
https://pr.to/BADLK5/
Outro - Light on user-personalization
Have your ever visited Amazon or Netflix (just kidding) and have you ever visited Walmart (also kidding) or other sites lately? Have you noticed any difference in experience and wondered why sites like Amazon keep you coming for more, want you buy stuff that you don't really need but you wanted it and now you have it :)? Have you ever ran out of movies to watch and asked a friend for his faves list so you could just steal watch them? Wonder why? why? well the answer is user personalization. When you enter amazon's site they know more about you than you think. They know more about users like you! they know what you don't know, what you are about to know and what you are about to make other people know what you are going to know. It's really that simple. Knowing your user and giving suggestions after you know your user make a lot of difference, or just enough to have them come back again. That's a business winning decision. From the user's perspective they want to know what has been "collective" common sense. We think this is how all the travel sites should be, so if you need to find a fun place for your next visit you don't have to google it. It should be obvious - at least after we tell you :).
Built With
flask
machine-learning
pandas
python
Try it out
github.com | Wanderer | We don't recommend the ways you travel, we recommend better ways of travelling. | ['Néstor Suárez Alfonso', 'Vinod Halaharvi', 'Sreejith P', 'Sutha S', 'Avneet Kaur'] | [] | ['flask', 'machine-learning', 'pandas', 'python'] | 38 |
9,946 | https://devpost.com/software/landmark-d2jgrt | Feed where you can view what everyone is posting
The comments on a particular post
Directly Message fellow Landmark users
Enter a room and place your desired 3D object in world space. The object can be set as public or followers only
The profile page of a user where their bio, followers, following, posts, interests and places visited are visible to their followers.
The travel home which gives information about the weather of a place. It also provides a 360 view of selected places and activities to do.
The Planner helps one plan a trip. It gives information like the timezone of a place, and other information like Visa Requirement.
Highlights the restrictions on Travel to a particular city or country.
Uses amadeus API to provide safety information about a country.
Inspiration
We inspire to be the new social media of the AR community. Social media influencers have impacted the lifestyle of many people, we were inspired to use such influencers to inspire people to travel. We were driven by the line 'The World is Your Social Media'.
What it does
LANDMARK is a platform which puts a new perspective to social media, it feeds the demands of the people who are always in search of something new, something different. LANDMARK brings a whole new kind of being social, one where you don’t just put up images and videos, but a place which you can see, feel and recognize through your eyes.
Travelling is a cycle which consists of three fundamental parts - planning, the travelling, and then the showing off, posting photos, which in turn, inspires other people to go and travel to these locations. Our app covers this entire cycle.
It allows the user to place 3D objects all around the world. These objects are either open for the public to view or just the followers of the user. You and also post other photos and videos on our app, chat with fellow users to plan trips, hitchhike, etc. The possibilities are endless.
We also have a planner that helps you plan your trips. It includes information like Visa requirements, travel restrictions, safety and activities in a particular city or country. It also provides information about the weather and timezone of the location.
How We built it
We used Unity Game Engine to build the entire app. We further used google cloud anchors for our AR application and used APIs for Sherpa, ipapi, openweathermap etc. We used google's firebase for login and authentication and even the realtime database.
Challenges We ran into
Our application is huge and it was near impossible to complete it in the span of three days. Implementing the Augmented Reality part was challenging since almost all useful SDKs were off the shelf. We had to learn a lot to implement the idea that we had.
Accomplishments that We are proud of
We have made a new brand of social media , we thought of a ridiculous idea and we implemented it in under three days, we came together as a team and we are really proud of that.
What We learned
We learned about APIs, backend development, UI/UX and moreover about marketing and product design.
What's next for Landmark
We plan to make the app a one stop shop for all the travelers, for this we have planned to implement flight, train and hotel bookings from within the app itself. We also plan to add a feature that allows users to click and post pictures with the 3D objects they have placed leading to a whole new set of possibilities. We also plan to collaborate with influencers and travel websites to organize events through our app which will help improve travel.
We also plan on using an IoT based system which will be installed in partner restaurants using which we could inform the user about the number of people present so that the user can make an informed decision of visiting the place or not at that particular point of time.
Built With
amadeus
sherpa-romeo
unity
vuforia
Try it out
drive.google.com | Landmark | Aspire, Experience, Inspire. We at Landmark want to aspire people to travel, share their experiences and inspire others to travel through our app. We want to be the social media of the AR Community. | ['Abhijeet Swain', 'Akash Jha'] | [] | ['amadeus', 'sherpa-romeo', 'unity', 'vuforia'] | 39 |
9,946 | https://devpost.com/software/greentrip-gnyp7i | Inspiration
We want to create a product that participates in the global change that we have to make. We want to build a product that's based on equity and respect of the environment.
The Trave/Scrum Challenges that we want to address with our initiative are:
Sustainability & Relief
Travel & Experiences
What problems does GreenTrip address?
Are traveling and protecting the planet incompatible? No !
The travellers of tomorrow will be more and more demanding of information concerning their ecological footprint, as the figures from these studies show:
1 in 2 French people spend their summer in France
76% of French people want sustainable solutions to be implemented quickly
17% of Europeans choose their destination according to the ecological footprint of the trip
15% of French people have already made a responsible trip
Source: Booking 2019 Ecotourisme
Also, the current COVID 19 health crisis calls into question the functioning of the travel industry.
Many travel companies around the world are not prepared for this radical change because they still offer the same pre-designed trips that are identical for everyone.
As you already know, travel companies have to evolve towards a sustainable system.
But how can we participate in this transformation?
How to change consumption habits in the travel sector and make them environmentally friendly?
GreenTrip is the responsible traveller's booking platform.
Our goals
1 / To encourage travelers to opt for responsible travel by simplifying their search
We give the keys to responsible travel to the travelers of tomorrow. We believe that by creating the right tools and making the right information accessible we can evolve the world of travel towards a respectful and sustainable ecosystem.
2 / Improve the distribution of the economy in the travel industry
We will distribute the income equitably among all the players and will reinvest part of the profits locally.
3 / Educate travelers
We want to participate in the global ecological transition by educating travelers and encouraging our partners to do the same.
What GreenTrip has to offer ?
Handpicked hotels for a 100% fun and responsible trip.
A precise yet clear rating system based on detailed environmental evaluation.
A fair economic system between hotelkeepers, brand partners and us.
A rewarding program for users : we will plant trees and offer perks from our partners.
Dynamic packages to meet all needs
Our trips will be in the form of dynamic packages which will perfectly adapt to the different search criteria and offer a complete responsible trip: the most responsible accommodation and transport.
You can also choose to book only the hotel.
The rating of our responsible trips
We put forward the criteria for rating accommodation and transport in a fun and precise manner.
We have created our own charter including specific criteria, some of which are inspired by European eco-labels.
We verify ourselves that the hotels meet these criteria.
Search by responsible criteria
In addition to the standard search criteria, we suggest that the user focus his search on the criteria responsible for his choice.
Business model
3 revenue streams.
B2C
Direct booking
B2B
Affiliate marketing : Enables ecologically conscious partners (e.g. Biocoop supermarkets) to add value for their customer while growing revenues through affiliate marketing
White labelled platform : Plug and play solution enabling partners to offer their customers a travel
solution under their own brand
Value proposition
Awareness of the environmental impact
We do everything we can to make our users aware of the environmental impact of their trip:
Details of the note responsible for accommodation based on different pillars such as waste management or energy management
Highlighting C02 emissions for the chosen transport.
Our 100% end-to-end packages
We offer the most responsible route possible from the place of departure to the accommodation.
The gamification of our loyalty system
In order to encourage the user to consume more responsibly, we have implemented a gamified loyalty system
The more they book responsible travel on our platform the more they will gain experience and improve their green tripper status in order to have access to certain privileges
For each reservation, we will offer him a number of virtual seeds. We will plant a tree for our customers for every 100 seeds reached
A scalable platform
Can be developed locally in France and Europe at first, then in the rest of the world.
How we built it
With passion and dedication first !
Then, we proceeded in 4 steps:
1 / Research phase
to better understand the sector, identify the competition and trends, identify user needs
2 / Definition of the project scope
3 / Ideation phase
in order to generate ideas
4 / Creation of the digital solution
(course, functionalities, design…)
Mock ups and prototype
We produced the models and the prototype on Figma.
Platform
To host the hotel inventory, we use the open source CMS Strapi.
The platform is developed in full javascript. We particularly use vuejs as a front framework. Nuxt as framework SSR and PWA. We use Nodejs and express as middleware API. For deployment and hosting, we opted for Vercel (formerly Zeit now).
What is next for GreenTrip ?
We have a good news : we aim to continue working on this project !
1 / Contact the accommodation we have identified :
The next step for us is to get in touch with the accommodation we have identified in order to check whether they perfectly meet our responsible criteria but also to invite them to participate in the proper development of the project.
2 / Carry out various user tests :
We will do user tests to test our journey and our various features. This will allow us to protect ourselves and respond well to the different needs of our target.
3 / Improve our product :
Offer customers to offset their C02 emissions by making donations when paying. These donations will allow us to plant trees or participate in various projects such as the conservation of the Amazon rainforest in Peru or the development of biogas in Sichuan.
4 / Contact B2B clients we have targeted :
Any pure internet player with a qualified audience with eco-responsible consumption habits is a potential client.
5 / Perform our first fundraising :
This will allow us to support our development.
Links to test GreenTrip
Coded website link
Prototype design link
Video presentation link
See you soon on GreenTrip !
Nolwenn Sill - Reynald Lechapt - Dylan Grava
Built With
express.js
figma
javascript
node.js
nuxt
strapi
vercel
vuejs
Try it out
greentrip.vercel.app
www.figma.com | GreenTrip | The responsible traveller's booking platform | ['Nolwenn Sill', 'Reynald Lechapt', 'Dylan Grava'] | [] | ['express.js', 'figma', 'javascript', 'node.js', 'nuxt', 'strapi', 'vercel', 'vuejs'] | 40 |
9,946 | https://devpost.com/software/bitnation-passport | Inspiration
We live in a globalized interconnected world. More than half of the adult population uses prescription medication yet the ability to access prescriptions, refills, or medical records remains complex. In addition to language barriers, legal and medical restrictions, and global pandemics, travelers and medical professionals are seeking a secure and reliable method to exchange this vital information and provide much-needed services and care.
What it does
With the Bitnation ePassport your complete medical record including prescription medication is safely and securely stored on your device. The data is only shared with individuals that you trust using a unique QR code. Approved medical professionals will be able to receive and read your medical information in the language of their choice along with local references. Bitnation ePassport provides a system to prevent fraud and validates international signatures of doctors on the files by using blockchain technology.
For this Hackathon Bitnation ePassport will address the First Challenge by demonstrating one feature of the ePassport: An American traveler receives a prescription in Romania. The traveler receives the prescription in English and saves the prescription to his ePassport. The medication prescribed is easily available in the USA. While traveling the traveler misplaces his medication and he needs to refill the prescription at a Brazilian Pharmacy. With ePassport the Brazilian Pharmacy is able to scan the prescription. ePassport translates the prescription to Portuguese and also provides the Pharmacist with the name of the local equivalent of the medication.
How we built it
Our ePassport is a mobile app for both Android and iOS built with web-development technologies, this allows for truly cross-platform development. We use QR scanning technology for transmitting files between devices using military-grade encryption (AES-256). The data for the prescriptions are automatically loaded into the language of the user's device.
We used the Pusher API to send instant notification between users and request permission to access a file. We also used blockchain technology to validate the data and make it tamper-proof thus guaranteeing that the prescription has not been hacked or altered in any way.
Challenges we ran into
We used many different technologies and making them all work together brought many bugs and conflicts in the code, however, we managed to overcome them.
Accomplishments that we're proud of
During this hackathon, we managed to create the app on time even though it took a huge coding effort to assemble all the pieces. Deploying one full operational app from scratch is quite challenging in 3 days. Our team also came up with an amazing UI. Finally, we manage to learn how to use PlayPlay and create our presentation video.
What we learned
We have had great mentoring not just with the mentors assigned to us but also with many others that we were lucky to connect to. In this period we realized that the market offers a lot more opportunities than we first realized, especially for business travel, which is a market we had little knowledge of.
What's next for Bitnation ePassport
Next, we want to test pilot our solution while improving it with new features and add all the translations necessary.
Built With
angular.js
blockchain
css
html5
ionic
laravel
php
Try it out
github.com
github.com | Bitnation ePassport | Traveling is agreat experience until you need Medical Care. With Our app you can send your medical records in your native language and the doctor/pharmacist will receive in his own language | ['Michael Ribca', 'Thiago Souza', 'Jennifer De Souza', 'Amalia Amaricai'] | [] | ['angular.js', 'blockchain', 'css', 'html5', 'ionic', 'laravel', 'php'] | 41 |
9,946 | https://devpost.com/software/safety-atlas | Self-service & Social distanced air travel!
https://youtu.be/oapiHeNSUCA
Inspiration
We got inspired by the challenge to address the health concerns long after the COVID-19 slowdown in Air Travelling has passed. The Travel Industry needs to get back on the Air, but also needs to be healthy and secure:
https://safetyatlas.online/
✈️☁️
The Global Travel industry
🌐📍is passing through the biggest challenge and turbulence ever experienced, the coronavirus pandemic. The International Air Transport Association (IATA) estimates that
the global aviation industry will lose $252 billion in 2020
in the wave of COVID-19. The complexity of this virus for the Travel Sector is unprecedented; and the Passengers, Governments, Airlines, Travel companies and the Tourism sector urges to seek for Technological and Global solutions to this crisis.
The challenges for the air travel sector requires new collaborations, new technology and new processes;
Biometric identity innovations combined with Blockchain technologies have the power to accelerate the Travelling Ecosystem recovering, by working together, and addressing critical challenges for the industry, at the same time that they deliver impactful benefits for passengers, governments, airlines and airports. The emerging of a new generation of biometric identity solutions that accurately matches facial image, voice recording and fingerprints compared in large galleries of samples stored in Distributed Databases, in seconds, have the potential to accelerate the transformation and recovery of the air travel sector by providing Secure, Touchless and Self-Served experiences for the Travellers.
So, our team started to think about
how we can generarte confidence
in customers, governments and the travel sector, by building new ways to Authenticate users Identity and Digitalizing Travel documents and transform Customs & Boarders to contactless controls at the same time that we keep all this data validated and secure for:**
Travellers/Passangers
,
Airports
,
Governments
,
& Airlines
.
💡The Future of Air Travel ✈️ is Digital Governed, Touch-less, Biometric and Self-served!
Biometrics can replace repetitive paper or physical document-based checks that are less secure, more open to error and that increases the spread of contagious diseases.
`
What it does
Our solution integrates a virtual assistant, computer vision and speech recognition to accelerate the air travel services automation and the authentication of users, by providing a contactless and
Biometric Self-Service technology
for the passengers experience, at the same time that we protect the users
personal data
during their air travels, from Checkin, Immigration to Exit the Airport:
Passport Check
,
eDocument Validations
,
Security Screening
,
Biometric Borders
,
Arrival
Exiting Airport
Checkin Online Live Demo:👇
Elevator Pitch
How we built it
Combining APIs of Biometric technologies, Natural Language Processing models and Decentralized Database our solution can provide a secure digital identity through an automated system that meets a set of criteria and rules determined, such as:
#1 Passengers have their biometrics uploaded and validated through a distributed network that records transactions between the parties in a verifiable and permanent way.
#2 Then, the user upload the picture of their passport to extract the information.
#3 Once your Digital Passport has been created, now you can create tokens for document verifications in Boarders & Customs that accepts our technology!
#4 Passengers can increase their Biometric matches in the Blockchain to avoid extra interactions and validations in airports.
Why is this important? Reducing the contact with unnecessary superficies decreases the COVID 19 Spread and helps providing a better environment for the recovering of aircrafts and promotes a healthier environment.
Data, Resources & APIs
(1)
Blockchain Data API
(2)
Sherpa API
(3)
Open Computer Vision
(4)
COVID19 Restrictions API
(5)
Amadeus Self-Service API
References:
(1)
IATA One ID
(2)
Blockchain and Digital Identity. The European Union Blockchain observatory and forum
(2)
Digital Health Passports
(3)
Make Users Own Their Data: A Decentralized Personal Data Store Prototype Based on Ethereum and IPFS
(4)
Propagation analysis and prediction of the COVID-19
(5)
Data-based analysis, modelling and forecasting of the COVID-19 outbreak
Challenges I ran into
Our biggest challenge was to make Airport processes more contactless and Healthier for the Travellers, at the same time that we ensure strong and secure borders controls and that passengers data & identity remains protected.
Accomplishments that we are proud of
LIVE DEMO:
For the main purpose of this challenge, we provide and end-to-end encrypted platform so the Judges and Mentors can test our solution:
t.me/SafetyAtlasBot
We choose
Telegram
since it's one of the most secure conversational platforms, but in the future the App is going to be an stand alone App based on a Flexible Blockchain.
Testing Instructions for Safety Atlas bot in Telegram 🤖
Before you can try our virtual agent you need to download the App and create an account in Telegram!
#1
Go to
t.me/SafetyAtlasBot
#2
Start the conversation with a Hi, Hey or Bot.
#3
Enjoy the conversation!
Disclaimer:
You must not upload real Passport Photos, Personal Identifiers or Biometric Data. This project is a DEMO for the Travel Scrum Hackathon 2020 and hopefully we make it real into the market, but until then you should not provide any personal information, even though the solution is based on and end-to-end encrypted platform.
What I learned
Airlines & Airports have to comply with a variety of rules and regulations associated with air travel, included: accurate advance passenger information data, identity verification at boarding and bag-check, and travel document credential checks. Also, we learned that the health, speed and convenience of doing
Customs & Boarders checks
could be constrained by the requirements for Governments & Airlines to check physical documents and passenger’s identities prior to Air Travelling.
During this challenge we found a great market opportunity in Business models such as: Passport Identification as a Service (PIaS) and Biometrics in Borders. This two models combined has a potential market value of more than $4 Billion USD!
What's next for Safety Atlas
Partnership Tech Companies providers of Security & Biometrics in Boarders .
Proof of Concept Q4 2020: Airports in America.
Proof of Concept Q1 2021: Airports in Europe & Asia.
Welcome to the Future of Travel documents, contactless Customs & Boarders controls by Safety Atlas!
Built With
blockchain
cloud
javascript
machine-learning
natural-language-processing
sherpa
Try it out
github.com
safetyatlas.online
t.me
www.canva.com | Safety Atlas | Digital Passport for Self-served & Contactless checks in Boarders, Immigration & Customs during Air Travel, powered by Blockchain & Biometrics! | ['Kevin Blanco', 'Leandro Camacho'] | [] | ['blockchain', 'cloud', 'javascript', 'machine-learning', 'natural-language-processing', 'sherpa'] | 42 |
9,946 | https://devpost.com/software/non-zone | Inspiration - Problem & Solution
◦ Now, on one side, whether on a personal or on a professional level – Social Interaction
has been the most heavily affected by COVID global crisis. We may say, we have "life before COVID" - and "life after COVID."
◦ On the other side, these times of Global crisis have hit the Tourism Industry and Local Businesses with one of the worst crises in history.
◦ Social Distancing COVID turned crowded, lively centers in "non-places", as described by Marc Augé – mere places of transit, where the human beings remain anonymous - and the event, or situation is not relevant enough to be remembered.
◦ A Non-Zone is the exact opposite of this. It's a personal place. A place with a Story. Where something has happened.
◦ Not a map of Locations, then but a map of Stories – to create a deeper human connection in the times of Social Distancing, and a richer traveling experience, whether somewhere on the other side of the world, or right downstairs, in a common road.
Industries & Audience
Tourism Industry
- specifically:
Experiential Traveling / Travelers
Solo-Traveling / Travelers
Roles in the ecosystem:
"Zoners" - who
create and discover
new
non-zones
"Explorers" - who
visit and experience
existing
non-zones
"Curators" - who
validate
the new stories/non-zones created by
Zoners
On one side, each new
non-zone
works as a
template
- so that every time a new
Traveler
likes the non-zone and adds a personal story/experience to it, the user who created it (Zoner) will get
a monetary reward
in the form of tokens.
On the other side, in these times of crisis for the Tourism sector, Merchants (restaurants, tourist-sector providers, etc) can join the
Non-Zone ecosystem
- boosting their business by accepting the ZONE tokens, and immediately appearing on Travelers' map.
This design keeps Non-Zone's experience fun, easy-to-use, and beneficial for all the categories involved in Experiential Traveling: content creators, travelers, and experiential service providers.
What it does - Our Product
Our Solution uses Storytelling, Geo-Fencing and Blockchain to create a global map of "special places."
Users (Zoners/Travelers) can visit usual roads/streets - or may travel on the other side of the world - and can easily "pin" a new
Story
, based on their personal connection with it.
Any time Users "pin" a new location, coordinates are added automatically, and they need to add a title/description/hashtag for the
Story
to be added to the map.
The
Mobile app works as a "Zone Detector"
- sending Travelers a pop-up/audio notification any time they pass by a new
non-zone
.
It also works as an actual map for
Travelers
:
Users can create their
Zone-Itineraries
, and travel based on the
non-zones
listed.
Users can easily find
Local Guides
providing Tours in the nearby Zone.
Use of Blockchain:
We are building a Value-based Network using "Proof-of-Interaction":
Every non-zone is "minted" as a unique Non-Fungible Token
Zoners
can profit when creating a new non-zone, that works as a digital property
Their profit depends on the "value" of the non-zone itself.
Value of a non-zone is established through the number, and the quality, of Interactions.
Explorers
are travelers who discover and validate existing non-zones. If they want to interact with the non-zone - for example "signing in" - "adding to the wall" - "checking spot in Zone Passport" etc. - they need to use SPACE, an internal credit system.
Every time SPACE is used to interact with a non-zone, 10% of it comes back to the Explorer converted in ZONE Points: discount coupons to use with Merchants in Non-Zone ecosystem.
We use Storytelling, Geofencing & Blockchain to create every non-zone as a profit-
sharing marketplace - and our Business Model was designed to be consistent with the vision of our ecosystem, and to maintain our network liquid and sustainable.
How we built it
React
Typescript
Firebase
Google-maps
Open Community Map
What we are proud of
In few days we turned Non-Zone from a draft project to a fully functional prototype that you can already download(!), we built a strong, balanced team – and we already engaged users in multiple hot-spots in Europe.
Next Steps for Non-Zone
We will continue building our online presence, release our website, and start publishing our user-generated contents.
In 1 month, we will be ready to launch our product. For our Market Entry we will focus on countries such as Italy and France, with a rich cultural heritage - and a quick-track to partnerships, essential to us for onboarding real users and providing a better traveling experience.
Check out our Solution
Feel free to explore our project's repos on GitHub
:
https://github.com/non-zone/non-zone
Or just
try out our app at
https://non-zone.web.app
Built With
firebase
google-maps
open-community-map
react
typescript
Try it out
non-zone.web.app | Non-Zone | Non-Zone is the global map for experiential and solo-travelers. "Pin" a new location, or discover a new "magic" place. Anywhere, at any time. | ['Alex P', 'Serjey Rudenko', 'Dmitry Yudakov'] | ['Global SOS Finalist - Anything LocalTrack'] | ['firebase', 'google-maps', 'open-community-map', 'react', 'typescript'] | 43 |
9,946 | https://devpost.com/software/tripsafe-co-moavkj | Helping to create better freedom for travellers
The travel problem our project solves.
Tripsafe.co is creating the infrastructure to support a greater freedom of movement for tomorrow's traveller. During our research and discovery phase, Airlines bought to our attention other sectors in the safety of travel which also needed addressing.
These current systems are extremely out of date and are becoming a burden on the operational running of these airlines. So as a part of the travelscrum challenge we are focusing on a solution for these groups.
What it does
The tripsafe.co app is focusing on a module that digitises unaccompanied minors and assisted travellers for all suppliers across the ecosystem. It allows the travellers to be pre verified along with guardians who may need to submit their personal ID in a secured and trusting format along with live check in updates for all parties concerned.
How I would build it?
With the front end we decided on reactJS for the supplier interface and reactnative for the travellers application on both Android & IOS platforms. With the backend we are using laravel to build an API for our own SDK. We have made sure that high security and quick response are at the forefront of the build. All of this is built on AWS as it adheres to all local data compliance and Google’s firebase to on-board customers more efficiently.
What are we proud of?
That our module can greatly reduce the operational cost of airlines, improve the overall travel experience for these sectors of the travel community and provide a product that works across multiple carriers and their networks, along with airports, ground staff and foreign ministries.
Links to test solutions
I have added links to the tripsafe.co website along with links directly to the Hi fidelity mockup and supplier interface in the below comments. -
https://www.tripsafe.co/media-team
What is the next step?
Regards the module design, we would look at incorporating interactive airport maps to allow assisted travellers to move freely. IE where are the wheelchair access points, lifts and so on. From turning this into a usable product our next step would be to connect with people or companies who are looking for a solution to improve their customers well being or improve their duty of care for their employees. Tripsafe is aiming to become a fully scalable global travel safety solution and we want to start the discussion and be apart of the solution.
Built With
api
c++
firebase
react-native
Try it out
xd.adobe.com | Tripsafe.co | Creating advanced infrastructure today to facilitate the freedom of movement for tomorrows traveller. | [] | [] | ['api', 'c++', 'firebase', 'react-native'] | 44 |
9,946 | https://devpost.com/software/get-work-nsza80 | logo
user interface for service seekers
Possibility to change your profile from service seeker to service offers
user interface for service offers
only app where you can see when your service is coming (other then driver like on uber)
6 members of team
Inspiration
Millions people uneployment all around globe. All service providers on one app!
What it does
It is the only app where one can find reviews, price, location, experience and contact of service provider in one place,
focus is on C2C type of mediation and
on traditional services where 2 people phisically meet like: • Home care and design (interior designing, pest control, cleaning, laundry, glasswork, woodwork, waterproofing, masonry, carpentry...) • Repair and maintenance (handyman, locksmith, plumber, electrician...) • Health, wellness, and beauty (manicure, pedicure, physiotherapy, massage, trainer...) • Others (nanny, tutor, cooking, walking pets, shooping...)
How I built it
MY TEAM USE ANDROID AND VISUAL STUDIO.
This solution is disrupting the traditional business models, replacing them with a platform to connect the major stakeholders of a service exchange (Service provider and customer). Current MVP is a web page where one can offer or book services. The process is not automated yet so applications, bookings and all communication is first going to administrator. Furthermore, the implementation of Google maps is missing so locations are added manually on the map. There is no possibility to create and edit a profile or to leave reviews and comments. There is currently 14 service providers offering their services trough the web page.
Challenges I ran into
Financial means needed are for covering first year of operational expenses:
Computers 3.150 USD
Marketing 5.249 USD
Office ownership 42.362 USD
Bookkeeping 1.575 USD
Sallary 35.302 USD
Accomplishments that I'm proud of
WE HAVE PATENT ! Name of patent: SUSTAV ZA POVEZIVANJE PONUDE I POTRAŽNJE USLUGA, reported at Croatian Herald of Intellectual Property (Hrvatskom glasniku intelektualnog vlasništva) No. 5/2019 (8th of March 2019) Patent No. P20171297A. Holder of intellectual property rights: Mario Marević, Podgorske skale 9, Makarska
WE BUY A FIRM IN NORTH SIDE OF CROATIA THAT ALSO FIND SERVICES THROW WEB
What I learned
My team learned app functionalities: • service provider info (name, photo, education, professional experience, list of services) • service provider (and seeker) rating, reviews and comments • possibility for service seeker to determine suitable time and place where he wants the service to be provided — once provider agrees this way they both know particular time of delivery and a time duration • push notifications (when service is booked, when booking is accepted, when appointment time is changed, reminder to leave a review) • location of provider on map + real-time tracking • price of services provided (HRK/h) • browsing trough options with filters like service type, location, price and reviews • recommendations of service based on proximity, reviews, comments and price. • quick and easy payment mode (cash or card) • provider contact info — available once the service is booked which allows easy communication • overview of all available service options, while the most quality ones will appear on top
What's next for Get Work®
LETS PUT THIS WAY:
Unemployment rate goes up. There was 8.995 unemployed people in Split, 16.548 in Zagreb, 3.700 in Rijeka and 5.049 in Osijek in March 2020. There was 8,3% (152.590) unemployed people in Croatia. Unemployment Rate in Croatia averaged 16.9% from 1996 -2020. According to Trading Economics unemployment Rate in Croatia is expected to be around 13.50% in 2021.
By 2020, the number of freelancers is projected to outpace full time workers - 73% are looking for a job on dedicated internet platforms.
Because of economic crisis more people will need an extra source of income —79% of existing users in on-demand economy are working as part-time.
APP GET WORK IS TOLL THAT WORD NEED IN THE YEARS TO COME BECAUSE OF ECONOMY CRISES CAUSED BY CORONA-VIRUS
Built With
android-studio
visual-studio
Try it out
drive.google.com | Get Work® | Get Work® - Mobile app between service providers and service seekers. Booking and offering services in accordance with 21st century. | ['Mario Marevic'] | [] | ['android-studio', 'visual-studio'] | 45 |
9,946 | https://devpost.com/software/covid19-tracing | All you need for travel planning and assessment
Inspiration
Tourists entering any country are facing the same issue, which is necessary to have travel planning such as prepare physical documents like itineraries, travel insurance and country navigation etc
What it does / Your solution and what it does ?
Business Case: This application serves as a digitalized paltform for integrating travel and health needs of tourists
Step 1: Tourists check in to the application with an automated scheduling itinerary plan by our AI bot, Alvis.
Step 2: The itinerary and travel plans get updated with suggestions like new places and local food / accomodation recommendations. The system will also monitor your health and travel plans by providing notifications and diagnostics
Step 3: The user would have their itinerary updated and advised with new itinerary plans
Step 4: The user could form travel communities using the application for tips on travelling safely
travel-alvis is an AI powered digital check in solution for tourists , which enhances their travel experience by replacing physical touch with elegant diagnostics and contactless checkpoints for post COVID-19 with AR experiences
The travel problem your project solves, including TravelScrum challenge(s)
Travel: Enhancing travel experiences through immersive AR
Health and Safety: Algorithmic analysis of user health
Business Impact
: This application would be useful in creating health safety measures for tourists travelling in post COVID-19. The application offers responses and right steps to take through our features
1) AI-powered itinerary system assistant
2) echoAR modelling of travel attractions
2) Chat support
The application serves as a digitalized and contactless delivery of travel whereby users are more connected and feel safe in response to preparing for post COVID-19
Upon opening of economy, more tourists would be encouraged to take up travel commitments by better insuring their travel. Each user would have their travel insurance tracked in our system
Originality
: Yes, we are one of the few with travel and wellness elements, all in one application !
How I built it
The application was built using Bootstrap 4 framework, echoAR, google firebase, google cloud
Challenges I ran into
The integration of different technologies to make an application fully functional was challenging. I had overcame it through mentor discussion and help from T/S community
Accomplishments that I'm proud of
The new implementation of AR elements for travel and health purposes is a new concept and implementation which I am proud of
What I learned
I learned about new technology providers such as airline content technologies and immersive technologies like echoAR
What's next for travel-alvis
The application would be further scaled as a travel and health community for tourists to find suitable accommodation or hospitals and enable better tracking of patients' well being.
Revenue model would be used as pay per use model, which allows users to customize their travel needs
Tourists coming in to any country could check in to this application for quick diagnostics for free
Built With
echo-ar
firebase
glide
google
google-cloud
ml
uipath
Try it out
travel-alvis.glideapp.io | travel-alvis | An AI powered digital itinerary solution for tourists by providing customized travel plans in response to post COVID-19 using enhanced AR experiences | ['Xuan Wei'] | [] | ['echo-ar', 'firebase', 'glide', 'google', 'google-cloud', 'ml', 'uipath'] | 46 |
9,946 | https://devpost.com/software/tipkoto | Login Screen
Home Screen
Posting Tips/Recommendations
Pinned Tips Section
Tipster's Credibility Metrics and Posts
Pin The Selected Tips
Traveler's Profile
Service Provider's Profile
Service Provider's Details
Service Provider's Google Map Location
Traveler's Menu
Traveler's Network
Find Other TIpsters
Traveler's Pending Approval
Traveler's Pending Request
Notifications
The travel problem your project solves, including TravelScrum challenge(s)
Expectations VS Reality
Bogus positive reviews
Paid and unreliable reviews
Troll reviews
Travel & Experiences (TravelScrum Challenge Number 2)
Hack the travel experience, in ways that leverage technology before, during or after the journey, and positively transform Travel and Tourism for consumers and the industry. Suggestion: consider travel inspiration, searching, planning, shopping, experiencing, memorializing and sharing ... and don't overlook mobile services.
Your solution and what it does
The APP will be use to post/promote TRAVELER'S experiences from destinations to restaurants, hotels, airlines and ticketing agencies and will allow other TRAVELERS to see and rate it if its worth it or not. The PORTAL will have a functionalities where people can validate if the TIPS/RECOMMENDATIONS are 'True', 'Not True', or they have 'Doubt About It'.
The APP will also features Weekly TIPSTERS as the system will show who among the TRAVELERS that posted TIPS/RECOMMENDATIONS are truthful to their postings. The system will pick TIPSTERS of the Week by most truthful response or who have more AGREED responses to their TIPS/RECOMMENDATIONS. System will weight the CREDIBILITY points of each TRAVELERS who will post TIPS/RECOMMENDATIONS, this will be use to prevent BOGUS, TROLLS and UNRELIABLE REVIEWS.
Another feature of this APP is a TRAVELER can be able to save the TIPS/RECOMMENDATIONS which they think is worth it and they can go back to it anytime they want to check it. This is one of the problems facing by 'netizens', when they see something useful or they are interested in, they are having a hard time finding it again as it is push back by the new ones. With this feature, they can check it anytime they want as it is saved to their "PINNED/BUCKET LIST SECTION"
Though the system gives more IMPORTANCE to the TRAVELERS, the PORTAL also allow registrations of Travel Service Providers which will help them do improvements to their services, products or brands based on the outcome of the feed backs.
Summary:
*** FOR TRAVELERS
Travelers can post TIPS/RECOMMENDATIONS based on their experiences from different destinations to hotels, airlines, restaurants, travel agencies and more.
Travelers will earn CREDIBILITY points everytime they received positive feedbacks on their TIPS/RECOMMENDATIONS.
Travelers can select if they want to be a PUBLIC TIPSTER or their TIPS is limited to their own NETWORK, FRIENDS and FAMILY only. This can be configure on Profile section.
Travelers can share itineraries, tips and must haves for each of specific DESTINATIONS that will be useful to other TRAVELERS.
*** FOR SERVICE PROVIDERS
HOTELS, AIRLINES, RESORTS, ETC can register and they will be assigned a QR Code where they can print and put it on their BUSINESS facility so that Travelers can scan it and post it directly to the portal and give reviews about their experience.
Can also post tips/recommendations which will be rated based on the credibility of their business as service provider.
Can post details about their business and services offered.
Can post booking link.
*** The PORTAL is not a booking site as prices and delas are not the main focus of this APP. It is more important to give TRAVELERS a credible PORTAL to see which destinations or service providers are worth the money, regardless if it the cheapest one or the most expensive one, it still boils down to the EXPERIENCE. This APP gives importance to the TRAVELERS, cause without them, there will be no Travel and Tourism Industry.
How did you build it?
I created a running prototype version using asp.net c#, DevExpress and MS SQL Server as database. This is a simple running prototype just to show how it will work. Users can post TIPS/RECOMMENDATIONS, invite friends, check TIPS/RECOMMENDATIONS from other TRAVELERS, and as a registered members too, they can rate it.
What are you proud of?
Knowing that I can still design and conceptualize solutions which I thought I can't do it anymore as I left IT World for a long time. I've been an IT Consultant before and I am commissioned to design solutions for any kind of businesses. And this is the first time I did this again and happy that I can still do this kind of stuff. But I know that it still need more time to polish this PORTAL APP that will help to combat bogus, paid and unreliable reviews which will address the EXPECTATION vs REALITY dilemma.
What is the next step for your solution and how will you take that step?
Next step is to pilot it first on selected DESTINATIONS, let's say BORACAY or EL NIDO in PHIILIPPINES (though the design of the system is capable of handling more), where all TRAVELERS who experienced being on these DESTINATIONS who tried the HOTELS, RESORTS, or TRAVEL AGENCIES will share it on the PORTAL so that the other people will search for the most CREDIBLE TRAVELERS who can recommend best experience on the said target DESTINATIONS.
What tech did you use to build it? (e.g., APIs, tools, other relevant details)
I develop it using ASP.NET C#, DevExpress with MS SQL Database. It is a web-based application but have a provision to connect to mobile apps too
Links to test the solution (e.g., Github, Website, App, other)
http://supermapoo-002-site7.htempurl.com/
Users:
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
[email protected]
Passwords : xxxxxxxx <---- same for all the users : 8 lowercase 'x'
Built With
asp.net
c#
html
javascript
mssql
Try it out
supermapoo-002-site7.htempurl.com | TIPSTER! | The idea is to have an app or tool that will be use to promote destinations by sharing it, and allow people to rate it, to let other people know how it feels to experience it. | [] | [] | ['asp.net', 'c#', 'html', 'javascript', 'mssql'] | 47 |
9,946 | https://devpost.com/software/safety-travel-app | Safe travel
app for iOS and Android that was born to help to the revival of tourism.
A trip is definitely one of the most beautiful and constructive experiences to do in life. For us who love to travel every opportunity is good to leave our habits and set off to new places, new cultures and new people.
From our experience we have understood that it is essential to travel safely in order to live this life experience.
That's why Safe travel app will follow you in your every move and help you at any time
Our goal is to create a worldwide network of concierge, a physical person, not a virtual bot, that based on your location will be the nearest operator so you don't have time zone problems or away if you have your own need!
Built With
blockchain
c++
eos
firebase
java
objective-c
python
solidity
swift
Try it out
bitbucket.org | Safe travel | Safe travel | ['Massimiliano Pizzola', 'Daniela Tabascio'] | [] | ['blockchain', 'c++', 'eos', 'firebase', 'java', 'objective-c', 'python', 'solidity', 'swift'] | 48 |
9,949 | https://devpost.com/software/zenrpa | ZenRPA widget that brings internal admin actions into Zendesk to help agents quickly complete SOPs
ZenRPA widget is smart about what SOPs to bring into what tickets
SOPs on ZenRPA are designed for agent speed, giving them all info and actions necessary to complete SOPs with simple instructions and clicks
ZenRPA onboarding is simple
ZenRPA connection with Zendesk is a breeze
Setting up your internal Admin source is a breeze
Choose from any type of internal Admin sources we support
Connection details for an internal Admin source
ZenRPA configuration dashboard designed for the Ops manager
Ops managers can keep track of all their SOPs
Set up simple queries on your internal Admin source (the building blocks for an app)
Automatically capture the data signatures coming from your internal Admin
Design the app (which will show up in Zendesk for your agents) however you want using any data from your internal Admin
Inspiration
As product builders, we have collectively built internal tools for the customer support functions at 3 major unicorn companies over the past 7 years. These customer support teams were responsible for supporting over $1B annually in GMV. We shipped products internally that helped those teams save over $5M/year by reducing average handling time and scaling operations. So we intimately know there are powerful things that any customer support team can achieve with the right blend of technology.
Yet most customer support teams are left in the dust. They are given no engineering or product resources because "support" is by definition not the company's core product (we worked on many of these things as part of internal hackathons and on our own time). Additionally, we were advised by our leaders that "building things for customer support efficiency is bad for your product or engineering career."
We believe strongly that Ops leaders everywhere are underserved because of this.
What it does
Our product is a no-code app builder designed for an Ops leader to build support tools and integrations on their own. Our MVP allows you to connect your SOPs and Admin tools together in Zendesk, so your agents never leave Zendesk to resolve anything again.
We picked this MVP very specifically because at every enterprise we've ever worked at (3 major unicorn companies), the customer support department always had a custom Zendesk app built that internally connects their systems together to make solving specific SOPs efficient. Here's a publicly available
support training video
from Uber where you can see in the video their internally-built Zendesk widget (in the right sidebar) that supports their Zendesk agent flow. These integrations were built once by an engineering team and then never supported again. It's hard to believe, but we've worked at 3 other companies that did exactly the same thing internally. It's just something all support teams do when they start to scale.
So by doing this MVP, we are specifically NOT changing any support team behavior, but providing a way for these apps to be self-created, self-managed, and self-sufficient.
How we built it
We used the Zendesk Apps Framework to build an interface for support agents directly in their Zendesk environment. We then built a no-code configuration dashboard designed for an Ops leader. It walks the Ops leader step-by-step to deploy a new Zendesk app for an SOP and connect it with their company's internal Admin. Specifically, we:
Architected a re-usable framework for any support team SOP to be represented as JSON
Designed and built an intuitive frontend for any Ops leader to build a library of these SOP representations
Our Zendesk app loads the correct SOP for a ticket on the spot, on which agents see data from their Admin relevant to solving the ticket and one-click actions they can take
Challenges we ran into
We got feedback on our tool from a major food delivery company (we know decision-makers at every on-demand company from our previous work experiences), and actually had to re-architect some of our earlier assumptions when we saw their real live SOPs.
Accomplishments that we're proud of
We landed a proof-of-concept launch with the major food delivery company and are already installed on their Zendesk platform. We are gearing up for a POC period with one of their most complex SOPs (today a 15-20 step process for the agent!).
What we learned
From interviewing customers and showing them our app designs, we learned why they would pay for our solution. As soon as we learned, we published those value points to our temporary product landing page at
https://www.zenrpa.com
(in the "Built for the modern support team" section). We already knew that reducing Average Handling Time and not having to wait on engineering are two major benefits our approach provides, but we learned that Ops leaders also expect our tool to deliver:
Faster onboarding times for their agents
: they think ZenRPA can make new agents into experts on Day 1 by loading living SOPs dynamically onto tickets
The ability to secure their Internal Admin system
: they want to remove god-mode for their hundreds of support agents for security reasons, and see our tool as the path to doing that
Analytics
: they hire a lot of data analysts today that build post-facto reports on Ops efficiency, but they think the data from this tool's usage can help them remove the need for at least one analyst
What's next for ZenRPA
We're gearing up to run a POC with a potential enterprise customer and are focused on making that a success by July.
Built With
express.js
nextjs
postgresql
react
ruby
sinatra
zendesk
Try it out
www.zenrpa.com | ZenRPA | Custom Zendesk apps for your support agents in 5 minutes | ['Albert Ho', 'Tongbo Huang'] | ['DeveloperWeek Global 2020 Overall Winner'] | ['express.js', 'nextjs', 'postgresql', 'react', 'ruby', 'sinatra', 'zendesk'] | 0 |
9,949 | https://devpost.com/software/alerting-the-shop-owner-when-customers-count-increases | Nvidia Jetson Nano with 5v cooling fan and a USB webcam
Incidents history
Triggered incidents
Inspiration
After the lockdown measures eases, people are rushing towards restaurants and the wokers can't manage the highly fluctuating rush. The workers/manager should need to see the real-time count on a monitor to adijust the need along with alerting the manager to assign more workers. This helps in reducing the rush and gives a proper social distancing measure.
What it does
It will give real-time customer count which is on a monitor placed at the store/shop and alert the manager if the count exceed a limit. Uses Nvidia Jetson nano(100 usd SBC) Single Board computer and a webcam to pull this off
How we built it
Built it using Tensorflow, Computer vision, PagerDuty
Challenges we ran into
Integrating the model on Nvidia Jetson Nano was tough
Accomplishments that we're proud of
Made a working prototype
What we learned
Practical AI appliation
What's next for Alerting the shop owner when customers count increases
Integrating in the shop and use it in real-time
Built With
java
python
Try it out
github.com | Customer counting and alerting system using PagerDuty & DL | Using deep learning and computer vision count the number of people in a shop. Real-time monitoring of people and alert system using PagerDuty | ['Nandakishor M', 'anjali m'] | ['PagerDuty - Most Unique PagerDuty Use Case'] | ['java', 'python'] | 1 |
9,949 | https://devpost.com/software/github-portfolio-builder | Homepage
Example Portfolio
Inspiration
This came from a personal need. As a developer, I needed a better way to represent my own work, and wanted to help others do that as well.
What it does
It gives developers a more intuitive way to show off their GitHub projects.
How I built it
I used ReactJS to build this project.
Challenges I ran into
API request limiting during development
Accomplishments that I'm proud of
Getting a user's email without using authenticated requests requires some creativity.
What I learned
GitHub's APIs are super open and can provide a lot of data if used correctly.
What's next for GitHub Portfolio Builder
Adding additional customization options, and extending the personal information provided.
Built With
css3
html5
javascript
react
Try it out
tagfolio.imfast.io | GitHub Portfolio Builder | A platform to turn your GitHub projects into a filterable portfolio, so employers can easily view your most relevant work. | ['Mike Peterson'] | [] | ['css3', 'html5', 'javascript', 'react'] | 2 |
9,949 | https://devpost.com/software/fake-news-detection-and-mitigation-site-fakecheck | Built for Everyone, Contributed to By Anyone
Our Rating's Process
The User Experience
FakeCheck, Making the World More Informed
1. The Problem our Product Will Solve
As the world becomes more globalized, news and media polarizes the masses to greater depths with every major event, revolution, or social-impact movement. The grout among the bricks of the world's events is digital media - news articles, rapid-growth posts, videos. The problem is, with the incredible pace these media spread, nobody fact checks their authenticity, leaving many with the potential to spread harm or fear through misinformation.
The first step is to eliminate Fake News before it wreaks its havoc.
Issues with the Present Approaches:
A Lack of Fire Power: Current fake news detectors or ratings agencies make use of academic scholars with special expertise in their respective areas of study. This means that while you may get a deep analysis of a political piece of media, for example, you won't have this review done quickly, it won't appeal to the average person, and this method is limited by the physical hours fact-checkers can work.
Fact-Check Privilege: The fact is, most fact-checking sites are English-language based only. That means primarily U.S., Canada, and U.K. based, with support only for those English-speaking communities. People who suffer from the wrath of misinformation - whether it be false health advice, targeted propaganda, or plain frauds often do so in countries where English is not spoken, and so don't have the privilege of being able to check the validity of their own media as alerts, in real-time.
We have built FakeCheck to bring the globe world-class, alert-ready and honest fact-checking that is intuitive, and easy for everyone to understand, regardless of their background. We also paired our tech with business value in mind, with a value-multiplying insight platform for businesses to better understand their brand image, and perceived value to their customers around the world.
**
What is FakeCheck?
**
We built a crowd-sourced media fake-news detection platform that puts the user and their media first, while protecting anonymity to alert the world of fake news before it spreads and causes damage.
We make use of the value and well-thought technology provided by PagerDuty and IBM, as well as other great companies and the best tech to create a platform that is user-launched, and a true butler to its boss; the user!
Our Rating's Process:
And our user flow below:
How Does it Work?
Our process works as follows:
*1. Users have a piece of media they want to check a rating for, or rate itself for fake news.
They go to our site and intuitively paste their link into our engine, which is the most prominent feature on our home-page.
If prior crowd-sourced ratings exist, the user immediately sees our curated, and published ratings for that media, based on our users' input and proof.
We prompt the user, if they have the aptitude, to rate the media as well, as long as they have insight that may work in support of the media, or equally, against its truth-fullness, we respect their voice and let them share it. We process their queries, ideally making use of IBM Watson first, and build and internal score we wish to publish.
Once our confidence metrics are met, we update a newly published rating for the media and classify and link it to other similar cases for users to see. We constantly adapt, just like a real business has to, to make use of the effort and insight of the world's user-base to republish.
We alert any watchers, or users who gave ratings of new published updates by us, so they are constantly in the know, and can rely on being kept in the light instead of the dark, on the news, regardless of where they may come from.
We provide businesses with insight, based on alerts happening around the world related to fake news detection or negative sentiments and classified to their names from IBM Watson, ideally, to how their brand is recognized by users across the world, helping them improve and adapt.*
**
This Competition, The Challenges, and Our Impact:
Through this competition we wish to strive for both the 'DeveloperWeek Global 2020 Overall Winner' and 'PagerDuty - Most Unique PagerDuty Use Case', because we believe our platform will make use of an incredible software suite based on live alerts from PagerDuty to address a worldwide crisis of misinformation - the infodemic.
We have been inspired by the current influx of fake news we see everyday around the world to try and do something about it - the challenge comes from just how many people are misinformed and the speed at which it happens.
We want to win in these challenges because we want to grow - we hope to use the prizes to help grow this idea to fruition. Something that is so under-implemented among the tech and news society today, this concept has the potential to strike rapid growth in the ratings space for media, and help mitigate fake news' wrath altogether, by empowering the individual user to check their media easily.
Built With
django
graphql
python
react
typescript
Try it out
github.com | FakeCheck | A crowd-source driven platform to identify fake media | ['Jason A.', 'chandlerlei2017 .', 'Solomon Kent Paul', 'Jadon Fan'] | [] | ['django', 'graphql', 'python', 'react', 'typescript'] | 3 |
9,949 | https://devpost.com/software/fundit | Sign-in
Business Information
Highlights
Payment Processing
fundIt
A platform that democratizes access to capital for small businesses via crowdfunding
Inspiration
Startups founders don't have those connections or profits to get funding and especially in a year full of uncertainties many big investors are scared to invest in small businesses. And not all startups makes million dollars in their beginning years.
Meanwhile, most people are not as rich but want to invest. So we want to build a platform that benefits color businesses (because majority of them are quite small) and Investors both. Startups put their video pitches to help make investor a decision on the startup and investor can make an appointment with the business to know about their future goals before investing.
What it does
fundIt is a an app for small businesses to get crowdfunding by retail investors for equity.
Users can login and authenticate their credentials via Apple/Google/Email
Startups can post data such as PDFs, Images, and Text to supplement their crowdfunding campaign and help investors to make investment decisions
Investors can browse all campaigns via a Tab view
The most unique feature of this platform is the highlighted businesses of the month. Underrepresentation and discrimination is a huge problem in business investments so we want to represent those businesses by having a separate page for them.
Investors can schedule a virtual meeting with the representative of startup that will help investor know about the future plans of the business
Investors can pay as little as $10 for a share in the startup’s equity offered in the crowdfunding campaign
Investors can view their past investments & their total investments on a profile view
Startups can checkout the funds raised from the crowdsourced campaign via Apple/Google Pay to Apple/Google Wallets in a virtual FundIt card
How I built it
Flutter: Dynamic Mobile Applications that runs both on Android and iOS.
Firebase: For authentication
Square: Payment Processing
SQL: For storing the Business and Investor Information
UiPath: For automating the process for investors displaying startups according to their search history
Potential Users
Retail investors - who will be investing in the companies that are listed on our platform
Startups - they sign up for crowdfunding in exchange for equity.
Challenges I ran into
Payment Processing using Square
Automation with UiPath
Making dynamic user interface for startup took some time to apprehend
Accomplishments that I'm proud of
Able to build a working platform with a great team work in such a short time.
What we learned
Learned how to divide tasks as a team and be accountable for it, setting report time
How to do payment processing
What's next for fundIt
We are planning to reach small businesses and small investors who could benefit from each other. Small businesses by getting money and small investors by getting returns on their investment with as little as 10 dollars.
Built With
dart
firebase
sql
square | fundIt | A platform that democratizes access to capital for small businesses via crowdfunding | ['Sulbha Aggarwal', 'Rishav Raj Jain'] | ['The Best Business Idea'] | ['dart', 'firebase', 'sql', 'square'] | 4 |
9,949 | https://devpost.com/software/helping-hands-6f5h3b | Sign In page
Feed Page
Volunteer button
Ask for Help
Ask for help submitted
My Tasks
My Posts
Update Profile
Registration
Reset Password
Inspiration
The whole world is going through a tough phase during this
COVID pandemic
. People are suffering due to the loss of their jobs, not being able to perform their daily activities, and some due to depression.
Inspiration comes in many ways. Our motivation for this project is that we want to contribute something to this society.
I know a lot of young minds who want to help people in their community but could not do it due to social distancing measures.
So we bring forward our website where people from within a county/state can post their requirements and any willing volunteer can take up the task to help needy.
What it does
Helping Hands
website allows anyone to register through the website and post their requirements.
For example, I am an immunocompromised person, and going out to buy groceries puts me in danger of contracting the disease. So instead I will seek help through the Helping Hands website and post my requirement there.
Myra from our community is a young college girl who wants to help people in her society. When she logins into our website, she sees the feed where all the tasks from her county are posted. She sees that someone needs help in buying groceries which she is able to do. So will take up those tasks which gets added to her tasks tab.
Now she can communicate with the person who posted the task and help her.
How we built it
We built a website using React as front end, Flask as backend, and Postgresql as our database.
Challenges we ran into
This is the first time to build a full-stack project and we were completely unaware of React frontend and how to establish connections from front end to backend and build a whole project. So learning in a short span of time and building a whole project was a challenge.
Accomplishments that we're proud of
We were able to complete MVP with the necessary features within the deadline.
What we learned
Along with the new technologies that we worked with, we learned that doing a project that we really care about is the driving force to complete a task.
What's next for Helping Hands
There's a lot more features that we are planning to add in the next versions of the project.
Features at present
Feed tab where all the posts can be seen.
Ask for the help tab where anyone can post their requirements within a deadline.
My tasks tab where the tasks you have chosen to volunteer are visible.
Sign in, Sign up, Signout, Reset password, Update profile features.
Features for next release:
Add messaging feature to our website where volunteer can directly chat with the person who posted the task.
Add Volunteer rating features where people can thank the volunteer for their help.
This will encourage volunteers in helping more and gain recognition in their community for their good work.
Complain or blocking members to keep creeps out of our website.
Provide badges for volunteers if they reach certain number of tasks.
Built With
flask
javascript
materialui
postgresql
python
react
sqlalchemy
Try it out
github.com | Helping Hands | Community togetherness made possible through our website during COVID. | ['Kiranmayee Dobbali', 'bhanu preeti'] | [] | ['flask', 'javascript', 'materialui', 'postgresql', 'python', 'react', 'sqlalchemy'] | 5 |
9,949 | https://devpost.com/software/steril-laser | Title
Inspiration
PPE supply shortages are a worldwide problem, and solving this problem is key to finding this and future medical emergencies like pandemics. Also wastage of PPE like gloves, masks and overalls is a huge unmitigated problem. We wanted to take an innovative approach to solving the shortage crisis and create a user accessible product that can sterilize PPE through UV disinfection methods.
What it does
Our Product allows the reuse of PPE by sterilization using UVC. UVC is known to eliminate a majority of pathogens including the coronavirus family of viruses. Surgical instruments are sterilized with UVC. Our system hardware consists of a self built sterilization chamber which utilizes UVC lamps to sterilize PPE. This can also be used to sterilize other objects, and is programmable with various durations and intensities. The mobile application side of our product provides a simplistic way to use the chamber. Users can simply make commands and execute them to sterilize or simply enter a time and start the sterilization process.
How I built it
App: The frontend was made entirely from Flutter. We communicated between the front end and the backends through http post and get requests, which gave commands to the product so it could start sterilizing. I stored the user’s commands in Firebase because it was easier to configure firebase for simple information storing.
Hardware: Sterilization chamber built from cardboard box with 2 UVC lamps daisy linked together. Powered by a WIfi enabled smart switch. The switch is controlled by invoking a python function on the local network, running on an NGROK tunnel with flask. The various settings are stored in a MongoDB database and the status of this device is also stored as a document, these are updated/used when the controller functions are invoked. Remote invocation by app is possible by use of serverless functions running on google cloud.
UVC lamp specifications: 8W x2
Wavelength : 265 - 275 nm
Power input: 110V
Challenges I ran into
Integrating all the components together
Wiring the hardware without shorting anything
Programming the smart wifi plug
Coming up with a simple and clean UI
Connecting the frontend and Backend via http requests.
Accomplishments that I'm proud of
The hardware all works, as well as the app. We are proud to produce a working prototype, we merely need to upgrade the hardware and clean up the UI, as well as optimize everything.
What I learned
We learned that it is hard to program a Google Home and connect it to a mobile app via Flutter. We also learned that UI is not as easy as it looks: you have to come up with a simple and direct looking interface that communicated each Widgets purpose perfectly to provide a gerat user experience.
What's next for Steril-Laser
A more robust version
Lockable chamber
Personal units deployed in public spaces, like lockers at school
Compress Hardware
Built With
firebase
flutter
postman
uvc
Try it out
github.com | Steril-Laser | Solving the PPE crisis with UVC, one mask at a time | ['James Han', 'Muntaser Syed'] | [] | ['firebase', 'flutter', 'postman', 'uvc'] | 6 |
9,949 | https://devpost.com/software/airdusk-gxshfo | .
Built With
bootstrap
css3
framer
html5
javascript
mongodb
pagerduty
php
react | / | / | ['Praveen Kumar'] | [] | ['bootstrap', 'css3', 'framer', 'html5', 'javascript', 'mongodb', 'pagerduty', 'php', 'react'] | 7 |
9,949 | https://devpost.com/software/labpager | Inspiration
What it does
LabPager is an integration of PagerDuty with LabAlert, a laboratory monitoring system.
Customizable dashboards from PagerDuty and LabAlert are integrated to allow incident alerts and status notifications pertaining to lab processes such as temperature, humidity, and carbon dioxide deviation.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for LabPager
Try it out
bitbucket.org | LabPager | LabPager is an integration of PagerDuty with LabAlert, a laboratory monitoring system. | ['Warp Smith'] | [] | [] | 8 |
9,949 | https://devpost.com/software/ample | Ample_logo
Features
Splash Screen
Explore
Details
Foods
Thank You
Inspiration
The COVID-19 makes social distancing important. We want to make an app to help people with keeping distancing from each other and avoid crowded places.
What it does
It would give real-time data on how many people are there in a certain place or some business type, for example restaurants, hospitals and supermarkets. It will categorise all the business in three categories based on the number of people present. Green (safe to go): less than 20% crowded; yellow (okay to go): less than 50% crowded; red (be safe): more than 50% crowded.
How I built it
As for design, we built it with Figma. To implement the design, we built it with Android Studio and Google Map APIs.
Challenges I ran into
Showing the data with the help of Google Map API.
Accomplishments that I'm proud of
Get involved in a real application design and implementation cycle which will help people.
What I learned
The concept building for a mobile application.
How to work on Android framework.
What's next for Ample
To work out how to show the real-time data on integrated Google Map.
To add more features to enable business owner update the data for their stores.
Built With
android-studio
figma
java
Try it out
github.com | Ample | The application should display the real-time population data for different places of different business types, so that people can avoid going to crowded places. | ['Prerna Bhardwaj', 'Chen Wei'] | [] | ['android-studio', 'figma', 'java'] | 9 |
9,949 | https://devpost.com/software/event-registration-system-6w03ga | Home Page
Registration Form Before Filling
Registration Form
Preview after Registration
Statistics After admin Login
Admin Login (Id - [email protected] , Password - pass)
Registered Participant Table , Click on ID to see more details like below image
Individual Registration Details after clicking on Registration ID on above image
About Us page
Inspiration - to built a hassle free and fully functioning event registration system
What it does - We've built a system where registrations details can be previewed before submitting , Also admin can login to view the statistics through charts and also view the individual registration details easily.
How I built it - Using HTML , CSS , JavaScript , Servlets, Bootstrap 4 , MySQL
Challenges I ran into - to display preview box .
Accomplishments that I'm proud of - Statistics are easily displayed using charts and table with link to individual details
What I learned - Creating dynamically updating web app , displaying real time details on charts.
What's next for Event Registration System - to generate tickets for particular events , Email and phone notification as soon as person registers and also for event updates.
We have started our work on email and phone notification.
Screen of Statistics and Tables which admin can view are attached.
Built With
bootstrap
css
html5
javascript
mysql
servlets
Try it out
github.com | Event Registration System | We've built a web app for Hassel free registration system .Here admin can login to view the statistics through charts & also view the individual registration details easily. | ['TAPAN MEHTA', 'Vishal Parandwal'] | [] | ['bootstrap', 'css', 'html5', 'javascript', 'mysql', 'servlets'] | 10 |
9,949 | https://devpost.com/software/ethelon | Inspiration:
During this pandemic, we need more volunteers and helpers to help the people in need. Resource sharing will help volunteers to become a part of an organization while helping each other. We spoke to a diverse group of volunteers, we realized that they enjoyed volunteering but these food banks do not have a well organized app. Proper interaction is required within the group. Communication is the key, to be able learn about someone's need. Therefore we created this App to establish better interaction and easy access to events for both volunteers and the food organizations.
What it does:
This app is build to have a combined advantage of task management with a calendar view of events and the ability to communicate within the group. The organizers can add events and tasks that needs to be done within a time frame. Volunteers are expected to pickup the tasks and complete them. For any questions they can directly message anyone in the team. We take special care to extend the ability to the organizer to announce the instructions during COVID-19, the PPE that will be provided and what the volunteers need to bring along with them. The main intend is to have an organized space to track all the events/tasks and achieve individual or collective team goals.
Process:
We started gathering data from online interviews from volunteers and organizations. Once we found out the common challenges they face everyday, we prepped a Miro board to visualize our ideas. Then we moved on to start the design process with Figma. We had 3 main flows which included an event calendar, ability to add tasks and a profile based view. After multiple iterations, we used React Native in front end to develop the UI.
Challenges:
We did not know what challenges volunteers faced when joining an organization. Due to the pandemic, it was not possible to physically go to organizations, so we had to take online interviews. Once we started discussing the flow, the most difficult part was to make the process of adding events easy for the organizations. How it should be viewed from profiles and how would we encourage people to be safe. Later on, working on React-Native was a new experience and after a team effort we pulled through.
Accomplishments that we're proud of:
We are very happy to be able to design that will help members from non-profit organizations to communicate, view and assign tasks to one another depending on their respective roles.
What I learned:
Our team has learned a lot throughout the development of this App! For example, after several users interviews from non-profit organizations, we’ve noticed a trend in how many of them lack the tools needed to stay connected with one another. And as a result, we were able to design and develop an app that we believed would help many of them to communicate with one another through task assignment and event viewing.
Accomplishments that I'm proud of
What's next for Ethelon:
Moving forward, we hope to implement a messaging function for our members so that they can stay connected within the app and all the information would be available for them to view in just one place.
Built With
figma
firebase
react
react-native
Try it out
github.com | Ethelon | An Android app to help volunteers and organizers stay organize through task management and event viewing | ['Phiyen Vu', 'Antonio Mendieta', 'Yun Seob Lee', 'Jayeeta Bhattacharya', 'Shangyang Chen'] | [] | ['figma', 'firebase', 'react', 'react-native'] | 11 |
9,949 | https://devpost.com/software/socialdistancer | Social Distancer
This app keeps people 6 feet away
This simple but useful App uses your iPhone’s camera to alert you when someone is within your six-foot safety zone.
Click on the App and your front camera opens as you point it at anyone nearby. If someone is within 6 feet, the box around the person turns red. If the person is more than 6 feet away (approximately 2 meters), the the box around the person turns green.
How to use
Hold phone horizontally while directed at people. If the box around a person is green, they are beyond 6 feet from you. If the box around a person is red, they are within 6 feet of you.
If there is no box when the camera is pointed at a person, than the camera does not see the person clear enough.
Works best when the target person is standing.
How Does it Work?
Social Distancer was created in Xcode and Android studio using Swift and Java. They both use the YOLO Object detection model to track people. When the camera sees a person, the app estimates the distance of the person based off of the size of the person in pixels.
Releases
Apple version can be demoed here:
https://ariwasch.applivery.io/social-distancer
Android version can be demoed here:
https://play.google.com/store/apps/details?id=org.microincorporated.socialdistancer
NOTE
Social Distancer was taken down from the app store after Apple introduced new policies to prevent the spread of false information of Covid-19. That means no social distancing or Covid-19 related apps are allowed to be published by individuals. If anyone who is reading this is part of a recognized institution (hospital, government agency, university) and would be willing to publish it, the developers of both the Apple and Android version would be willing to do so.
Additionally, we are willing to donate a majority of the ad revenue to Covid-19 relief efforts once both apps are published.
Contact us
For more information, email
[email protected]
or
[email protected]
Prerequisites
You need an Android device and Android development environment with minimum API 21.
Android Studio 3.2 or later.
Built With
java
Try it out
github.com
play.google.com
microsyncinc.github.io
ariwasch.applivery.io
github.com | Social Distancer | This simple but useful App uses your phone’s camera to alert you when someone is within your six-foot safety zone. | ['Lincoln Doney', 'Ari Wasch'] | ['The Wolfram Award', 'First Place - Covid Track'] | ['java'] | 12 |
9,949 | https://devpost.com/software/needy-delivery | Needy Delivery Logo
Restaurant Interface
App Administration Interface
Design from the Android Studio
Needy Delivery Main Class
Inspiration
Cecilia and Antonio were donating food to people in Berkeley when we came across an encampment. We met with someone that protecting an encampment and they said that there was a pizza place that occasionally delivered some extra food to the encampment. That's when the idea came up to have a food delivery app for restaurants to safely deliver food to designated areas.
What it does
What it currently does is that people order food from a restaurant and the driver delivers it to the to
How I built it
Cecilia was in charge of the design. She created mood boards, followed the limitations that the developer had, and created the logo.
I (Antonio) had to build the web server to hold the information for restaurants, drivers, and "customers". I used django for the administration control. I also coded the xml and the Java Code for the Drivers and Customers.
Challenges I ran into
Dependencies and versions. There were a lot of times that I tried to use the latest version of something (like Django or Picasso), but I kept getting errors.
Accomplishments that I'm proud of
I (Antonio) am proud to have been able to get a server running using Python and that the data shows up for restaurants and and drivers, and that the Google Maps fragments are working.
What I learned
I learned about fragments, dependencies, and methods in Android. I also learned that you must use the correct versions of dependencies, files, and methods in order to get things to work.
What's next for Needy Delivery
Needy Delivery will be published on the Google Play store by the end of the month.
Built With
android
django
python
Try it out
github.com | Needy Delivery | It is a delivery app meant that is meant to deliver food from restaurants to people that need it in safe areas. | ['Antonio Mendieta', 'Cecilia Sarate', 'Cecilia Sarate'] | [] | ['android', 'django', 'python'] | 13 |
9,949 | https://devpost.com/software/immunolynk | Cover
Cloud Infrastructure
Healthcare Administrator Interface - Dashboard View
Healthcare Administrator Interface - Employee Tracking View
Mobile Application - Sign Up Page
Mobile Application - Risk Assessment Questionnaire
Mobile Application - Symptom Survey
Mobile Application - Test Scanning Screen
Mobile Application - Calculation Splash Screen
Mobile Application - Sample "True Immunity" Score Screen
About
Antibody tests are the key -- but only with intelligent guidance.
Rapid antibody tests have the potential to
empower frontline healthcare workers
. With a simple finger-prick, they have the power to
identify immunity in just 15 minutes
. And combined with wide-scale deployment, they have the ability to deliver
crucial insights
to hospitals and governments in the battle against the pandemic.
But without the proper tools, this potential will remain untapped. We must overcome three key barriers to harness the power of immunity testing:
Uncertainty
- Hospitals must be strategic in their test deployment. Timing is critical -- if the test is performed too soon after exposure to the virus,
the results can be completely inaccurate
. And even with perfect timing, lateral flow immunoassays have a PPV of as low as 55%— a dangerous shortcoming if not augmented with data on individual exposure risk.
Disorganisation
- Health care workers will need to be retested at regular intervals. This is
essential to combat the scientific uncertainty surrounding sustained immunity
and the variable accuracy of current tests. An easy-to-implement, easy-to-use, and interoperable platform is vital for tracking this unprecedented volume of immunity tests.
Privacy Concerns
- Healthcare workers need to feel confident that their data is secure. Immunity results must not only be FDA and HIPAA-compliant, but stored by an entity that users can trust won’t use it for the wrong reasons — now and forever.
Introducing ImmunoLynk
Effortless + Trustless = Fearless.
Healthcare workers use our mobile app to take a photo of their immunity test results. Our image classification algorithm, built on Keras over a ResNet50 model, automatically reads the test result as accurately as a physician, removing any possible user interference. The corresponding photo, test result and metadata are stored securely on a corresponding IPFS Blockchain node, guaranteeing the test validity and immutability.
The virus can adapt—so can we.
Healthcare workers fill out a brief, but thorough, questionnaire about their potential exposure risk factors. Combined with daily symptom surveys and hyper-local prevalence data, our proprietary machine-learning algorithm determines the ideal time to administer an antibody test. The result is fed into a Bayesian regression model, resulting in a single, easy-to-understand “True Immunity” score. This multimodal data integration overcomes the inherent sensitivity and specificity limitations of immunoassays, creating a tailored diagnostic test capable of accurately conveying the amount of uncertainty. Best of all, all logs are immutable, distributed, and instantaneous — so healthcare workers can worry less about the privacy of our data, and more about conquering the crisis.
We scale with the pandemic.
As our network of healthcare workers and the number of completed antibody tests grow, so does the strength of our algorithms. Our blockchain operating expenses cap at the ultra-low-cost of $25/month per healthcare facility, regardless of the number of employees or tests. IPFS nodes can be deployed and run completely on cloud elastic containers, presenting no additional data transfer, data storage, or uptime cost fees. Every machine learning evaluation is processed through an optimized gateway server so requests are readily processed and delivered to the Blockchain.
Connecting the world so we can reconnect.
Widespread adoption of the ImmunoLynk platform can effectively construct a distributed worldwide research network, creating the largest-ever study on the time-course of COVID-19 and its respective antibodies. This could provide the key data necessary to intelligently lift quarantine restrictions alongside community immunity testing, as well as prepare for future pandemics.
Caring for healthcare.
Priority allocation of immunity tests to healthcare workers aligns with European Centre for Disease Prevention and Control (ECDC) and Centers for Disease Control (CDC) recommendations, and with ImmunoLynk's help, it can put health providers' minds at ease. They can care for patients, perform procedures, and return home to their loved ones with less worry about contracting or communicating the virus. Our U.S. Equal Employment Opportunity Commission (EEOC) and American Disabilities Act (ADA)-compliant dashboard software for administrators also permits easy-to-implement tracking of employee symptoms and immunity tests, allowing them to strategically tackle staffing shortages in the wake of looming surges.
What we have done over the past few weeks
By integrating two initially discrete teams based around the globe and collaborating across diverse areas of expertise, we developed a feasible solution for the problems presented above in the context of a realistic business plan. These teams initially connected as participants in the
MIT COVID-19 Hackathon
, where one was announced a
winner of the challenge
. This joint team was subsequently named the
first prize winner
in the
Lumiata COVID-19 Global AI Hackathon
.
So far, we have created a working prototype of (1) a mobile app dashboard connected to a gateway server that (2) leverages machine learning to (3) combine questionnaire answers, location data and antibody test results to provide users with a "True Immunity" score registered to IPFS Blockchain.
(1) - The mobile app uses Expo.io API with React components to interact with users. It consists of a login and registration page, a symptom and risk questionnaire, and finally a test scanning section. This
interface is currently functional
. It takes a photo of the test placed on a QR barcode, sends it to a Gateway server, and displays the processed test result with an access link to the blockchain data.
(2) - The gateway server was built using the
lightweight Flask framework
with an exposed REST API, which receives both images and data from two distinct endpoints. Images are then submitted through the Keras model and, ultimately, uploaded along with the result and metadata to the
IPFS Blockchain node through Infura's API
.
(3) - Our image processing pipeline was built with Tensorflow, Keras and OpenCV2 on the ResNet-50 architectural network. It was extensively optimized to achieve an
accuracy rate of 91.8% for reading & recognizing the test result (a rate either very near to or better than the human baseline)
for feeding forward to the Bayesian Hierarchical Model.
We have also partnered with healthcare providers to gain access to anonymized symptom and exposure risk questionnaire data linked to antibody test results. This allows us to now predict infection with some degree of certainty purely from questionnaire data.
Our solution’s impact on the crisis
Accelerates the antibody testing process.
The manufacturing capacity of inexpensive and accurate lateral flow immunoassays is increasing exponentially, shifting the bottleneck from test availability to test administration rate. ImmunoLynk enables decentralized testing, alleviating the burden on hospital departments and research facilities. Our effortless data collection platform is woven into a privacy-focused decentralized storage solution, the nature of which was
recently promoted by hundreds of scientists
and
endorsed by Apple and Google
. This data is impossible to alter, hack, or forge by any bad actors.
Helps answer the question: Do antibodies provide immunity?
Studies of the effects of direct exposure of people who have previously caught COVID-19
are being planned
, but are fraught with ethical concerns and high associated costs. By collecting data on healthcare workers, one of the highest risk populations, ImmunoLynk can assess whether there is a substantial reinfection rate and if higher levels of antibodies can reduce that rate. This is a key question that needs to be addressed prior to the implementation of any wide-scale immunity-based solutions.
Inform the immunity passport debate and provide solutions.
As we assess the protective effect of antibodies against reinfection, we can provide much-needed information on whether immunity passports would have a significant societal benefit. Our decentralized storage of information would also make passport data safe and immutable.
The value of our solution after the crisis
Our systemized data from tracking antibody levels & predicting the level of immunity will remain important for possible
future waves of COVID-19 over the coming months to years
. It will also help to determine if antibody count actually confers immunity and, if so, to what extent. Even as large scale vaccinations are rolled out, our solution could easily be deployed for individuals to assess their immune response.
ImmunoLynk is just as applicable to other pandemics
for which lateral flow immunoassays are widely used, such as malaria, hepatitis, and dengue. ImmunoLynk can also help
aid diagnosis of an active illness
if adapted to use antigen immunoassays. Both could even be incorporated into a single test.
At the US level, our use of decentralized technology is in line with the nature of the
The Cures Act
, which "aims to empower Americans with their health data, delivered conveniently to computers, cell phones, and mobile applications". We are actively pursuing integration with the standardized API denoted in The Cures Act. Moreover, it allows a platform for managers to silo their employee's healthcare information,
a requirement of the ADA
. This easy-to-deploy management of healthcare information is
massively scalable to outside industries
, such as nursing homes, factories, travel & hospitality, and so much more.
At the EU level, our use of decentralized technology will be instrumental in advancing the
EU’s health data sharing initiative.
The European Commission has previously recommended that, in order to make further progress in interoperability, developments in digital technologies such as artificial intelligence, high-performance computing, decentralized technologies, and cybersecurity solutions should be carried out, noting that it would
increase trust and general feelings of accountability in government
.
Globally, our approach of tapping into a constant stream of data will
greatly benefit research specifically linked to antibody testing (e.g. virology) and, more generally, immunity.
Considering healthcare workers experience the most regular exposure to COVID-19, they are arguably the best individuals for identifying correlations & trends in the study of immunity. Epidemiologists could also use our data for pandemic modeling (SIR & SEIR), allowing
better preparation for future pandemics
. Lastly, it could
propel future healthcare adoption of blockchain technology
— possibly dispelling the popular notion that it is only useful in cryptocurrency, financial technology, & supply chain management.
What's next?
We need more images of lateral flow immunoassays
to improve the accuracy of our image classification algorithm. We already have thousands of images of lateral flow immunoassays, but more images of positive results and of assays from different manufacturers will help to ensure maximum reliability of our ResNet-50-based CNN classifier.
We need more questionnaire answers
linked to immunity test results to improve our prediction algorithm. We are in discussions with UC Berkeley (The University of California, Berkeley) and UCSF (The University of California, San Francisco) to utilize our platform in their large scale studies to further improve our prediction algorithm. We have also been collaborating with
COV-CLEAR
for the integration of our platform into their clinical trials in the UK.
We need introductions to hospital administrators and government officials
. Our market research demonstrates considerable widespread interest in a platform like ours that streamlines and improves the testing process; we just need the opportunity to prove that our system works and iron out any minor problems. We are currently working with Lumiata to introduce our platform to one of their healthcare partners.
Built With
amazon-web-services
blockchain
expo.io
flask
infura
ipfs
javascript
keras
opencv
python
react
react-native
resnet
tensorflow
Try it out
immunolynk.com
github.com
github.com
github.com
github.com
immunolynk.herokuapp.com | ImmunoLynk | Immunity testing meets AI + Blockchain. | ['Anurag Koyyada', 'Veeresh Shringari', 'Niamh Higgins | ImmunoLynk', 'Kaue Cano', 'Ruan Comelli', 'Matheus Tosta', 'Dmytro Ustianenko, PhD', 'Khush Tawar', 'Shivam Vedak', 'Excellence Ilesanmi', 'Tai Wu', 'Claudio Vilas Boas', 'Claire Louise Donnat', 'Frederick De St Pierre Bunbury'] | ['2nd place', 'First Prize, $10,000 and idea productionalized', 'Global SOS Finalist - Everything Remote Track'] | ['amazon-web-services', 'blockchain', 'expo.io', 'flask', 'infura', 'ipfs', 'javascript', 'keras', 'opencv', 'python', 'react', 'react-native', 'resnet', 'tensorflow'] | 14 |
9,949 | https://devpost.com/software/covidhealth-covid19-identification-using-machine-learning | Common Symptoms Analysis
AUC Analysis
Correlation Matrix
Inspiration
As the number of cases is rising, the test capacity in an area is also at a high rate. So, to give preference to certain people for conducting the test, I have thought of designing an ML model that will predict the probability of a person whether he/she is infected or not.
What it does
The Machine Learning Model takes various parameters such as Age, Gender, and the list of common symptoms for COVID19 to predict whether a person is infected or not.
How I built it
sklearn library
Visualized the problem statement with Jupyter Notebook
Programming Language: Python
Challenges I ran into
Gathering the dataset,
Choosing the appropriate model.
What's next for CovidHealth - COVID19 Identification using Machine Learning
Integrating the concept with the frontend web so that normal people can access this and check their score.
Built With
python
sklearn
Try it out
github.com | CovidHealth - COVID19 Identification using Machine Learning | Machine Learning model for Probabilistic analysis of a person if he/she is infected or not considering the symptoms. | ['Sumit Banik'] | [] | ['python', 'sklearn'] | 15 |
9,949 | https://devpost.com/software/kayil-xvn93s | Amazle Homepage
Farmer's account sign up
Inspiration
I grew up in a farming community and family. I have observed two major problems faced by especially small-scale farmers in my locality - the problem of food waste due to post-harvest loss and the activities of middlemen who daily ripped off farmers leading to higher food prices. These have largely contributed to the problem of hunger and poverty in my locality. And this is usually the situation in most societies in developing countries.
Presently, these problems have been made worse due to the movement restriction put in place by the Government to fight the COVID-19 pandemic. And this means that farmers are no longer able to sell their farm produce in open markets and as such, most of these produce go to waste and food is not readily available to the people. Presently, in Nigeria as well as most developing nations, hunger poses more threat to livelihood than COVID-19.
These problems are what motivated us to develop Amazle.
What it does
We will provide both online and offline supports to enable the delivery of farm produce from the farmers to the consumers in any part of the country.
In developing the solution to the above problems, we considered three (3) questions:
i. How can we enhance the productivity of our farmers?
ii. How can we help our farmers sell their produce amidst the COVID-19 challenge and beyond?
iii. How can we get these products delivered to homes in safe and wholesome condition thereby promoting the stay-at-home directive and social distancing?
So, our solution seeks to address these questions thereby achieving our cardinal objectives of reducing food waste and loss, alleviating hunger, and poverty.
How can we enhance the productivity of our farmers?
We will take advantage of artificial intelligence to equip farmers with tools to predict weather conditions. With our tool, farmers will be informed and know when to expect rain, drought, etc. Also, farmers will be able to manage their farm records on Amazle. The farmer will also receive information on good farming practices. Our users will be able to access our services on smartphone applications, and social media including Facebook, Instagram, Twitter, and WhatsApp. More importantly, the service will also be accessed on the USSD platform to provide for the farmer that may not own a smartphone.
How can we help our farmers sell their produce amidst the COVID-19 challenge and beyond?
Farmers will be able to post pictures and prices of their farm produce on Amazle and can sell to buyers in any part of the country. Orders can also be made over the phone especially for those without internet-enabled phones and through our Social Media accounts.
How can we get these products delivered to homes in safe and good condition thereby promoting the stay-at-home directive and social distancing?
Amazle in partnership with Logistics companies such as GIGs, EPS logistics, will transport the farmers' produce more efficiently.
In conclusion, these activities will help reduce post-harvest loss and food waste and farmers will earn more revenue for their efforts, translating to lower food prices for millions of people. Farmers will be able to sell their produce, and food delivered to homes regardless of the lockdown, hence, promoting the stay-at-home directive and social distancing.
How I built it
For the frontend(UI) reactJS was used and Node.js for the backend. MongoDB/Mongoose for Database
Challenges I ran into
Integrating the payment platform.
Designing mobile view
Accomplishments that I'm proud of
Building the application from scratch is progress to be commended.
What I learned
Strengthening skills on API calls and adequately making use of the database is knowledge not to part with
What's next for Amazle
We will be implementing the solution in phases. For the next 2 to 4 months, we will focus on the development of the application to meet the desired aim, as well as creating strategic partnerships. Also, we will register the brand with the Corporate Affairs Commission of Nigeria, and obtain copyright and legal protection from the relevant agencies. We will also rent a temporary location from where we will be doing business. The prize money, if we eventually emerge Winners of the Reinvent Hacks will serve as seed funding to achieve this.
The pilot will begin in October 2020.
Built With
javascript
mongodb
node.js
react
Try it out
github.com | AMAZLE - Connecting Farmers to markets. | We are developing a platform that will provide both online and offline support to enable the delivery of farm produce from farmers to consumers in any part of the country. | ['Dashe Gwotyet', 'Lihin Ogana', 'Caleb Ude', 'Aiah Henry Mondeh'] | ['Second Place'] | ['javascript', 'mongodb', 'node.js', 'react'] | 16 |
9,949 | https://devpost.com/software/thermal-imaging-system-for-detecting-people-with-fever | Thermal imaging system for detecting people with fever
Inspiration
Thermal imaging system for detecting people with fever
What it does
IDENTIFICATION OF DISEASES
How we built it
IDENTIFICATION OF INFORMATION BY COMPARISON OF STRUCTURED MASSIVES
Challenges we ran into
Rapid remote identification of diseases, collection, processing and analysis of information to ensure timely provision of emergency medical care
Accomplishments that we're proud of
certificate of authorship UA № 91811
What we learned
Patent applications UA а 201908606, u 201908607 Method for analyzing and identifying information
What's next for Thermal imaging system for detecting people with fever
Thermal imaging system for detecting people with fever
Built With
c#
matlab
python
ruby
tensorflow
Try it out
defin.zzz.com.ua | Thermal imaging system for detecting people with fever | Thermal imaging system for detecting people with increased flow temperature | ['Nick Dubovikov'] | [] | ['c#', 'matlab', 'python', 'ruby', 'tensorflow'] | 17 |
9,949 | https://devpost.com/software/operational-remote-identification-of-diseases-covid-19-tfwpqg | Biohazard COVID-19
Decision - enter data: foto, temperature, pressure and etc.
Inspiration
OPERATIONAL REMOTE IDENTIFICATION OF DISEASES
What it does
OPERATIONAL REMOTE IDENTIFICATION OF DISEASES (COVID – 19)
How we built it
IDENTIFICATION OF INFORMATION BY COMPARISON OF STRUCTURED MASSIVES
Challenges we ran into
Rapid remote identification of diseases, collection, processing and analysis of information to ensure timely provision of emergency medical care
Accomplishments that we're proud of
certificate of authorship UA № 91811
What we learned
Patent applications UA а 201908606, u 201908607 Method for analyzing and identifying information
What's next for
Online remote identification of people with fever (COVID – 19)
ANALYSIS AND FORECAST OF THE MARKET
Built With
api
c#
mathlab
python
tensorflow
Try it out
defin.zzz.com.ua | OPERATIONAL REMOTE IDENTIFICATION OF DISEASES (COVID – 19) | OPERATIONAL REMOTE IDENTIFICATION OF DISEASES | ['Kamel Pawelsky', 'Nick Dubovikov'] | [] | ['api', 'c#', 'mathlab', 'python', 'tensorflow'] | 18 |
9,949 | https://devpost.com/software/remo-app | Logo
Main screen with the location of government services
List of government services with reviews
Services list for the selected organization
Leave a review via emotion and voice
Example of using QR code scanner
Inspiration
What is the easiest way to receive the review of something? - Yes, it is emotion on a person's face!!
When we come to the government organizations, we are not always satisfied with the work of civil servants, or, conversely, we are very satisfied. Therefore, we decided to develop a REmo app, which will be a very easy system to leave independent reviews on various government services. Also, this idea can be used in other areas such as hotels&restaurants business, delivery, taxi, etc.
What it does
REmo it is an IOS application for leaving reviews via emotions on the face and via voice, search government services, find their location on map, view, and leave reviews for it.
How we built it
We used an Affectiva iOS SDK to get values of emotional state taken from the face, and BeyoundVerbal API to get values of emotional state based on voice. Based on that numbers we calculated the rating of each government office's service. We used the following tech stack:
Affectiva
BeyoundVerbal
Swift, UIKit
Challenges we ran into
In a short time, we created the idea, application flow, and create the application with functionality. Also, we learned these technologies for the first time, so we faced difficulties in learning and using Affectiva and BeyondVerbal.It was a challenge for us!
Accomplishments that we're proud of
We're proud of having a demo application with good design, functionality logic, and working functions.
What we learned
We learned to work in a team, hear each other, and how to use Affective and Beyond Verbal technologies. Also, we gained new skills in the Swift programming language.
What's next for REmo app
Integration with government offices, develop new features, such as the ability to view feedback from other users and communicate with them.
And of course, the plan is to find funding and promote our app.
Ideas for using PagerDuty
Users of our app can report an unsatisfactory service in the government service, so government officials will be able to take immediate actions to improve service.
Built With
affectiva
beyondverbal
ios
iphone-sdk
swift | REmo app | System for independent evaluating public services based on emotions | ['Yaroslava Marushchak', 'Ярослав Яхимович'] | [] | ['affectiva', 'beyondverbal', 'ios', 'iphone-sdk', 'swift'] | 19 |
9,949 | https://devpost.com/software/yozznet-7pbfoi | P2P Network : Buy-Sell-Request Section
A student selling book
Lost and Found
Request Feature. A student requesting cab share to Airport to save money.
Discussion Board
Initiative Section for team building request, mini-project etc.
Poll feature
Events Section with useful interest based filter tags!
Event info
Club adding event
User Profile Page
Add food item by restaurant inside campus
Registration of small business inside college campus
Menu shown to students
Inspiration
Being a college student, I (along with my friends) faced some issues which haven't been dealt with properly till now. So we decided to solve these following issues which we believe almost every college student face.
Wastage of resources
like calc, previous sem books, notes etc.
Missing out events
(eg. hackathons, seminar etc) both intra and inter-college events. ( Events are important part college life as it helps in recreation and develops personality also. Believe me, no one wants to miss events that interest them.
Lack of proper guidance
from seniors, teachers which lead to stress and anxiety and many-a-times suicides.
COVID -19 pandemic
: Social gathering in shops and restaurants inside the big college campus.
What it does
Yozznet tries to solve these problems and
helps crores students
in colleges around the world. It also
helps Businesses inside colleges
to prosper. Intuitive features of Yozznet:
Buy-Sell-Request section
- Connects students from a particular college together and lets them buy, sell, donate or Request (USP) items which they no longer need. Thus solving Resource wastage problem. We even have Lost and Found feature!
Events and Opportunity Section
- gives info about the upcoming events from their own college as well as other colleges. Covers both intra as well as inter-college events like hackathon, competitions etc. College clubs can easily conduct webinars, online seminars, online games, competitions etc. in these quarantine times also and let the whole college know at once.
Discussion Board
- Students can ask questions, conduct poll about topics they are interested in and want some guidance. Also, they can post "anonymously" about their fears, stress etc and we can connect them with mental health clubs of college. Ask anything, be it which elective to take in next sem or which skill to learn in quarantine.
inCampus Business
- In colleges where there are restaurants and shops inside its campus area, we are trying to make them online so that students can directly buy from our platform thus reducing social gathering. This helps both students as well as small businesses inside college campus.
How We built it
We are a great team of passionate developers who wants to have a positive impact on college students life. We built it using Flutter so that it can run both on Android and IOS with the same codebase.
Challenges I ran into
Forming this team itself was a challenge!. I and my brother conducted online workshops using Telegrams and provided students with resources to learn from. We solved their errors and guided them to speed up the learning process. Finally selected some of the most dedicated and promising learners:)
Accomplishments that I'm proud of
Won Business Plan Competition 2020 at Ramaiah Institute of Technology, Bangalore.
In TOP 10 at 1 Million Seconds Hackathon 2020(all India Level Hackathon) organised by Telangana State, TITA, TSIC and Publishsutra.
PagerDuty use-case
As we are an application-based startup, we can use the power of PagerDuty for monitoring and alerting about the issue and problems we might face. We believe PagerDuty can ease a lot of our work and increase our productivity.
What's next for Yozznet
To take it forward with full enthusiasm as a startup and launch it for every college in India ( and the world later :)
Built With
dart
firebase
firestore
flutter
javascript
node.js | yozznet | Yozznet - an app for ALL your college needs! | ['satyam kumar', 'Shivam Kumar'] | [] | ['dart', 'firebase', 'firestore', 'flutter', 'javascript', 'node.js'] | 20 |
9,949 | https://devpost.com/software/the-virtual-medic-fwbdr1 | LOGO
Disease Prediction Example
Disease Prediction Example
Disease Prediction Example
Barcode Scanner backend
Medicine Reminder
Medicine Reminder Setup
Inspiration
While access to healthcare and hospitals remain very delicate in these times, we are developing a full AI based model that can be easily used and deployed to automate the process of patient hospitalization.
What it does
As the initial part of the project we have developed the health application serves several purposes. To begin with, the app has a Disease Predictor, which takes symptoms as the user input and predicts the disease based on the
same. The application also implements a Barcode Scanner that scans the barcodes on different
medicines via the camera and displays the details about the same like usage, effectiveness
and side effects. The app also lets the user input their daily medication including the number of doses and their
timings. On adding, the app would send the user a notification at every dosage time.
How do we aim to automate hospital interface with the same ?
Through the disease prediction model, i further aim to deploy a consultation mechanism that based upon the user symptoms connects us with the related doctor who specializes in the same field, for e.g orthopaedics, psychiatrists, general surgeons etc. Deployed in a hospital, the same can be used to assist patients with database management as well consultation management.
How I built it
The app is completely based on python with android being used as the front end framework.
Accomplishments that I'm proud of
The accuracy of the model and its ability to predict upto 41 diseases based upon the 132 different symptoms provides evidence of the advancements that can be made in this field.
What I learned
Being a machine learning enthusiast, i had never used android for deploying a front end to my application, hence android is the very main thing that i acquired from the project
What's next for The Virtual Medic
I plan to work on the UI of the application as well as plan to integrate a virtual video conferencing tool that can connect the user to nearest doctor for health consultation.
Built With
android
flask
keras
machine-learning
python
Try it out
github.com | The Virtual Medic | ML Based Disease Prediction and Hospital Automation | ['harsh pandey', 'Neel Kukreti', 'Tanvi Thakur'] | [] | ['android', 'flask', 'keras', 'machine-learning', 'python'] | 21 |
9,949 | https://devpost.com/software/brillbox-ugvmcf | You can make BrillBox at home too! Just follow the schematic.
GIF
Dirt, germs, and viruses can get stuck on the surface of the mask
Arduino Nano close up
LCD close up
Resistive Ballast
Aluminum foil layer
Introduction
With the shortage of PPE in hospitals and masks surging in price on online delivery sites, the public has resorted to taking their own initiative to protect themselves. This initiative has primarily become prevalent with anyone that has 3-D printers or sewing equipment. With organizations such as Helpful Engineering creating and certifying 3-D printed mask designs, they help set the standard of safety in the D.I.Y PPE community. Yet, how does the public know if their masks are still safe after a certain amount of uses? Our mouths are essentially a vacuum, sucking up surrounding particulates. When an N-95 mask is worn, these particulates get sucked towards our faces only to be stopped by the mask. Over time, germs, dirt, and viruses will populate themselves onto the surface, turning it into a health hazard to anyone that touches it.
This same question can also apply to essential workers’ clothing, as these employees are at work for most - if not all - days of the week. During their long shifts, their clothes will not only pick up grime like everyone else's, but also bacteria and viruses that are floating around in the air or multiplying on countertops and furniture.
Even with consistent wash-and-dry techniques, the virus may still be present on clothes, homemade masks, and other fabrics that humans have frequent, skin-based contact with. Thus, there is a need for the general public to have access to a way to clean their PPE from dirt and grime but also from germs and viruses. This is where BrillBox comes in.
Purpose & Motivation
With the surge of COVID-19, there has also been a huge spike in demand for PPE, most notably masks. This increase in demand quickly left pharmacy shelves bare of surgical and N-95 masks. To solve this, mask producing companies such as 3M and Honeywell have sought it to increase their production of PPE. This tactic, although simple in nature, will do very little to stifle the demand of masks. Instead, the solution to the lack of PPE is finding a way to constantly reuse it.
Likewise, in respect to frontline workers, constant washing and steaming of clothes is not efficient nor convenient. As for at-home mask makers, the materials used in a mask may typically derive from materials such as cloths and paper-based filters. It is immediately obvious that these materials will degrade after continuous washing, prompting the user to require more masks and more PPE.
These issues can be easily solved by using a sterilizer, which can destroy germs and viruses that may be present on the surface. Although this technology is widely used in labs it costs far too much for the average user to buy (a lab sterilizer hovers around $7000). Besides this, currently, there is no commercially available sterilizer meant to clean PPE and masks.
With all this said, it is immediately obvious that to extend PPE supply, save hospital workers time, and find a way to reuse non-washable filters, we need a cheap, user-friendly sterilizer.
How BrillBox Works
It is a well-known fact in biology that UV radiation breaks down DNA and RNA, eradicating germs, and viruses. Knowing this, all that is needed to sanitize PPE is a concentrated amount of UV for 15 minutes.
To achieve this, Brillbox uses off-the-shelf germicidal bulbs operating in the 264nm range. This wavelength has been tested to be the most efficient at destroying RNA. From there, all that is needed is a special control circuit that will be able to turn the bulbs on and off. This controller comprises of an Arduino Nano, a voltage regulator, a resistive ballast, and a relay, among other miscellaneous parts. Likewise, the control circuit also interfaces with the UI of the box, which is simply two buttons, a buzzer, and an LCD display.
The schematic for the entire project is linked in the gallery (above)
Cost
Due to the simplicity of the design, the entire box costs about $12 to produce and is able to sanitize up to 160,000 masks before needing to replace the germicidal bulbs.
The cost of each individual component is as follows:
Arduino Nano -
$1.70
Buzzer -
12¢
LCD Display -
$2
Buttons (2) -
50¢
Germicidal Bulbs (2) -
$8
Cardboard Box -
Free
Aluminum Foil -
30¢
Relay -
50¢
Reed Switch + Small Magnet -
8¢
Total: $11.20
Note:
The 160,000 comes from the following calculations:
The bulbs last for an average of 50,000 hours or 300,000 minutes.
Each mask requires at most, 15 minutes to sterilize.
8 surgical masks can be sterilized at the same time.
(300,000/15)*8 =160,000
A Note on Safety
Brillbox is designed with safety in mind.
Using UV germicidal bulbs, it is obvious that users may first feel apprehensive of the product. This apprehension is understandable but the Brillbox team has done many things to increase user safety.
Brillbox uses 264 nm UV waves, a subset of the UV-C range. Although UV is able to cause skin cancer, the
UV-C range is not the wavelength associated with skin cancer
(UV-A to UV-B). Likewise, the bulbs used in Brillbox are low power (3 watts), a small fraction compared to the
175 watts that reach the Earth from the Sun
. This means that, in direct contact with the skin, the UV-C will have little affect for short periods of time.
It is also important to point out that UV does not have the same properties as Alpha or Gamma particles. UV waves can be reflected by certain materials, most notably water, glass, and aluminum. To contain the radiation, the inside of the box is lined with two layers of aluminum foil, helping to reflect the UV rays towards the masks. This increases both the efficiency of the box and as well as keeping users safe from potential contact.
Ozone may also be a concern as many UV sanitation devices produce the dangerous gas to increase sanitation efficiency. Although this would benefit Brillbox, ozone, when inhaled, can trigger
asthma attacks, chest pain, coughing, and other respiratory complications
. Thus, the Brillbox team has opted to use ozone-free bulbs to users from potential ingestion.
Last but not least, if the Brillbox lid is ever opened during operation, the control circuit will instantly turn off the UV bulb. This is to ensure that the user will never come in contact with the UV present in the device.
Overall, the team at Brillbox has done extensive research on UV sanitization. The team has taken all the necessary steps to prevent any complications from happening, protecting the user, loved ones, pets, and anyone else that uses Brillbox.
Difficulties and Challenges Faced
There were many challenges that the Brillbox team had to overcome to arrive at where we are today. For instance, our team went over 2 different ideas to get to the idea of sanitizing PPE.
Our first idea was to utilize small particles to measure the efficiency of a mask, which evolved to using a laser that has the same wavelength as the diameter of COVID-19 (60-140nm). The basic principle is to measure how much light is able to pass through the mask in question. From there, we are able to calculate how small the holes are in the mask and how effective it would be in the medical setting. This project fell through because the wavelength needed (60-140nm) is in the high end of the UV range, and in a laser form, would pose a health risk to anyone that is not an optics professional.
Our second idea was to make an enclosed mask, kinda like a scuba mask, that will isolate the user from the outside environment. It would use the hot side of a Peltier module to kill incoming bacteria and viruses, and on the cold side, would generate a climate-controlled environment. This would essentially mean the user would have A/C in his mask, keeping the user cool throughout the day. The main application for this mask would be hospital workers who have to operate on patients for 8+ hours a day. Keeping cool is a necessity for them, however, this idea fell through simply because Peltier modules are unable to reach the 100° needed to destroy proteins at an affordable price point.
Besides going through multiple ideas trying to get the UV bulbs to work was extremely tiresome and laborious. Bought off of Amazon, the UV bulbs lack any substantial documentation. Therefore, we had to experiment with different resistive ballasts to prevent the bulb from burning itself out.
Another challenge was writing up the documentation and creating the video has been a very stressful process. As the bulk of the team are high schoolers, this hackathon happened right as finals and AP testing started to kick in. This ate away our time, leaving us only 5 days to write up everything.
Edit:
It is with a heavy heart that I write this but it seems that my teammates have ditched me. My teammates promised to help write the documentation, which they wrote the first two paragraphs but disappeared ever since. This is why only one person is listed in the Devpost despite continuously referring to the BrillBox team. I, Kevin Yang, simply assumed that they were taking a break from the screen so I continued to write using “we” and “team”.
This obviously has its own challenge (I had to do the bulk of the project).
Market Evaluation
As said earlier, this product is the only commercially available sterilizer to date. With its simple UI, low price, high user safety, combined with the increased demand for masks, BrillBox is a viable product.
First and foremost, Brillbox is designed to be manufactured on a large scale. The control circuitry can be easily turned into a PCB and the UV bulbs are in-large supply. This means BrillBox is both cheap to make and always in ready supply.
Likewise, Brillbox is flexible, able to change form factors depending on the user's needs. If a hospital needs to clean hundreds of masks a day, BrillBox can be easily re-designed to hold a high volume of masks in a dense space, still using the same base controller. If the home user requires only a mask to be cleaned twice a week, a smaller, more compact BrillBox can be made.
Besides flexibility, BrillBox is designed with user safety in mind. As said earlier, the BrillBox team has done their research and has developed a way to safely contain UV light in a box, protecting user’s families, pets, and more. As well, BrillBox can be easily approved by the FDA as it already expounds on best practices seen in lab sterilizers and other commercial UV products such as toothbrush and HVAC cleaners.
Improvements
A product can always be improved. With BrillBox, there are a few minor things that need to be improved in later models.
The first issue is the aluminum foil inside. As the foil layer was done by hand, the aluminum is not as smooth as the team would like. The only consequence of this is a decrease in sanitization efficiency. The un-smooth aluminum foil does not have any effect on the safety of the box.
Likewise, another improvement is using a plastic housing instead of a cardboard box. Although cardboard is cheap and lightweight, it is not as strong as plastic and thus, can be prone to breaking. The reason why Brillbox was constructed using a cardboard box was simply due to a lack of supplies and an inability to get a large, plastic box.
Another change would be to run the UV bulbs on AC and not DC. The UV bulbs used in BrillBox are some of the most efficient on the market (~40% of the bulb's energy comes out as UV), yet they are currently being run at ½ its rated efficiency. This is simply because the box is driving them using DC whilst they are normally driven off of AC. The reason is simply I did not have access to an AC supply that could power the bulbs.
The last notable change to Brillbox would be replacing the resistive ballast circuitry with an electric ballast. This would help increase the efficiency of BrillBox as the resistive ballast converts any unneeded current into heat.
Conclusion
All in all, with Brillbox, users can say goodbye to the days of handwashing masks or going to the store to buy a box of N-95’s. Brillbox is cheap enough, flexible enough, and safe enough to be used by everyone. With the prototype only costing $11.20 to make, combined with the demand for more PPE and masks, BrillBox will supply the people a product they have been needing for so long.
Whats Next?
Many say that the COVID-19 pandemic is slowly dying down, but I think the opposite. If we look at the states (in the U.S) that have reopened, many of them have had a huge surge in cases. This is why we need a product such as BrillBox. As long as COVID-19 exists, which will be a while, people will need PPE. BrillBox allows people to reuse their PPE, allowing them to consume less and extend their diminishing supply.
With that said, I hope to make BrillBox a fully-fledged consumer product aimed towards at-home users such as families.
Built With
arduino
electronics
hardware
liquidcrystal
nano
relay
sensors
Try it out
github.com | BrillBox | Revolutionizing How We Sanitize | ['Kevin Yang'] | ['The Wolfram Award', 'Most Innovative Hack'] | ['arduino', 'electronics', 'hardware', 'liquidcrystal', 'nano', 'relay', 'sensors'] | 22 |
9,949 | https://devpost.com/software/bloggie-where-every-one-is-a-blogger-gi9enq | Inspiration
With abundant resources for starting a blog, people often get confused on how to start it or don't have enough resources to start a blog. To overcome this problem, we wanted to create a platform so that anyone can publish articles and earn money without the need of setting up or maintaining a blog.
What it does
It provides a platform for people who want to start a blog but are unable to afford the expenses of running and managing a blog. Here in Bloggie, a person can publish articles and can generate passive income just by sharing them with others. The more influencing the article is, the more they can earn.
Key/Important Features:
Simple Signup Process - It takes less than 5 minutes to create an account and get started.
Single Click Publishing Process - Any one can publish articles in a matter of minutes with just a single click.
3.Trusted Authentication - Bloggie uses Firebase (by Google) for authentication.
User Friendly Interface - The simple and clean interface ensures that the platform is easy-to-use and
intuitive.Publish an article and start earning.
Categorized Explore - Explore various articles by all publishers based on your interested category.
Hand-Picked Articles - Read featured articles hand-picked by us.
How we built it
We have used Flutter (framework written in Dart) to develop cross platform hybrid apps and Firebase as backend. We used Provider State Management Technique to persist and manage global state of app.
What's next for Bloggie - where every one is a blogger
Web App
Major Improvements
More New Features
Rewards For Readers
Built With
dart
firebase
flutter
Try it out
github.com | Bloggie - Where every one is a blogger | A platform where anyone can be a blogger and can make money | ['Mohammed Mohsin', 'Habeeb Ullah'] | [] | ['dart', 'firebase', 'flutter'] | 23 |
9,949 | https://devpost.com/software/trafficwatch | Dashboard for the Navigator web app.
API routes for the Navigator web app.
Navigator
Traceability insights created from incidents by the PagerDuty API and traffic monitoring via a TomTom (
https://developer.tomtom.com/
) layer. Navigator reports traffic problems with last-mile parcel delivery for consumers using the Tom
Tom Traffic Incidents API
and Tom Tom
Traffic Flow API
in conjunction with the
PagerDuty REST API
.
Customers can add their tracking numbers to a real-time database and visit their dashboards to receive live crowdsourced updates of traffic incidents, wait times and overall flow of a specific region or zip-code. This data is then mapped using the open-source
Leaflet
maps using heat-map markers for further visual insights.
How I built it
The server and web app was built using Node.js technologies. The front-end is a single-page React.js app, powered by
react-router-dom
,
@material-ui/core
for interfaces and
undux
for state/store management. The back-end uses Fastify.js for routing and database client drivers like
rethinkdb
and
redis
.
I communicated with the PagerDuty API using the `@mapbox/pagerduty' library, and added the TomTom Traffic API to Navigator's API after thinking more about how I wanted to use PagerDuty to monitor traffic and create insights from incidents.
Unfortunately, I found out about the DeveloperWeek Hackathon pretty late and was unable to access the webinar from 06/15/20, so I had only a day to come up with a demo for my concept of
real-time traffic monitoring through incidents and log entries
. Thankfully both PagerDuty and TomTom have well documented APIs, and sacrificing complexity for the ease of a quick Node.js API proved useful in the end for banging out my idea rather rapidly.
The web app is hosted on Vercel, formerly ZEIT. The API instance is deployed to a VPS using PM2 and Nginx reverse proxies. The database(s),
rethinkdb
and
redis
, are self-hosted using a quick docker image pulled from DockerHub. Everything is still a work in progress, but the project is definitely promising for a real-world, world-wide use case: traffic.
What I learned
I learned how powerful PagerDuty and TomTom APIs are. Most people are familiar with PD because they're a part of some software SaaS company that needs hosted incident reporting and analytics, and they needed it yesterday. With this in mind, it's easy to dismiss PagerDuty as another blackbox developer tool to be used for an existing system. I wasn't aware of the real-time possibilities you could explore w/ using PagerDuty as a real-time service.
Of course, the monitoring and analytics bunch is still there, but there's something there that reminds me of Zapier/Twilio for end user reach, and I wish to explore it further. After reading the documentation, I knew I had to find a way to incorporate
RethinkDB
with the
TomTom
API for the submission suggestion of traffic.
So far, it's turning out good.
What's next for Navigator
My work for Navigator, and the DeveloperWeek Hackathon won't stop at this week. I plan to keep the code open source and continue working on the problem, preferably with a team, to continue investigating useful cases for the PagerDuty API. I hope to create something cool, and if I get bored, leave it to the next promising challenger with a vision for niche real-time logistics tools like me.
Also, I admittedly want to change the name. Navigator is cool, but it doesn't really
stick
that well. I got it from a old Childish Gambino song.
Try it out
github.com
navigator.vercel.app | Navigator | Traffic monitoring and insights for last-mile parcel delivery, powered by PagerDuty and TomTom. | [] | [] | [] | 24 |
9,949 | https://devpost.com/software/prognosist | Prognosis Analyzer allows you select a maximum of 7 symptom for analysis.
Symptoms are dragged and dropped into the box for analysis
Analysis Result. The prediction is displayed on this paged
Doctors can improve the dataset by adding their diagnosis.
Inspiration
In this bleak and confusing corona and home ridden times, the entire fear is caused due to limited information and the rule of misinformation is prevalent. The lack of coordination and proper information has caused so many deaths.
So we thought, we will develop a symptom analyzer that can accurately predict what kind of disease is the patient suffering from. This can help doctors speed up analysis and also help in predicting an outbreak! It can also inform the public about what kind of disease they might be facing which helps them to understand if they need to go to a doctor immediately to get a proper diagnosis. This can help the person to get the required treatment on time.
What it does
Prognosist uses machine algorithms to identify the possibility of a disease by analyzing the symptoms. This can help doctors improve the speed and accuracy of their diagnosis. Doctors can also use our system to find out rarely occurring diseases that might be difficult to diagnose. Currently, we can analyze 132 symptoms and predict 47 diseases. This can be improved by adding more data to the dataset.
We have partially added an option that allows doctors to add their diagnosis to our dataset and help us improve it.
How we built it
The entire web application is built using Django. We used Jupyter notebook to run analysis and trained our model using the Random Forest Algorithm. Dataset was taken from Kaggle.
link
. Frontend is built using simple HTML, CSS, and javascript.
A minimal user-friendly interface is used to make operations easy. The model is also saved directly using pickle and is not trained every time to increase the efficiency
Challenges we ran into
Getting a good dataset was one of the main issues we faced while developing this project. There were very few datasets with sufficient information. This created a huge problem for us. We managed to find a good one on Kaggle after searching lot. The dataset was not complicated and allowed us to train a model easily.
We also faced certain development issues with Django which we managed to overcome.
Accomplishments that we're proud of
We were able to predict diseases with high accuracy. We believe that our project has huge potential in improving medical field. It can save many lives by giving doctors the correct diagnosis at the fastest rate possible.
What we learned
Building web applications is easier on Django. We learned how to use Django and also covered concepts of machine learning that can help us in our career.
What's next for Prognosist
The application can further be improved to predict an outbreak. Our database provides sufficient information for such a prediction. By analyzing the rise of symptoms in a particular location, we can detect if there is an outbreak. This can help us stop another pandemic. This application has a long way to go and can revolutionize the medical industry
Built With
argon2
css
django
html
html5
javascript
json
jupyter
pickle
python
scikit-learn
Try it out
github.com | Prognosist | A machine learning based symptom analyzer which predicts the disease. This app can be further improved allowing it to predict the possibility of an outbreak and prevent it efficiently. | ['Shubh pachauri', 'Pratik Garai', 'Jerry Jaimon', 'Deosaur Surya'] | [] | ['argon2', 'css', 'django', 'html', 'html5', 'javascript', 'json', 'jupyter', 'pickle', 'python', 'scikit-learn'] | 25 |
9,949 | https://devpost.com/software/contactless-covid-test-personalized-diet-suggestions-ai | Contactless COVID-19 Test Web App
App screen
Cough test
Respiratory test
Heart BPM and Respiratory Rate
Patient's medical details
Patient Result
Doctor's tab
Doctor replay to patient
general query chatbot
Inspiration
COVIID-19, the most exasperating topic spoken all across the Globe. We are all aware of this virus and its consequences. People get afraid due to the symptoms of COVID-19 and crowd at the hospitals which is currently very
difficult for the frontline workers to manage and take tests for all
. It is very important to know who actually needs to be tested. Hence people who are at a higher risk are only needed to be targeted.
Also it has been found that the
best medicine
for COVID-19 is
improving our immunity
. So, a
personalized diet suggestions for encountering COVID
would improve each and every one to win this battle against COVID.
Lot of
fake news about COVID
are spreading on social Media where people get confused on what to do. So it would be better if they get answers for their questions on what to do and what not to do.
How this application works
A simple Web App integrated with AI systems is implemented which helps the Doctor to diagnose the patients without visiting them. The Web App contains the following:
Contactless Test
Personalized Diet Suggestions for COVID-19
Chatbot
Contactless Test
A risk score is generated by the AI system which ranges from 1 - 100. It is this score that helps to prioritize the patients. Higher the risk score, higher is the importance given to that patient.
The Contactless test consists of the following:
Dry Cough Severity
The user is made to cough and its sound is recorded and sent to the Database. The Convolutional Neural Networks reads the input frequencies using the spectrogram images and predicts the dry cough rate based on how severe the dry cough is. If its a normal cough or a wet cough, the dry cough rate would be less. This test contributes to the risk sore.
Heart BPM | Respiratory Test
The user is made to take deep breath in and out for 15 - 20 seconds which is recorded by the camera. The Convolutional Neural Networks read the input image sequence and generates the respiratory rate and bpm. Based on these values, the AI system keeps a track to the risk score.
Queries
Well framed queries are questioned where the user need to answer. Eg:
"What is your Current Location?", Do you have any travel history in the past 30 days?, Are you able to smell odorous items?
etc..,
The AI system itself finds how severe COVID is affected in the user's current location and if its high, then accordingly it gets tracked to the risk score. In the similar way all other questions are also tracked by the AI system to the risk score.
Finally the AI System generates a risk score for the patient.
Now Doctors can login the Web App at any time and can diagnose all the patients based on these tests. Finally the Doctor writes the prescription/remarks for the patient.This is sent to the patient's mail.
As a prioritization is made, highly risky patients are diagnosed first. The user can follow the guidelines as prescribed by the Doctor in the Prescription.
AI Personalized Diet Suggestions for COVID-19
The users need to answer the questions which helps to calculate the magnesium, zinc,fat,water,sugar and vitamin content in their body. This is sent to the database. Random Forest Algorithm is used to determine what kind of diet is needed for that person in order to improve the immune system.
Chatbot
Its an RNN based chatbot. People can ask any kind of queries regarding COVID. All the data's and facts about COVID were fetched from official websites like WHO. So people can ask like "How to go to a grocery shop?", "Should I use masks at home?", "Are kids affected equally ?" etc...,
How this application was developed
The COVID Test, Chatbot, Diet Suggestions were created using the tensorflow and keras frameworks. (Python)
The UI was entirely made using HTML, CSS, Javascript.
A MYSQL Database was made locally using phpMyAdmin.
The AI system, UI and MYSQL was integrated using flask.
How to use this application
The packages mentioned in the Github link of the project has to be installed. Once the Database is created as listed in Github, run "python app.py" in the Command Prompt which opens the Web App.
Difficulties & Challenges we faced
Detection of the ROIs(Region Of Interest) in our face to calculate the BPM and Respiratory Rate.
Converting the sound data into spectrogram images to train the CNN.
Accomplishments that we're proud of
We have used AI technology that can simplify the jobs by concentrating more on the highly risky people rather than taking tests at hospitals for everyone. This prioritization focuses on the early identification and protection of vulnerable patients and health care workers.
Apart from that, a diet recommendation and Chatbot is made to effectively make an ALL-IN-ONE helpful website for the people.
What we learned
An in depth analysis was made to understand and evaluate the Nutrient levels in the patient and recommend them a suitable diet.
Working in Face Detection and finding the ROIs.
Go-to-Market Evaluation
The Database has to be pushed into the server. Once the Web App is hosted, it can be assessed by all.
What's next for Contactless Covid Test & Personalized Diet Suggestions - AI
Working to create a pulse oximeter which uses the image of our finger to detect our oxygen saturation levels in our blood. This is very useful for COVID test as it has found that most of the COVID patients have SO2 less than 90%.
Built With
css
flask
html
javascript
keras
python
sql
tensorflow
Try it out
github.com | Contactless Covid Test & Personalized Diet Suggestions - AI | Web App integrated with AI systems to support Contactless COVID19 Test, Patient Prioritization, Personalized Diet Suggestions and COVID Chatbot. | ['Dharineesh Ram T P', 'keerthana ravikumar', 'Karthikeyan Thanigai', 'Kaviya R'] | [] | ['css', 'flask', 'html', 'javascript', 'keras', 'python', 'sql', 'tensorflow'] | 26 |
9,949 | https://devpost.com/software/yozznet-n1s970 | P2P Network : Buy-Sell-Request Section
A student selling book
Lost and Found
Request Feature. A student requesting cab share to Airport to save money.
Discussion Board
Initiative Section for team building request, mini-project etc.
Poll feature
Events Section with useful interest based filter tags!
Event info
Club adding event
User Profile Page
Registration of small business that operates inside college campus
Restaurant adding food item in menu
Menu displayed to students
Inspiration
Being a college student, I (along with my friends) faced some issues which haven't been dealt with properly till now. So we decided to solve these following issues which we believe almost every college student face.
Wastage of resources
like calc, previous sem books, notes etc.
Missing out events
(eg. hackathons, seminar etc) both intra and inter-college events. ( Events are important part college life as it helps in recreation and develops personality also. Believe me, no one wants to miss events that interest them.
Lack of proper guidance
from seniors, teachers which lead to stress and anxiety and many-a-times suicides.
COVID -19 pandemic
: Social gathering in shops and restaurants inside the big college campus.
What it does
Yozznet tries to solve these problems and
helps crores students
in colleges around the world. It also
helps Businesses inside colleges
to prosper. Intuitive features of Yozznet:
Buy-Sell-Request section
- Connects students from a particular college together and lets them buy, sell, donate or Request (USP) items which they no longer need. Thus solving Resource wastage problem. We even have Lost and Found feature!
Events and Opportunity Section
- gives info about the upcoming events from their own college as well as other colleges. Covers both intra as well as inter-college events like hackathon, competitions etc. College clubs can easily conduct webinars, online seminars, online games, competitions etc. in these quarantine times also and let the whole college know at once.
Discussion Board
- Students can ask questions, conduct poll about topics they are interested in and want some guidance. Also, they can post "anonymously" about their fears, stress etc and we can connect them with mental health clubs of college. Ask anything, be it which elective to take in next sem or which skill to learn in quarantine.
inCampus Business
- In colleges where there are restaurants and shops inside its campus area, we are trying to make them online so that students can directly buy from our platform thus reducing social gathering. This helps both students as well as small businesses inside college campus.
How We built it
We are a great team of passionate developers who wants to have a positive impact on college students life. We built it using Flutter so that it can run both on Android and IOS with the same codebase.
Challenges I ran into
Forming this team itself was a challenge!. I and my brother conducted online workshops using Telegrams and provided students with resources to learn from. We solved their errors and guided them to speed up the learning process. Finally selected some of the most dedicated and promising learners:)
Accomplishments that I'm proud of
Won Business Plan Competition 2020 at Ramaiah Institute of Technology, Bangalore.
In TOP 10 at 1 Million Seconds Hackathon 2020(all India Level Hackathon) organised by Telangana State, TITA, TSIC and Publishsutra.
What's next for Yozznet
To take it forward with full enthusiasm as a startup and launch it for every college in India ( and the world later :)
Built With
dart
firebase
firestore
flutter
javascript
node.js | Yozznet | Yozznet - an app for ALL your college needs! | ['Parthiv Menon', 'satyam kumar', 'Shivam Kumar', 'Akash Agarwal', 'Jatin Solanki', 'Niharika Kesarwani', 'AKARSH.H.SIMHA SIMHA'] | [] | ['dart', 'firebase', 'firestore', 'flutter', 'javascript', 'node.js'] | 27 |
9,949 | https://devpost.com/software/ed4you | Anytime Anywhere Learning
We refer to scientific research
Content Curriculums Coaching Classroom
GIF
Demo script to scenes
Video Wiki
A collaborative platform for learners and educators to secure learning continuity in times of restrictions and beyond.
A simple tool for teachers to create teaching content without any advance knowledge of a tool or code. They create by using various media and graphics from the open stock libraries and merging it with their own content to keep it engaging and diverse. Consider the tool as a
"Video Wikipedia for Learners and Creators"
.
Prototype
Table of Contents
About Project
Inspiration
Vision
About Product
Problem -
How do we ensure learning continuity?
Solution -
Online and immersive digitalization of Content, Curriculum, Coaching, and Classroom.
Prototype
& Technology -
Rapidly developed, working, and ready for use.
Goals -
Project goals and alignment with the SDGs
Strategy -
Steps to build a sustainable and scalable business
About Market
Market Size -
Size of impact and response
Market Shift -
Traditional to Transformed Education
About Impact
Learner Experience
Teacher Experience
Mission and Guidelines
Next steps
About Us
Team & Contacts
Acknowledgements
About Project
Inspiration
Theoretical knowledge online is what most universities have achieved, but practical training online so far seems unique. We are building tools to auto-generate (convert)
text-based content to video-based online content
with an extension towards gamification and immersive techniques for advanced pieces of training.
Vision
To ensure learning continuity for all.
Standardized education and access to all with equal opportunities to educational processes.
Content
Curriculums
Coaching
Classroom
About Product
Problem:
How do we ensure learning continuity?
In the education system, more than 90% of students are impacted due to school and university closures. Learning has been disrupted due to the pandemic. There is a requirement for a new education model. The map is a depiction of countries that are experiencing lockdown in terms of a countrywide or a localized lockdown. The education sector is affected by these lockdowns. An estimate of 1.5 billion students have been affected worldwide due to the pandemic.
Solution:
Online and immersive digitalization of Content, Curriculum, Coaching, and Classroom.
Digitize, Digitalize, and Digitally Transform the processes involved in content creation, sharing, and learning methodologies.
The solution is to tackle the situation by providing the teachers with an assisted course creation tool to develop interactive media lessons for the students. This shift to virtual learning enables students to learn through this digitized media anytime and at any place. In this manner, the teachers, as well as students, can continue the education from a place of safety and protected environment of their homes.
Prototype & Technology:
Rapidly developed, working, and ready for use.
Using AI-based text classification methods, we can identify the context of the content and make queries to public video media libraries using APIs. These can be given back to the teachers as an assisted course creation tool to develop interactive digital media lessons for their students.
We offer a tool for teachers. They copy-paste the content they want to convert to a video.
The AI uses
'sentence detection'
algorithms to break the content into scenes or Short or Long intervals (As selected by teacher), the grammar and punctuation are checked by another AI process similar to the common spell-checker.
Then another AI algorithm detects the important keywords from each scene. This tagging helps in identifying the context of the sentence/scene might be.
Then we use the open media libraries to check stock videos around those tags and fetch the relevant clips to present back to the teacher to pick.
(Until here, the only part the teacher/creator has done is paste the required content, rest all is done automatically.)
Now the teacher can review the suggested scene sequence, the overlaying text and if everything is correct with prediction, then go ahead and stick the videos together preview and publish.
If the teacher wants to add narration, or change text, or change video scenes, he would be able to do that and customize the course.
We offer a method for students to participate in applied educational processes from their homes.
Many technological mobile devices such as computers and tablets are widely used in homes. These tools are effective for students to be involved in applied training. For the K12 level or up to university students we build video solutions, using simple AI techniques and some APIs available openly (list available on request). We developed endpoints for these services for others to use and innovate their own solutions.
Goals:
Project goals and alignment with the SDGs
The importance of education is highlighted in
SDG 4
(“
Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
”). This goal encompasses various dimensions that are critical to supporting young workers’ transition into the labor market and career progression.
Target 4.3:
“
By 2030, ensure equal access for all women and men to affordable quality technical, vocational and tertiary education, including university.
”
Target 4.4:
“
By 2030, substantially increase the number of youth and adults who have relevant skills, including technical and vocational skills, for employment, decent jobs and entrepreneurship.
”
The main goal of the project is to create an impressive easy-to-use website. The marketing of this site will emphasize its educational value for students, teachers, companies that provide educational services. A feature of the website and pages on social networks will be the presence of a chatbot to improve navigation, technical support, and collect feedback and suggestions from learners.
Strategy:
Steps to build a sustainable and scalable business
The theoretical form of learning may not be as efficient as
practical learning
. Thus, the effective means to enhance virtual teaching is the tool proposed in this plan. Based on our survey, teachers are finding it hard to adapt to the digital means of teaching. The requirement for a new education model has risen. The major problem is for the teachers to convert their teaching material into
digitized content
. Thus, the technicians in the team are developing a simple tool that will assist the teachers. It will make the process for conversion from normal text-based content into digitized content easier. The teachers can develop and deliver classes through media platforms using this tool. Currently, media platforms allow the addition of material for reference by the students. Thus, the teachers would prefer the new platform which creates media files for them. The children will benefit from the ideology of
immersive and in-depth education
. The new education model will ensure that the impact of the global virus pandemic is not too severe in the education sector.
About Market
Market Size:
Size of impact and responses
Learning disrupted for all children and youth through 5-21 ages.
The target customer segments are the majority of the teachers who have a lack of knowledge to conduct these lectures via online tools. They will prefer this tool to create online versions of their courses. The students as well are the second target customers as they will also prefer online learning due to the global pandemic. The various other schools and universities are also a target market as they require such education models and tools to assist smooth learning in their institutions. This tool will be a potential product all institutions might prefer for conducting education.
Market Shift:
Traditional to Transformed Education
About Impact
Learner Experience
&
Teacher Experience
Mission and Guidelines
Develop and implement 'digital by default' policies across all public services, to demonstrate the benefits of digitization (of services) for people's daily lives and encourage digital adoption and skills. These policies should ensure a high level of awareness, accessibility, user-friendliness, and inter-operability and take into account the particular requirements of persons with disabilities and age-related limitations. They should also include incentives and support for the use of digital services, adapted to the needs of different groups.
Increase and improve continuous professional development for teachers and trainers to raise their awareness as well as the level of digital skills, help them understand the impact of digital technologies on their specific subject, and encourage them to use innovative/digital pedagogies.
Encourage teachers to create digital content, including learning materials.
Provide guidance to teachers for schools, universities.
Identify the main groups within the population with no or low levels of digital skills (e.g. low educated, elderly, low income, disabled, etc.), determine the specific issues they face and develop tailor-made support for each group in
order to encourage their use of digital technologies and the development of digital skills.
Design and implement low-threshold, tailor-made, basic digital skills (digital competence) training and further education opportunities for people with low levels of digital skills, including in particular the elderly, people with a low level of education, people with disabilities and people with a migration background.
Make better use of the EU skills panorama, which could help better assess and anticipate skill needs and make education and training systems more responsive to labor market needs
What we learned
To study and communicate a lot with people from different fields to form an integrated approach to solving the problem. Teaming up with total strangers and still acting together.
Next Steps
Even after the crisis, the solution will be a DIY help to teachers to automatically convert their lectures and notes to digital content with simple tools and minimum tech knowledge. An immersive approach for all regardless of their income level, technology level, or age.
Team
The solution will be a DIY help to teachers to automatically convert their lectures and notes to digital content with simple tools and minimum tech knowledge. An immersive approach for all regardless of their income level, technology level, or age. The teachers with a lack of knowledge can also use this tool simply by the operation of copy-paste.
Our Advantages
Immersive and applied training is a new concept that will attract students to gain knowledge.
A plug-n-play integration with universities with easy adoption.
Digital content generation can also be expanded to other applications like memos, university announcements, news, etc.
Teachers are technically challenged and cannot generate their own digital content.
The tool is extremely simple and has been curated by keeping customer satisfaction, ease of use as major priorities.
We have hosted a mock prototype on
http://videowiki.pt/
, in this link the working is explained in the video.
Built With
amazon-web-services
api
html5
pixabay
spacy
Try it out
videowiki.pt
www.youtube.com | VideoWiki (Ed4You) | Automatic Digitization of Teaching Material and Immersive Gamification of Practical Education. | ['Rui Couto', 'Ayushi Mittal', 'Shivam Dhawan', 'Nataliia Rzhevska', 'sumit rathore', 'Sai Supreet C', 'Tuğrul Yıldırım', 'Srajan Gupta'] | ['Challenge Winner'] | ['amazon-web-services', 'api', 'html5', 'pixabay', 'spacy'] | 28 |
9,949 | https://devpost.com/software/kitler | These were the results of some market research that we conducted.
Inspiration
Millions of Americans are obese and with the rate of obesity only growing something had to be done. Our group did some research and we realized that the main challenge people faced when working out was the
lack of motivation
. We had our core problem and as we conducted more and more research on fitness and the lack of exercise we were able to come up with Kilter which targets obesity at its root to create a more motivating and rewarding workout experience.
What it does
Exercising can be a hassle; not only is it impersonal, but it is often inconvenient, and therefore, we often fail to see the results we desire. Let us introduce you to our app
Kilter
, a first-of-its-kind fitness app which combines the rapidly expanding market trends of both personal training and a cashback reward system, all at a lower price than our competition. The large majority of health app users are not willing to pay for the app, so let's start off with the complementary aspect of our service. The free version of our app provides users with guided exercise videos in areas such as cardio, weightlifting, and calisthenics. We will also run ads during the video to profit. The trainer of the video will recommend that the user records a 1 minute video of them performing the exercise, and the user can choose to submit this video to the Kilter team to be validated. The user will then receive in-app currency to use in the app’s shop. As one of our potential customers stated in an interview,
“Money is a big incentive”
for people to complete fitness challenges. Furthermore, companies advertising in the Shop offer another viable revenue stream. And similar to the app Sweatcoin’s system, users can pay to submit more videos per day. Of course, our video submissions will comply with HIPAA in order to maintain the trust of users, sponsors, or companies that underwrite our solution. However, if a user wants a more personal experience, then our app also provides a paid service. For a price lower than gyms and our competitors, the paid experience of our app is a subscription based service where users can buy virtual training sessions with certified personal trainers. While other companies, such as Peloton or Skimble, offer online personal training, neither gives the user 1-on-1 video calling sessions, which Kilter would offer in order to add another revenue stream.
How we built it
We used
HTML and CSS
to build the webpage. Our backend developer was not present so we were unable to make the backend of the app.
Challenges we ran into
We were missing a key team member which really put a wrench in out plans, as a result we had to make do without a backend and out website was not as robust as we would have liked.
Accomplishments that we're proud of
We are proud that we were able to translate our idea into a
functioning webpage
!
What we learned
We learned how to link
HTML and CSS.
We learned how to use an essential skill for all coders,
Git and GitHub
. We also learned how to host a website on
GitHub
.
What's next for Kitler
We hope to get some funding so that we can develop the
website/app
in a more robust manner and so that we can also market our app once we finish developing it!
Find out more about the idea
A
google doc
with more information :
https://docs.google.com/document/d/15ymF2LfmkNsf3qw60XlfBjSdgwnFXub8hwiLBy24Huk/edit?usp=sharing
Our
facebook page
with potential customers:
https://www.facebook.com/fitnesskilter
Link to
Website
https://akhilr0.github.io/
Built With
css
html5
Try it out
github.com
akhilr0.github.io | Kitler | Kilter is the first app to combine the two market trends of 1-on-1 personal training and a cashback reward to provide a more motivating workout experience. | ['Gaurish Lakhanpal', 'Subham Mitra', 'Akhil Ramidi', 'Lance Locker'] | [] | ['css', 'html5'] | 29 |
9,949 | https://devpost.com/software/eye-can-code | Home page.
List of tutorials provided.
Simple print("hello").
More complex function.
Inspiration
With the recent COVID-19 pandemic, students worldwide have transitioned to online schooling. For some students, however, the transition has been harder than for others. Near where Veer lives is the oldest school for blind students: Perkins School for the Blind. Veer had always wanted to help them, and, during these times, he decided to help them when they needed it more than ever. Together, Veer and Saber worked on an online platform dedicated for the blind and targeted for Veer and Saber's favourite lesson: programming.
According to the National Federation of the Blind, COVID-19 has had a disproportionate impact on the blind, with many facing additional challenges during the pandemic. From an education standpoint, blind students and blind parents face uncertainty about the types of electronic materials they will be expected to use for the remainder of the academic year, making it hard for them to keep up with classes. Lastly, it is difficult for the visually impaired to learn how to code on their computer, a challenge which has been exacerbated by the pandemic.
What it does
We built a text editor which can listen to speech, translate it to Python code, and then run the code in a console. The platform is complete with an academy to teach blind students how to code, with lessons in variable types, for loops, if loops, functions, etc.
We used natural language processing to:
Allow the visually impaired to code in python by simply speaking
Provide a handful of python tutorials with voice and speech recognition features to effectively teach coding to people with visual impairments
Create an online platform for the visually impaired to learn
How we built it
We used:
Flask
HTML, CSS, and JS
Python
Natural Language Processing
Google Cloud Speech API
Challenges we ran into
We at first parsed the code in Python. However, when connecting it to the JS, it was incredibly laggy and didn't update in real time. Therefore, we had to translate all the Python code into JS which was tedious. In addition, SpeechRecognition only worked on one teammate's computer and not the other, which caused a lot of debugging to occur.
Accomplishments that we're proud of
We're really proud that our product is actually working for others to use. Not only did we complete a text editor, but we also got the academy working, which was great.
What we learned
We learnt how to use speech recognition and execute the code in string form. One of our teammates learned how to deploy code to Heroku and link it to a domain. We also learned more about linking JS with Python, especially for real-time work.
What's next for Eye Can Code
We want to make more aspects of our website audio to further help make it accessible for the blind. Afterwards, we hope to have the platform available for all to use.
Built With
css3
flask
google-cloud
google-web-speech-api
html5
javascript
natural-language-processing
python
Try it out
github.com
eyecancode.online | Eye Can Code | An online platform built with a speech-to-text python code editor for the visually impaired to learn coding | ['Shreya C', 'Veer Gadodia'] | ['The Wolfram Award', '1st Place Award', 'Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro'] | ['css3', 'flask', 'google-cloud', 'google-web-speech-api', 'html5', 'javascript', 'natural-language-processing', 'python'] | 30 |
9,949 | https://devpost.com/software/safe-ai-browser | Inspiration
Making browsing the internet safer is tricky, filtering applications and hardware block a whole domain, but are not smart enough to just filter sensitive images
What it does
Safe AI Browser is a browser plugin that detects the presence of images which are not suitable for minors and switch them to neutral images
How I built it
Using Azure cognitive service, the browser extension calls the vision API to determine if the image is suitable for minors or not.
Javascript for the browser extension
Accomplishments that I'm proud of
An intelligent AI based solution for disturbing images on the web
What I learned
Using Azure ML and cognitive services
What's next for Safe AI Browser
Next is a mobile SDK that can be integrated in mobile applications
Built With
ai
azure
machine-learning
Try it out
gitlab.com | Safe AI Browser | Improve your browsing experience using AI | [] | [] | ['ai', 'azure', 'machine-learning'] | 31 |
9,949 | https://devpost.com/software/again-vui0w1 | Inspiration
Few days before the start of the quarantine in Morocco, we were walking down the street and we saw a homeless guy trying to find food. Going back home, we were wondering what can this guy do if the quarantine gets imposed on us, Moroccans. A few days later, that was exactly what happened: we were quarantined. Thinking about that guy we saw the other day, we started brainstorming solutions that we can build as computer science passionates to make him and many others in the same situation as he finds a shelter especially during this tough time when they can be easily infected by the virus, as likely as easily spreading it. After seeing Covidathon, we believed that this is our chance to make our solution reach more people and to take the first step in making an impact.
What it does
Again is a solution that aims at securing shelter for homeless people during the lockdown by matching associations and organizations that deal with homeless people and house donators.
The solution also creates jobs for people who have lost their jobs by being applications' reviewers (more details about this below).
To secure shelter for homeless people, the application allows users to create accounts as an association, a house owner, or an applications' reviewer. All of the different types of users enter useful information about themselves when registering (details about the registration information required from each type can be found on the demo site):
As a house owner: anyone who possesses a house or multiple houses can donate them via the application by filling a house donating application. The application asks for information about the house/s that the user would like to donate. This information includes the location of the house, the area, but most importantly a document proving that the user owns that house. The purpose of this proof is to reduce the wasted time after matching an association with a user that does not really possess the house. This proof document will be processed by an AI system that will either validate it or not. If the document is validated, it will be available to applications' reviewers to match it with an association. If not, the donor’s application will be withdrawn. After the donated houses have been matched with an association or more associations (if there are many houses that a lot of associations can use), the contact of the donor is given to the associations so that they coordinate to finalize the donation process.
As an association: after registering in the application, associations can submit applications asking for matching with a donor. An approximate number of homeless people who will benefit from the donation should be specified in the application. It is then the job of applications' reviewers to review the application and decide on a match with a donor.
As an application reviewer: applications’ reviewers are people recruited through the application in order to review the associations’ applications and match them to house/s donors. To be an applications' reviewer, one must apply to the job through the website (applications are available in case of need when the amount of applications is too much). Applicants must provide their personal information, but most importantly, proof of losing their job because of the pandemic. This proof can be of any kind: a screenshot of an email of firing (the email should be forwarded later to make sure it comes from a recruiter, a document..). This proof of losing a job, plus the first-come, first-served basis, and the description of the need in the application are the factors that the admins are going to rely on when assessing applications. Each applications' reviewer will get associations’ applications on a weekly basis. Their job is to assess the need for associations and match them with house donors in the same locations. They also have to distribute the houses in an optimal way taking the need and the impact into consideration. Applications reviewers get paid from donations to the web application. These donations have nothing to do with the house/s donations, they are monetary donations that can be done through the web application to a specific bank account for this purpose. Anyone can donate including people not registered under any type in the application. More on how application reviewers get paid in the section below.
Payment Policy
Applications reviewers will get paid from donations. Since donations are uncontrollable, our team came up with an adequate solution. Applications reviewers will get a token for each application reviewed and thus an association matched with a donor. The value of a token changes on a weekly basis depending on the donations received. Here is a hypothetical scenario: we have 3 applications' reviewers who have reviewed 10 applications each, this means that each applicant has earned 10 tokens, making 30 tokens in total. The amount of donations received in this week is 300 $, implying that a token is worth 10 $. In this case, each reviewer will receive 100$ for this week. However, this method is not good if the amount of donations for a certain week is very high, let’s suppose that in the same previous scenario, the amount of donations is 30000 $, then a token will be worth 1000$. This also means that an applicant will earn 10000 $ for a single week. This might be not fair for other applicants who will join in the coming weeks, and when the donations will be very much lower. To solve this problem, we decided on having a maximum amount that a token cannot exceed so that if the amount of donations is high, we save it for later weeks.
Going back to our scenario, if we set the maximum worth of a token to be 20$, and having 30 tokens to issue, we will spend 600 $ and save 29400$ for upcoming weeks.
Important notes:
Before associations submit their applications, they have to agree to some terms and conditions. An important condition is that the associations should engage the beneficiaries in society by making them help either by doing a job, volunteering or helping other homeless people. The goal of the application is not only to find shelter for these people but to try to engage them in society especially during these tough times when we all have to unite.
Link to the document about using AI in Again:
[
https://docs.google.com/document/d/1RNNpGf3MIhp-lksVtGzXkH7Tb91Ilw4gRw7AJmu27bA/edit?usp=sharing
]
How we built it
To build our web app again, we (team members) divided the work into three parts:
The front-end part (Mohamed Moumou): This part consisted of designing each web page in the web app. The story of AGAIN and all the scripts in the web app. Also, building the actual web app front end using the react framework.
The back-end part (Ouissal Moumou): This part consisted of designing the database and building the actual back-end of our web app using the express.js framework, MongoDB(for the database), and APIs.
Deployment (Ouissal Moumou & Mohamed Moumou): We used Heroku to deploy either the back-end and the front-end app.
Accomplishments that we're proud of
The team of Again is very proud that he is thinking about homeless people when everyone is thinking about the problems of the homeful ones. It does not mean that homeful people’s problems are not urgent, but it means that there is a huge part of society that struggled and now struggling more because of the COVID-19 outbreak that needs urgent help and re-integration. Another accomplishment we are proud of is that our idea is providing jobs for people losing their jobs.
What's next for Again
1- Implementing AI solutions in our App,
2- Adapting the services offered by the app to every country's laws,
3- Make our web app available in many languages (Arabic, French...).
Helpful hints about running the application in our demo site:
http://againproject.herokuapp.com/
If the page returns an error message from Heroku, just refresh the page and it will work.
Here are some login credentials for quick testing of the application:
For an association: **
email:
[email protected]
password: Tasnim123
*
For a house/s donator: *
email:
[email protected]
password: yay yay
*
For an application reviewer: *
email:
[email protected]
password: Badr123
**The information and metrics shown on our app are fictional.
Built With
heroku
javascript
mongodb
node.js
react
rest-apis
uikits
Try it out
againproject.herokuapp.com
againbackend.herokuapp.com
github.com
github.com
docs.google.com | Again | Again is a solution that aims at securing a shelter for homeless people during the lockdown by matching associations and organizations that deal with homeless people and house donators. | ['Mohamed MOUMOU', 'Ouissal Moumou'] | ['The Wolfram Award'] | ['heroku', 'javascript', 'mongodb', 'node.js', 'react', 'rest-apis', 'uikits'] | 32 |
9,949 | https://devpost.com/software/safetravels-pr429f | SafeTravels Logo
Arduino Hardware Wiring Diagram
Constructed Arduino Hardware Circuit
Mobile App Signup Page
Mobile App Bus Line List Without Filters
Mobile App Seating Chart with Recommendation (Blue)
Mobile App RFID Setup Page
Mask Detection Analysis (High Confidence True)
Mask Detection Analysis (High Confidence False)
Audio Spectrogram for Cough Detection
Admin Website View + Add Bus Lines
Inspiration
Public transportation is a necessity to society. However, with the rapid spread of COVID-19 through crowded areas, especially in lines like city metros and busses, public transportation and travel have taken a massive hit. In fact, since the beginning of the pandemic, it is estimated that usage of public transportation has dropped between 70-80%. We set out to create a project that would not only make public transportation safer and more informed, but also directly reduce the threat of disease transmission through public transportation, thus restoring confidence in safe public transportation.
What it does
SafeTravels improves safety in public transportation by enabling users to see the aggregated risk score associated with each transportation line and optimize their seating to minimize the risk of disease transfer. A unique RFID tag is tied to each user and is used to scan users into a seat and transportation line. By linking previous user history on other transportation rides, we can calculate the overall user risk and subsequently predict the transportation line risk. Based on this data, our software can recommend the safest times to travel. Furthermore, based on seating arrangements and user data, a euclidean based algorithm is utilized to calculate the safest seat to sit in within the transportation vehicle. Video analysis for mask detection and audio analysis for cough detection are also used to contribute to overall risk scores.
How we built it
Mobile App
A mobile app was created with Flutter using the Dart programming language. Users begin by signing up or logging in and linking their RFID tag to their account. Users are able to view public transportation schedules optimized for safety risk analysis. Seat recommendations are given within each ride based on the seat with the lowest disease transfer risk. All user and transportation data is encrypted with industry-level BCrypt protocol and transferred through a secure backend server.
Administrator Website
The administrator website was created with React using HTML/CSS for the user interface and JavaScript for the functionality. Administrators can add transportation lines and times, as well as view existing lines. After inputting the desired parameters, the data is transferred through the server for secure storage and public access.
Arduino Hardware
The Hardware was created with Arduino and programmed in C++. An MFRC522 RFID reader is used to scan user RFID tags. An ESP8266 WiFi module is utilized to cross reference the RFID tag with user IDs to fill seat charts and update risk scores for transportation lines and users. If a user does not scan an RFID tag, an ultrasonic sensor is used to update the attendance without linking the specific user information. Get requests are made with the server to securely communicate data and receive the success status to display as feedback to the user.
Video Analysis (Mask Detection)
Video analysis is conducted at the end of every vehicle route by taking a picture of the inside and running it through a modified Mobile Net network. Our system uses OpenCV and Tensorflow to first use the Res10 net to detect faces and create a bounding box around the face that is then fed into our modified and trained Mobile Net network to output 2 classes, whether something is a mask or not a mask. The number of masks are counted and sent back to the server, which also triggers the recalculating of risks for all users
Audio Analysis (Cough Detection)
We also conduct constant local audio analysis of the bus to detect coughs and count them as another data point into our risk calculation for that ride. Our audio analysis works by splitting each audio sample into windows, conducting STFT or Short Time Fourier Transform on that to create a 2D spectrogram of size 64 x 16. This is then fed into a custom convolutional neural network created with Tensorflow that calculates the probability of a cough (using the sigmoid activator). We pulled audio and trimmed it from Youtube according to the Google AudioSet, by getting audio labeled with cough and audio labeled as speech and background noise as non_cough. We also implemented silence detection using the root mean square of the audio and a threshold to filter out silence and noise. This works in realtime and automatically increments the number on the server for each cough so the data is ready when the server recalculates risk.
Backend Server
The backend was created with Node.js hosted on Amazon Web Services. The backend handles POST and GET requests from the app, hardware, and Raspberry Pi to enable full functionality and integrate each system component with one another for data transfer. All sensitive data is encrypted with BCrypt and stored on Google Firebase.
Risk Calculation
A novel algorithm was developed to predict the risk associated with each transportation line and user. Transportation line risk aggregates each rider’s risk, mask percentage, and the duration multiplied by a standard figure for transmission. User risk uses the number of rides and risk of each ride within the last 14 days. Because transportation line risk and user risk are connection, they create a conditional probability tree (Markov chain) that continually updates with each ride
Optimal Transportation Line and Seat
After the risk is calculated for each transportation line and user, algorithms were developed to pinpoint the optimal line/seat to minimize disease transmission risk. For optimal transportation lines, the lowest risk score for lines within user filters is highlighted. For optimal seat, the euclidean distance between other riders and their associated risk levels is summed for each empty seat, yielding the seat with the optimal score
Challenges we ran into
One challenge that we ran into when doing the audio analysis was generating the correct size of spectrogram for input into the first layer of the neural network as well as experimenting with the correct window size and first layer size to determine the best accuracy. We also ran into problems when connecting our hardware to the server through http requests. Once the RFID tag could be read using the MFRC522 reader, we needed to transfer the tag id to the server to cross reference with the user id. Connecting to a WiFi network, connecting to the server, and sending the request was challenging, but we eventually figured out the libraries to use and timing sequence to successfully send a request and parse the response.
Accomplishments that we're proud of
Within the 24 hour time period, we programmed over 3000 total lines of code and achieved full functionality in all components of the system. We are especially proud that we were able to complete the video/audio analysis for mask and cough detection. We implemented various machine learning models and analysis frameworks in python to analyze images and audio samples. We were also able to find and train the model on large data sets, yielding an accuracy of over 70%, a figure that can definitely increase with a larger data set. Lastly, we are also proud that we were able to integrate 5 distinct components of the system with one another through a central server despite working remotely with one another.
What we learned
One skill we really learned was how to work well as a team despite being apart. We all have experience working together in person at hackathons, but working apart was challenging, especially when we are working on so many distinct components and tying them together. We also learned how to implement machine learning and neural network models for video and audio analysis. While we specifically looked for masks and coughs, we can edit the code and train with different data sets to accomplish other tasks.
What's next for SafeTravels
We hope to touch up on our hardware design, improve our user experience, and strengthen our algorithms to the point where SafeTravels is commercially viable. While the core functionalities are fully functional, we still have work to do until it can be used by the public. However, we feel that SafeTravels can have massive implications in society today, especially during these challenging times. We hope to make an impact with our software and help people who truly need it.
Built With
c++
css
dart
html
javascript
kotlin
objective-c
python
ruby
swift
Try it out
github.com
safetravels.macrotechsolutions.us | SafeTravels | Restore confidence in safe public transportation | ['Sai Vedagiri', 'Gustav Hansen', 'Elias Wambugu', 'Arya Tschand'] | ['Best Hardware Hack presented by Digi-Key'] | ['c++', 'css', 'dart', 'html', 'javascript', 'kotlin', 'objective-c', 'python', 'ruby', 'swift'] | 33 |
9,949 | https://devpost.com/software/safer-browser | Inspiration
A lot of the video content on the web is mislabeled and mis-categorized, which makes it difficult for parents to select the age appropriate material for their kids, and wish if there was a real time video analysis tool that could detect inappropriate content.
What it does
Using machine learning the application can detect inappropriate scenes in a video and alert the viewer. this gives many parents, and content platforms, some peace of mind.
How I built it
Computer vision, Java, Android Studio
Challenges I ran into
the time it takes to analyze a video is usually long, had to manipulate frame rate to speed up the process
Accomplishments that I'm proud of
Democratizing this technology and making available to all smart tv owners, and content platform providers.
What I learned
Video analysis is resource intense process.
What's next for Safer Browser
The application will undergo a major UI/UX overhaul to make it more intuitive and user friendly.
There are many analysis that we can add, including analyzing the audio for inappropriate words and phrases, not to mention the huge application for advertising relevant to the scenes on the screen.
Built With
android
android-studio
java
Try it out
gitlab.com | Safer TV | Machine Learning for safer tv time for kids | [] | ['Honorable Mention for Best Overall (5)'] | ['android', 'android-studio', 'java'] | 34 |
9,949 | https://devpost.com/software/exercise-together | Live Video Streaming
Video Room
Youtube enabled
Live Data Syncing
Search Bar
Authentication
DynamoDB
Home
Inspiration
We know that physical activity and social interaction have immense benefits*. During lockdown, many people aren't able to go to the gym or see any of their friends in person. I wanted to create an app to help people get their endorphins up and see their gym buddies across the world.
*
https://www.cdc.gov/physicalactivity/basics/pa-health/index.htm
,
https://www.mercycare.org/bhs/services-programs/eap/resources/health-benefits-of-social-interaction/
What it does
Exercise Together is a web app that allows 3 people to share video while watching the same Youtube exercise class and log their exercise activity.
It works like this:
A user visits the website and either creates and account or logs in. Amazon Cognito is used for authentication.
Once authenticated, the user is directed to a dashboard depicting the amount of time spent exercising with Exercise Together.
The user clicks join room and enters a room name. Up to 3 of their friends enter the same name to join the same room.
The users enter a video chat room and can search for a Youtube exercise video together by utilizing the search bar. Once everything is ready, they click start exercise to begin!
When the video ends, the user returns to the dashboard and their time spent exercising is logged.
Exercise Together is helpful when you want to exercise with your friends and simulates an exercise class you could do at the gym like yoga or pilates. This way people can work out with their friends that are all over the world!
How I built it
I used react and redux to build the front end of the project. For the backend, I used Serverless functionality like Cognito, AWS Lambda, S3, DynamoDB, and App Sync. Cognito verifies the user so that I can log exercise data for every user separately. All data is stored in DynamoDB. When people enter a room, Agora.io livestreams everyone's video to each other, so they can see each other's faces while React is used to display everyone's video. Every change you make to the search bar or clicking a Youtube video is logged to DynamoDB and is logged to all the other clients in the same room through AppSync. As a result, everyone in the room can see the same view at the same time. When you finish the workout, the data is sent to DynamoDB with the email you logged in as the key for the data. On the dashboard, a get request is made back to DynamoDB, so that you can see your exercise data for the whole week.
Challenges I ran into
I used a wide variety of services in order to develop the application that I wasn't experienced with previously like Agora.io, AWS Amplify, and AWS AppSync. Learning them was difficult and I went through a lot of troubleshooting with those services in the code. Moreover, syncing all these services together into one application was a large challenge, and I kept trying different pieces of code one at a time to try to get them to work together.
Accomplishments that I'm proud of
I was able finally learn how to use web sockets (AWS AppSync uses web sockets), which I'm really excited to use for my future projects! Web sockets are especially crucial for online games, which I want to make.
What I learned
I learned how to use a multitude of services and link them together. For example, I learned web sockets, Agora.io, AWS Amplify, and AWS Appsync. All these services would be immensely useful for my fire projects, so I believed that I really benefited from creating this project.
What's next for Exercise Together
Some extensions I'd like to make include:
Adding Fitbit and Apple Health functionality so that users who use them can all see data logged onto the website.
Making a sidebar like to that people could use to see who is currently online out of their friends list and join a room with them. In order to implement that, I would have to use AWS Neptune, which uses the same technology that Facebook uses for Facebook Friends.
Creating a phone app using React Native. I feel that more people would like to use a phone app rather than the website.
There are still
many bugs
, especially with the video streaming since I'm using a third party API and a free account for it. For example:
The video streaming only works chrome.
Entering the video room with more than one person is a buggy process. The way I get it to work is by duplicating the tab for each user entering and closing the previous tab.
The Cognito verification link redirects to localhost, but will confirm the account.
Built With
agora.io
amplify
appsync
cognito
cookie
dynamodb
graphql
javascript
lambda
materialize-css
node.js
react
redux
s3
serverless
ses
websocket
Try it out
exercisetogether.rampotham.com
github.com
www.youtube.com | Exercise Together | Exercise Together is a webapp that simulates your own group fitness class online with your friends | ['ram potham'] | ['The Wolfram Award'] | ['agora.io', 'amplify', 'appsync', 'cognito', 'cookie', 'dynamodb', 'graphql', 'javascript', 'lambda', 'materialize-css', 'node.js', 'react', 'redux', 's3', 'serverless', 'ses', 'websocket'] | 35 |
9,949 | https://devpost.com/software/simple-payment-app | Inspiration: Creating a simple payment app on the Marqueta platform
What it does: Simple payment interface
How I built it: Using Marqueta API and Javascript
Challenges I ran into: Using Marqueta API and the encryption required for the product
Accomplishments that I'm proud of: Creating the final product
What I learned" Everything related to the Marqueta platform
What's next for Simple Payment App: Improve it further taking today's payment app challenges
Built With
api
java | Simple Payment App | To create a simple payment application on the Marqueta platform | ['Sandeep Chakravartty'] | [] | ['api', 'java'] | 36 |
9,949 | https://devpost.com/software/covidcentral-u21txv | Landing Page
Landing Page
Landing Page
Landing Page - Contact Us Section
Signup Page
Login Page
Content Summarizer
Comparison of 4 Types of Content Summarizer
Text Insights
Preprocessing
Inspiration
This year has been really cruel to humanity.
Australia is being ravaged by the worst wildfires seen in decades, Kobe Bryant’s passing
, and now this pandemic due to
the Novel Coronavirus
originated from the Hubei province (Wuhan) of China. Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus.
More than 3 million people
are affected by this deadly virus across the globe (Source: World O Meters). There have been around 249,014 deaths already and it’s counting. 100+ countries are affected by this virus so far. This is the biggest health crisis in the last many years.
Artificial Intelligence
has proved its usefulness in this time of crisis. The technology is one of the greatest soldiers the world could ever get in the fight against coronavirus. AI along with its subsets (Machine Learning) is leveraging significant innovation across several sectors and others as well to win against the pandemic. After
Anacode releases “The Covid-10 Public Media Dataset”
, we took this as an opportunity to use Natural Language Processing on those data composed of Articles. According to Anacode “It is a resource of over 40,000 online articles with full texts which were scraped from online media in the timespan since January 2020, focussed mainly on the non-medical aspects of COVID-19. The data will be updated weekly”. Anacode further says “We are sharing this dataset to help the data community explore the non-medical impacts of Covid-19, especially in terms of the social, political, economic, and technological dimensions. We also hope that this dataset will encourage more work on information-related issues such as disinformation, rumors, and fake news that shape the global response to the situation.”
Our team leveraged the power of NLP and Deep Learning and built
“CovidCentral”
, a PaaS
(Platform as a Service)
. We believe our solution can help media people, researchers, content creators, and everyone else who is reading and writing articles or any kind of content related to the COVID-19.
What it does
Our tagline says
“Stay central with NLP powered text analytics for COVID-19”. CovidCentral is one of its kind NLP driven platform for fast and accurate insights. It generates a summary and provides analytics of large amounts of social and editorial content related to COVID-19. STAY CENTRAL INSHORTS.
It does three things:
1.
CovidCentral platform can help to
understand large contexts related to COVID-19 in a matter of minutes.
Through the platform, Get actionable insights from hundreds of thousands of lines of texts in minutes. It generates an automated summary of large contents and provides word-by-word analytics of the texts from total word count to the meaning of each word. The user can either enter an URL to summarize and getting insights or enter the complete content directly into the platform.
2.
The large content of text data is hard to analyze. It is very difficult to analyze the large content of texts. CovidCentral can help people to get insights within minutes. Manual analysis of texts leads to a number of hours. Media people, researchers, or anyone who is having the internet can access our platform and
get the insights related to the COVID-19.
3.
Humans are lazy in nature and people want to save time. This platform can generate content’s summary within minutes via a single URL. CovidCentral uses NLP and Deep Learning technologies to provide an automated summary of texts. Very helpful for getting short facts related to the COVID-19.
Why Use CovidCentral?
1. Fast
2. Ease of Use (User-friendly)
3. High Accuracy
4. Secure (No content or data will be saved in the server rather we are sending NLP to you at the frontend.)
How we built it
We built CovidCentral using AI technologies, Cloud technologies, and web technologies. This platform uses NLP as a major technique and leverages several other tools and techniques. The major technologies are:
a. Core concept:
NLP (Spacy, Sumy, Gensim, NLTK)
b. Programming Languages:
Python and JavaScript
c. Web Technologies: HTML, CSS, Bootstrap, jQuery ( JS)
d. Database and related tools:
SQLITE3 and Firebase
(Google's mobile platform)
e. Cloud:
AWS
Below are the steps that will give you a high-level overview of the solution:
1. Data Collection and Preparation:
CovidCentral is built on mainly using “Covid-19 Public Media Dataset” by Anacode. A dataset for exploring the non-medical impacts of Covid-19. It is a resource of over 40,000 online articles with full texts related to COVID-19. The heart of this dataset are online articles in text form. The data is continuously scraped from a range of more than 20 high-impact blogs and news websites. There are 5 topic areas - general, business, finance, tech, and science.
Once we got the data, the next step is obviously “Text Preprocessing”. There are 3 main components of text preprocessing:
(a) Tokenization (b) Normalization (c) Noise Removal.
Tokenization
is a step that splits longer strings of text into smaller pieces, or tokens. Larger chunks of text can be tokenized into sentences, sentences can be tokenized into words, etc. Further processing is generally performed after a piece of text has been appropriately tokenized.
After tokenization, we performed
“Normalization”
because, before further processing, the text needs to be normalized. Normalization generally refers to a series of related tasks meant to put all text on a level playing field: converting all text to the same case (upper or lower), removing punctuation, converting numbers to their word equivalents, and so on. Normalization puts all words on equal footing and allows processing to proceed uniformly.
In the last step of our Text preprocessing, we performed
“Noise Removal”
. Noise removal is about removing characters digits and pieces of text that can interfere with your text analysis. Noise removal is one of the most essential text preprocessing steps.
2. Model Development:
We have used several NLP libraries and frameworks like Spacy, Sumy, Gensim, and NLTK. Apart from having a custom model, we are also using pre-trained models for the tasks. The basic workflow of creating our COVID related NLP based summarizer or analytics engine is like this: Text Preprocessing (remove stopwords, punctuation). Frequency table of words/Word Frequency Distribution – how many times each word appears in the document Score each sentence depending on the words it contains and the frequency table. Build a summary or text analytics engine by joining every sentence above a certain score limit.
3. Interface:
CovidCentral is a responsive platform that supports both i.e. Mobile and web. The frontend is built using web technologies like HTML, CSS, Bootstrap, JavaScript (TypeScript, and jQuery in this case). We have used a few libraries for validation and authentication.
On the backend part, it uses python microservice “Flask” for integrating the NLP models, SQLITE3 for handling the database, and Firebase for authentication and keeping records from the User forms.
4. Deployment:
After successfully integrating backend and frontend into a platform, we deployed CovidCentral on the cloud. It runs 24*7 on the cloud. We deployed our solution on
Amazon Web Services (AWS)
and use an EC-2 instance as a system configuration.
Challenges we ran into
Right now, the biggest challenge is “The Novel Coronavirus”. We are taking this as a challenge and not as an opportunity. Our team is working on several verticles whether it is medical imaging, surveillance, bioinformatics and CovidCentral to fight with this virus.
There were a few major challenges:
Time constraint
was a big challenge because we had very little time to develop this but we still pulled CovidCentral in this short span of time. The data which has more than 40K articles are pretty much messy, so
we got difficulties dealing with messy data
in the beginning but after learning how to handle that kind of data, we eliminated that challenge to some extent. We also got challenges while deploying our solution to the cloud but managed somehow to do that and still testing our platform and making it robust.
Accomplishments that we're proud of
Propelled by the modern technological innovations, data is to this century what oil was to the previous one. Today, our world is parachuted by the gathering and dissemination of huge amounts of data. In fact, the International Data Corporation (IDC) projects that the total amount of digital data circulating annually around the world would sprout from 4.4 zettabytes in 2013 to hit 180 zettabytes in 2025. That’s a lot of data!
With such a big amount of data circulating in the digital space, there is a need to develop machine learning algorithms that
can automatically shorten longer texts and deliver accurate summaries that can fluently pass the intended messages.
Furthermore, applying text summarization reduces reading time,
accelerates the process of researching for information, and increases the amount of information that can fit in an area.
We are proud of the development of CovidCentral and to make it Open Source so anyone can use it for free on any kind of device to get important facts related only to COVID-19.
What we learned
Learning is a continuous process of life, the pinnacle of the attitude and vision of the universe. I tell my young and dynamic team (Sneha and Supriya) to keep on learning every day.
In this lockdown situation, we are not able to meet each other but we learned how to work virtually in this kind of situation. Online meeting tools like Zoom in our case, GitHub, Slack, etc helped all of us in our team to collaborate and share our codes with each other.
We also
strengthen our skills in NLP (BERT, Spacy, NLTK, etc)
and how to integrate our models to the front-end for end-users. We spent a lot of time on the interface so people can use it and don’t get bored. From design to deployment, there were many things that helped us improve our skills technically.
We learn many things around us day by day. Since we are born, we learn many things, and going forward, we will add more relevant features by learning new concepts in our platform.
What's next for CovidCentral
We are adding features like “Fake News Detector” to spam fake news related to the COVID-19 very soon on our platform. CovidCentral’s aim is to help content creators, media people, researchers, etc to
only read that matters the most
in a quick time. APIs to be released soon so anyone who wants to add these features in their existing workflow or website can do it so they won’t need to use our platform rather they can just use our APIs.
We are also in discussion with
some text analytics companies to collaborate
and bring an even more feasible, robust, and accessible solution. In the near future, we will make CovidCentral an NLP powered text analytics platform in general for all kinds of text analytics for anyone, free to use from anywhere on any kind of devices (Mobile, Web, Tablet, etc).
Built With
amazon-web-services
bootstrap
css
firebase
flask
html
javascript
natural-language-processing
nltk
python
sqlite
Try it out
covidcentral.herokuapp.com | CovidCentral | CovidCentral is one of its kind NLP driven platform for fast and accurate insights. It generates a summary and provides analytics of large amounts of social and editorial content related to COVID-19. | [] | [] | ['amazon-web-services', 'bootstrap', 'css', 'firebase', 'flask', 'html', 'javascript', 'natural-language-processing', 'nltk', 'python', 'sqlite'] | 37 |
9,949 | https://devpost.com/software/biozene-interactive-bioinformatics | Why Biozene?
Problem Statement
Solution
Supports all kind of devices
Biozene will help in vaccine discovery
Benefits: Helps in decoding the DNA sequences of virus
Desktop View
Mobile View
Tablet View
Several Features
Data Visualization
View DNA features
Generate plot automatically
Generate Dot Plot between sequences
Mutation rate modelling
Amino acid frequency
Translation
Decode thousands of sequences within minutes
Decode thousands of sequences within minutes
DNA alignments and their scores
Amino acid frequency
Inspiration
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the causative agent for the Coronavirus Disease 2019 (COVID-19). Since its first detection in December 2019 the disease has engulfed almost the entire world by spreading over more than 100 countries that resulted in the above 352,294 deaths as of 25th May 2020. This highly infectious virus spread via respiratory droplets and aerosols when an uninfected person comes in contact with an infected one. Without any drug or vaccine at sight, the world is slowly succumbing to the disease. Therefore, researchers around the world have started collaborating and sharing their research data so that with concerted efforts a cure for the disease can be developed quickly. In this challenging scenario,
Bioinformatics came out as one of the essential tools to analyze viral data as it provides vital information about the genetic makeup of the virus and also assists directly in the development of drugs or vaccines against the deadly disease.
The COVID-19 pandemic is far from over, and there is worldwide research on the development of effective diagnostic methods as well as treatments and preventable vaccines.
We wanted to automate the overall process so we came up with a solution in free time.
We took this as a challenge more than an opportunity and developed a bioinformatics application “Biozene” for researchers/scientists/anyone who is working on the DNA sequences of the virus.
What it does
Biozene is a bioinformatics application for computational biology and to perform basic to advanced tasks in a short amount of time. This application is developed considering COVID-19 in mind to help researchers/scientists or anyone who is working to fight with the pandemic.
It is a data analysis application for integrated and interactive analytics on genomics to compute and compare millions of sequences of COVID-19 DNA sequences.
Biozene can help scientists decode the genome of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes COVID-19 disease.
This approach could help in drug identification and vaccine development.
Features of Biozene:
1. Represent and analyze DNA sequences
2. View DNA Features
3. Protein Synthesis Analysis (Translation, Transcription, Complement, Amino Acids generation, etc)
4. Generate Genome Diagrams
5. Mutation Rate Modeling
Benefits:
1. Helps Researchers/Scientists
2. Saves number of hours
3. Free to use and supports all kind of devices
How we built it
Biozene is a SaaS application which supports all kinds of devices (responsive). The application runs on the cloud and performs tasks in real-time. We have used end to end pipeline structure to build the solution. Starting from data mining to deployment, we have used several tools, frameworks, libraries, and languages. The core language behind Biozene is “Python” and supported by the Tornado engine as a server. Below are the techniques used to develop the app:
Data Analysis and Visualization: Pandas, Numpy, Matplotlib, Seaborn, etc.
Core Language: Python.
Supporting language: Markdown, JavaScript, Bootstrap, etc.
Main Library: Biopython, and Scikit-learn.
Cloud Technology and Server: AWS, Tornado, and, Streamlit.
Additionals Tools: Git, Anaconda, Colab, Instamojo, Putty, etc.
NCBI and the University of Edinburgh are the two platforms where we collected a lot of information about the bioinformatics tools and algorithms. Biozene currently supports the “FASTA” and “GenBank” files that are available on NCBI.
Challenges we ran into
The biggest challenge of this year is the “Novel Coronavirus” itself. Biozene is deployed on free dynos on a cloud service provider and the challenge we are facing is of funds at the moment. We are not able to scale up the infrastructures on the cloud. For preparing this production level application, we used free services.
In the coming days, we would like to enhance the features like integration of Databases, authentication, malware, better UX, etc and for those integrations, we will need to upgrade the cloud services.
Apart from that, we are really excited to bring Biozene in production to help our researchers/scientists.
Accomplishments that we're proud of
We have developed this application in a very short span of time. After developing the solution, we reached out to a
few reputed research institutes and labs in India
who are working on vaccine development. They really find our solution impactful and at the moment we are exploring the opportunity to build a partnership with them so they can use Biozene and other custom analytics-based solutions. We are proud of our team who have contributed to the development of the project.
What we learned
We took this pandemic as a challenge more than an opportunity. Biozene is one of our special projects and so far and we are really happy with the outcomes and response from the community. At the moment, India is incomplete lockdown and our young and dynamic team is working from home (remote). We learned the art of work in these lockdown situations. Apart from it, on the technical and development side, we learned awesome-streamlit which is going to revolutionize the AI/ML domain in the next few months. The production level deployment also helped us learn new concepts like adding domains, add-ons, custom pipelines, etc. Learning is a continuous process and we will keep on learning going forward.
What's next for Biozene: Interactive Bioinformatics
We are adding more features in a few upcoming days to provide a robust and feasible tool to the bioinformatics community who is working to battle the deadly virus.
Coming Soon:
- Run Blast
- Machine Learning Modeling (Cluster and Regression Analysis)
- Phylogenetics and sequence motifs
Biozene is free to use so anyone can use it by their convenience. We are also developing a customized paid solution. Apart from the development, we are optimistic about the collaboration with the research labs here in India to accelerate their COVID-19-related R&D activities with Biozene and related custom solutions. We are committed and dedicated to work with anyone who is working to fight with COVID-19 to support their COVID-19 related research and discovery efforts using AI, ML, and Bioinformatics technologies.
Built With
amazon-web-services
anaconda
biopython
bootstrap
git
google-colab
javascript
markdown
matplotlib
numpy
pandas
putty
python
scikit-learn
seaborn
streamlit
tornado
Try it out
biozene.online
drive.google.com | Biozene: Interactive Bioinformatics Application for COVID-19 | Biozene is bioinformatic application for interactive analytics on genomics to compute and compare DNA sequences to speed up the vaccine discovery by reading the genetic structure of the viruses. | [] | [] | ['amazon-web-services', 'anaconda', 'biopython', 'bootstrap', 'git', 'google-colab', 'javascript', 'markdown', 'matplotlib', 'numpy', 'pandas', 'putty', 'python', 'scikit-learn', 'seaborn', 'streamlit', 'tornado'] | 38 |
9,949 | https://devpost.com/software/wecare-5l9dgi | Home Screen of app, which allows you to report your symptoms, check the status of your circle, and get daily personalized tips.
Map Screen of app, which allows you to see hotspots around you and your Care Circle.
Care Circle screen of app, which allows you to health conditions of your loved ones.
Web interface, which can be used to update the symptoms. It is synced with the app.
New logo.
Update with a key.
Hotspots for countries.
Options from the start.
Questions about your health.
Hot spots.
App design
As the outbreak of COVID-19 continues to spread throughout the entire world, more stringent containment measures from social distancing to city closure are being put into place, greatly stressing people we care about. To address the outbreak, there have been many ad hoc solutions for symptom tracking (e.g.,
UK app
), contact tracing (e.g.,
PPEP-PT
), and environmental risk dashboards (
covidmap
). However, these fragmented solutions may lead to false risk communication to citizens, while violating the privacy, adding extra layers of pressure to authorities and public health, and are not effective to follow the conditions of our cared ones. Unless being mandatory, we did not observe the large-scale adoption of these technologies by the crowd. Until now, there is no privacy-preserving platform in the world to 1) let us follow the health conditions of our cared ones, 2) use a statistically rigorous live hotspots mapping to visualize current potential risks around localities based on available and important factors (environment, contacts, and symptoms) so the community can stay safer while resuming their normal life, and 3) collect accurate information for policymakers to better plan their limited resources.
Such a unified solution would help many families who are not able to see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. These urgent needs would remain for many months given that the quarantine conditions may be in place for the upcoming months, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and COVID-19 potential reappearance next year at a smaller scale (like seasonal flu). There is still uncertain information about immunity after being infected and recovered from COVID-19. Therefore, it is of paramount importance to address them using an easy-to-use and privacy-preserving solution that helps individuals, governments, and public health authorities.
WeCare Solution
WeCare is a cross-platform app that enables you to track the health status of your loved ones. Individuals can add their family members and friends to a Care Circle and track their health status and get personalized daily updates on best prevention practices. In particular, individuals can opt-in to fill a simple questionnaire, supervised by our epidemiologist team member, about their symptoms, comorbidities, and demographic information. The app then tracks their location and informs them of potential hotspots for them and for vulnerable populations over a live map, built using opt-in reports of individuals. Moreover, symptoms of individuals will be tracked frequently to enable sending a notification to the Care Circle and health authorities once the conditions get more severe. We have also designed a citizen point, where individuals get badges based on their contributions to solving pandemic by daily checkup, staying healthy, avoiding highly risky zones, protecting vulnerable groups, and sharing their anonymous data.
WeCare includes a contact tracing module that follows the guidelines of Decentralized Pan-European Privacy-Preserving Proximity Tracing
(PEPP-PT)
. It is an international collaboration of top European universities and research institutes to ensure the safety and privacy of individuals.
What we have done during the weekend
Have been in contact with other channels in Brazil and Chile.
We have updated the pitch (extended), app-design and backend connection of the app this week. New contacts with Chile and Singapore. We have also made some translation work with the app. Shared more on social media about the project and also connected to more people on slack and LinkedIn. We have also modified the concept of Care Circle and how to add/remove individuals. Now, the app is very easy-to-use with minimal input (less than a minute per day) from the user. We are proud of the achievements of our team, given the very limited time and all the challenges.
Challenges we ran into
The Hackathon brought together plenty of people of different expertise and skills. There were challenges that we faced that were very unique, as we faced a variety of communication platforms on top of open-source development tools.
Online Slack workspaces and Zoom meetings and webinars presented challenges in forms of inactive team members, cross-communications, and information bombardment in several separate threads and channels in Slack and online meetings of strangers that are coordinated across different time zones. In developing the website and app for user input data, our next challenge was in preserving the privacy of user information.
In the development of a live hotspot map, our biggest challenge here was to ensure we do not misrepresent risk and prediction into our live mapping models.
Also for the testing of the iOS version, we ran to the new restriction of App Store for COVID-related apps, which should be backed up by some health authorities or governmental entities.
The solution’s impact on the crisis
We believe that WeCare would help many families who can see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. The ability to check up on their Care Circle and the hotspots around them substantially reduces the stress level and enables a much more effective and safer re-opening of the communities. Also, individuals can have a better understanding of the COVID-19 situation in their local neighbourhood, which is of paramount importance but not available today.
The live hotspot map enables many people of at-risk groups to have their daily walk and exercise, which are essential to improve their immunity system, yet sadly almost impossible today in many countries.
The concept of Care Circle motivates many people to invite a few others to monitor their symptoms on a daily basis (incentivized also through badges and notifications) and take more effective prevention practices.
Thereby, WeCare enables everyone to make important contributions toward addressing the crisis.
Moreover, data sharing would enable a better visual mapping model for public assessment, but also better data collection for the public health authorities and policymakers to make more informed decisions.
The necessities to continue the project
We plan to continue the project and fully develop the app. However, to realize the vision of WeCare we need the followings:
Public support: a partnership with authorities and potentially being a part of government services to be able to deploy it on AppStore. It also makes WeCare more legitimate. This would increase the level of reporting and therefore having a better overview and control of the crisis.
Social acceptance: though being confirmed using a small customer survey, we need more people to use the WeCare app and share their data, to build a better live risk map. We would also appreciate more fine-grained data from the health authorities, including the number of infected cases in small city zones and municipalities.
Resources: So far, we are voluntarily (and happily) paying for the costs of the servers. Given that all the services of the app and website would be free, we may need some support to run the services in the long-run.
The value of your solution(s) after the crisis
The quarantine conditions and strict isolation policies may still be in place for upcoming months and year, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and possible COVID-19 reappearance next year at a smaller scale (like seasonal flu).
Therefore, we believe that WeCare is a sustainable solution and remains very valuable after the current COVID-19 crisis.
The URL to the prototype
We believe in open science and open-source developments. You can find all the codes and documentation (so far) at our
Website
.
Github repo
.
Pitch:
https://youtu.be/7fMrVqxoPKY
Pitch extended version:
https://youtu.be/Vo0gs3WlptU
Other channels.
https://www.facebook.com/wecareteamsweden
https://www.instagram.com/wecare_team
https://www.linkedin.com/company/42699280
https://youtu.be/_4wAGCkwInw
(new app demo 2020-05)
Interview:
https://www.ingenjoren.se/2020/04/29/de-jobbar-pa-fritiden-med-en-svensk-smittspridnings-app
Built With
node.js
python
react
vue.js
Try it out
www.covidmap.se
github.com | WeCare | WeCare is a privacy-preserving app & page that keeps you & your family safer. You can track the health status of your cared ones & use a live hotspot map to start your normal life while staying safer. | ['Alex Zinenko', 'Sina Molavipour', 'Ania Johansson', 'Hossein S. Ghadikolaei', 'Christian M', 'Seunghoon HAN', 'Tomasz Przybyłek', 'Mohamed Hany', 'Alireza Mehrsina'] | ['1st Place Overall Winners', '2nd Place'] | ['node.js', 'python', 'react', 'vue.js'] | 39 |
9,949 | https://devpost.com/software/covnatic-covid-19-ai-diagnosis-platform | Landing Page
Login Page
Segmentation of Infected Areas in a CT Scan
Check Suspects using Unique Identification Number (New Suspect)
Check Suspects using Unique Identification Number (Old Suspect)
Suspect Data Entry
COVID-19 Suspect Detector
Upload Chest X-ray
Result: COVID-19 Negative
Upload CT Scan
Result: Suspected COVID-19
Realtime Dashboard
Realtime Dashboard
Realtime Dashboard
View all the Suspects (Keep and track the progress of suspects)
Suspect Details View
Automated Segmentation of the infected areas inside CT Scans caused by Novel Coronavirus
Process flow of locating the affected areas
U-net (VGG weights) architecture for locating the affected areas
Segmentation Results
Detected COVID-19 Positive
Detected Normal
Detected COVID-19 Positive
Detected COVID-19 Positive
GIF
Located infected areas inside lungs caused by the Novel Coronavirus
Endorsement from Govt. Of Telengana, Hyderabad, India
Endorsement from Govt. Of Telengana, Hyderabad, India
Generate Report: COVID-19 Possibility
Generate Report: Normal Case
Generated PDF Report
Inspiration
The total number of Coronavirus cases is
2,661,506 worldwide
(Source: World o Meters). The cases are increasing day by day and the curve is not ready to flatten, that’s really sad!! Right now the virus is in the community-transmission stage and rapid testing is the only option to battle with the virus. McMarvin took this opportunity as a challenge and built AI Solution to provide a tool to our doctors. McMarvin is a DeepTech startup in medical artificial intelligence using AI technologies to develop tools for better patient care, quality control, health management, and scientific research.
There is a current epidemic in the world due to the Novel Coronavirus and here
there are limited testing kits for RT-PCR and Lab testing
. There have been reports that kits are showing variations in their results and false positives are heavily increasing.
Early detection using Chest CT can be an alternative to detect the COVID-19 suspects.
For this reason, our team worked day and night to develop an application which can help radiologist and doctors by automatically detect and locate the infected areas inside the lungs using medical scan i.e. chest CT scans.
The inspirations are as below:
1. Limited kit-based testings due to limited resources
2. RT-PCR is not as much as accurate in many countries (recently in India)
3. RT-PCR test can’t exactly locate the infections inside the lungs
AI-based medical imaging screening assessment is seen as one of the promising techniques that might lift some of the heavyweights of the doctors’ shoulders.
What it does
Our COVID-19 AI diagnosis platform is a fully secured cloud based application to detect COVID-19 patients using chest X-ray and CT Scans. Our solution has a centralized Database (like a mini-EHR) for Corona suspects and patients. Each and every record will be saved in the database (hospital wise).
Following are the features of our product:
Artificial Intelligence to screen suspects using CT Scans and Chest X-Rays.
AI-based detection and
segmentation & localization of infected areas inside the lungs
in chest CT.
Smart Analytics Dashboard
(Hospital Wise) to view all the updated screening details.
Centralized database (only for COVID-19 suspects) to
keep the record of suspects and track their progress
after every time they get screened.
PDF Reports,
DICOM Supports
, Guidelines, Documentation, Customer Support, etc.
Fully secured platform
(Both On-Premise and Cloud)
with the privacy policy under healthcare data guidelines.
Get Report within Seconds
Our main objective is to provide a research-oriented tool to alleviate the pressure from doctors and assist them using AI-enabled smart analytics platform so they can
“SAVE TIME”
and
“SAVE LIVES”
in the critical stages (Stage-3 or 4).
Followings are the benefits:
1. Real-world data on risks and benefits:
The use of routinely collected data from suspect/patient allows assessment of the benefits and risks of different medical treatments, as well as the relative effectiveness of medicines in the real world.
2. Studies can be carried out quickly:
Studies based on real-world data (RWD) are faster to conduct than randomized controlled trials (RCTs). The Novel Coronavirus infected patients’ data will help in the research and upcoming such outbreak in the future.
3. Speed and Time:
One of the major advantages of the AI-system is speed. More conventional methods can take longer to process due to the increase in demand. However, with the AI application, radiologists can identify and prioritize the suspects.
How we built it
Our solution is built using the following major technologies:
1. Deep Learning and Computer Vision
2. Cloud Services (Azure in this case)
3. Microservices (Flask in this case)
4. DESKTOP GUIs like Tkinter
5. Docker and Kubernetes
6. JavaScript for the frontend features
7. DICOM APIs
I will be breaking the complete solution into the following steps:
1. Data Preparation:
We collected more than 2000 medical scans i.e. chest CT and X-rays of 500+ COVID-19 suspects around the European countries and from open source radiology data platform. We then performed validation and labeling of CT findings with the help of advisors and domain experts who are doctors with 20+ experience. You can get more information in team section on our site. After carefully data-preprocessing and labeling, we moved to model preparation.
2. Model Development:
We built several algorithms for testing our model. We started with CNN for classifier and checked the score in different metrics because creating a COVID-19 classifier is not an easy task because of variations that can cause bias while giving the results. We then used U-net for segmentation and got a very impressive accuracy and got a good IoU metrics score. For the detection of COVID-19 suspects, we have used a CNN architecture and for segmentation we have used U-net architecture. We have achieved 94% accuracy on training dataset and 89.4% on test data. For false positive and other metrics, please go through our files.
3. Deployment:
After training the model and validating with our doctors, we prepared our solutions in two different formats i.e. cloud-based solution and on-premise solution. We are using EC-2 instance on AWS for our cloud-based solution.
Our platform will only help and not replace the healthcare professionals so they can make quick decisions in critical situations.
Challenges we ran into
There are always a few challenges when you innovate something new. The biggest challenge is “The Novel Coronavirus” itself.
One of the challenge is “Validated data” from different demographics and CT machines.
Due to the lockdown in the country, we are not able to meet and discuss it with several other radiologists. We are working virtually to build innovative solutions but as of now, we are having very limited resources.
Accomplishments that we're proud of
We are in regular touch with the State Government (Telangana, Hyderabad Government). Our team presented the project to the Health Minister Office and helping them in stage-3 and 4.
Following accomplishments we are proud of:
1. 1 Patent (IP) filled
2. 2 research paper
3. Partnership with several startups
4. In touch with several doctors who are working with COVID-19 patients. Also discussing with Research Institutes for R&D
What we learned
Learning is a continuous process. Our team learnt
"the art of working in lockdown"
. We worked virtually to develop this application to help our government and people. The other learning part was to take our proof of concept to the local administration for trails. All these “Government Procedures” like writing Research Proposal, Meeting with the Officials, etc was for the first time and we learned several protocols to work with the government.
What's next for M-VIC19: McMarvin Vision Imaging for COVID19
Our research is still going on and our solution is now endorsed by
the Health Ministry of Telangana
. We have presented our project to
the government of Telangana for a clinical trail
. So the next thing is that we are looking for trail with hospitals and research Institutes. On the solution side, we are adding more labeled data under the supervision of Doctors who are working with COVID-19 patients in India. Features like
Bio-metric verification, Trigger mechanism to send notification to patients and command room
, etc are under consideration. There is always scope of improvement and AI is the technology which learns on top of data. Overall, we are dedicated to take this solution into real world production for our doctors or CT and X-rays manufacturers so they can use it to fight with the deadly virus.
Built With
amazon-web-services
flask
google-cloud
javascript
keras
nvidia
opencv
python
sqlite
tensorflow
Try it out
m-vic19.com | M-VIC19: McMarvin Vision Imaging for COVID19 | M-VIC19 is an AI Diagnosis platform is to help hospitals screen suspects and automatically locate the infected areas inside the lungs caused by the Novel Coronavirus using chest radiographs. | [] | ['1st Place Overall Winners', 'Third Place - Donation to cause or non-profit organization involved in fighting the COVID crisis'] | ['amazon-web-services', 'flask', 'google-cloud', 'javascript', 'keras', 'nvidia', 'opencv', 'python', 'sqlite', 'tensorflow'] | 40 |
9,949 | https://devpost.com/software/patient-health-history-record-system-jp2bei | Screens Shots
I work at Universidade Federal Fluminense in Brazil, state of Rio de Janeiro. We have developed a project for the public health area that aims to serve the poorest population. The project deals with the management of historical patient data. The idea is to develop a Data Lake (a repository of structured, semi-structured and unstructured data) that stores patient data. The advantage of Data Lake is that it is possible to associate with structured data (an existing database), unstructured data such as exam images, etc. In addition, it is possible to apply machine learning techniques to this data. It is a data integration environment without all the cost of multidimensional databases such as Data Warehouses and Data Marts. From that Data Lake, the plan is to develop a system that is able to manage / query the data. In short, an updated, reliable, secure and managed database with data and information by patients and their doctors. The use of Data Lake technology means that this project can be used anywhere in the world in the same way. Finally, we can use public health in disease control in a coordinated way worldwide and directly help those who need it most in times of pandemic, in addition to being able to project future disease outbreaks through artificial intelligence and mathematical projection models. we seek agreements with government universities interested in exchange. My linkedin:
https://www.linkedin.com/in/jose-alexandro-acha-gomes-415b00198/
Built With
datalake
flutter
mysql
opensource
Try it out
www.linkedin.com | Patient Health History Record System | Computer systems based on patient information | ['Jose Alexandro Acha Gomes'] | [] | ['datalake', 'flutter', 'mysql', 'opensource'] | 41 |
9,949 | https://devpost.com/software/remote-elderly-home-care-via-privacy-preserving-surveillance-6etr18 | Privacy preserving face detection at home
Plug and Play AI Device Discovery
Ambianic Home Page
Person Detection Indoors
Person Detection Outdoors
Inspiration
COVID19 isolated at home many of us, including our elderly parents and grandparents. Not being able to check on them regularly elevates the risks that they are exposed to such as falls, gas leaks, flooding, fire and others.
What it does
Ambianic.ai is an end-to-end Open Source Ambient Intelligence project that removes the stigma associated with surveillance systems by implementing privacy preserving algorithms in three critical layers:
Peer-to-Peer Remote access
Local device AI inference and training
Local data storage
Ambianic.ai observes a target environment and alerts users for events of interest. Data us only available to homeowners and their family. User data is never sent to any third party cloud servers.
Here is a blog post that goes into the reasons why we started this project:
https://blog.ambianic.ai/2020/02/05/pnp.html
And here is a technical deep dive article published in WebRTCHacks. It clarifies that it is absolutely possible to build a privacy preserving surveillance system, despite popular cloud vendors making us believe that all user data belongs safely on their cloud servers:
https://webrtchacks.com/private-home-surveillance-with-the-webrtc-datachannel/
How we built it
Ambianic.ai has 3 main components:
Ambianic.ai Edge: a Python application designed to run on an IoT Edge device such as a Raspberry Pi or a NUC. It attaches to video cameras and other sensors to gather input. It then runs inference pipelines using AI models that detect events of interest such as objects, people and other triggers.
Ambianic.ai UI: A Progressive Web App written in Javascript using Vue.js and other front end frameworks to deliver an intuitive timeline of events to the end user.
Ambianic.ai PnP: A plug-and-play framework that allows Ambianic UI and Ambianic Edge to discover each other seamlessly and communicate over secure peer-to-peer protocol using WebRTC APIs.
Challenges we ran into
Challenges include selecting high performance, high accuracy and low latency AI models to detect events of interest on resource constraint edge devices.
Another challenge is taking into account user local data to fine tune AI models. Pre-trained models can perform reasonably well, but they can be improved with privacy preserving federated learning on unique new local data.
Accomplishments that we're proud of
Ambianic.ai has been in public Beta for several weeks helping a number of users in their daily lives. Some users report success in keeping an eye on their elderly family members:
https://twitter.com/mchapman671/status/1230931722650423299
What we learned
Although the project sets ambitious goals, there seem to be sufficient enabling Open Source frameworks and community momentum to drive the ongoing success.
What's next for Remote Elderly Home Care via Privacy Preserving Surveillance
We need to work on these major areas:
Recruit volunteers in the home care community to test the system and provide feedback
Select more models to address open use cases such as fall detection, gas leaks and others
Work on implementing Federated Learning infrastructure to fine tune initial pre-trained models.
Built With
javascript
pwa
python
raspberry-pi
tensorflow
webrtc
Try it out
docs.ambianic.ai | Remote Elderly Home Care via Privacy Preserving Surveillance | COVID19 isolated at home many of us, including our elderly family members. Left unattended they are prone to risks such as falls, gas leaks, flooding, fire and others. | ['Yana Vasileva', 'Björn Kristensson Alfsson', 'Ivelin Ivanov'] | [] | ['javascript', 'pwa', 'python', 'raspberry-pi', 'tensorflow', 'webrtc'] | 42 |
9,951 | https://devpost.com/software/pandoconnect | PandoConnect
A platform created to share the experience of those Covid19 survivors. In such a time when we browse about this virus and only get to see how it is affecting us badly every day, this platform will help to boost up the mental strength of people all over the globe. Over here anyone who is potentially a Covid19 patient or has recovered from it can help people get aware of the virus by sharing their experience and positive thoughts. People who might not be a patient but are someway connected to them can also post over here, this will help people remain connected to each other globally. If you are neither a patient nor a survivor nor even a close acquaintance to them, don't worry you can also come here and view these blogs. These blogs can any day spread positivity that we can share in these times of crisis.
When all we have right now is search and get distressed about the situation around us, this platform will help you fight back by seeing how people have globally fought back this invisible enemy. This platform which is meant for connecting and sharing the experience of Covid19 patients can give you hints about how you can stay safe and sound during this difficult time. It will help you remain cautious about the surroundings and take proper measures to combat this virus.
A Sentiment Score will be given to every post using the Real-time Machine Learning Model which will help the Reader of the blogs to see which story got which emotions and how much.
Demo
Click here for demo
or you can also check the links given below
Inspiration
The world is now unanimously fighting an invisible enemy, an enemy that cannot be overpowered with any weapon but by collectively staying away from each other. As of today, the number of active cases globally stands somewhere near 3.5 million and if we consider an average of 2 family members for each active patient then the total is about 10 million. These are the minimum count of people who is going through mental stress right now.
Features
• Sentiment Analysis.
• Capabilities to Connect users all over the globe for one cause that is fighting COVID 19.
• Capabilities to Sharing motivating stories.
• Built with Ionic and ReactJs.
• Deployed in Firebase.
• Database Firestore by Google Cloud Platform and it is realtime.
• Google Cloud Storage for Image Upload
• Responsive Design
• Progressive Web Application
• Hybrid Application
How I built it
It is built using Ionic & ReactJs. Firebase with Google Cloud is used for Database, Cloud Storage, and Deployment.
Challenges I ran into
I faced a few challenges in making the upload image functionality in the blog submit as this was my first time with GCP.
Accomplishments that I'm proud of
I have completed most of the application in 2 weeks.
What I learned
This is the First time I have used Ionic. So, It was a great learning experience.
What's next for PandoConnect
• Adding Sentiment Analysis using Machine Learning Models to give a score to blogs.
• Login with Email and Password apart from Google login.
• Enhancement of User Interactiaction.
• Mobile application as it is built on a hybrid framework. ie. Ionic.
• Reaching out to more Survivors to share their stories.
Built With
css
firebase
html
ionic
javascript
react
typescript
Try it out
github.com
pandoconnect-c9991.web.app | PandoConnect | This platform is created to share the experience of Covid 19 survivors. This platform will help to boost up the mental strength of people all over the globe. | ['Sourav Dey'] | ['The Wolfram Award'] | ['css', 'firebase', 'html', 'ionic', 'javascript', 'react', 'typescript'] | 0 |
9,951 | https://devpost.com/software/cope-with-covid | Our Welcome Screen with the logo
Home Screen: We will be designing an AR game to this app later on.
Social Distancing tips for teens
You can choose what type of tips you want!
Mindfulness tips for Young Adults
Theme: Social Good/Social-Emotional
Inspiration:
The Covid-19 pandemic has impacted everyone and has most likely caused lots of stress for a lot of people. We have seen many apps that are designed to display Covid-19 information or help screen people to see if they may or may not have the virus. But there isn't an app designed to help people cope with the stress that this pandemic has created. So we decided to create a social-emotional app aimed to help people deal with being in quarantine and managing the stress related to the pandemic.
What it does:
Cope with Covid gives people tips on how to deal with Covid-19 pandemic. You can choose from a variety of topics and then select an age group to get information specifically targeted towards that age group. Tips are meant for anyone and the information is provided in a thoughtful manner meant to reduce anxiety.
How we built it:
We built this using Xcode and Swift. We started by coming up with a UI for the app. We wanted something that looked fun and would appeal to people of all ages. After having the UI designed in Figma we started designing it in Xcode using storyboards. This was relatively simple and using Xcode storyboards allowed us to create IBoutlets and IBactions to handle button presses, changing label text etc. After linking the UI to our code we split up and one person researched information to put into the app while someone else actually programmed it.
Challenges we ran into:
The biggest challenge was figuring out the logic to display specific information related to whatever the user clicked on. In the end we created a struct in Swift to handle this, which worked out pretty well. Another challenge was creating scroll views that worked properly. Our main programmer didn't have a lot of experience using scroll views but in the end they figured it out.
Accomplishments that we're proud of:
Creating a working app during the Hackathon that can be helpful to people around the world.
What we learned:
We learned how to research better, plan projects and follow through as well as learning some new programming techniques and image editing.
What's next for Cope With Covid:
We would like to add an AR game to the app to make it more entertaining because playing games can be a great stress reliever. We would also like to crowdsource and research more tips and information to give users more info that they can use. As well as setting up a notification feature that would give the user tips right from their home screen.
Built With
swift
uikit
xcode
Try it out
github.com | Cope With Covid | Learn Healthy ways to cope with the pandemic. | ['PZR Labs', 'Mo Chen', 'Trisha Ganesh'] | ['The Wolfram Award'] | ['swift', 'uikit', 'xcode'] | 1 |
9,951 | https://devpost.com/software/social-distancing-supervision-system-sdss | Social Distacing Supervision System
Coronavirus quick-spreading has forced nations to use all tricks in the book to contain it. A wide range of technologies has been used in their fight against the global pandemic, from applications that collect data to track the spread of the virus to 3D printed ventilators for hospitals.
As Ray Kurzweil said technology is the only thing that helped us overcome our problems, we use our tools to extend our range of possibilities, our minds, and our "mindwares", and as the philosophers, Andy Clark and David Chalmers talk about technology as a scaffolding that extends our thoughts, our reach, and our .
Driven by our passion for technology and with the increasing number of Coronavirus infections and the limited testing resources worldwide, flattening the curve is only achievable through collaborative efforts and social distancing became a necessity to survive.
Social distancing implies changing our day-to-day routine to reduce close contact with others. While general social distancing's rules are easy to maintain on sidewalks, it can be more stressful for business owners in job sites and grocery stores. Moreover, it complicates the government's responsibility to crowded active institutions and public places.
On this matter, we will address the problem of unmonitored crowds during the Hackathon by developing the SDSS as the abbreviation of the Social Supervision System. It is a real-time software based on image processing to spot crowd density. The system will take as input real-life videos from different crowded places to analyze, identify, and report the measured distance status between presented individuals in the given frame. As a result, an alert will be sent to the supervisor in case of distance violation. Thus, preserving the social rules promoted by the world health organization.
Teamwork makes the dream work, but sometimes it can be a challenge. Especially when successful teamwork is all about connecting with teammates, and with a common goal or purpose. While remote work is physically possible, it’s not the optimal way for our team to engage.
As our daily lives are disrupted, we have learned to build our own routine and create a remote work ambiance and find time to laugh with each other. Communicating through a digital medium without shared physical context made developing the project more challenging especially with breaking up connectivity every once and a while, but we have managed to re-read what we wrote and what we explained and we have always ensured that all team members are on the same page and no assumptions were slipped through without noticing and those little tricks make a world of difference.
And eventually what we must learn and keep in mind is that we are at a pivotal point in history because now we've decommissioned natural selection, and we are now the chief agents of evolution and we have to maintain this position with all our collective efforts.
Our strong and endless will lies within the next steps with what we are planning for SDSS. That includes improving its ability for crowd detection and faster alerts. We also would like to build a Web and Mobile application to extend our use cases to make it useful by not only governments and business owners but also by simple individuals.
Built With
angular.js
opencv
python
Try it out
github.com | Social Distancing Supervision System (SDSS) | Our application provides real-time distance monitoring between individuals for fast identification and quick prevention of social distancing violations in crowds. | ['Wassim Khorchef', 'Ameni Charradi'] | ['First Place', 'The Wolfram Award'] | ['angular.js', 'opencv', 'python'] | 2 |
9,951 | https://devpost.com/software/eztravel | Inspiration
One of our team members, Bhavya had won the grand prize at an APAC-level hackathon and he got a chance to go to a startup conference in Barcelona this summer. But due to the pandemic, it was canceled. Now, Bhavya is not sure if he’ll go even if the conference is next year. We realized this would be the case for many travelers, both leisure and business. One of the major problems would be making travelers gain the confidence to travel again.
We decided to do something to encourage people to travel, by assuring them of safety.
Problems Tackled
Hygiene & Health
Hack the very definition of travel in ways that address the health concerns long after the COVID-19 slowdown has passed. These inventions must demonstrate how the well-being of travelers and businesses is preserved or improved during travel rather than put at risk.
Sustainability & Relief
With pre-pandemic travel practices as your starting point, and new business models and social/environmental impacts as your guide, invent new responsible, socially impactful products and services that drive exceptional travel experiences and economic growth. Also, with public health and employment concerns at the forefront now, demonstrate how your invention measurably enhances economic conditions in regional and local destinations around the world.
What it does
We have created software services for hotels, airports, parks, restaurants, museums, theatres, and other enclosed private tourist spots. Our system will automatically detect whether people are following social distancing and whether they are wearing masks or not, from CCTV footage. The owners of the place will be alerted if someone is not following the rules.
These places can advertise that they’re using an automated system to ensure safety, and this will attract more tourists.
The other facet of our solution is an Android app for travelers/tourists. Users can pick a destination and a date of interest. We will show them the updates of that area, and give the estimated number of cases. This estimation is based on a predictive ML model.
This will help users make an informed decision and they can postpone their trip well in advance, without losing out money on cancellation charges. This will also help air travel companies and hotels, who have to bear losses if a person cancels their stay.
How we built it
We have taken a sample recording of the CCTV camera footage. An image processing model detects and classifies various bounding boxes based on the distance between people in the video. Also, we have the Mask detection algorithm which was built using CNN and it checks whether people are wearing a mask or not and creates a bounding box around the face. So the viewer knows the number of people violating the norms.
These models were built in Python.
The website for private owners (of the hotel, market, tourist spot) was built using React, Firebase, and Node. The mobile app for users (tourists) was built using the Android Studio and Firebase.
Challenges we ran into
Data Privacy was the one challenge we encountered during this Hackathon. However, the service which we will be providing will enable the private tourist places to analyze the data and count the number of people maintaining the social distancing norms without giving any private information of the person from the CCTV frames. In the future, we plan to add a pipeline which will blur the faces of the people present to provide an even safer and secure service.
Accomplishments that we're proud of
We are proud of the fact that our project will help many travelers, both leisure and business in the aftermath of this pandemic. We will be providing one of the major strengths to travelers that is gaining confidence to travel again. We are really happy to be part of the change that will boost & encourage people to travel safely.
Technolgy used
We have used Machine learning to detect if people are following COVID19 norms- social distancing and wearing masks. We have used the YOLO model to detect people. Once that task is achieved we have calculated the euclidean distance between the bounding boxes(output of the ML model). We check if the distance has been above a threshold that we have defined. If so, we attribute such a group of people with a red bounding box. For mask detection, we have made a custom CNN model wherein we have annotated the mask image and trained the convolutional neural network for the mask image. The model detects the presence of masks in the frame and draws a bounding box around it.
For COVID19 trend prediction, we have used data of a place named Mumbai in India. We have used Recurrent neural networks(RNN) for such prediction because of the fact it can remember past trends and predict future trends on the basis of past knowledge.
For the website, React, Node, and Firebase were used. For mobile apps, Android Studio, Google SDK, Covid19 API, and Firebase were used.
What's next for EZTravel
The next plan would be to host our entire application on the cloud. The ML models and the backend will be deployed on the cloud. In phase 1, we would like to try out this solution locally. We will tie-up with local hotel chains and tourist spots in Mumbai and devise a basic billing plan to start earning revenue. We will also release our app for tourists on the play store. After these iterations and learning from the results, we would like to partner with more places and or a company like Trivago which can in turn sell these services to its partners.
Try it out
github.com | EZTravel | Making people confident to travel again safely. | ['Bhavya Meghnani', 'Shruti Rampure', 'Siddhant Kumar', 'Vedant Kumar'] | ['The Wolfram Award'] | [] | 3 |
9,951 | https://devpost.com/software/ask-watson | Chatbot integrations can be stand alone or via Slack, FaceBook, and more ...
You can try your chatbot while programming it ...
Verify your hard wired answers!
Ask about the numbers via api calls
Add a new intend node related to financial assistance
Add a node related to reopening questins
Starting your conversation via a web-link
Ask about the current status of the pandemic
Ask about financial assistance information
Learn about the reopening process in California
What is Covid19 and what do we know about it?
How many people are infected in Europe?
how about Italy?
what are the financial packages in Texas?
is Texas ready for reopening of businesses?
When is reopening Phase 2 for California coming?
Inspiration
With the beginning of the year, 2020 began the biggest pandemic of our modern times. The COVID-19 situation is constantly changing. The news is rapidly updated while the answers to Frequently Asked Questions are becoming much more well defined. Initially, people were asking questions about the virus and how it is spreading. The lockdown/shelter in place has devastated many businesses and a few months ago people and businesses began asking questions about financial assistance and help. With the beginning of the reopening of the economy, people are now interested in understanding the phases and local policies and often need current and up-to-date information available on their small phone screens. Since smartphones are the most common devices used by practically everyone we have decided on the building of an adaptive chatbot that can provide relevant and current answers based on news sources and frequently asked questions.
What it does
It takes your a question and identifies its intent which determines which AI engines will be used to provide you with an answer.
How I built it
IBM Watson assistant identifies the intent of the conversation statement, then processes it using three main categories: hardwired well-known FAQ about the pandemic, reopening intend is processed with a call to a Google Custom Search Engine, while financial assistance and any other topics are answered using the IBM Discovery News
Challenges I ran into
We intended to demonstrate the chatbot integration via Slack and FaceBook along with the webpage demo. Unfortunately, facebook has put on hold any integrations to their Messenger app by individuals.
First time Node js programing to process the API calls to Google and Watson ect. Fixing the location system entity since IBM has decided to retire it. Had to give up the US state abbreviations for state entities since the Assistant often takes "... in ..." to be equivalent to Indiana.
Accomplishments that I'm proud of
Have learned how to prepare intends and entities with synonyms and to do Node js programing to interface with three external api services: Johns Hopkins CSSE, Watson Discovery News, and Google custom search engine.
What I learned
There are constant changes - solutions that were working yesterday may not work today.
What's next for Ask Gwlatson
Building an Android and iOS dedicated apps and integrations with other AI engines.
Built With
google
ibm-discovery-news
ibm-watson
watson-assistant
Try it out
web-chat.global.assistant.watson.cloud.ibm.com
github.com
developer.ibm.com | Ask Gwlatson | Deliver relevant answers to the evolving COVID19 pandemic | ['Srujana Munamala', 'bohanchen Chen', 'Veso VGG-Consulting', 'Peter Carrasco', 'Don T'] | ['The Wolfram Award'] | ['google', 'ibm-discovery-news', 'ibm-watson', 'watson-assistant'] | 4 |
9,951 | https://devpost.com/software/test-project-fej821 | PreCon AR
Inspiration
In this current situation, people are still struggling to adapt and doing daily activities. The government enforces some rules and gives suggestions for the public, so that people can deal with this problem. But, there are many people who still underestimate the fast transmission of COVID-19, disobey the rules, ignore the advice and those who aren’t sure which shouldn’t be done, etc
What it does
Using Augmented Reality (AR), we made PreCon (Prevent Contagious) in order to help the public in experiencing real life situations inside AR. The app helps to educate people on how to prevent this virus from being transmitted. Inside the training simulation, people will interact with the virtual environment and learn how they should act accordingly, because the important thing is to prevent something bad from happening to us rather than try to cure it. Since all the events happen inside the virtual world, this training simulation is safe to use by everyone.
Beside AR training simulation, there are still several features that PreCon have. Here all the feature of this app :
AR Training Simulation. Experience real life training simulation and interact with the object inside the virtual world.
Advice from WHO with easy to learn illustration step by step.
AR Selfie. Take a selfie photo with a mask and face shield.
COVID-19 status all around the world.
Intelligent assistant to provide us some answer about everything.
How I built it
Unity as our main tools for making the application.
Using C# Language.
ARFoundation to provide the Augmented Reality technology.
Postman public API.
Wolfram Alpha API as Intelligent Assistant.
echoAR to provide a flexibility for 3D object and real-time info update.
Challenges I ran into
I need to find more information about Augmented Reality also do trial and error, sometimes makes me overwhelmed.
Accomplishments that I'm proud of
This project actually. Somehow proud that I can be part of "helping others" in this pandemic with my own way. Especially helping medical team to prevent other people being infected. Helping people with Extended Reality technologies are something that really change the views of AR/VR/MR application.
What I learned
From this project, I'm more learn new things about AR, how to solve problem, how to adapt to the new things, also more exploring about COVID19 also for my self I'm learning more about what should we do and should't. More exploring some advice for being healthy during this pandemic.
Also learn about how to integrate my application with Wolfram and echoAR system.
What's next for test project
Adding more training case inside the current application. Also if we can really continue with this project, we maybe will try to do Virtual Reality Training Simulation, so it can be more immersive to do a training.
Built With
android
api
arcore
arfoundation
c#
echoar
speech-recognition
unity-technologies
wolfram-technologies
Try it out
precon.rgplays.com | PreCon (Prevent Contagious) AR - AR Training Simulation | Educate people using Augmented Reality, more like training simulation about how to react to this current situation, to keep them healthy by give them example, virtually. This way can be more safety. | ['Maynard Lumiu', 'Steven Sean', 'Mario P'] | ['2nd Place', 'The Wolfram Award', 'Best Project using echoAR'] | ['android', 'api', 'arcore', 'arfoundation', 'c#', 'echoar', 'speech-recognition', 'unity-technologies', 'wolfram-technologies'] | 5 |
9,951 | https://devpost.com/software/eye-can-code | Home page.
List of tutorials provided.
Simple print("hello").
More complex function.
Inspiration
With the recent COVID-19 pandemic, students worldwide have transitioned to online schooling. For some students, however, the transition has been harder than for others. Near where Veer lives is the oldest school for blind students: Perkins School for the Blind. Veer had always wanted to help them, and, during these times, he decided to help them when they needed it more than ever. Together, Veer and Saber worked on an online platform dedicated for the blind and targeted for Veer and Saber's favourite lesson: programming.
According to the National Federation of the Blind, COVID-19 has had a disproportionate impact on the blind, with many facing additional challenges during the pandemic. From an education standpoint, blind students and blind parents face uncertainty about the types of electronic materials they will be expected to use for the remainder of the academic year, making it hard for them to keep up with classes. Lastly, it is difficult for the visually impaired to learn how to code on their computer, a challenge which has been exacerbated by the pandemic.
What it does
We built a text editor which can listen to speech, translate it to Python code, and then run the code in a console. The platform is complete with an academy to teach blind students how to code, with lessons in variable types, for loops, if loops, functions, etc.
We used natural language processing to:
Allow the visually impaired to code in python by simply speaking
Provide a handful of python tutorials with voice and speech recognition features to effectively teach coding to people with visual impairments
Create an online platform for the visually impaired to learn
How we built it
We used:
Flask
HTML, CSS, and JS
Python
Natural Language Processing
Google Cloud Speech API
Challenges we ran into
We at first parsed the code in Python. However, when connecting it to the JS, it was incredibly laggy and didn't update in real time. Therefore, we had to translate all the Python code into JS which was tedious. In addition, SpeechRecognition only worked on one teammate's computer and not the other, which caused a lot of debugging to occur.
Accomplishments that we're proud of
We're really proud that our product is actually working for others to use. Not only did we complete a text editor, but we also got the academy working, which was great.
What we learned
We learnt how to use speech recognition and execute the code in string form. One of our teammates learned how to deploy code to Heroku and link it to a domain. We also learned more about linking JS with Python, especially for real-time work.
What's next for Eye Can Code
We want to make more aspects of our website audio to further help make it accessible for the blind. Afterwards, we hope to have the platform available for all to use.
Built With
css3
flask
google-cloud
google-web-speech-api
html5
javascript
natural-language-processing
python
Try it out
github.com
eyecancode.online | Eye Can Code | An online platform built with a speech-to-text python code editor for the visually impaired to learn coding | ['Shreya C', 'Veer Gadodia'] | ['The Wolfram Award', '1st Place Award', 'Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro'] | ['css3', 'flask', 'google-cloud', 'google-web-speech-api', 'html5', 'javascript', 'natural-language-processing', 'python'] | 6 |
9,951 | https://devpost.com/software/covid19-kit | dashboard
please check video for the features of the app
booking an appointment with the proctor/ faculty
project and document submission
creating channels for online teaching and mentorship
please check the mentioned github repo for the App. This app is for caretakers of patients with serebral pasly and people on wheelchais.
body temperature, heart rate, alarm functionality with data stored in the cloud database.
dues and assignments
messaging services
online proctored tests
Inspiration
During online classes, many students verbally harass the teachers and students of the class. This spoils the whole environment of the class, So we decided to block these students using speech recognition technology.
Then we all must have seen that delivering the things without contact has become a major problem, therefore we designed a hand gesture moving messenger who deliver things to Covid19 infected people in care centers.
What it does
The first part is a
remote education
android app which resolves all the problems stated above. It contains all the features a student will want in his/her app. We tried to involve every activity that we use to do in offline college times in this App. It consists of
Video call functionality
with a special feature of blocking students who are speaking abusive or bad words during a live session. The student will be reported to the admin of the app and all the records of the blocked student will be sent to the admin app. Admin can unblock the student again. Then our app contains a
chat room
for each classroom a student is enrolled in, it will allow the students and teachers to communicate as they use to do in Offline College. Then comes the appointment feature. Before contacting any teacher we have to make an appointment with him/her to ask for their time. So our App includes this cool feature of
appointment
for the students. This reduces the chaos and brings the working thing so that follows proper protocol. Teachers wanted an invigilation system to invigilate students during the test. In our App, we provided this feature by
camera proctored examination
feature. Under this a teacher can proctor all students through their webcams while the students are giving tests, also the teacher can pass their voice in the whole class to
convey messages
during tests. Also, our app has a feature of
assignment submission
. The teachers can upload the assignment questions along with the due date and students on the other hand can upload the solutions of these tests on the app itself.
How I built it
We used the android studio to build a remote education app. For backend, we used firebase realtime database. For identification of abusive words we used IBM speech to text services to convert the speech of the students in text and then we used this text in the loop to find whether he is abusing or not. We took the dataset of abusive words from Kaggle and gitHub.
For our IoT bot, we used the hand gesture sensor and on the basis of the gesture, the robocare bot will move and deliver thing to patients. It can also be used as a wheelchair.
Challenges I ran into
We faced many challenges like detecting and blocking students who speak the abusive language during the live class. We wanted to make something that everyone can relate with offline college activities. Therefore, we need proper planning and structure. The assignment section needed a proper structure to be executed.
Teachers all over the globe wanted a platform for cheat-proof examination. Our challenge was to make a cam proctored examination with cheat-proof features like on leaving the test you can not re-enter it.
Accomplishments that I'm proud of
We are proud of our abusive language detector system which blocks users when they speak bad words. Also, the structure we made is highly related to offline day to day activities. Our cam proctored test system is awesome, and it restricts the user from cheating and helps the invigilator to invigilate during a test.
What I learned
We learned, how to work with the realtime database, how to use IBM's speech to text services to detect abusive words. In this pandemic situation, we learned the complete use of GitHub and how to collaborate our work with teammates. Also, we learned some new IoT features which helped us to make the robocare bot.
What's next for Covid19 Kit
For future aspects we are planning to make a complete, general messenger system for private and government offices which they can use to share files, letters, assigning task and doing all other stuffs which people do in offline office hours.
Built With
android-studio
arduino
e-learning
education.com
firebase
ibm-watson
iot
Try it out
github.com
drive.google.com
drive.google.com | Covid19 Kit | An android app, an IoT device, and a Covid19 tracker, a complete kit for students, doctors, patients, and common people. An IoT bot to follow social distancing practices. | ['Ayush Sharma', 'Elio Jordan Lopes', 'Shaolin Kataria', 'Ritik Gupta', 'DEVANSH MEHTA'] | ['The Wolfram Award'] | ['android-studio', 'arduino', 'e-learning', 'education.com', 'firebase', 'ibm-watson', 'iot'] | 7 |
9,951 | https://devpost.com/software/socialdistancer | Social Distancer
This app keeps people 6 feet away
This simple but useful App uses your iPhone’s camera to alert you when someone is within your six-foot safety zone.
Click on the App and your front camera opens as you point it at anyone nearby. If someone is within 6 feet, the box around the person turns red. If the person is more than 6 feet away (approximately 2 meters), the the box around the person turns green.
How to use
Hold phone horizontally while directed at people. If the box around a person is green, they are beyond 6 feet from you. If the box around a person is red, they are within 6 feet of you.
If there is no box when the camera is pointed at a person, than the camera does not see the person clear enough.
Works best when the target person is standing.
How Does it Work?
Social Distancer was created in Xcode and Android studio using Swift and Java. They both use the YOLO Object detection model to track people. When the camera sees a person, the app estimates the distance of the person based off of the size of the person in pixels.
Releases
Apple version can be demoed here:
https://ariwasch.applivery.io/social-distancer
Android version can be demoed here:
https://play.google.com/store/apps/details?id=org.microincorporated.socialdistancer
NOTE
Social Distancer was taken down from the app store after Apple introduced new policies to prevent the spread of false information of Covid-19. That means no social distancing or Covid-19 related apps are allowed to be published by individuals. If anyone who is reading this is part of a recognized institution (hospital, government agency, university) and would be willing to publish it, the developers of both the Apple and Android version would be willing to do so.
Additionally, we are willing to donate a majority of the ad revenue to Covid-19 relief efforts once both apps are published.
Contact us
For more information, email
[email protected]
or
[email protected]
Prerequisites
You need an Android device and Android development environment with minimum API 21.
Android Studio 3.2 or later.
Built With
java
Try it out
github.com
play.google.com
microsyncinc.github.io
ariwasch.applivery.io
github.com | Social Distancer | This simple but useful App uses your phone’s camera to alert you when someone is within your six-foot safety zone. | ['Lincoln Doney', 'Ari Wasch'] | ['The Wolfram Award', 'First Place - Covid Track'] | ['java'] | 8 |
9,951 | https://devpost.com/software/zero-contact-uav-bot | Ardu Pilot Software
AA Interactive Form to collect Input
UAV Weather Forecast For Pre-Flight Checks
Mission Planner
UAV / Drone Taking off
Access Database for Logging
Sky Vector for logging Aeronautical chart
Code snippet in step level (MainTask)
Code snippet (Sub Task Module) for Input
Inspiration
The Novel Corona-virus has affected humanity in various ways, be it our economy, our freedom of movement, and the loss of loved ones. Something that struck me was elderly people having to wait in a queue for medicines at an outlet. Even though there are home delivery services, the risk of infection is extremely high as this job requires you to move around places at a higher rate and I recollected news of people infected by pizza delivery agents / Swiggy agents throughout India on multiple occasions. The Lockdown definitely has slowed down the infection rates but we are forgetting that all essential services are not contactless. That's when I decided to create a solution to this by using a Drone / UAV to Deliver essentials and medicines primarily for the vulnerable among us so that we ensure they are safe, Drones are usually manually remote-controlled by a pilot. Me myself being an aerospace engineer with focus on Avionics and with Automation Anywhere. I decided to use an AutoPilot Mission Planner to write coded commands to the Flight controller in order to make the Flight Autonomous and deliver the essential package and return home.
From the News
Bengaluru on superspreader alert after delivery boy tests positive
-
Click here to read
83-year-old man collapses while waiting in New World queue in New Lynn
-
Click here to read
Features in a nutshell
Interactive User input
Database Logging
Autonomous UAV Flight
Automated Pre Flight Checks
Address to Geo Coordinates conversion
Distance, Payload release altitude Calculation
AutoPilot Command creation (Flight Plan)
Payload Delivery (Essential package Delivery)
Scalability
What it does
The Bot collects the delivery address and input data using Interactive forms and converts the address string into location coordinates using Geocoding API and uses Python Script to calculate the Flight Distance using Haversine Formula based on the range of the UAV and Performs Pre-Flight Checks such as Wind speed, Temperature, Precipitation Probability, Cloud Cover, Visibility and more. It also checks for any nearby airport and logs the Aeronautical charts for the way-points using Sky Vector web service. It then Sends Flight information to the DGCA for Flying permission via API. It then calculates the payload release altitude based on logic using the Indian regulatory guidelines for construction. Finally, the bot compiles this information to create a flight plan command and uses the Mission Planner which is Ground Control Software to write the code into the Flight controller AutoPilot using a wireless transmitter and launches the UAV on its mission. While doing this each flight is tracked by a unique flight control number and logged to a database for future audit and compliance purposes and folder is created with Logs, charts, and autopilot code. Hence this Bot enables users to completely automate the Pre-Flight processes and automate the creation of code for Autonomous UAV Flight which will Deliver the payload (Essential Package) at the desired location and return back home and complete the mission. This makes the complete process contactless and safe. Hence serving the essential needs of the most vulnerable and reducing the infection rate.
How I built it
This RPA Solution is Built on Automation Anywhere A2019 and integrates with various technology as mentioned below, which is the real beauty of RPA.
Microsoft Bing Geocoding API
Python 3.8.3
Ardu Pilot Mission Planner ( with wireless transmitter )
Interactive Forms
UAV Forecast Service
Sky Vector Chart Service
DGCA API
Microsoft Access Database
UAV / Drone & Payload release mechanism
Challenges I ran into
One of the challenges was to use complex mathematical formulae using Python to derive certain parameters. However, the Python Package on A2019 made it really easy to call Python functions inside and code and get the output. Also creating a waypoint plan for the Autopilot was initially a challenge however using the product documentation I was able to create the flight plans using Log to file package making all the values dynamic.
Accomplishments that I'm proud of
I am happy that I was able to use my academic knowledge in Aerospace, my work expertise in Robotic Process Automation, and my curiosity to explore new possibilities in creating this solution which can help the world in this traumatic situation. I am also happy that I was able to bring out the true sense of Anywhere in the name "Automation Anywhere".
What I learned
It was indeed a great experience to develop this bot with a lot of research, trial & error and new learnings. I was able to start off with Python and I'm looking forward to trying out further possibilities.
What's next for Zero Contact UAV Bot
The RPA solution can be scaled up for usage with Queue (WLM) and to further improvise and add on more features. To make the solution more independent we can have a "Raspberry Pi" attached to the drone and connected to the Flight controller and the Internet. We can install AA Bot agent on the Raspberry Pi running windows and we can remotely deploy the automation considering the Drone as a bot runner with wings ;). This drone will be a fully automated solution for an Autonomous Flight using Robotic Process Automation as the base Technolgy.
Other areas of usage
Delivery Services
Search and Rescue Facilities
Climbers and Firefighters
Mine and Oil Industry
Military and Gaurd Services
Disaster Relief Services
Built With
api
ardupilot
automationanywhere
autonomousuav
flightcontroller
geocodingapi
missionplanner
payloadreleasemechanism
python
skyvector
uavforcast
Try it out
github.com | Zero Contact - Essentials Delivery UAV Bot | The Bot creates and executes an Autonomous Flight Plan for a UAV / Drone based on Guidelines for Contact less Delivery of Essential commodities during the pandemic. | ['Manuel Varghese Philip'] | ['The Wolfram Award', 'First prize', 'Gold'] | ['api', 'ardupilot', 'automationanywhere', 'autonomousuav', 'flightcontroller', 'geocodingapi', 'missionplanner', 'payloadreleasemechanism', 'python', 'skyvector', 'uavforcast'] | 9 |
9,951 | https://devpost.com/software/brillbox-ugvmcf | You can make BrillBox at home too! Just follow the schematic.
GIF
Dirt, germs, and viruses can get stuck on the surface of the mask
Arduino Nano close up
LCD close up
Resistive Ballast
Aluminum foil layer
Introduction
With the shortage of PPE in hospitals and masks surging in price on online delivery sites, the public has resorted to taking their own initiative to protect themselves. This initiative has primarily become prevalent with anyone that has 3-D printers or sewing equipment. With organizations such as Helpful Engineering creating and certifying 3-D printed mask designs, they help set the standard of safety in the D.I.Y PPE community. Yet, how does the public know if their masks are still safe after a certain amount of uses? Our mouths are essentially a vacuum, sucking up surrounding particulates. When an N-95 mask is worn, these particulates get sucked towards our faces only to be stopped by the mask. Over time, germs, dirt, and viruses will populate themselves onto the surface, turning it into a health hazard to anyone that touches it.
This same question can also apply to essential workers’ clothing, as these employees are at work for most - if not all - days of the week. During their long shifts, their clothes will not only pick up grime like everyone else's, but also bacteria and viruses that are floating around in the air or multiplying on countertops and furniture.
Even with consistent wash-and-dry techniques, the virus may still be present on clothes, homemade masks, and other fabrics that humans have frequent, skin-based contact with. Thus, there is a need for the general public to have access to a way to clean their PPE from dirt and grime but also from germs and viruses. This is where BrillBox comes in.
Purpose & Motivation
With the surge of COVID-19, there has also been a huge spike in demand for PPE, most notably masks. This increase in demand quickly left pharmacy shelves bare of surgical and N-95 masks. To solve this, mask producing companies such as 3M and Honeywell have sought it to increase their production of PPE. This tactic, although simple in nature, will do very little to stifle the demand of masks. Instead, the solution to the lack of PPE is finding a way to constantly reuse it.
Likewise, in respect to frontline workers, constant washing and steaming of clothes is not efficient nor convenient. As for at-home mask makers, the materials used in a mask may typically derive from materials such as cloths and paper-based filters. It is immediately obvious that these materials will degrade after continuous washing, prompting the user to require more masks and more PPE.
These issues can be easily solved by using a sterilizer, which can destroy germs and viruses that may be present on the surface. Although this technology is widely used in labs it costs far too much for the average user to buy (a lab sterilizer hovers around $7000). Besides this, currently, there is no commercially available sterilizer meant to clean PPE and masks.
With all this said, it is immediately obvious that to extend PPE supply, save hospital workers time, and find a way to reuse non-washable filters, we need a cheap, user-friendly sterilizer.
How BrillBox Works
It is a well-known fact in biology that UV radiation breaks down DNA and RNA, eradicating germs, and viruses. Knowing this, all that is needed to sanitize PPE is a concentrated amount of UV for 15 minutes.
To achieve this, Brillbox uses off-the-shelf germicidal bulbs operating in the 264nm range. This wavelength has been tested to be the most efficient at destroying RNA. From there, all that is needed is a special control circuit that will be able to turn the bulbs on and off. This controller comprises of an Arduino Nano, a voltage regulator, a resistive ballast, and a relay, among other miscellaneous parts. Likewise, the control circuit also interfaces with the UI of the box, which is simply two buttons, a buzzer, and an LCD display.
The schematic for the entire project is linked in the gallery (above)
Cost
Due to the simplicity of the design, the entire box costs about $12 to produce and is able to sanitize up to 160,000 masks before needing to replace the germicidal bulbs.
The cost of each individual component is as follows:
Arduino Nano -
$1.70
Buzzer -
12¢
LCD Display -
$2
Buttons (2) -
50¢
Germicidal Bulbs (2) -
$8
Cardboard Box -
Free
Aluminum Foil -
30¢
Relay -
50¢
Reed Switch + Small Magnet -
8¢
Total: $11.20
Note:
The 160,000 comes from the following calculations:
The bulbs last for an average of 50,000 hours or 300,000 minutes.
Each mask requires at most, 15 minutes to sterilize.
8 surgical masks can be sterilized at the same time.
(300,000/15)*8 =160,000
A Note on Safety
Brillbox is designed with safety in mind.
Using UV germicidal bulbs, it is obvious that users may first feel apprehensive of the product. This apprehension is understandable but the Brillbox team has done many things to increase user safety.
Brillbox uses 264 nm UV waves, a subset of the UV-C range. Although UV is able to cause skin cancer, the
UV-C range is not the wavelength associated with skin cancer
(UV-A to UV-B). Likewise, the bulbs used in Brillbox are low power (3 watts), a small fraction compared to the
175 watts that reach the Earth from the Sun
. This means that, in direct contact with the skin, the UV-C will have little affect for short periods of time.
It is also important to point out that UV does not have the same properties as Alpha or Gamma particles. UV waves can be reflected by certain materials, most notably water, glass, and aluminum. To contain the radiation, the inside of the box is lined with two layers of aluminum foil, helping to reflect the UV rays towards the masks. This increases both the efficiency of the box and as well as keeping users safe from potential contact.
Ozone may also be a concern as many UV sanitation devices produce the dangerous gas to increase sanitation efficiency. Although this would benefit Brillbox, ozone, when inhaled, can trigger
asthma attacks, chest pain, coughing, and other respiratory complications
. Thus, the Brillbox team has opted to use ozone-free bulbs to users from potential ingestion.
Last but not least, if the Brillbox lid is ever opened during operation, the control circuit will instantly turn off the UV bulb. This is to ensure that the user will never come in contact with the UV present in the device.
Overall, the team at Brillbox has done extensive research on UV sanitization. The team has taken all the necessary steps to prevent any complications from happening, protecting the user, loved ones, pets, and anyone else that uses Brillbox.
Difficulties and Challenges Faced
There were many challenges that the Brillbox team had to overcome to arrive at where we are today. For instance, our team went over 2 different ideas to get to the idea of sanitizing PPE.
Our first idea was to utilize small particles to measure the efficiency of a mask, which evolved to using a laser that has the same wavelength as the diameter of COVID-19 (60-140nm). The basic principle is to measure how much light is able to pass through the mask in question. From there, we are able to calculate how small the holes are in the mask and how effective it would be in the medical setting. This project fell through because the wavelength needed (60-140nm) is in the high end of the UV range, and in a laser form, would pose a health risk to anyone that is not an optics professional.
Our second idea was to make an enclosed mask, kinda like a scuba mask, that will isolate the user from the outside environment. It would use the hot side of a Peltier module to kill incoming bacteria and viruses, and on the cold side, would generate a climate-controlled environment. This would essentially mean the user would have A/C in his mask, keeping the user cool throughout the day. The main application for this mask would be hospital workers who have to operate on patients for 8+ hours a day. Keeping cool is a necessity for them, however, this idea fell through simply because Peltier modules are unable to reach the 100° needed to destroy proteins at an affordable price point.
Besides going through multiple ideas trying to get the UV bulbs to work was extremely tiresome and laborious. Bought off of Amazon, the UV bulbs lack any substantial documentation. Therefore, we had to experiment with different resistive ballasts to prevent the bulb from burning itself out.
Another challenge was writing up the documentation and creating the video has been a very stressful process. As the bulk of the team are high schoolers, this hackathon happened right as finals and AP testing started to kick in. This ate away our time, leaving us only 5 days to write up everything.
Edit:
It is with a heavy heart that I write this but it seems that my teammates have ditched me. My teammates promised to help write the documentation, which they wrote the first two paragraphs but disappeared ever since. This is why only one person is listed in the Devpost despite continuously referring to the BrillBox team. I, Kevin Yang, simply assumed that they were taking a break from the screen so I continued to write using “we” and “team”.
This obviously has its own challenge (I had to do the bulk of the project).
Market Evaluation
As said earlier, this product is the only commercially available sterilizer to date. With its simple UI, low price, high user safety, combined with the increased demand for masks, BrillBox is a viable product.
First and foremost, Brillbox is designed to be manufactured on a large scale. The control circuitry can be easily turned into a PCB and the UV bulbs are in-large supply. This means BrillBox is both cheap to make and always in ready supply.
Likewise, Brillbox is flexible, able to change form factors depending on the user's needs. If a hospital needs to clean hundreds of masks a day, BrillBox can be easily re-designed to hold a high volume of masks in a dense space, still using the same base controller. If the home user requires only a mask to be cleaned twice a week, a smaller, more compact BrillBox can be made.
Besides flexibility, BrillBox is designed with user safety in mind. As said earlier, the BrillBox team has done their research and has developed a way to safely contain UV light in a box, protecting user’s families, pets, and more. As well, BrillBox can be easily approved by the FDA as it already expounds on best practices seen in lab sterilizers and other commercial UV products such as toothbrush and HVAC cleaners.
Improvements
A product can always be improved. With BrillBox, there are a few minor things that need to be improved in later models.
The first issue is the aluminum foil inside. As the foil layer was done by hand, the aluminum is not as smooth as the team would like. The only consequence of this is a decrease in sanitization efficiency. The un-smooth aluminum foil does not have any effect on the safety of the box.
Likewise, another improvement is using a plastic housing instead of a cardboard box. Although cardboard is cheap and lightweight, it is not as strong as plastic and thus, can be prone to breaking. The reason why Brillbox was constructed using a cardboard box was simply due to a lack of supplies and an inability to get a large, plastic box.
Another change would be to run the UV bulbs on AC and not DC. The UV bulbs used in BrillBox are some of the most efficient on the market (~40% of the bulb's energy comes out as UV), yet they are currently being run at ½ its rated efficiency. This is simply because the box is driving them using DC whilst they are normally driven off of AC. The reason is simply I did not have access to an AC supply that could power the bulbs.
The last notable change to Brillbox would be replacing the resistive ballast circuitry with an electric ballast. This would help increase the efficiency of BrillBox as the resistive ballast converts any unneeded current into heat.
Conclusion
All in all, with Brillbox, users can say goodbye to the days of handwashing masks or going to the store to buy a box of N-95’s. Brillbox is cheap enough, flexible enough, and safe enough to be used by everyone. With the prototype only costing $11.20 to make, combined with the demand for more PPE and masks, BrillBox will supply the people a product they have been needing for so long.
Whats Next?
Many say that the COVID-19 pandemic is slowly dying down, but I think the opposite. If we look at the states (in the U.S) that have reopened, many of them have had a huge surge in cases. This is why we need a product such as BrillBox. As long as COVID-19 exists, which will be a while, people will need PPE. BrillBox allows people to reuse their PPE, allowing them to consume less and extend their diminishing supply.
With that said, I hope to make BrillBox a fully-fledged consumer product aimed towards at-home users such as families.
Built With
arduino
electronics
hardware
liquidcrystal
nano
relay
sensors
Try it out
github.com | BrillBox | Revolutionizing How We Sanitize | ['Kevin Yang'] | ['The Wolfram Award', 'Most Innovative Hack'] | ['arduino', 'electronics', 'hardware', 'liquidcrystal', 'nano', 'relay', 'sensors'] | 10 |
9,951 | https://devpost.com/software/exercise-together | Live Video Streaming
Video Room
Youtube enabled
Live Data Syncing
Search Bar
Authentication
DynamoDB
Home
Inspiration
We know that physical activity and social interaction have immense benefits*. During lockdown, many people aren't able to go to the gym or see any of their friends in person. I wanted to create an app to help people get their endorphins up and see their gym buddies across the world.
*
https://www.cdc.gov/physicalactivity/basics/pa-health/index.htm
,
https://www.mercycare.org/bhs/services-programs/eap/resources/health-benefits-of-social-interaction/
What it does
Exercise Together is a web app that allows 3 people to share video while watching the same Youtube exercise class and log their exercise activity.
It works like this:
A user visits the website and either creates and account or logs in. Amazon Cognito is used for authentication.
Once authenticated, the user is directed to a dashboard depicting the amount of time spent exercising with Exercise Together.
The user clicks join room and enters a room name. Up to 3 of their friends enter the same name to join the same room.
The users enter a video chat room and can search for a Youtube exercise video together by utilizing the search bar. Once everything is ready, they click start exercise to begin!
When the video ends, the user returns to the dashboard and their time spent exercising is logged.
Exercise Together is helpful when you want to exercise with your friends and simulates an exercise class you could do at the gym like yoga or pilates. This way people can work out with their friends that are all over the world!
How I built it
I used react and redux to build the front end of the project. For the backend, I used Serverless functionality like Cognito, AWS Lambda, S3, DynamoDB, and App Sync. Cognito verifies the user so that I can log exercise data for every user separately. All data is stored in DynamoDB. When people enter a room, Agora.io livestreams everyone's video to each other, so they can see each other's faces while React is used to display everyone's video. Every change you make to the search bar or clicking a Youtube video is logged to DynamoDB and is logged to all the other clients in the same room through AppSync. As a result, everyone in the room can see the same view at the same time. When you finish the workout, the data is sent to DynamoDB with the email you logged in as the key for the data. On the dashboard, a get request is made back to DynamoDB, so that you can see your exercise data for the whole week.
Challenges I ran into
I used a wide variety of services in order to develop the application that I wasn't experienced with previously like Agora.io, AWS Amplify, and AWS AppSync. Learning them was difficult and I went through a lot of troubleshooting with those services in the code. Moreover, syncing all these services together into one application was a large challenge, and I kept trying different pieces of code one at a time to try to get them to work together.
Accomplishments that I'm proud of
I was able finally learn how to use web sockets (AWS AppSync uses web sockets), which I'm really excited to use for my future projects! Web sockets are especially crucial for online games, which I want to make.
What I learned
I learned how to use a multitude of services and link them together. For example, I learned web sockets, Agora.io, AWS Amplify, and AWS Appsync. All these services would be immensely useful for my fire projects, so I believed that I really benefited from creating this project.
What's next for Exercise Together
Some extensions I'd like to make include:
Adding Fitbit and Apple Health functionality so that users who use them can all see data logged onto the website.
Making a sidebar like to that people could use to see who is currently online out of their friends list and join a room with them. In order to implement that, I would have to use AWS Neptune, which uses the same technology that Facebook uses for Facebook Friends.
Creating a phone app using React Native. I feel that more people would like to use a phone app rather than the website.
There are still
many bugs
, especially with the video streaming since I'm using a third party API and a free account for it. For example:
The video streaming only works chrome.
Entering the video room with more than one person is a buggy process. The way I get it to work is by duplicating the tab for each user entering and closing the previous tab.
The Cognito verification link redirects to localhost, but will confirm the account.
Built With
agora.io
amplify
appsync
cognito
cookie
dynamodb
graphql
javascript
lambda
materialize-css
node.js
react
redux
s3
serverless
ses
websocket
Try it out
exercisetogether.rampotham.com
github.com
www.youtube.com | Exercise Together | Exercise Together is a webapp that simulates your own group fitness class online with your friends | ['ram potham'] | ['The Wolfram Award'] | ['agora.io', 'amplify', 'appsync', 'cognito', 'cookie', 'dynamodb', 'graphql', 'javascript', 'lambda', 'materialize-css', 'node.js', 'react', 'redux', 's3', 'serverless', 'ses', 'websocket'] | 11 |
9,951 | https://devpost.com/software/balancever-your-balanced-daily-routine | Brand
Our mission
Problem
Research
Research
Personas
The solution
Why?
Platform
Technology
Team
Inspiration
For many weeks several million people are in home office to slow down the spreading of COVID-19 and avoid our medical system to collapse. COVID-19 is not only a question about life and death, it’s also about the functioning of our economy and our mental and social well-being.
By moving our workplace from the offices to our homes, the boundary between work and life vanished. This can lead to long and lonely working hours and imbalanced life styles.
We had to stop hobbies and social interactions, throwing us into a new life situation. Many people struggle to structure their day and stay motivated. By the end of the day we feel mentally drained, physically exhausted and socially isolated.
What it does
We created a platform that can help structuring a work day effectively, provide suggestions what to do during breaks and free time and display a work-life balance score.
With Balancever you can generate a structure for your day, boost your efficiency and avoid long working hours.You can select diverse activities for your break and free time. Every users can also suggets ideas and share with their collegues and friends.
Find your online Yoga class, connect with friends for a coffee or browse through fun events. Balancever is a one-stop shop that helps you to shape your new remote lifestyle. Stay home, stay healthy, stay energized, stay connected, stay balanced.
How I built it
Design Thinking, Adobe XD, Adobe Illustrator, Adobe Premiere, Adobe Photoshop, Dreamweaver, Android Studio, Flutter, Firebase and Github
Challenges I ran into
Creating a solution for people that works in remote mode. The solution’s impact to the crisis is creating more connections where there is social distance, the product helps against the stress at home, help the economic system
Accomplishments that I'm proud of
Creation of a platform customized for desktop and mobile, with a engaging user experience. Integration of apps needed for wellbeing and events/activities.
What I learned
To transform remote working in smart working, you need to think about human well-being.
What's next for Balancever
After build it we have to populate it, create the content, be in contact with the online content creators (and we help the economic system at the end) and provide a product that can be improved by every stakeholders. Live video share events for peer to peer connect, sleep monitoring.
The value of our solution after the crisis
It's a product that you can always use, because help you to be in balance, working at home, working in the office. It's helpful for companies that will have employee more relaxed, more productive and in balance, for every workers, for everyone.
GitHub Repository
https://github.com/balancever
Prototype
https://xd.adobe.com/view/d0df8f06-659f-44ab-9e45-f67787fd553a-858c/?fullscreen
Mobile Platform User Experience
Link to see the first user experience:
https://youtu.be/-pULEcAUI2k
Follow us
https://balancever.eu
Built With
adobe-creative-suite
adobe-illustrator
adobexd
amazon-web-services
android
android-studio
design-thinking
firebase
photoshop
react
Try it out
xd.adobe.com | Balancever | Balancever is a platform to help remote workers improve their well-being and productivity by enhancing their work-life balance. | ['www.balancever.eu', 'Francesca Sanfilippo', 'Maurizio De Magnis'] | ['Challenge Winner', 'The Wolfram Award'] | ['adobe-creative-suite', 'adobe-illustrator', 'adobexd', 'amazon-web-services', 'android', 'android-studio', 'design-thinking', 'firebase', 'photoshop', 'react'] | 12 |
9,951 | https://devpost.com/software/bella-stayhome | Stay Home powered by BEK Service GmbH
Due to the current COVID-19 situation, we stay at home. Use Stay Home especially now to connect yourself with your neighbours, to stay in touch with your social network and get through quarantine healthier. We have decided to provide “Stay Home” free of charge until further notice! Sharing is caring <3
Stay Home is a Real Social Network, in which you can meet and support your neighbourhood and the surrounding areas. Stay Home enables you to bring the advantages of the digital world into the analogue world.
Just imagine: Your neighbour goes shopping and can bring you something. You urgently need flour, because you are going to bake a cake? Or, you need a screwdriver but don't have one by yourself? No problem! With Stay Home, your neighbour is just a click away.
Searching-Radius: Meet people in your surrounding areas has never been closer.
Post your contribution: Need something? Great! Just post it and tell it to your neighbours. You can help? Awesome! Post your contribution and tell the granny in your surrounding areas that you plan to go shopping. You would deserve grandma's kiss!
News: You have an individual concern? Just ask your neighbours.
Easy Login: Use your Facebook- or Xing- Account to get ready within a few seconds.
I'm proud of 200k Users in 1 Week
Built With
android
google-geocoding
google-places
ios
node.js
react
Try it out
stayhome.app.link
bekservice.de | Bella #Stayhome | Stay Home: Neighbourhood hub / Connect with people around you | ['BEK Service GmbH'] | ['The Wolfram Award'] | ['android', 'google-geocoding', 'google-places', 'ios', 'node.js', 'react'] | 13 |
9,951 | https://devpost.com/software/papure-2tpv60 | paPURE Setup - Angeled View - Utilizing Snorkeling Mask
paPURE Setup - Front View - Utilizing Snorkeling Mask
paPURE Setup - Side View - Utilizing Snorkeling Mask
paPURE Setup - Back View - Utilizing Snorkeling Mask
Original Prototype of paPURE Design View
paPURE Base - Top View - Inserted Compressor Fan and Fan Shroud
paPURE Base - Top View - Empty
Abstract:
The Filtrexa paPURE is an affordable, 3D printed powered air-purifying respirator (PAPR) that provides our healthcare providers with better protection than even N95s, especially in high-risk and confined environments (E.g. ICUs, ERs). It incorporates readily available components and can be easily manufactured locally. We can thus increase accessibility of PAPR technology by enabling hospitals to produce and purchase it as per their need, optimizing the 3D-print to produce it at a cost that is over ten times cheaper than PAPRs currently offered on the market, and using exchanging highly specific components for readily available and affordable components. The Filtrexa paPURE also has made design changes to improve comfort, ease of use, and longevity of PAPR technology.
Introduction
One of the most immediate and impactful effects of the COVID-19 pandemic are global shortages of proper personal protective equipment (PPE), forcing healthcare providers (HCPs) to consistently work in high-risk environments and unnecessarily place their own lives at risk. Our product is a powered air-purifying respirator (PAPR) that creates a positive pressure field with filtered air to protect frontline healthcare workers from airborne threats such as SARS, TB, measles, influenza, meningitis, and most immediately COVID-19. This technology improves upon current PAPR devices in terms of cost-efficacy, ease of access, and ease of implementability. Our solution not only serves to combat general PAPR shortages across the country, but also eases PPE shortages that arise from COVID-19 and future patient surges through an on-demand 3D printing process.
Value Proposition
Powered, air-purifying respirators (PAPRs) are currently the gold standard in medicine when treating patients diagnosed with COVID-19 and other highly infectious respiratory diseases[1] due to their positive pressure system. This system filters air extremely effectively before it reaches the airway. However, this technology package is costly, often totaling over $1800[2] and requires highly specific components which are currently in short supply. Both well-established hospitals such as the Mayo Clinic (with a ratio of 4500 physicians to 200 PAPRs)[2] and smaller county hospitals such as the Hunterdon Medical Center (where not a single PAPR is available to physicians) are facing critical shortages of personal protective equipment (PPE). Evidently, the aforementioned barriers render PAPR technology inaccessible to most frontline HCPs, leaving them far more vulnerable to infection.
Alternatives to PAPR technology include N95s, surgical masks, and currently, homemade masks due to a worldwide shortage of PPE. Although they provide a barrier against aerosols, standard and surgical N95s are easily compromised with an improper fit and have an assigned protection factor (APF) of ten[4], while PAPRs have an APF of 25 to 1000, rendering PAPRs far more effective at protecting HCPs. Additionally, physicians tend to prefer PAPRs over N95s because PAPRs are reusable, easier to breathe through, do not require fit testing, and make them feel safer[1][5].
Our Solution
In order to provide purified air to those in the most high-risk environments, we have developed a novel, inexpensive, and accessible PAPR device that is both lightweight and 3D-printable within 24 hours. Printed using readily-available filaments (e.g. PLA, ABS), paPURE is mounted to the user’s hip and assembled via on-hand motors and batteries. (See Appendix 2.5).
Through PAPR technology, HCPs are given access to filtered positive pressure air systems (in which airflow serves to seal any gaps in masks, as well as reduce respiratory fatigue in HCPs), drastically decreasing infection risk in areas such as ICUs and ERs.
Our device’s customizability allows for interoperability with existing masks, filters, and hosing (See Appendix 3.1), enabling hospitals, or possibly surrounding hobbyists/machinists (regulatory dependent), to produce PAPRs for their physicians and nurses. For images and procedures: See Appendix 1 and 2.
The system features a dual battery set-up that allows HCPs to utilize one or both batteries independently, as well as swap out batteries while the device is in use (such as during an extended patient procedure that a physician cannot leave from). Additionally the belt system, with the fan/chassis on you lumbar and 2 battery on ports on both hips gives a better weight distribution for improved comfort in extended usages (such as a surgeon leaning in an awkward position during the operation). The use of an inline filter means that air is pushed into a filter at the end of the device, as opposed to regular PAPRs that pull air through filters. This setup means that the risk of an imperfect seal compromising air quality is virtually nullified as no negative pressure system exists after air filtration in our device. Additionally, the aforementioned inline filters are better at filtering biological particles without disturbing airflow than standard P100s and are already used extensively in anesthesiology and respiratory care departments of hospitals across the country.
After printing the device’s chassis and shroud, integration with an inline bacterial/viral filter, housing, and masks will be followed by on-site fit and efficacy testing to ensure proper device assembly.[6] Then, an HCP would don their mask, clipping the paPURE chassis and two smart power tool batteries to a provided utility belt, and connecting to the mask via a hose. At most, we expect equipping paPURE to add 1-3 minutes to a medical professional’s routine and greatly improve safety and comfort.
An Improvement from Traditional PAPRs
Our technology eliminates the need for a middle-man manufacturer. Because the only required components are readily available to hospitals and clinics, hospitals can produce the device as per their need. We anticipate working with local 3D-printing facilities to produce and assemble the product, then to distribute the Filtrexa PAPR to hospitals. Physicians and NIOSH officials (most notably Richard Metzler, the first Director of the National Personal Protective Technology Laboratory at NIOSH), have already given us promising feedback regarding the need for this technology, and we are looking into potential partnerships with PPE developers and/or motor manufacturers. Some hospital purchasing experts have additionally communicated a need for affordable PAPRs. Our solution is over 10 times cheaper than current PAPR technologies ($155; see Appendix 2, Figure 2), increasing likelihood of adoption. To allow smaller hospitals to easily obtain our technology, we plan to raise awareness of our business through phone calls and emails to hospitals throughout the country.
Implementation Plan
paPURE’s solution is implementable almost immediately. The main barrier between our tested prototype and implementation is FDA/NIOSH approval (FDA EUA Sec II/IV Approve NIOSH Certified Respirators). We have also identified conditions that will allow us to expedite the regulation and roll-out of the production (such as the IDE and 501(k) pathways suggested to us by regulatory experts).[15] Because our device is based on existing PAPR technology, this predicate nature in combination with existing precedents for 3D-printed medical technology, can help expedite its deployment.[16]
Our technology minimizes the need for a middle-men. We are partnering with regional additive manufacturers to allow for quick, standardized, yet still decentralized production of the device. The only required components are readily available to hospitals and clinics, allowing HCPs to produce the device as per their need. Additionally, if regulatory approval permits, we may utilize local schools/universities/hospitals with on-site 3D printers in order to allow for fully decentralized manufacturing. After NIOSH Approval, our device (and depending on regulatory guidelines, possibly our CAD file) will be sent to those with 3D printers available, who could print and assemble the device (See Appendix 3.1).
Players involved in the production of this technology would be hospital assembly workers, but the design is easily assembled by anyone (the only limitation being that assembly be done under a fume hood to prevent contamination). Physicians we’ve already talked to have given us promising feedback regarding the need for this technology. We are currently looking into potential partnerships with PPE developers (See Appendix 3.2) and/or motor manufacturers. Our solution is over ten times cheaper than current PAPR technologies (See Appendix 3.3), increasing the likelihood of adoption.
Due especially to the length of this health crisis, hospitals are facing dire shortages of PPE. This has accelerated our timeline, but we are confident that it is feasible given the current state of emergency (See Appendix 3.4).
Since this product has yet to be implemented in hospitals, we are writing to you today to gauge your interest in paPURE. Additionally, any feedback you have relating to our product or interest in helping us with laboratory testing of paPURE would be greatly appreciated.
We anticipate our project to reach full fruition within 6-12 months. Our timeline is as follows. Our second iteration of prototyping for clinician testing will conclude in 2-3 weeks, followed by initial clinical testing, which will finish in around 1.5 months. As soon as clinical testing is finished and the product is validated, we will submit our product officially to NIOSH for regulatory approval. We anticipate receipt of regulatory approval within 1.5 months from submission. After approval is obtained, we will also apply for either a provisional patent or copyright, depending on legal advice. Within 1-2 months after regulatory approval, we plan to roll out our product to hospitals via centralized 3D-printing. During the next 1-2 months, we will continue to iterate and optimize the product. Official hospital rollout, with multiple 3D-printing partners and company partnerships, will occur around a month later. This will be around 6-7 months from now. As seen, our timeline is aggressive as we wish to equip healthcare providers with PPE as soon as possible. The prior goals mentioned in our timeline are our key goals and objectives for the project at this time.
Current Testing and Partnerships
Technical Testing is being carried out at Filrexa's primary residence and at Johns Hopkins University and includes analysis of airflow data, battery life, and filtration efficacy. For clinical testing, we already have established connections for clinical testing with both Johns Hopkins Medical Institute and Stanford University. In regards to business-focused assistance, we have also partnered with FastForwardU for advising regarding intellectual property protection, strategic marketing, and clinical networking.
Planned Partnerships
We plan to designate one 3D-printing company (current candidates include Xometry, Protolabs, Cowtown, and Health3D) as our manufacturer during our initial launch into the market, but will continue to partner with additional 3D-printing companies as our business grows. Due to our unique manufacturing approach, all hospitals, regardless of their size, will be able to order and quickly receive PAPRs, lowering the impact of the current shortage. In order to supply the auxiliary materials such as motors, batteries, and more, we plan to initiate company partnerships with large corporations such as 3M, Dyson, Black and Decker, GE, Cuisinart, Hitachi, Makita, Shop Vac, Hoover, Bissell, Shark, iRobot, and Bosch.
Additional Video
https://youtu.be/iFMtzt52BEQ
Appendix and Citations
Click here!
Website
paPURE Website
Built With
3dprinting
cad
cpap
p100 | paPURE | paPURE is a hospital accessible PAPR Technology utilizing 3D printing and readily available hardware to give healthcare's frontline the gold standard of personal protective equipment right now. | ['Sanjana Pesari', 'Hannah Yamagata', 'Sneha Batheja', 'Joshua Devier'] | ['2nd Place Overall Winners', '1st Place', 'The Wolfram Award', 'The Best Business Idea', '3rd Place Hack', 'Best COVID-19 Hack'] | ['3dprinting', 'cad', 'cpap', 'p100'] | 14 |
9,951 | https://devpost.com/software/covid-19-infobot | Inspiration
The surge of misinformation has reached new heights during the COVID-19 pandemic that UNESCO itself recognizes it as a major threat to the people and termed it as a "disinfodemic" accompanying the "pandemic". Under such conditions people often believe in fake information which further perpetuates and causes mental strain and anxiety.
False information and/or myths like "drinking potent alcoholic drinks as a cure" can not only overshadow the correct measures of precautions but also have adverse long term effects.
However, if we could make collect information from credible sources like WHO, UNESCO in real-time to answer the user's queries and supply credible information then this can reduce the spread of the "disinfodemic". This in the long run would :
1) Reduce experiments with unproven cures/remedies
2) Reduce the high level of fears
3) Prevent amplification of false information
4) Reduce anxiety levels and preserve mental health
5) Prevent contamination of true facts
What it does
The InfoBot provides the user with credible and updated information regarding the number of cases, recoveries, precautionary measures, and a lot more. The InfoBot receives the user's input via voice commands. Depending on what the user requires the InfoBot fetches the latest information from the internet via web scrapping and provides it to the user in the form of audio responses.
It has the following features:
1) Audio responses and speech recognition. [User commands]
2) Choice for male / female voice assistant.
3) Advanced error handling conditions.
4) Mental health support.
5) Includes basic support for North American slang.
6) Accepts voice commands for a hands-free experience.
7) Accessible to blind and deaf people. [Provides output as both audio and text]
8) Includes exception handling for personal questions.
9) Includes the ability to search for off-topic questions.
How I built it
The InfoBot is primarily a web scraping project integrated with a preliminary response handling algorithm, speech recognition API's and text-to-speech conversion libraries [pyttsx3]. The web-scrapping is done using the newly released selenium-python support.
ALGORITHM:
The InfoBot uses an algorithm that I built to deliver appropriate responses. I call this the "KeyMatter" algorithm as it identifies the key ideas behind the user's query and uses it to deliver appropriate responses.
The algorithm breaks down the user inputs to separate words and converts them to lower case [i.e. makes it case insensitive]. Then it matches these words with the keyword-tags database which I created. Then based on the tags identified in the user response, the algorithm obtains the latest information through web scraping and delivers customized outputs through the device audio.
Challenges I ran into
I had never used selenium python before and hence ran into many problems during web-scrapping. Especially selecting the desired element using the source code of the website was very confusing. Furthermore, as I had to create my own database and algorithm, I ran into many logical fallacies which took great efforts to fix. However, at the end it all paid off!!!
Accomplishments that I'm proud of
I am very proud of successfully creating and implementing my own response generation algorithm and implementing a fully functional exception handling backend.
What I learned
I learned to use selenium-python for web scrapping and creating a single program with three major cross-functioning libraries and/or APIs, namely pyttsx3, Google speech-to-text API, and selenium-python.
What's next for COVID-19 InfoBot
The next stage is to merge the COVID-19 InfoBot with ML algorithms to better handle off-topic questions and provide an even more enhanced human-friendly response.
Built With
google-web-speech-api
python
pyttsx3
selenium
webscraping
Try it out
github.com | COVID-19 InfoBot | The spread of fake information about covid has surged so much that UNESCO has termed it as "disinfodemic". To clear this cloud of misinformation, my InfoBot delivers credible and updated information. | ['Hetav Pandya'] | ['The Wolfram Award'] | ['google-web-speech-api', 'python', 'pyttsx3', 'selenium', 'webscraping'] | 15 |
9,951 | https://devpost.com/software/covhelper-05wox8 | app logo
Inspiration
All over the world, the spread of the pandemic is a persisting problem. As we saw people of all ages are affected by the problem specially older people, and people with pre-existing medical conditions (such as asthma, diabetes, heart disease). In addition, governments have to deter the spread of fake news that is making it harder to flatten the curve.
That's why
the best solution until now is tracking the virus, keeping the citizens aware by updating them about the current situation and finally improving their behaviour to respect social distancing
.
What it does
CovHelper is a mobile application (implemented on both Android & iOs) with
2 versions
one for
citizens
and the other for
medical establishments
.
The application will help the government to
improve citizen’s behaviour, keep the user updated and safe by tracking of the user status ( by adding daily symptoms: his symptoms will be available only for hospitals so we can contact to have a test if needed ) and his contacts (who is infected and who was in contact with the victim) and last but not least allows the user to consult a list of nearest hospitals and donate to organisations and funds raised to defend COVID-19 outbreak
.
For the version designed for medical establishments a medical assistant will be given an account to sign in and update positive tested cases. For citizens they have the ability to register and sign in.
When registering, the patient answers a collection of questions (the list can be modified dynamically). The answers of each patient will be saved in the database and an algorithm will automatically order the list of patients from most critical or urgent to least critical. This algorithm will be defined with a CORONA specialist.
The responses will also allow us to have a list of the people the patient has contacted and their family members. The questions differ
depending on the case, whether you come from abroad or not
.
Once connected, you can consult the Dashboard, where you can check:
• Your status and Old Symptoms ( these symptoms will be available only for hospitals so we can contact to have a test if needed )
• Add new symptoms
• Volunteering (helping around)
• Make a donation
• Quarantine counter
• News: Just display news related to Coronavirus (title contain Corona)
=> depending on your localisation country and the language you have chosen these news will be dynamically updated The api we have used to get news is
https://newsapi.org/
because
it provides verified news
• Trackpad: The user ca check his status if he’s infected by the virus or not who infected who and who encountered an infected
How we built it
The application will be ready to launch within two weeks so that we can catch up and track the virus all over the world.
The application is available with
English, French and I'll soon add Arabic
to ensure everyone can connect within the app.
CovHelper is developed with
react native
to make sure we get the application as soon as possible on both android and iOs devices. We used material design for modern UI framework.
Apis will be developed using
Firebase
, we thought this will be the fastest way to do it.
We used different APIs to get data such as
NewsAPI
and Postman apis.
Updating a patient status is only entered by the medical establishments, this will approve the authenticity of the app and prevent false positives or self-reporting, which might lead to falsification of records.
Checkout app presentation with different views
here
Challenges we ran into
• Add Location
Check coronavirus victims’ position :
For iOs it is possible to get a notification when the location did change, this will be enough for us. When location did change, we will start a call to the API telling the server that our position did change.
For android, if we keep a notification of our application no dismiss-able, we can keep asking for location. This does fix the problem too.
One last problem for iOs, if our device restart, the user need to restart the application to make sure we are requesting location again. We don’t have this problem for android because we can use on Reboot broadcast receiver to make sure we restart our service every time we restart the device.
Accomplishments that we're proud of
We are mostly proud to contribute in the developing a solution that will reduce the spread of the virus throughout the country while finding a vaccine to cure the pandemic with the tracking method. It will improve awareness and help medical stuff at the frontline in order to keep everyone healthy.
We specially appreciate the wide range of offered resources, the freedom in making your work plan and the overall
friendly atmosphere
.
We are able today to apprehend projects with a
good perspective
and to
propose adequate solutions to the issues addressed
and we are really thankful of that.
We were in top 100 finalists in the #AfricaVsVirus ( 3rd in the Community challenge ), a Pan-African Hackathon – April 2020
Organized by the African Development Bank to counter COVID-19 pandemic with more than 25k participants from 54 African countries. We stood third in the Community challenge.
This Hackathon allowed us to get in touch with great minds that's why we decided that everyone still can contribute to this project: designers, developers, idea holders… we will provide open source code for developers just to make sure we all are making a difference.
What we learned
We should mention we were able to encounter great minds from all over the world that really care about this crisis. We had the chance to
exchange ideas, motivate each other ,learn from one another and make great friends through slack workspace
.
Briefly, This experience helped me sharpen the
spirit of initiative
and even more
boost my taste for challenge and leadership
.
What's next for CovHelper
We plan to get the app
deployed as soon as possible
for that we'll need :
• Ensuring a sustainable cost of running such an app in the cloud storage
• Government entity or public health organisation commission to track data.
• Medical system contribution to update the status of patients.
We also plan to add these features :
• Location :
Consult list of nearest Hospitals :
Localise hospitals nearby so that the user can contact them in case of urgency
Notification :
we send a notification to the user:
o When he enters a new building
o When the distance between the user and a Corona case is < to 100 meters
This application will guide us through this period and even after quarantine just to ensure everyone of us gets back to his normal lifestyle and why not have a better lifestyle.
The app will remain a great tool to donate, volunteer to hospitals and charity organisations and we will allow people in need to post their problems. It will be a platform to give and get Help.
Built With
android
firebase
ios
javascript
machine-learning
react-native
Try it out
github.com
drive.google.com | CovHelper | CovHelper is a mobile app that tracks affected cases, facilitates donating to organizations, keeps the citizen updated about his status and his contacts status and provides him with verified news. | ['hajer so', 'haythem so'] | ['The Wolfram Award'] | ['android', 'firebase', 'ios', 'javascript', 'machine-learning', 'react-native'] | 16 |
9,951 | https://devpost.com/software/shopsafe-21onk6 | Hardware
Mask Detection
Population/Capacity Regulation
Home Screen
Google Maps
Local Stores
First Joined Queue
Enter Store Prompt
Thank You!!! <3
Inspiration
Social Distancing is the new norm, and maintaining optimal crowd levels in public places like shops, supermarkets, etc. has become a challenge. We present a high tech solution to address these issues. Capacity regulation and standing in lines at supermarkets and grocery stores is a prime example of how COVID-19 has changed society. For many people, these lines are the only places where they interact with random people or even come close to others. This situation is thus one of the only places where they have a slight chance of becoming infected. This can be dangerous to many people with underlying health issues or the elderly. We aim to increase preventative measures at stores and decrease contact duration in order to maximize the safety of our users.
What it does
We have two parts to our product. The hardware component uses a machine-learning algorithm to detect whether a person entering the store has a mask on or not. The detection is paired with a servo motor that opens the door if a mask is detected or stays closed if no mask is detected. The system also has an automated voice to tell users to come back with a mask on or if they are good to enter the store. We used OpenCV to capture each frame of the video stream from a webcam and applied the ML algorithm to it, which returns the corresponding signal via a serial port to the hardware. The hardware component also regulates the population of the store in order to minimize store capacity while keeping a steady and fast flow of customers. Using the same webcam, we detected whether a user has passed the boundary lines and increments the population depending on the total amount entered and total amount exited. We can then pass the population and the entrance/exit rates to a backend where the front end could use to calculate the estimated wait time for each store.
For the software component, we used Flutter, Google Maps API, Tensor Flow, Keras, OpenCV, and Python. Flutter was used to build the front end, which utilized the google maps api for the Search Stores function. We created the ML algorithm using tensor Flow and Keras. With OpenCV, we captured a video stream from a webcam and processed every frame, then passed each frame into a neural network that was trained on a dataset of face images, both with and without masks. This was a Hard cascade type of classification, which made a detection of a face, outlined the mouth region of the face, and tried to detect a mask object. The algorithm ran through each frame and if it detected a mask, it would send a signal via a serial port to the hardware. Our system used a python library called pyserial to communicate between the software and hardware.
How we built it
Machine Learning:
Tensorflow with keras frontend
OpenCV
Dlib
Frontend:
Flutter
Google Maps API
Python
Hardware:
External webcam
Arduino Uno microcontroller
SG90 Low power servo
Cardboard
Algorithm
Face Mask Detection
To train any machine learning model, a good a reliable dataset is the first and foremost requirement. To generate a dataset for this problem, an image of a mask with a transparent background is superimposed on multiple faces. This way we could have multiple images of people wearing a face mask. (Note: do not use the same image for with and without mask dataset. USE DIFFERENT IMAGES). Once the model is trained, OpenCV is use to get the video stream and analyze it frame by frame. In each frame of the video, the model is run to see if the person is wearing a face mask or not.
People Counter
The code first identifies the people in the video stream and form a bounding box around them. This bounding box is then used to find the centroid of the person. This centroid determines the relative position of the person in the frame. An imaginary vertical line is drawn using OpenCV. The position of the centroid and the line are stored as pixel position values. If the centroid position crosses the imaginary division line the person has either entered or exited the store. This way we can calculate how many people have entered and exited the store and keep a population count of the people inside.
Challenges we ran into
Overall system integration
Optimal training, dataset augmentation
Live camera stream lighting adjustment affects accuracy significantly
Mask detection is very janky if the person is not close to the camera
People tracking needs to be implemented where there aren't people randomly standing around, a smarter approach needs to be taken to account for randomly moving and standing people who occlude views
Need to test (and train) with more diverse set of people (due to social distancing only 2 of us could test the live mask detection)
Frame by frame detection is ineffective when attached to a physical process (like opening a door), so we skipped frames and introduced deliberate delays in the video stream processing to allow the user time to walk through the door and have a safe distance from the next/previous person
Accomplishments that we're proud of
Our system works!
We incorporate different systems and components together, with 2 separate machine learning based sub modules
We identified some issues with real time video stream analysis and were able to figure out how to address these issues. We are also proud that the application works and is capable of queuing up your position in multiple stores.
What we learned
We learned how to integrate the Google Maps API into our code, which we have never done before. This allowed us to use location services to determine the user’s location and nearby stores. We also improved our ML skills by working with image detection this time. Integrating the overall system was a challenge and we learned many things along the way.
What's next for ShopSafe
We hope to actually implement our service in stores around the country, but we need to reach out to local stores to agree to use our service. The queuing system can only work when the store agrees to only let users in through the queue. We also need some funding in order to distribute our hardware system. We hope to benefit the world with our creation because our solution can actually have a huge impact in the world.
Built With
arduino
dlib
flutter
keras
opencv
python
sg90
tensorflow
webcam
Try it out
github.com | ShopSafe | Convenient and Safe Shopping for Everyone | ['James Han', 'Muntaser Syed', 'Prashant Bhandari'] | ['Top 3 Best Data Science/Machine Learning Hack', 'The Wolfram Award'] | ['arduino', 'dlib', 'flutter', 'keras', 'opencv', 'python', 'sg90', 'tensorflow', 'webcam'] | 17 |
9,951 | https://devpost.com/software/happy-n-healthy | Happy N’ Healthy: An App for Exercising During Quarantine
Reconnect and realign with nature, others, and yourself. A workout app to tackle home isolation and help transition exercise habit changes due to COVID-19.
Made with 🏃by Ilmaa, Kasey, Kendall, Kenny, and Natalie
March 2020 - June 2020
📱
Try it out
🎥
Project summary video
📺
Demo video
🔬
Research summary video
📝
View our 22 page write-up
COVID-19 impacted people in many ways, from mental health to their daily way of life. We specifically wanted to tackle home isolation and the way people’s exercise routines were affected. Design is creating experiences for people so we wanted to empower users of our product with the experience of health and as much physical normality possible during COVID-19.
Mission-Guided Research
Before creating a product to help people, we needed to understand the issue through user research. We scoured the internet, performed surveys, and interviewed people to understand the problem of altered exercise habits because of being at home more due to COVID-19.
Video of our research summary:
youtu.be/r19nHAY-AvA
Secondary Research: Observing online communities
We observed several communities of Reddit and Facebook from online collaboration groups including:
Reddit groups
: r/homefitness, r/naturalbodybuilding, r/advice, r/bodyweightfitness
Facebook Groups
: Home Workout, Healthy Meals and Workout Tips, Diet and Fitness, Body Building, Workouts for Lazy People
Reddit users
mainly expressed they wanted to exercise but felt too sluggish and tired to actually start.
Facebook users
usually asked for workout programs and shows they could watch at home, they talked about their daily exercise, and how they were often times unmotivated.
Some of the main themes we observed overall were:
Adapting to home workouts/using equipment found at home
Problems with motivation due to various situations resulting from COVID-19 (financial, social, etc.)
No personal trainer/gym staff = confusion around form
Memes and complaints about gyms being closed
Asking/giving various workout recommendations
Soreness and neck/posture problems
> “Yesterday I bought one of those pull up bars you hang from your door frame…AND I CAN’T EVEN DO ONE PULL UP ALONE!!”! — u/batdud3
From our secondary research, we found that because of quarantine, there have been a lot of obstacles for people to stay motivated. For example: gyms, fitness centers, parks, and beaches have closed, inhibiting people’s desire to be active and exercise.
According to the world health organization, the shelter in place order has posed that staying at home for prolonged periods of time can pose a significant challenge for remaining physically active and even “low levels of physical activity can have negative effects on the health, well-being and quality of life of individuals.” This shows that it is extremely important for people to get as much exercise as possible during the COVID-19 crisis.
User research: Online questionnaires
Conducting secondary research led us to decide on the most appropriate questions for a survey we sent out to these workout Reddit and Facebook groups. We wanted to send out a survey to get quantitative data to understand people’s reasons and ability to exercise during the stay-at-home order.
We divided our questions into four categories of people:
Exercise only before quarantine
Exercise only after quarantine
Exercise before and after quarantine
Do not exercise at all
Within each of these categories we asked the five w’s:
who, what, when, where why
.
We ended up getting
42 responses
total. Most of the respondants attempted to exercise both before and during quarantine.
Survey analytics + statistics
Working status
91% working or students part-time or full-time
9% unemployed
Housing status (before → after stay-at-home order)
83% → 24% lived in an apartment or dorm
17% → 76% lived in a house before then after quarantine
Exercise habits
23.8% only exercised before
7.1% only started exercise now
59.5% exercised before and exercises now
9.5% did not exercise before and do not exercise now
Participants that exercised only before the quarantine (10)
80% exercised for at least 30 min at least twice a week
70% did activities that involved being outside or to be done with other (hiking, gym, dance teams, etc)
96% exercised for either health reasons or fun
60% go to a gym
40% go outdoors
40% used equipment from a gym or for outdoor activities like hiking
90% did not follow a workout regimen or program
For those who did, they were all online programs
40% exercised alone
Participants that exercised only during the quarantine (3)
66.7% exercised 4 times a week
66% followed online exercise videos
33.3% went for runs in the neighborhood, others stayed home
Resistance bands were the only reported equipment
66.7% do not follow any routines/programs
If they did, it was an online regimen
Participants that exercised before and during quarantine (25)
40% (majority) exercised 4 times a week for at least 30 min
96% did a combination of gym machines, cardio workouts, and running/dance
40% exercise for health and fitness reasons
50% exercise for body image/confidence reasons
12% used equipment from the gym
40% followed workout regimens/programs
68.8% of these respondents said they were in person
43.8% followed online programs
64% exercised alone
Participants that do not exercise (10 people)
30% cite being too “lazy” to exercise
50% cite having no equipment or access to gyms to start
But 80% responded that they only needed themselves to start exercising
Primary research: Virtual interviews
We asked survey participants if they would be willing to participate in an interview. Each of us conducted two interviews totaling in 10 interviewees. Here are some the key quotes from interviews:
“I enjoy exercising in a group bc enjoys being around and with people especially people are optimistic and happy but… I am committed to walking because of essential health problems so must stay with exercise plan to thrive so have not struggled because it it not optional.” — 65-year-old female
“I would run from ERC/Pangea parking structure to either the medical center on the left or right and just go”. Now: “I’m not eating enough to feel energized enough to run. I could eat more but haven’t had motivation. It’s a me problem.” — 19-year-old female
“To be frank, I am a lot of times lazy to exercise and usually I occupy my time with other things. Classes and other responsibilities like orgs and work can get a lot sometimes. Because of this I don’t even think about exercise since my mind focuses on something else.” — 19-year-old male
We then made analysis for each category of exerciser:
Exercised only before quarantine
It is possible that the change in lifestyle from ‘normality’ into quarantine has been the largest contributor to why they decided to stop. For example, 60% of them used to exercise in a gym — which are now closed — so the lack of equipment may put them off from changing routines to home friendly ones. Additionally, the 70% did outdoor activities which are also all blocked off. A major theme among all survey takers was loss of motivation so this may have been a large factor as well.
Exercise only after quarantine
The most noticeable fact from here is that the quality of exercise is very low. This may be because they are restricted in the types of exercise they can do, and since they are only starting now, it may impact their views on exercise.
Exercised before and after quarantine
These people seemed a lot more motivated to continue exercising through quarantine possibly because they have a solid routine down, and because 64% already exercise alone they do not have any major changes in motivation (partner wise). For them, the biggest obstacle was figuring out how to change their routines to work during quarantine.
Do not exercise at all
Among the participants saying they are too ‘lazy’, we found again that by laziness, they mean loss of motivation or not having the motivation at all to start. Additionally, self image and body confidence were also a obstacle, especially when other people are watching them. However they also responded that the only thing they needed was themselves so they have the right mindset, but just need a push to get started.
User personas
Since we were unable to meet with our group in person, we had a virtual sticky note board to make notes from our user research about different categories of people. From the general interview results, we split the types of answers into 6 archetypes:
Based off of these archetypes from our user research we created the main user personas from common theme of people. These are the key users we would target when creating and marketing our product:
Storyboard journey maps
To create a product that would solve our personas, we created storyboards with potential solutions for user problems.
Scenario 1
Scenario 1 showcases how we saw people having trouble adapting to their new home environment, especially when it comes to exercising. Our research saw that people don’t know how to exercise at home and with their limited equipment were at a complete loss. Additionally, people felt alone and awkward when exercising by themselves, unlike how they used to exercise in bigger groups (not everyone but targeted towards people who stated they worked out in groups before). Our solution calls for a mobile app that will not only teach people new home workout routines and show them what they can use at home as equipment, but also allows people to video call others to exercise as a group.
Scenario 2
Scenario 2 is mostly targeted towards students who have switched to online learning. Here, students may feel swamped with work and oftentimes will forget when to exercise. Our mobile app helps remind the student when they should exercise, stand up, and hydrate. Additionally, this app will also suggest basic exercises and stretches a student can do while at home.
Scenario 3
Scenario 3 is for those who used to workout with trainers or others who taught them how exactly to workout with the correct form. The solution app helps people connect with others to learn more about what they can do and how exactly to do it in terms of working out.
Scenario 4
Scenario 4 is for those who lack workout equipment at home. The solution is a mobile app that helps people find common objects throughout households and showing them how they can incorporate them into their workouts. Additionally, this app allows users to connect with others to complete workouts and/or post workout routines. This ultimately will also help increase one’s motivation to actually exercise.
Scenario 5
Scenario 5 is for people who, despite the quarantine, still wish to exercise outside. Our app allows users to search up places to exercise while at the same time upholding social distancing and maintaining safety. This app will help ease people in their fears of being in a crowded area during this outbreak.
Prototyping
Now that we had a solid understanding of the main product users, their background, and the issues as well as the general solutions they would be receptive toward we could begin to prototype product designs. Our personas would be most receptive to incorporating their phone into their routine so we decided to create a mobile app.
Sketches and wireframes
We created general wireframes of user flows and sketches of what the potential mobile app would look like.
Low-fidelity prototyping
We created digital outlines of our sketches and user flows.
Mood board
Moving into more visual interface prototyping, we wanted our app to have a certain feel when using it. Here were some of our inspirations:
High-fidelity prototyping
We then created high-fidelity prototypes based off of the sketches, mood-board, low-fidelity user testing, and low-fidelity prototypes.
User testing
We performed five user tests on both our low-fidelity and high-fidelity prototypes.
We created tasks and asked questions for the participants to complete to see if our app was designed in an understandable interface to someone who would be new to it.
Tasks (from low-fidelity)
Create account
Pick indoor/outdoor for their prefered workout location
If outdoor: scan current location (shows how much foot traffic is there) → search for a specific park, trail based on proximity in search bar
If outdoor: can view and select different workouts based on location → select workout based on area of focus: ex. Cardio, arms, abs
If indoor: can view and select different workout → select workout based on area of focus: ex. Cardio, arms, abs (with or without equipment option as well)
Schedule a workout meet with friends → create a meet for 5pm, (every MWF) and add two friends already connected to the app and invite one friend from contact list/facebook
Questions (from high-fidelity)
Is there anything confusing about the app?
Do you feel comfortable using this app?
What (if anything) would you want to change about this app?
Are there any features you feel are necessary?
Are there any features you feel are unnecessary?
Feedback (from low and high-fidelity)
The main general voice we received from the interview questions we asked included:
Fitness and exercise based, gave a sense of normalcy
Lacks intuitively, would need a description
Would use the app although it seems like it has a lot of features
Would use the app to exercise outside or indoors with friends
Challenges we faced
We learned a lot from this project. Here were some of our challenges and insights gained:
Communication is difficult when a group is unable to meet up in person: this makes communication even more important → at first a few of us did meet up on Zoom at first but then started doing it more as things ramped up.
Sometimes working together makes work slower: while working together is great sometimes it made things awkward and indecisive → we worked best when we met up during shorter periods of time to discuss then finish individual parts on our own time
Designs are not perfect their first time: or their second or third or…tenth → we had to iterate many times from our initial designs until we ended up with something cohesive, user-friendly, visually pleasing, and marketable
Work overlaps leads to confusion: when people are assigned similar tasks they might create two different solutions → team work makes the dream work so combining designs usually was best
Below are some of our initial designs and the results of iteration, collaboration, and working out design kinks together.
Market Evaluation
This product would be distributed on the app store and work through a free-to-use service. Users would be able to use all features of the app but would be restricted in how many workouts they could schedule with friends at a time, how many goals they had per week, and how many indoor or outdoor workouts would be displayed. They would pay a single, one-time fee of $20 to unlock all unlimited features for life.
Competitive Analysis
We evaluated similar apps on the market but found they fall short in their use during COVID, exercise accountability, and are subscription-based services. The one-time fee of $20 would seem more worth it over time and ultimately provide more benefit to users.
Final product
We performed high-fidelity user tests, created a style guide and component library, and polished it up to come up with a final product.
Welcome and home screen
When first entering the app users are greeted by the login screen. Users will see rings around their profile picture. These rings indicate the progress the user has made on their daily and weekly exercise goals. Users are asked whether or not they want to start their workout indoors or outdoors. Choosing an option here will take the user to another screen where they can finalize where, when, and who they want to workout with.
Indoor and outdoor workouts
If the user is used to exercising outside they are presented a heatmap with locations near them signaling whether it is safe and socially distant enough or not to work out. They can also filter locations based on outdoor features they are interested like having a trail.
If a user usually works out indoor like at a gym, they are shown a list of workouts than can be done at home. This is to provide inspiration and guided workouts to assist in the transition. They can sort by what type of work out it is, like strength or cardio then find related workouts.
Saved workouts and locations
Users can save their indoor and outdoor workouts then find them by searching, sorting, or filtering!
Add + connect with friends
To help motivate users, we added a friends function that can connect to their contacts or other social media to find friends. This allows them to view their progress in meeting their goals. Together, they can start on the same routines and workouts.
Chat
With our built in chat system, users are able to communicate with their friends, families, workout groups, or whoever. Here, users can do a range of things from sharing their favorite workouts to scheduling a workout with others.
Schedule
Our connect screen allows the user to see an overview of their month, along with any exercise meets they have scheduled. Scheduling a new meet is simple, just click the plus and it will bring you to a scheduling page. The user can choose a title, any potential attendees from their list of friends, a time and date, location, and type of workout all in one screen. With one click they can schedule a workout with a friend.
Profile and goals
The profile page is laid out so that the user can see all of her scheduled workouts, and the progress that she has made throughout the day and week. From there once the user clicks on add and edit goals, there will be an edit page where they can edit their bios, name, and most importantly add a new goal!
Style guide and component library
We wanted to maintain consistency and make it easy to edit components so we made a modular component library with colors, text, buttons, headers, and various commonly used cards and boxes.
Video of our project summary:
youtu.be/Lh6t1fi0DFc
Conclusion
Creating a product to solve home isolation and working out during the stay-at-home order was an exercise in user-understanding, iteration, and creating something that has the potential to truly help people at a low cost. We had a lot of interesting times designing, learning about issues that have arisen from the quarantine, and trying out own hand at being able to collaborate during COVID-19. We hope you enjoyed our process and write-up to creating a product that solves an issue that arose from this pandemic.
Changes for the future
In the future we hope to conduct more testing to refine, combine, or add features that are useful. While the shelter-in-place orders are currently being lifted, the danger of COVID-19 is still just as high, gyms are still not open, and it is likely they will be put in place again and we will want to find a team to work with to release this app to help people exercise at home. In the coming years when it is not longer necessary to be socially distant we will pivot the app to be still sociable and useful long after, with personality and accountability being our defining feature in being an app.
Our roles
Made with 🏃by Ilmaa, Kasey, Kendall, Kenny, and Natalie. Each of us worked toward the challenge and mission statement, performed research, user-testing, made write-ups, and designed interfaces. We highlight some of our key contributions:
Ilmaa: Designed Scheduling, orchestrated the mood board, refined and polished the design
Kasey: Designed Add and Connect with Friends
Kendall: Designed the Saved, Indoor, and Outdoor interfaces with filters, performed user research on diverse groups
Kenny: Designed the Home, Login, Chat, and Guided Workout for indoor and outdoors
Natalie: Designed Profile Add and Edit Goals, performed in-depth user research; spearheaded the Competitive Analysis
Try it out
www.figma.com | Happy N' Healthy | A workout app to tackle home isolation and help transition exercise habit changes due to COVID-19 | ['Kendall Nakai', 'Ilmaa Haque', 'Kasey Chen', 'Kenny Tran', 'Natalie Hun'] | ['3rd Place ($300)', 'The Wolfram Award'] | [] | 18 |
9,951 | https://devpost.com/software/again-vui0w1 | Inspiration
Few days before the start of the quarantine in Morocco, we were walking down the street and we saw a homeless guy trying to find food. Going back home, we were wondering what can this guy do if the quarantine gets imposed on us, Moroccans. A few days later, that was exactly what happened: we were quarantined. Thinking about that guy we saw the other day, we started brainstorming solutions that we can build as computer science passionates to make him and many others in the same situation as he finds a shelter especially during this tough time when they can be easily infected by the virus, as likely as easily spreading it. After seeing Covidathon, we believed that this is our chance to make our solution reach more people and to take the first step in making an impact.
What it does
Again is a solution that aims at securing shelter for homeless people during the lockdown by matching associations and organizations that deal with homeless people and house donators.
The solution also creates jobs for people who have lost their jobs by being applications' reviewers (more details about this below).
To secure shelter for homeless people, the application allows users to create accounts as an association, a house owner, or an applications' reviewer. All of the different types of users enter useful information about themselves when registering (details about the registration information required from each type can be found on the demo site):
As a house owner: anyone who possesses a house or multiple houses can donate them via the application by filling a house donating application. The application asks for information about the house/s that the user would like to donate. This information includes the location of the house, the area, but most importantly a document proving that the user owns that house. The purpose of this proof is to reduce the wasted time after matching an association with a user that does not really possess the house. This proof document will be processed by an AI system that will either validate it or not. If the document is validated, it will be available to applications' reviewers to match it with an association. If not, the donor’s application will be withdrawn. After the donated houses have been matched with an association or more associations (if there are many houses that a lot of associations can use), the contact of the donor is given to the associations so that they coordinate to finalize the donation process.
As an association: after registering in the application, associations can submit applications asking for matching with a donor. An approximate number of homeless people who will benefit from the donation should be specified in the application. It is then the job of applications' reviewers to review the application and decide on a match with a donor.
As an application reviewer: applications’ reviewers are people recruited through the application in order to review the associations’ applications and match them to house/s donors. To be an applications' reviewer, one must apply to the job through the website (applications are available in case of need when the amount of applications is too much). Applicants must provide their personal information, but most importantly, proof of losing their job because of the pandemic. This proof can be of any kind: a screenshot of an email of firing (the email should be forwarded later to make sure it comes from a recruiter, a document..). This proof of losing a job, plus the first-come, first-served basis, and the description of the need in the application are the factors that the admins are going to rely on when assessing applications. Each applications' reviewer will get associations’ applications on a weekly basis. Their job is to assess the need for associations and match them with house donors in the same locations. They also have to distribute the houses in an optimal way taking the need and the impact into consideration. Applications reviewers get paid from donations to the web application. These donations have nothing to do with the house/s donations, they are monetary donations that can be done through the web application to a specific bank account for this purpose. Anyone can donate including people not registered under any type in the application. More on how application reviewers get paid in the section below.
Payment Policy
Applications reviewers will get paid from donations. Since donations are uncontrollable, our team came up with an adequate solution. Applications reviewers will get a token for each application reviewed and thus an association matched with a donor. The value of a token changes on a weekly basis depending on the donations received. Here is a hypothetical scenario: we have 3 applications' reviewers who have reviewed 10 applications each, this means that each applicant has earned 10 tokens, making 30 tokens in total. The amount of donations received in this week is 300 $, implying that a token is worth 10 $. In this case, each reviewer will receive 100$ for this week. However, this method is not good if the amount of donations for a certain week is very high, let’s suppose that in the same previous scenario, the amount of donations is 30000 $, then a token will be worth 1000$. This also means that an applicant will earn 10000 $ for a single week. This might be not fair for other applicants who will join in the coming weeks, and when the donations will be very much lower. To solve this problem, we decided on having a maximum amount that a token cannot exceed so that if the amount of donations is high, we save it for later weeks.
Going back to our scenario, if we set the maximum worth of a token to be 20$, and having 30 tokens to issue, we will spend 600 $ and save 29400$ for upcoming weeks.
Important notes:
Before associations submit their applications, they have to agree to some terms and conditions. An important condition is that the associations should engage the beneficiaries in society by making them help either by doing a job, volunteering or helping other homeless people. The goal of the application is not only to find shelter for these people but to try to engage them in society especially during these tough times when we all have to unite.
Link to the document about using AI in Again:
[
https://docs.google.com/document/d/1RNNpGf3MIhp-lksVtGzXkH7Tb91Ilw4gRw7AJmu27bA/edit?usp=sharing
]
How we built it
To build our web app again, we (team members) divided the work into three parts:
The front-end part (Mohamed Moumou): This part consisted of designing each web page in the web app. The story of AGAIN and all the scripts in the web app. Also, building the actual web app front end using the react framework.
The back-end part (Ouissal Moumou): This part consisted of designing the database and building the actual back-end of our web app using the express.js framework, MongoDB(for the database), and APIs.
Deployment (Ouissal Moumou & Mohamed Moumou): We used Heroku to deploy either the back-end and the front-end app.
Accomplishments that we're proud of
The team of Again is very proud that he is thinking about homeless people when everyone is thinking about the problems of the homeful ones. It does not mean that homeful people’s problems are not urgent, but it means that there is a huge part of society that struggled and now struggling more because of the COVID-19 outbreak that needs urgent help and re-integration. Another accomplishment we are proud of is that our idea is providing jobs for people losing their jobs.
What's next for Again
1- Implementing AI solutions in our App,
2- Adapting the services offered by the app to every country's laws,
3- Make our web app available in many languages (Arabic, French...).
Helpful hints about running the application in our demo site:
http://againproject.herokuapp.com/
If the page returns an error message from Heroku, just refresh the page and it will work.
Here are some login credentials for quick testing of the application:
For an association: **
email:
[email protected]
password: Tasnim123
*
For a house/s donator: *
email:
[email protected]
password: yay yay
*
For an application reviewer: *
email:
[email protected]
password: Badr123
**The information and metrics shown on our app are fictional.
Built With
heroku
javascript
mongodb
node.js
react
rest-apis
uikits
Try it out
againproject.herokuapp.com
againbackend.herokuapp.com
github.com
github.com
docs.google.com | Again | Again is a solution that aims at securing a shelter for homeless people during the lockdown by matching associations and organizations that deal with homeless people and house donators. | ['Mohamed MOUMOU', 'Ouissal Moumou'] | ['The Wolfram Award'] | ['heroku', 'javascript', 'mongodb', 'node.js', 'react', 'rest-apis', 'uikits'] | 19 |
9,951 | https://devpost.com/software/castme | Main Menu
Motion capture streaming demo
Female avatar professor teaching
Male Avatar professor teaching
presentation screen
view from the back
View from the middle
Customize Character
castme.life website
Splash Screen
Inspiration
Video lectures are present in abundance but the mocap data of those video lectures is 10 times ahead in the form of precise data. High quality and a large amount of data are one of the requirements of best argmax predicting ML models, so we have used here the mocap data. Despite the availability of such promising data, the problem of generating bone transforms from audio is extremely difficult, due in part to the technical challenge of mapping from a 1D signal to a 3D transform (translation, rotation, scale) float values, but also due to the fact that humans are extremely attuned to subtle details in expressing emotions; many previous attempts at simulating talking character have produced results that look uncanny( two company- neon, soul-machine). In addition to generating realistic results, this paper represents the first attempt to solve the audio speech to character bone transform prediction problem by analyzing a large corpus of mocap data of a single person. As such, it opens to the door to modeling other public figures, or any 3D character (through analyzing mocap data). Text to audio to bone transform, aside from being interesting purely from a scientific standpoint, has a range of important practical applications. The ability to generate high-quality textured 3D animated character from audio could significantly reduce the amount of bandwidth needed in video coding/transmission (which makes up a large percentage of current internet bandwidth). For hearing impaired people, animation synthesis from bone transform could enable lip-reading from over-the-phone audio. And digital humans are central to entertainment applications like movies special effects and games.
What it does
Some of the cutting edge technologies like ML and DL have solved many problems of our society with far more better accuracy than an ideal human can ever do. We are using this tech to enhance our learning procedure in the education system.
The problem with every university student is, they have to pay a big amount of money for continuing to study at any college, they have to interact with the lecturers and professors to keep getting better and better. We are solving the problem of money. Our solution to this problem is, we have created here an e-text data to human AR character sparse point mapping machine learning model to replace the professors and use our ai bots to teach the same thing in a far more intractable and intuitive way that can be ever dome with the professors. The students can learn even by themselves AR characters too.
How we built it
This project explores the opportunities of AI, deep learning for character animation, and control. Over the last 2 years, this project has become a modular and stable framework for data-driven character animation, including data processing, network training, and runtime control, developed in Unity3D / Unreal Engine-4/ Tensorflow / Pytorch. This project enables using neural networks for animating character locomotion, face sparse point movements, and character-scene interactions with objects and the environment. Further advances on this project will continue to be added to this pipeline.
Challenges we ran into
For Building, first of all, a studio kind of environment, we have to collect a bunch of equipment, software, and their requisites. Some of them have been listed following.
Mocap suite- SmartSuite Pro from
www.rokoko.com
- single: $2,495 + Extra Textile- $395
GPU + CPU - $5,000
Office premise – $ 2,000
Data preprocessing
Prerequisite software licenses- Unity3D, Unreal Engine-4.24, Maya, Motionbuilder
Model Building
AWS Sagemaker and AWS Lambda inferencing
Database Management System
Further, we started building.
Accomplishments that we're proud of
The thinking of joining a virtual class, hosting a class, having a realtime interaction with your colleagues, talking with him, asking questions, visualizing an augmented view of any equipment, and creating a solution is in itself is an accomplishment.
Some of the great features that we have added in here are:
Asking questions with your avatar professors,
having a discussion with your colleagues,
Learning at your own time with these avatars professors
and many more. some of the detailed descriptions have been given in the submitted files.
What we learned
This section can be entirely technical. All of the C++ and Blueprint part of a Multiplayer Game Development.
We have started developing some of the designs in MotionBuilder, previously we have been all using the Maya and Blender.
What's next for castme
1. We are looking for a tie-up with many colleges and universities. Some of the examples are Galgotiah University, Abdul Kalam Technical University (AKTU), IIT Roorkee, IIT Delhi.
2. Recording an abundance amount of the lecture motion capture data, for better training our (question-answering-motion capture data) machine learning model.
Try it out here:
Intro Demo (2 min):
https://youtu.be/Xm6KWg1YS3k
Complete Demo:
https://youtu.be/1h1ERaDKn6o
Download pipeline here:
https://www.castme.life/wp-content/uploads/2020/04/castme-life%20Win64%20v-2.1beta.zip
Documentation to use this pipeline:
https://www.castme.life/forums/topic/how-to-install-castme-life-win64-v-2-1beta/
Complete source code (1.44 GB):
https://drive.google.com/open?id=1GdTw9iONLywzPCoZbgekFFpZBLjJ3I1p
castme.life:
https://castme.life
More info
For more info on the project contact me here:
[email protected]
, +1626803601
Built With
blueprint
c++
php
python
pytorch
tensorflow
unreal-engine
wordpress
Try it out
castme.life
www.castme.life
github.com
www.castme.life | castme | We are revolutionizing the way the human learns. We uses the Avatar Professors to teach you in a virtual class.Talk to your professors,ask questions,have a discussion with your colleagues in realtime. | ['Md. Zeeshan', 'Rodrixx Studio'] | ['The Wolfram Award'] | ['blueprint', 'c++', 'php', 'python', 'pytorch', 'tensorflow', 'unreal-engine', 'wordpress'] | 20 |
9,951 | https://devpost.com/software/truth-seekers-5ofvy2 | Inspiration
News articles found online are usually from untrusted sources and are unverified. The community is at a high risk of falling into the trap of believing fake news articles. Spreading fake news can have severe repercussions such as heavy fines and possibly even jail time. Especially during this period of the pandemic, fake news can lead to mass panic.
What it does
Our application aims to curb the spread of fake news using the EOSIO blockchain platform, ensuring only reliable articles from trusted sources are promoted with the help of validation experts and by providing a community-driven platform.
How we built it
The web application was developed primarily using Node.js and Bootstrap with the EOSIO Javascript API for integration with EOSIO-based blockchain. The mobile application was developed using the Flutter SDK.
Challenges we ran into
One of the initial challenges we faced was the installation of the EOSIO CDT and the software platform. Furthermore, we also spent time familiarizing ourselves with the EOSIO Blockchain Platform and the recommended IDE, EOSIO Studio. But soon after, the platform was easy to use and thus, connect and integrate smart contracts with our application.
Accomplishments that we're proud of
We were successfully able to integrate the EOSIO blockchain platform in our application and thus ensure transparency through the voting transactions and more importantly, provide a secure platform to store the articles and their respective categories.
Additionally, we were able to develop a fully-functional cross-platform web and mobile application built using Node.js and Flutter respectively.
What we learned
We were able to learn extensively about the EOSIO blockchain platform, understand its salient features when compared to other blockchain vendors. Moreover, we have realized the vast potential of research necessary in this field especially during this time of the pandemic in order to enable reliable news from trusted sources.
What's next for Truth Seekers
We aim to partner up with sponsors to grow our reward and badges system. More importantly, be able to find a more optimum strategy to backup our scoring process, as well as, provide a global platform for qualified validators and users to combat fake news as a community.
Built With
adobe-creative-sdk
blockchain
eosio
flutter
node.js
Try it out
github.com | Truth Seekers | Curb the spread of fake news, ensuring only reliable articles from trusted sources are promoted with the help of validation experts and by providing a community-driven platform. | ['Rikesh Makwana', 'Aaishwarya Khalane', 'Alister Luiz', 'Bhargav Modha'] | ['The Wolfram Award'] | ['adobe-creative-sdk', 'blockchain', 'eosio', 'flutter', 'node.js'] | 21 |
9,951 | https://devpost.com/software/covi_fight | Inspiration
The virus has affected humanity in various ways, be it our economy, our freedom of movement, and the loss of loved ones. Then how do we live on, comfortably, and safely with this virus around?
Even after the lockdown is over, there is a massive possibility that traces of the virus will remain, and it can spread again.
We wanted to bring people back their mobility and keep them safe at the same time. We wanted people to know about their status while they leave their houses.
What it does
CoviFight alerts me about the risks of catching the virus if I have come in
contact with an infected person
within the past three weeks. It also informs the healthcare system accurately about the spread of infection.
CoviFight also generates a
map with hotspots for what places have virus traces
, so that people can prevent travelling at these places and authorities can sterilize or lockdown these places efficiently rather than having a complete lockdown of a country.
How we built it
We develop a three-tier app:
• A user's app
• A provider's app
• An official's portal.
While utilizing
Bluetooth and GPS
of your phone, CoviFight makes sure that the confidentiality of every individual is secured and can not be compromised. Data is encrypted using a secret key, and no one can view it without your permission. It only traces the past data of positively tested patients. This way, CoviFight also meets the
GDPR compliance.
By using
Geo-fencing and Machine Learning
, we predict your chances of catching the infection so that you can take preventive measures.
A provider's app for aggregation points like shops, restaurants, and public transport synchronizes with the nearby user app. This interface is the key to the detection of infection points, be it
a stationary workplace or a moving vehicle
. If McDonald's installed CoviFight and had an infected customer in the past 15 days, all the customers after the positive tested patient would get alerted, and hence the restaurant can be sterilized.
Only the medical system may update a person's status over the official's portal, and the
authenticity
of the app is maintained hence preventing
false positives
or self-reporting, which might lead to falsification of records.
So, with the help of our app, people can move around while being alerted about their status, stay away from the virus, and be free from the worry of their privacy maintenance at the same time.
Take a look at our demo by clicking
here
Challenges we ran into
To maintain the authenticity of the predictions and analysis, we were initially in a fix as to how to update a person's status as positive or negative. Then we decided to come up with a three-tier system, and we developed a Doc App or official's portal, which is only accessed by the medical system so that the authenticity is maintained.
No one else can manipulate the data.
Accomplishments that we're proud of
• We have made sure that the
privacy
of every individual is maintained and can not be compromised. The encryption algorithms meet the standards of the leading social networking apps existing in the market.
• CoviFight not only alerts people about their own risks but provides heatmaps of the traces of the virus too. CoviFight also shows what
specific restaurant or public transport( like a bus or a train) may be infected
precisely.
• We do not need to compare data between people, thus making
computation very cheap and exponentially faster and efficient.
Our Journey So Far
•
Winners( Runner up) in the #EUvsVirus, a Pan-European Hackathon
Organised by the European Innovation Council to counter COVID-19 pandemic with more than 9k participants and 2000 teams. We stood second in the Real time Communication and Prevention challenge.
•
Top 6 finalists of The Global Hack, by Garage48, April 2020
The Global Hack is a hackathon designed to share and rapidly develop ideas for urgently needed solutions in the face of the COVID-19 crisis, and to build resilience post-pandemic, with over 12k participants from 100+ countries. The team developed a mobile application solution for the containment and tracking of this virus. We were in the top 6 teams in the Crisis Response Track.
•
We were also in the Top 23 Student Innovators in COVID-19 SAMADHAN MHRD( Ministry of Human Resource Development, India) Mega Online Challenge
What we learned
It has been an enjoyable experience to work with people who have not even met each other before and still successfully develop this amazing app. We learned a lot through the hackathon, from interacting with the mentors and getting their guidance, to develop the app.
What's next for CoviFight
We plan
to get this deployed
at its earliest so that people may get their
safe mobility
back. We plan to deploy this on the Play Store and make a version for iOS as soon as we can.
We are also in touch with the Indian Government and we might be able to save lives in India also.
The necessities to continue the project:
• Approval from government authorities to implement and track data.
• Participation from Hospitals/government bodies to update the status of a patient so that system can generate realtime alerts and mark hotspots.
• Cloud resources to scale up the project. Currently limited by the free tier of cloud infrastructure.
The value of our solution after the crisis:
• This application can be used for any contagious disease management.
• It can be used in disaster management to understand the right victims and relief reaches all rightful beneficiaries( such as in the case of floods and storms).
• It can be used by Providers such as McDonald's and Public transport systems to implement targeted location-based marketing complying with data collection practices.
What we have done till now.
• Implemented masked identities for users to comply with GDPR and privacy requirements.
• Identification of hotspots in realtime based on the patient status update.
• Fixed bugs in the flow and to make it work E2E.
• Produced a product demo.
New Technology introduces
• Blockchain to manage user identification data(making it immutable), adding the security of ECC digital signature
• Moving from NoSQL mogoDB to a hybrid of BlockChain and GraphDB for better analysis and prediction while keeping the user's id secrete on the Graph
• Use of Kubernetes for creating multiple threads for gaining concurrency
•Adding caching mechanism to mobile devices to handle any kind of network failure.
Built With
firebase
google-directions
har
java
machine-learning
maps
python
Try it out
github.com
sidhantha.medium.com | CoviFight | A source - contact tracing app, CoviFight is a 3-tier solution that uses geo-fencing and machine learning to trace and track the COVID-19 spread | ['Shikhar Mathur', 'Anshuman Saboo', 'MANIT BASER', 'vishwas puri', 'Sidhantha Poddar', 'Yash Bhagat', 'Neil araujo', 'Navdeep Chawla'] | ['2nd Place Overall Winners', 'The Wolfram Award'] | ['firebase', 'google-directions', 'har', 'java', 'machine-learning', 'maps', 'python'] | 22 |
9,951 | https://devpost.com/software/covid-19-rescue | This is screen shot of the Corona Relief App Running on Microsoft PowerPlatform
Inspiration
I saw that many people who are poor or belongs to middle class families are facing Food Scarcity due to this Covid-19 Pandemic because their income source is stopped due to the Lockdown. There are many pregnants women, children, old aged people who are facing the same situation and they cannot afford food for them because they are in short of money and they are helpless.
I saw that many organizations are helping these kinds of people by are taking live call in Television Channels to address people problems and helping as they require. Only one calls can be taken at a time on a live television. Also, there will be problem of network Busy and those organizations cant reach many people in this way. So I thought to develop and application so that people can report their problem and the organizations will get to know about the problem and help them as they need.
What it does
Basically my app minimizes and speeds up the process of addressing people Problem so that their problems can be fixed as soon as possible in this Pandemic. So when the app runs, user will enter their name and they need to choose whether they want to request for Food Help(Basic Need Relief) or Corona Check(this is additional feature added in app) When they choose the Food Help or Basic Need Relief then they will be asked with several questions such as total family member, no of pregnant women, kids, old aged, and remaining food stock, and also a option to send an attachment.
Whereas, when people will choose the option for corona check then they will be asked with several questions like gender, what the symptoms seen on person so you are checking corona, has he came from abroad or not and so on..
.
Now, When the user will submit this information then these data will be recorded in Microsoft Sharepoint where the admin or the organization can view the problems or people along with the
GPS CORDINATES
and
Date
that will be automatically sent while submitting the problem inside the app.
Then from this information, the organization can directly go with the necessary relief to the needed families using the GPS Cordinates that is sent while submitting the app
How I built it
I built it using the Microsoft Power Platform
Challenges I ran into
I had learnt some Flutter. And I was trying to make this app using Flutter but my laptop got some ransomware and i lost my everything and I reformatted it again and installed flutter. I did made the forms but the conditional things, GPS Location and so on was very complex for me as I am beginner to Flutter. And learning everyconcepts from the beginning and developing the app would really be difficult and time consuming.
Then I heard about Microsoft Power Apps, I already had and idea and I just needed to implement it properly so I started learning Microsoft PowerApps and I tried to bring my idea to life. Using PowerPlatform also I had some Difficulties in Conditional Forms for Corona Check and Basic Need Relif. But finally I figured it our after couple of research.
Accomplishments that I'm proud of
I don
t know that the project I have made will be used by some organizations that are really doing these kinds of Relief Programmes but I think this app will really be helpful for them because if they can address many people problems in less time then they can provide reliefs to many people as possible and poor and needy people as well as middle class people who are deprived of food, pregnant womens, kids who are not getting nutritious food due to the Covid-19 Pandemic and lock down in the country will get relief and should not die out of hunger. Because we dont
t know how long this Pandemic is going to take place.
What I learned
I was complete beginner to Microsoft Power Platform. But I had an idea that must be implemented to help people so I started learning by heart and got to know many things about the Microsoft Power Apps and I think it also increased my creative skills and logical thinking capacity.
What's next for Covid-19 Rescue
Currently this app can be run under the Microsoft PowerPlatform only but it needs to be platform-independent. So I am planning to make it platform independent very soon if I will get some good mentors to support my project.I have also planned many other features in this app that can be really beneficial and helpful for the people facing Covid-19 Pandemic. I think this kinds of apps must be developed to address poor people`s problem who can be helped by the person who can help them.
Problem sending app demo link
Since it is dependent on Microsoft PowerPlatform. I require your email to show you this app. It must be opened within Microsoft Power Platform so i couldnot send the link but i have sent image on how it looks when the app is running and demo video for working of the app.
Built With
powerplatform | Corona Relief | My idea is to let the poor and middle class families get chance to request food help as well as Corona Check within the app so the helping organizations or teams can reach them with the solutions. | ['Naseeb Dangi'] | ['The Wolfram Award'] | ['powerplatform'] | 23 |
9,951 | https://devpost.com/software/cuty-your-ai-assistant-robot-for-covid-19 | Cough detection process overview and deep learning framework, https://doi.org/10.1145/3242587.3242609
Facial Expression Recognition Using Convolutional Neural Networks,https://www.youtube.com/watch?v=zXntbSlqjds
Framwork of heart rate measurement from facial video
Inspiration
During this pandemic, we always wish, if older/blind community have a companion to check their health status. They are more vulnerable to this disease and are little known to modern mobile applications/web applications etc. To
give them an alert when the heartbeat is above 100 bpm if they cough frequently give a notification and check their emotional status(so that they won't feel depressed)
. We made this bot for anyone who want to check their health-status and also get their questions answered, they can simply ask to CUTY. We made This AI partner
cheap and affordable
to the global community.
What it does
The bot constantly analyzes your face. Using computer vision and deep learning it will identify the strongest emotion and the current heart-rate,we set the heart-rate range 60-100 if it exceeds normal, cuty will identify it, along with that using an analog inbuilt microphone it recognizes the cough and counts it. Everything is save it as a plain text file and with a push of a button, CUTY will say,
Good morning sir, from the facial analysis you look happy and have a score of 8. Your heart rate is 62 beats per minute and it is normal, you have a moderate cough, and the cough count up till now is 15
. You can connect CUTY with your bluetooth audio system.
CUTY is completely offline, everything happens in the edge
, which means that it is
more secure
.
She can be mounted anywhere, on your desk, the table you are working, or near your laptop/TV.
How we are building it
Hardware
- AI single Board computer, 5 MP camera, analog/bluetooth audio system, 10000 mAh battery, 3.3V to 5V DC-DC boost converter, push button
Programming language
- Python
ML architectures/Frameworks
-TensorFlow, Caffe
API
- Keras
Libraries
-TensorFlow, dlib, opencv, scipy(signal processiong)
Deep learning techniques
- Face detection(caffe), emotion recognition(Keras with TensorFlow backned), Sound detection(Keras with TensorFlow backend)
Program specifications
Heart-rate detection
Principle:
detecting changes in sking color due to blood circulation and calculate heart-rate
Face detection using dlib library and get the Region Of Interest(ROI)
Apply a band pass filter to eliminate a range of frequencies
Average colour value of the ROI calculated and pushed to a data buffer
Apply Fast Fourier Transform to the data buffer. Highest peak is the heart-rate
Cough detection
Principle:
convolutional neural network(CNN) with Keras using TensorFlow backend
Collected sound data:
https://voice.mozilla.org/en/datasets
,
https://urbansounddataset.weebly.com/urbansound8k.html
,
https://github.com/hernanmd/COVID-19-train-audio/tree/master/not-covid19-coughs
Used transfer learning on the VGG-16 architecture Pre-trained on YouTube-8M for audio recognition
Save the keras model and used for real-time prediction
Emotion recognition
Principle:
CNN with Keras using TensorFlow backend
Dataset, FER2013 from Kaggle
Construct CNN with Keras using TensorFlow backend
Train the model from the given dataset
Face detection using Caffe based pre-trained deep learning model
Real-time emotion recognition and plot animated matplotlib graph from the output.
Challenges we ran into
Building the hardware system is one hell of a job. The entire program should run with a push button, means that after GPIO configuration three program ( cough recognition and counting, emotional recognition, heartbeat detection) should be multiprocessing and save the results in a single text file so that AI text to speech engine can convert to audio.
To make a wonderful case for the system also a challenge we faced.
Demo video editing is a tough job since we used open-sourced video editing software such as Kdenlive and olive for editing.
What have you built during this weeekend
Almost everything we made happens during this weekend. From programming to prototype, we connected CUTY with Bluetooth headset. Now you can hear CUTY even you are busy in your schedules, we made a customized AI- Single board computer that helps her to work fast. Built a wonderful case so that it looks neat.
Updates
: We made her small enough to fit in the palm, integrated Bio-BERT NLP engine, that is now she can hear you and reply to your query.
The value of the solution after the crisis
She can help anyone who needs to check their physical health, emotional health in real-time. This helps keep track of their overall health status during the regular work. We made CUTY exclusively for the community.
How can we scale it
Since SBC's are cheap and has a plenty in the market, same in the case of batteries, audio system and the case. Funding will helps us to make thousands.
What's next for CUTY- your AI assistant
Make a wonderful body for CUTY, we made the basic prototype on aluminium.
Integrating Alexa/Siri like systems in to CUTY
Integrating Natural Language Processing(NLP) & Natural Language Understanding(NLU) in CUTY
(
updates
: Integrated Bio-BERT in to CUTY)
Since CUTY can be connected to internet via WiFi and Ethernet, she can also be updated via online. We need to use a secured service for that. For that reason we didn't made her online yet, everything from deep learning prediction, analysis, text to speech happens in offline and in the edge but in future we will connect her to a secure server
CUTY uses
Reinforcement Learning(RL)
to improve herself, but this might be a little tough to handle, considering her computational capacity. Optimized Q-learning techniques are also under research.
Using
3D Convolutional Neural Network
for detection of heart rate. As of now CUTY uses computer vision and signal processing techniques such as Fast Fourier Transform(FFT) to detect heart rate. She is accurate as we tested against standard results, but the accuracy can be improved by integrating 3D CNN along with computer vision.
Reference
1.Gierad Laput, Karan Ahuja, Mayank Goel, and Chris Harrison. 2018. Ubicoustics: Plug-and-Play Acoustic Activity Recognition.
In The 31st Annual ACM Symposium on User Interface Software and Technology (UIST '18). ACM, New York, NY, USA, 213-224
Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, and Sudheendra Vijayanarasimhan. 2016.
Youtube-8M: A large-scale video classification benchmark
J. Amoh and K. Odame, "Deep Neural Networks for Identifying Cough Sounds,
" in IEEE Transactions on Biomedical Circuits and Systems, vol. 10, no. 5, pp. 1003-1011, Oct. 2016
I. D. S. Miranda, A. H. Diacon and T. R. Niesler,
"A Comparative Study of Features for Acoustic Cough Detection Using Deep Architectures*," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 2601-2605.
J. Amoh and K. Odame, "DeepCough: A deep convolutional neural network in a wearable cough detection system,
" 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), Atlanta, GA, 2015, pp. 1-4.
S. Shin, T. Hashimoto and S. Hatano, "Automatic Detection System for Cough Sounds as a Symptom of Abnormal Health Condition,
" in IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 4, pp. 486-493, July 2009.
Facial Expression
Recognition Using Convolutional Neural Networks
S. Li and W. Deng, "Deep Facial Expression Recognition: A Survey,
" in IEEE Transactions on Affective Computing.
M. Soleymani, S. Asghari-Esfeden, Y. Fu and M. Pantic, "Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection,
" in IEEE Transactions on Affective Computing, vol. 7, no. 1, pp. 17-28, 1 Jan.-March 2016.
Rahman, Hamidur & Ahmed, Mobyen & Begum, Shahina & Funk, Peter. (2016).
Real Time Heart Rate Monitoring from Facial RGB Color Video Using Webcam.
Poh, Ming-Zher, Daniel J. McDuff, and Rosalind W. Picard. “Non-contact, automated cardiac pulse measurements using video imaging and blind source separation.
” Optics Express 18 (2010): 10762. ©2011 Optical Society of America.
Built With
keras
opencv
python
tensorflow | CUTY- your AI assistant robot for COVID-19 | CUTY is an AI-based assistant robot. She helps you to check your health in real-time. by looking into your face and hearing your voice !!! | ['Nandakishor M'] | [] | ['keras', 'opencv', 'python', 'tensorflow'] | 24 |
9,951 | https://devpost.com/software/covid19-wingman | Landing Page (world covid data)
News Section
E-learning Section
Elearning-dance
Fitness
Healthy Meals
Inspiration
Our app was designed to inspire and motivate users to adopt and learn new skills during these challenging times. It is a platform meant to empower. This is needed now more than before as people tend to lose hope since job losses were rampant and the economy has spiraled. With our Covid19 Wingman as your "virtual assistant", the idea is that a single platform will help users stay informed and promote learning via virtual channels.
How it was built
Aastha worked on UI and News API implementation
Kai-Ann worked on the JSON API for the remainder of the categories we have outlined in the app
Challenges we ran into
We ran out of time and could not implement a lot of APIs we found. Our sprint for this project was only a few days. We ended up modifying JSON data at the last minute to meet MVP needs and this is how data is displayed for all of our sections except News. Aastha was able to successfully implement the News API.
Accomplishments that we're proud of
Being able to implement the News API and have a functional front-end design. Also learnt BLoC pattern and be able to implement it.
What's next for Covid19 Wingman
1) API Implementation for each section
2) Return User-refined data based on preferences and likes of the user
Built With
dart
flutter
google-maps
json
newsapi
Try it out
github.com | Covid19 Wingman | Your Virtual Assistant for just about anything! | ['Aastha Khatri'] | [] | ['dart', 'flutter', 'google-maps', 'json', 'newsapi'] | 25 |
9,951 | https://devpost.com/software/car-showroom | Themes:
4 . Going virtual
(f) Small businesses
Inspiration
The COVID-19 pandemic, and the lockdowns imposed to combat it, have wreaked havoc on the global economy. One of the hardest hit industries is also the largest one in Michigan, where we live: the automotive industry. Factories have been shut down, and dealerships have been closed.
This means there are drastically fewer cars for customers to choose from. It also means there isn’t a way for customers to see those cars to know if they want to buy them in the first place. Even when dealerships are allowed to reopen, safety regulations may prevent them from showing real cars because of the difficulty in disinfecting all of the soft inside surfaces after every customer.
That’s why we created cAR showroom. Our augmented reality app allows dealerships to upload detailed 3D car models so that customers can get close-up looks at the cars they want in real scale, in the real world, from the safety of their own homes.
What it does
Because of the intensely digitized nature of the car design and manufacturing process, every car manufacturer has highly detailed 3D models of all of their vehicles. With the COVID-19 pandemic limiting physical access to demo vehicles, cAR showroom allows car manufacturers and dealerships to use those 3D models to move their showrooms online using AR.
Dealerships sign up on our website, and upload a 2D picture of each vehicle, its 3D model, and information such as the Make, Model, and Year. We use that information to create a virtual showroom for each dealership, complete with its own unique web address. The dealerships can then send customers to those virtual showrooms, where they can sort through the available cars, and view models at real scale using AR.
How we built it
Our app is built using React.js and Material UI for the front end, Firebase for database and hosting, and echoAR for the 3D models. The dealerships enter the information about each of their cars, which is sent to the Firebase database, and uploaded to echoAR. We then pull the data down to the publicly facing website, where we use the echoAR models with Apple’s AR Kit to display the cars in AR!
Challenges we ran into
This is one of the most unique UIs that we’ve made using React and Material-UI, so we spent a lot of time customizing Material-UI to be the way we wanted, while still maintaining accessibility!
We also had to figure out how to get a unique link for each dealership. Normally, we would have used a package like nanoid to create a random string to guarantee uniqueness, but in doing so the link would not have been readable for the customer. Instead, we chose to use the dealership name, but we needed to safely encode it as a url. It turns out, however, that Firestore does not like ‘%’ in document ids, so we modified the string after being encoded to remove special characters that are valid in a url, but not in a Firestore document id.
Accomplishments that we're proud of
We’re really happy with how the final UI turned out! It really fits the idea and message of our hack, and looks super polished!
We’re also glad we were able to get echoAR working! We’re really happy with how well model upload and download is working, and echoAR makes dealing with the 3D models super easy.
What we learned
This was definitely a learning experience. Specifically, we learned a TON about how Material-UI works. We needed to go in depth with the grid to create the more customized layouts, and created our own card design, so that we could use our transparent grey motif. We also learned how to use some new components that we had never used before, such as the file drop container, and the autocomplete dropdown with typeahead for the search. We also worked a lot more with Material-UI themes, and while a lot of our changes never made it into the final app, we feel a lot more comfortable tweaking Material-UI to better suit the feel of our project.
What's next for cAR showroom
Expand the user base to: all car dealerships, including used cars; car shows (i.e. North American International Auto Show), etc.
Add searchable features, such as gas mileage and option packages
Add the ability for car enthusiasts to upload 3D models of their cars to show off
Include the option to upload cars before an event, such as the Woodward Dream Cruise, an antique car parade
Further integrate the app by adding Buy buttons with a link back to the dealership’s site
Built With
echoar
firebase
material-ui
react
Try it out
carshowroomar.web.app
github.com | cAR showroom | Before you buy, view cars in real scale in the safety of your own driveway using augmented reality. | ['Nathan Dimmer', 'Andrew Dimmer'] | [] | ['echoar', 'firebase', 'material-ui', 'react'] | 26 |
9,951 | https://devpost.com/software/c-care | When our app worked, Satisfied
Inspiration
During this current COVID 19 pandemic, I see health worker is curing the patients, doctors are innovating new medicine, the police is controlling the crowd movement and even bus drivers are helping people to get back to home. As a future engineer, I felt like my contribution is none, so I felt motivated to do my part and try to bring a positive change and to make sure my product can also be used in a future pandemic.
problem our project solves
Offices and workplaces are opening up and as the lockdown loosen we have to get back to work, but there is a massive possibility that infection can spread in our workplace as, When a person is infected he can be asymptomatic for up to 21 days and still be contagious, so the only way to contain the spread is by wearing a mask and maintaining hand hygiene. WHO and CDC report said that if everyone wears a mask and maintains hygiene then the number of cases can be reduced three folds. But HOW we will do that? , How can we make ever one habituated to the following safety precaution so the normalization can take place. So we have come up with a solution called C-CARE 1st ever preventive habit maker that will bring a positive change.
What our project does
Our app is 1st of its kind safety awareness system, which works on google geofencing API, in which it creates a geofence around the user home location and whenever the user leaves home, he will get a notification in the C-CARE app ( ' WEAR MASK ' ) and as the users return home he will get another notification ( ' WASH HANDS '), ensuring full safety of the user and their family. It is also loaded with additional features such as i.) HOTSPOT WARNING SYSTEM in which if the user enters into a COVID hotspot region he will be alerted to maintain 'SOCIAL DISTANCING' And it also has a statics board where the user can see how many times the user has visited each of these geofences. With repeated Notification, we will make people habituated of wear masks, washing hands, and social distancing which will make each and every one of us a COVID warrior, we are not only protecting ourselves but also protecting others, only with C-CARE.
Challenges we ran into
1,) we lack financial support as we have to make this app from scratch.
2.) the problem in collecting data regarding government-certified hotspot and also we have to do a lot of research regarding the spread pattern of COVID-19.
3.) Due to a lack of mentors, whenever the app stop working we had to figure out by ourself, how to correct the error.
4.) It took us too long to use it in real-time as during lockdown it was too hard to go outside in the quarantine but finally, after lockdown loosens a bit we tested it and it gave an excellent result.
5.) we didn't know much about geofencing before that so we have to learn it from scratch using youtube videos.
Accomplishments that we're proud of
WINNER at Global Hacks in the category of HEALTH AND MEDICINE.
WINNER at MacroHack As the best Android Application.
WINNER at MLH Hackcation in the category ( Our first Hackcation ).
TOP 5 in innovaTeen hacks.
TOP 10 in Restartindia.org and Hack the crisis Iceland.
What we learned
All team members of C-CARE were able to grow their area of competence by participating in the whole process of idea definition, market research, validation, prototyping, and presentation. Through different mentor sessions, we learned that problems could be approached by many means, but most importantly our mission should be clear.
What's next for C - CARE
COVID cases are increasing every day, and chances are low that we can create a vaccine immediately, apps like C-CARE will play a crucial role in lower the spread of infection till a proper vaccine is made.
Our app can also be used for seasonal diseases such as swine flu or bird flu or possible future pandemic such as Hantavirus, G4 Virus, bubonic flu, Monkeypox.
Built With
android-studio
geofence
google-maps
java
sqlite
Try it out
drive.google.com | C - CARE | C - CARE An app that makes every person a COVID warrior. | ['Anup Paikaray', 'Arnab Paikaray'] | ['Track Winner: Health and Medicine'] | ['android-studio', 'geofence', 'google-maps', 'java', 'sqlite'] | 27 |
9,951 | https://devpost.com/software/papr-light-ot8nlp | .
Try it out
devpost.com | . | . | ['Mohamed Hany', 'Salma H.Gamal'] | [] | [] | 28 |
9,951 | https://devpost.com/software/seniorsmiles | Two of the UI pages
Inspiration
We were inspired by the troubles that seniors and immuno-compromised people face during the COVID-19 pandemic. These people are under great risk of going into critical condition and dying from the virus, and we wanted to use technology to help them overcome the problems that they have to face. This app helps them receive essential items and includes personalized delivery which is meant to help keep them safe.
What It Does
SeniorSmiles is a mobile app developed to help seniors during the coronavirus pandemic. This app helps Senior Citizens request essential items from volunteers and receive them in a contact free manner to combat danger during these uncertain times. This app includes a map view, chat between volunteer and senior, notifications, and connections between volunteers and seniors to help them coordinate delivery.
How We Built It
SeniorSmiles is built with react native and specifically expo, so it is cross platform and can reach a larger audience. We also used Microsoft Azure to integrate machine learning in the app.
Challenges We Ran Into
While programming we had problems with implementing the chat. The backend for the chat was very hard to integrate with firebase and we also had to find a way to integrate a user interface for the chat. Additionally, we had problems with sending images through the chat, because it is important to send images of receipts for accurate payment and we had to figure out how to hold images in the firebase database.
Accomplishments That We're Proud Of
We are very proud of the chat that we were able to implement. We had custom image sending through camera and camera roll and we were able to implement a real time chat through firebase realtime database. This is great for seniors to stay in contact with volunteers while also keeping their information private. We are also proud of the machine learning age detection. We had to learn a new api and implement the age detection in an accurate manner to prevent from the userbase being flooded with users who are able to leave their house without a high risk.
What We Learned
Through this experience we were able to hone our react native skills and proceed on our track of mobile app development. We were also able to learn the science behind the Covid-19 virus and how it may affect different types of people. Finally, we learned more about UI through react native and how we can use modules to enhance our experience.
What's next for SeniorSmiles
While developing our app we noticed a local group working to solve a similar problem with the pandemic. They had no technology involved with their process and in the future we might want to contact them to help integrate our technology with their services.
Built With
azure
expo.io
npm
react-native
Try it out
github.com
docs.google.com | SeniorSmiles | The best way to supply the at risk population with essential supplies, while also keeping them safe. | ['AnirudhAdiraju Adiraju', 'Rahul Gupta'] | [] | ['azure', 'expo.io', 'npm', 'react-native'] | 29 |
9,951 | https://devpost.com/software/qr-contact-tracing | QR Code Page. Add person launches the QR scanner camera
Dashboard with "list" of people recently met
Inspiration
Last week, I received an email from my school district discussing ways to reopen schools in the fall. They were considering having 1/2 of the students on campus for 1 semester and the other half on the second semester, having teachers move from class to class instead of students, and all other types of scheduling nightmares in order to trace who comes into contact with who. After talking to my parents, I found out that their workplaces were also in a similar state of confusion as to how they could reopen a physical location while keeping track of who contacts who. Later that same day, I opened up Snapchat and noticed how they used a personalized QR code to add users to a personal friends "list." I also realized that almost every student at my school has a mobile device that they carry around all day. At that moment, I got the inspiration to create an app that is able to trace everyone a person comes into contact with via personalized QR codes like Snapchat.
How it helps
Without contact tracing, schools and companies are walking blindly into a dangerous situation. They must be able to know who has met who and who is infected with COVID. This app helps them accomplish this goal. School districts, small businesses, and large companies can all use this app to monitor which people their employees/students/customers meet. When the app tells them someone has COVID or is at risk of it, they can ensure no one else meets them in order to prevent others from getting infected.
How the app works is, after scanning someone's/a location's QR code, it takes all the people that person/location had come into contact with and adds it to your personal list with a time stamp. It monitors all of the people on your list until one of them changes their status to infected. When this happens, the app will notify you, change your status to "At-Risk", and notify all the people on your list that you are potentially infected with COVID and to avoid you.
What's next for QR Contact Tracing
One feature I was working on was using Bluetooth for proximity detection to check if someone is within 6 feet of you. Instead of using QR codes to add people to your contact "list" for one on one meetings, the app would automatically do it on its own and buzz to let you know you have "contacted" someone.
Built With
android-studio
java
Try it out
github.com | QR Code Tracin | Want to trace who you meet? My app uses custom QR codes to trace and monitor everyone you contact in a day. Go back to school safe! | ['Arnav Sangamnerkar'] | [] | ['android-studio', 'java'] | 30 |
9,951 | https://devpost.com/software/covid-19-data-dashboard | New Cases vs. Total Cases for the US
Cloropleth Map and Pie Chart for the US
Individual Country Data for Cases vs. Time
Inspiration
It's often hard to interpret numerical data, so we thought that it would be cool if we were able to help build an application for COVID-19 data visualization!
What it does
Our application takes data from the COVID-19 data Github repository made available by John Hopkins and creates visualizations from line graphs to cloropleth maps to pie charts.
How we built it
The application was made in the Dash API of Python. Initially, we did a lot of the data cleaning with pandas (in order to fit our specific structural needs) in order to get it in a usable form. After that, we set up the layout for a Dash app, made the necessary callbacks and functions, and figured out how to use Plotly and its graphing capabilities. Luckily, we did not have to use too much HTML since Dash handled a lot of that.
Challenges we ran into
Initially we tried using Flask and matplotlib, but it was hard to make graphs that looked nice. After doing a lot of research and trying stuff out, we realized that the Dash API was the best solution.
Accomplishments that we're proud of
Ultimately, this was our first experience using Dash, so we are proud of the final result that we got in terms of a relatively professional-looking website. It was nice to learn about Dash and all of its features, and we will be sure to use it for future projects!
What's next for COVID-19 Data Dashboard
We will try to add more visualizations in order to make the dashboard even better and more complete! We might try to find data other than that from John Hopkins as well in order to expand this project.
Built With
dash
python
Try it out
github.com | COVID-19 Data Dashboard | A Python Dash application which provides visualizations of COVID-19 data. | ['Aarush Gupta', 'Shikhar Ahuja'] | [] | ['dash', 'python'] | 31 |
9,951 | https://devpost.com/software/quet-makes-social-distancing-in-long-queues-possible | Selection after successful OTP authentication
Shopkeeper Details
Customer screen showing token number and waiting time
Inspiration
The motivation for this app comes from social distancing violations at wine shops all across India. Several people gathered at shops in long queues. Thus posing a health alert for COVID-19 local transmission.
People arrived in large numbers at wine shops. In the lockdown shops were allowed to operate only from 9am to 12pm daily in India. Thus people crowded shops for essential items violating social distancing. Shopkeepers risked their lives for fulfilling demand of so many people without proper management.
If there was a way people can wait in queues from their home itself, it would get lot more easier to come at the shop and purchase their items directly. No waiting at the shop. Thus no contact with strangers. No contact implies no local transmission of the virus.
Here are some articles of social distancing violations all across India :
link
link
link
link
link
link
What it does
The app is called
QueT
. It is a online token based solution for handling long waiting queues at shops. Recently there were many violations in social distancing of people standing in queue when wine shops were allowed to operate.
We take the complete queue online on our app. So people can join the queue from their home and arrive at the shop only once their token is about to arrive. They can even wait near the shop away from other people. But not in a queue.
With minimum contact with strangers you can visit a shop which for example has 100 people in the queue. Thus it is possible to follow social distancing even in such a long queue because you arrive at the shop only when it's your turn shortly.
Built With
expo.io
firebase
google-maps
react-native | QueT : Makes social distancing in long queues possible. | An app that takes people standing in a shop queue online. Helps to follow social distancing as you no longer have to be physically waiting. | ['Rehan Shaikh', 'laukik chavan'] | [] | ['expo.io', 'firebase', 'google-maps', 'react-native'] | 32 |
9,951 | https://devpost.com/software/bigfridge | BigFridge App Design
Business Model Canvas
Inspiration in Covid-19 Crisis
What is the problem about food during Covid-19 Pandemic?
There may be shortages in food supply and ambiguity in food demand due to lockdowns.
If the isolation period prolongs over months there can be shortages of some food. Some vegetables, fruits and grains cannot be planted for the next year because of social distancing is necessary for farmers. Some ingredients cannot be transported from local producers to other countries because the borders are closed.
Food stocks should be planned carefully in this disaster. Otherwise food will be a serious problem along with virus disease health issues.
In the coming months, local authorities, food producers, big companies and governments will require data. In normal times they use their own data and projection tools in order to plan the food demand properly and distribute evenly. But this is a crisis that the world had not been experienced before. Everything can fall into chaos. Supply chain might be disrupted. Demand routines might change abruptly. Chaos in food supply might cause serious destruction. Therefore accurate predictions are essential keys to handle this disaster.
What it does?
If we count what we have in every individual fridge, then we will be able to know the big data of all available food stock.
BigFridge is an app where individuals can contribute to the macro planning of food supply by providing information of what they have in their own household stocks and what they will need in the coming months.
When all food stock is gathered in the BigFridge’s pool, Big Data is provided to food producers, big grocery chains and local governments.
There are more than 1.2 billion households worldwide. The number of total population under the age 25 is more than 3 billion. We target 1% of these households to use this app, which is 12 million users. During this quarantine times, we expect the young members of the families will adopt this new app and contribute big food data while winning.
What's the future target of BigFridge - Implementation of AI
This study should be accepted as the first step and groundwork of a long-term project which will provide better projections of food demand. With BigFridge application, people around the world will be able to upload the existing food stock in their houses.
Sharing this information may build big data and when numerous fridges are analyzed, basis for accurate planning is obtained. For the progressing stages of the project, it will be enhanced with Artificial Intelligince algorithms resulting in more reliable predictions. AI will also be facilliated in order to provide customization for better user experience.
The value of the solution after the crisis
BigFridge is not developed just for providing a solution during this virus crisis. For times when life turns back its normal routine, BigFridge comprises exclusive solutions:
i) Prepaid orders provide win-win for consumers as well as food producers and big grocery stores. Users will receive significant discounts when pay beforehand and producers will feel quite safe because they will be able to plan their production according to what they have already sold.
ii) Control of excess food prevents waste. When using BigFridge app one organizes her/his fridge and checks what it is present there for 5 to 10 minutes. This is a necessary time interval that everyone should spend every week for controlling the expire status of the items in food stocks. If some of them are going to expire soon then you can push the donate button and BigFridge will inform the closest Food Bank to your home.
The necessities to continue the project
No piece of edible stuff should be wasted while there are people suffering from hunger.
Personal Level: If you have excess food and wish to donate, BigFridge app informs the local food bank nearby your location.
Society Level: If supply chain is planned according to accurate demand projections there will be less food to be wasted.
What we have learned?
While studying on this project we have learned to realize that personal privacy is important. It should not be violated or abused even we are in the middle of the hard circumstances of a global disaster.
Users may sign up as anonymous with nicknames in order to protect their privacy. However they should let the data they have uploaded to be shared with partner companies and related local government.
User profile of BigFridge requires 7 simple questions:
Age,
Gender,
Country and City,
Health Condition,
Education,
Income Level,
Number of people in the household.
What are the next steps?
What we have submitted as the mobile tool for this challenge is only the demo version of the coming product. We are working on developing the real app and it is going to finish soon. We have completed the first week of the project schedule below:
Week 1.
Brain storming, lean startup canvas, product design, app in demo version, web site
Week 2.
Graphic designs, coding, MVP, developing, IOS and Android app
Week 3.
Launching the app,promotions, digital marketing, user feed backs, initial sponsors
Week 4.
Agreements with data analytics business partner. Agreements with food producers, big grocery stores and state officials
Week 5.
Running the app and gathering big data. Implementing basic AI algorithms
Business Model Canvas
KEY PARTNERS
Key Partners in Food Production and Supply: (and/or)
i)Big Grocery Chains
ii)Online Grocery Companies
iii)Food Producers
Motivated by optimization in operations and stock control. Improvement in profit margins due to reduction in waste with prepaid orders.
Key Partners in Planning of Food Supply: (and/or)
i)Local Government Authorotiries
ii) Agriculture Departments and Bureaus
iii) Ministry of Food & Agriculture
Motivated by better coordination due to reduction of risk in food supply chain.
Key Partner in Data Analytics:
i) A reliable and trustworthy data analytics company in order to share data.
Motivated by the acquisition of particular data resources gathered by the app from the activities and personal information provided by BigFridge users.
KEY ACTIVITIES
i) Building and promoting an online medium (eg. ios/android mobile apps) for the users in order them to provide the data of their household food stocks.
ii) Making agreements with Big Grocery Chains and Online Grocery Markets about the gifts and discounts that they are going to offer to BigFridge Users.
iii) Organizing of the gathered raw data according to the partner Data Analytics Company’s requirements.
KEY RESOURCES
i) Creative designs and ideas are important in order to build this brand new mobile app. Our young and creative team members are the key resource.
ii) Strategic partneships and coloborations among food business circles is at the heart of this model. Our mentors and advisers are industry experts having +60 years experience totally.
VALUE PROPOSITIONS
VP for Users:
i) Being a part of the solution for the possible problems in Food Supply Chain.
ii) Receiving discounts, giftcards and paychecks for grocery shopping.
iii) Access to healthy meal recipes that can be prepared with the existing goods in the fridge.
VP for Food Poducers and Grocery Markets:
i) Prepaid orders provide win-win for consumers as well as food producers and big grocery stores. Producers will be able to plan their production better.
ii) If supply chain is planned according to accurate demand projections there will be less food to be wasted.
Characteristics:
Newness, Convenience, Accessibility, Design, Customization, Cost Reduction, Risk Reduction
CUSTOMER RELATIONSHIPS
BigFridge is positioned as a novel domestic mobile brand which provides some benefits and have fun when using it.
Therefore it is important to keep the online product of BigFridge always updated, attractive and functional by continuous flow of fresh content on easy cooking, healthy recipes, kitchen tips, food hygiene, etc.
Giftcards, paychecks, discounts and delightful surprises will be waiting for loyal users and BigFridge will soon become a love mark.
CHANNELS
The channel of the main business activity for user interface are Mobile Apps (ios/android). Promoting the mobile apps to reach as many young ypeople as possible will be held by digital and conventional marketting tools. Getting the support of local authorities and governments for promotion campaigns as well as cooperating with local communities and food banks are important in order to spread the usege of the apps. BigFridge is planned to be a part of the daily kitchen and grocery shopping routines of individual users.
CUSTOMER SEGMENTS
Young generation are the target customers while every person with a mobile phone who is willing to download an app can use BigFridge. It is so easy to use but there is a limitation in terms of place: It can only be used at home, in the kitchen. The user should look in the fridge and write down what is there, check the lists on the app, take photos of the food. When the weekly task is complete, the user receives a QR code and views the gifts. Although these activities are all simple and fun, people over 50 of age are generally not prone to use such apps.
There are more than 1.2 billion households worldwide. The number of total population under the age 25 is more than 3 billion. We target 1% of these households to use this app, which is 12 million users. During this quarantine times, we expect the young members of the families will adopt this new app and contribute big food data while winning.
COST STRUCTURE
BigFridge is value driven rather than costs. The requiriments for fixed costs are almost negligible and all the workers are paid in certain percentages of the income. Therefore they have to create revenue in order to be paid well.
Variable costs are due to digital marketting and promoting activities. All the operational activities are held within a cost sensitive perspective. No offices, no luxirius utilities. Costs like hosting and cloud storage are afforded by foundations supporting startups.
REVENUE STREAMS
BigtFridge app is free to use. No payment or fee is expected from the user. Similarly nothing is charged to partner Grocery Chains while they are expected to offer discounts, giftcards and paychecks frequently to loyal users while sponsorship supports are all welcome from partner companies.
When data of food stocks of the users are gathered, big data is provided to food producers, big grocery chains and local governments within the partnership of a data analytics company.
The customers of the partner data analytics company who are willing to pay are going to be the main source of income. Tehrefore the price or value of the collected data as a resource is going to be dynamic and depends on the negotiations according to current market circumstances.
Team
ARTUN AKDOGAN (21)
Sophomore in Electrical and Electronics Eng. Bogazici University /
QuID for Developers Certificate – ETH Zürich /
Applied AI Certificate – inzva (Sanctuary of the Turkish Hacker Community) /
Cyber Security Certificate – BUSIBER /
Excelled in Python and Linux /
github.com/artun-akdogan
ILAYDA ISERI (17)
Koc High School Junior /
Google Science Fair 2019 Regional Finalist with ‘The Woof Project’ /
MIT Research Science Institute Summer Program 2020, Candidate in the national short list /
Awards and honors in national math contests /
Studying to be a mathematician, composer, cartoonist and filmmaker.
BARKIN E. OKSUZ (15)
First year in Robert College, RC24 /
IDTech Camps in Game Design and Development, Stanford Campus, 2018 /
He builds web sites and apps, wants to be a gamer
Built With
appsheet
jawa
python
wix
Try it out
www.appsheet.com
oksbar24.wixsite.com | BigFridge - Big Data of Food | We build a bridge over fridges. BigFridge is an app where individuals contribute to the macro planning of food supply during the pandemic by providing data of what is already in their household stocks | ['Artun Akdogan', 'İlayda İşeri', 'Melsen Tunca', 'Barkın E. Öksüz'] | [] | ['appsheet', 'jawa', 'python', 'wix'] | 33 |
9,951 | https://devpost.com/software/smarttracker-covid19 | Inspiration :
Now a days whole world facing the novel Corona Virus, to track the spread of novel Corona Virus country-wise, details of confirmed cases, deaths and Recovered, awareness regarding COVID-19. This Android app was created to spread awareness about the covid -19 virus.
What it does :
The Android app named as ‘SmartTracker-Covid-19’ created to spread awareness about the COVID -19 virus. App includes following functionalities:
CoronaEx Section -
This section having following sub components:
• News tab: Having latest new updates. Fake news seems to be spreading just as fast as the virus but as we have integrated from official sources so everyone will be aware from fake news.
• World Statistic tab: Real-time Dashboard that tracks the recent cases of covid-19 across the world.
• India Statistic tab: Coronavirus cases across different states in India with relevant death and recovered cases.
• Prevention tab: Some Prevention to be carried out in order to defeat corona.
CoronaQuiz section - quiz that will help people know about the Corona virus and its effects on human body. It chooses random questions and show the correct answer for the questions and at the end user will get to know their highest score.
Helpline Section - As this application particularly made for Indian citizen to use, all state helpline number of India included.
Chatbot Section - A self-assisted bot made for the people navigate corona virus situation.
Common Questions: Start screening,what is COVID-19? , What are the symptoms?
How we built it :
We built with using Android studio. For the quiz section we have used sqlite database and live news data we have integrated from the News API. For the coronavirus statistic we have collected data from worldometer and coronameter.
Challenges we ran into :
At time of integrating the chatbot in application.
Accomplishments that we're proud of :
Though , It was the first attempt to create chatbot.we have tried to up our level at some extent.
What's next for SmartTracker-COVID19 :
For the better conversation we will be looking to work more on chatbot.
Built With
android-studio
chatbot
java
news
quiz
sqlite
Try it out
github.com | SmartTracker-COVID-19 | Android app to track the spread of Corona Virus (COVID-19). | ['Pramod Paratabadi', 'Supriya Shivanand Madiwal .'] | ['Best Use of Microsoft Azure'] | ['android-studio', 'chatbot', 'java', 'news', 'quiz', 'sqlite'] | 34 |
9,951 | https://devpost.com/software/decentralized-pandemic-reserve-dpr | DPR Logo
Voting on Need using R-Value
Inspiration
As hospitals and essential businesses compete for necessary supplies, the identification of need is skewed by racial, political, and socio-economic biases. Policies are being driven by short-sighted and inaccurate data with little understanding of the virus’’s real-time effective reproductive number, leaving communities left scrambling for an effective plan of action. We are inspired by the DAO's ability to function without hierarchical management, removing biases and hopefully giving a voice back to people instead of skewed policy leaders during a time of global crisis.
What it does
The Decentralized Pandemic Reserve (DPR) aims to create an autonomous supply chain consortium that matches individual and manufacturer resources with the areas most in need. Our end-to-end solution solves issues with data storage, data retrieval, data validity, supply chain, and governance. By using a predictive model to identify the coronavirus’s real-time, effective reproduction number, training that model with A DAO supported by decentralized voters and assessing proposals of hospitals or entities in need of resources against data models of activity (healthcare.gov/covid or healthdata.org/covid) to deliver supply.
How we built it
PySyft is a Python library for secure and private Deep Learning. PySyft decouples private data from model training, using
Federated Learning
,
Differential Privacy
, and Encrypted Computation (like Multi-Party Computation (MPC) and Homomorphic Encryption (HE)) within the main Deep Learning frameworks like PyTorch and TensorFlow.
We deployed the jupyter notebook, and used
PySyft
,
OpenMined
and
PyGrid
to implement Differential Privacy and Federated Learning on the model.
For the DAO component, we utilized Aragon and it's smart contracts for ease of deployment, token functions, and voting mechanism. A React front end ties together the data component, a DAO component, and R values and other data from jupyter notebook and the OCEAN protocol.
Challenges we ran into
Initially, we were too consumed with figuring out the supply chain component, but quickly realized we could leverage cohorts such as
https://make4covid.co/
and others across the globe to handle supplies and manufacturing production to meet demand. Since they are a growing coalition of designers, engineers and manufacturers, we could shift our project to focusing on distribution and areas of greatest need.
Accomplishments that we're proud of
We were able to stream line the data being used to understand COVID from the daily amount of reported cases to the coronavirus’s real-time, effective reproduction number, or its actual ability to spread at a particular time. By using this data we are able to continuously train the model with a DAO putting the power of choice back into the hands of the people. A modified voting mechanism with informed data points informs the community about relevant information such as supply recipient, location, (R) infection rate, and reputation.
What we learned
We learned that people are afraid and feel powerless as decisions are being made that they have little say or control over. We also learned that our project is modular and can be replicated to solve for more than just this use case. We have a centrally build a decentralized and global data science department.
What's next for Decentralized Pandemic Reserve (DPR)
We hope to gain feedback and insight from the Devpost community and continue building our project as we believe it will have long-term scalable impact. We believe DPR has the potential to decentralize voting, force decision making and price transparency and build the data economy of the future. It can be used for a variety of supply chains, but more importantly, it will eventually with enough training, reduces the amount of human bias and mode from the decision chain.
[presentation]
https://docs.google.com/presentation/d/1JOKOpt5lD0M9_JQbWPOhPo9YH1qLv3inADb9C5DItlQ/edit?usp=sharing
)
Built With
aragon
dao
juypter
ocean
python
react
Try it out
github.com
indigotheory.invisionapp.com | Decentralized Pandemic Reserve (DPR) | DPR is an R-value backed DAO matching individual and manufacturer resources with the areas most in need. We're solving pandemics with data driven consensus and governance. | ['RISHABH CHAKRABARTY', 'Alex Gardner', 'William Sterling', 'Ron Stoner', 'Rahul Bishnoi'] | ['1st place'] | ['aragon', 'dao', 'juypter', 'ocean', 'python', 'react'] | 35 |
9,951 | https://devpost.com/software/covid-heal | Home page
Information on how to stay healthy
Face Touch Reminder with Artificial Intelligence
Live news
Remedies, memes, quotes, and videos
Inspiration
As a result of the current situation, the COVID-19 pandemic, our fellow family and friends are in a state of urgency. As of right now, the problem is that we have not been able to find a cure for COVID-19. With lockdowns happening everywhere, people are staying at home, quarantined, we realized that the world is in a dire situation and requires a lot of help. So, we (three high school students) decided to help out by creating a web app.
What It Does
COVID-HEAL encompasses many different and helpful functionalities:
•Built-In Artificial Intelligence that will detect when you are touching your face when on your computer and then notify you. This functionality works even in the background and is accurate at catching when you are picking your nose.
•The latest news about the COVID-19 virus based on your location.
•A live meter of the number of cases, deaths, and recoveries.
•A relax page that takes away the "corona-anxiety" that everyone is getting. This page includes light-hearted jokes and memes, special music that is proven to heal disease, and motivational quotes. On top of that, this page provides helpful tips and strategies credited by nurses and doctors to help you stay healthy at home.
How We Built It
This app is built using many languages and frameworks. The frontend is built with HTML, CSS, JQuery, and Bootstrap and the backend is built using Node.js. The frameworks and APIs we used were Tensorflow, Smartable, Bootstrap, Express.js and Forismatic. These languages & frameworks allowed us to make the web app responsive, use accurate data on COVID-19, and effectively use Artificial Intelligence.
Since we couldn’t meet each other, we planned through voice chats & voice calls. For the version control system, we used Git, and we deployed the web app using Heroku.
We decided to divide and conquer when building the app in order to use our time efficiently. Labdhi worked on a majority of the frontend, which involved designing the web app. Ashay worked on the backend and Artificial Intelligence feature, which involved implementing the Machine Learning models. Sohum worked with the APIs that gave us data on news, statistics, and memes.
Challenges We Ran Into
We found that it was a bit difficult planning & coding when we weren’t able to see each other in person, but we became flexible and learned to use Google Docs, voice calls, and Git.
Often, we came into issues when we weren’t able to merge/combine our code without conflicts. We solved this problem by using Git and using an iterative process when combining our code.
Accomplishments That We Are Proud Of
Within 4 days, we accomplished many coding feats and incorporated unique features. We were able to use machine learning models that could effectively detect when someone touches their face. We were able to pull data from numerous sources using APIs and display this information. Most importantly, we were able to deploy the web app, obtain a custom domain name for the app, covidheal.org, and spread awareness.
What We Learned
Throughout the 4 days we worked on COVID-HEAL, we had the opportunity to learn a lot. Coding-wise, we sharpened our knowledge on the application development process, from brain-storming to deploying. We learned how to effectively use Git to develop a web app. We also learned how to deploy the app on Heroku and add a custom domain name to the app.
Along with that, we learned how to use our coding skills to help out and spread awareness. We got to ask people what they are really in need of to fight against COVID-19. With the current situation, no one holds an antidote to save COVID-19 patients and that has caused a lot of unnecessary fear. We made it our goal to take this fear away, and provide a sense of positiveness and security to people around the world. This is a new and unique idea different from the existing media already in place because it gives a positive vibe rather than a cynical one.
What's Next For COVID-HEAL
Even though our web app is already up and running, there are several future steps we have in mind. We hope to make this web app more specific & interactive in future versions. The website can be made more specific to the user by giving more local news such as events occurring in the users hometown that are related to the coronavirus. More information about clean practices that limit the spread of the virus for people in quarantine would be beneficial as well as more references to numbers that can be called for further questions about the virus. Also, we believe that adding more at-home precautions and treatments would spark a lot of interest.
Built With
bootstrap
css3
html5
javascript
node.js
opencv
smartable
tensorflow
Try it out
covidheal.org | COVID-HEAL | An all-in-one tool, COVID-HEAL reminds you every time you touch your face, will keep you updated to the latest news based on your location, and provide helpful tips and strategies to avoid COVID-19. | ['Labdhi Jain', 'Sohum Bhole', 'Ashay Parikh'] | ['Challenge Winner'] | ['bootstrap', 'css3', 'html5', 'javascript', 'node.js', 'opencv', 'smartable', 'tensorflow'] | 36 |
9,951 | https://devpost.com/software/stay-local | Inspiration
Covid-19 has taken a toll on local businesses. We developed this extension in an effort to raise awareness for this issue and make it easier for consumers to support their local businesses.
What it does
Stay Local adds a small house icon onto local business listings on Google so you can easily see which restaurants and stores are locally owned. It also adds a small Black Lives Matter symbol onto black-owned stores on sites like Etsy.
How We built it
We built the front end using HTML and CSS. The identification of businesses is built using javascript and calls to our own API. Our backend is built on NodeJS on Cloud Functions, and Gin Go on Google Cloud Kubernetes engine.
Challenges we ran into
Backend:
Dockerizing and writing a
docker-compose.yml
file was very hard. We went with PostgreSQL rather than MySQL, because I have experience with AWS Aurora, but AWS didn't sponsor this event, and PostgreSQL is closer to it than MySQL. We had a series of problems with port forwarding, however once we realized how simple PostgreSQL is everything came easily. Our final struggle was moving our system onto Google Cloud Kubernetes engine which was surprisingly easily after everything else.
Front end:
Writing fetch requests
Embedding HTML
Accomplishments that we're proud of
Backend:
When I built the Golang Kubernetes API, we followed a tutorial. But after doing everything it said nothing worked. I got so annoyed I copied their code because I thought maybe I had done a step wrong, but their source code didn't work either! After 2 hours of debugging, I caught the bug in their code, and I submitted a PR to their Github Repo to fix it.
This was my first time working with Kubernetes, and though I have been studying Golang for a few weeks, this is my first project with it. I'm proud that it works!
Front end:
Working extension
Pretty website
What we learned
Learned a lot about Golang
Learned about Kubernetes
Learned about Javascript fetch requests
What's next for Stay Local
Currently, our extension only works on a few select sites, in the future, we'd like to expand our database and make it more versatile to better identify locally-owned and black-owned businesses.
Built With
css
dart
docker
gin
golang
html
javascript
kubernetes
postgresql
Try it out
github.com
local-businesss.web.app | Stay Local | An extension that identifies locally owned and black owned businesses | ['Ken Myers', 'Michelle Nguyen', 'Benjamin Swerdlow'] | ['Amazon Gift Card', 'Wolfram|One Personal Edition + 1 year subscribtion to Wolfram|Alpha Pro', 'Sublime text personal license'] | ['css', 'dart', 'docker', 'gin', 'golang', 'html', 'javascript', 'kubernetes', 'postgresql'] | 37 |
9,951 | https://devpost.com/software/covidmity-me8vur | Inspiration
Our team was inspired to create the Covidmity website after witnessing the strength in our own communities during the Covid-19 pandemic. We wanted to spread that solidarity to other communities through creating a website with simple tips and checklists to help adults and children make better choices during this troubled time.
What it does
The tip randomizer allows users to click a button for randomly generated tips(relating to Covid-19) for 4 different categories. They were “Helping Your Kids with Online Classes”, “Dealing with Teenagers' Concerns”, “Easing Your Child's Anxiety about Covid-19”, and “Self Care Tips.” With each randomly generated paragraph comes its partner image. The COVID Resource guide allows users to input the number of family members they have and accordingly be given the quantity needed for 3 necessities. Additionally, the web app sits on your desktop and be clicks at any time of the day to pull the best and most reliable news. After entering your personal info the app can either get you the best stocks of the day and the best coronavirus updates. It's simple UI and easy to use features are what makes it stand apart from the rest.
How we built it
The website aesthetic was built using HTML, CSS, and Javascript. The background images were from Videezy, a site that offers backgrounds that have the license of free to use. The logic behind the randomizer involved Javascript. For each of the 4 categories, we stored the tips into 4 variables, created 4 corresponding images that were also stored, and then put them into 2 separate lists. Using math. random we generated random selections and displayed them. For the resource guide, we designed the table and used Javascript to take the user input and translate it into a result on the table. The web app was built using Kivy, a python library for web app development after I laid out the framework for the app I used a separate function to hold the financial news and used a personal Robinhood account to get relevant information from the robin_stocks API. After this, the NewsPuller.py was created using the NewsAPI and then the parameters for the news were tweaked to get the best and most relevant news; we had to whittle down over 300k headlines. Eventually, the classes were put together and a Grid class for UI purposes contained all the relevant event triggers.
Challenges we ran into
Initially, we planned to have one randomizer button on the homepage, and when the user clicked on it, they would be directed to a page with the same title as the random button text. That was impossible to do at the time, so we changed the project to have a randomizer for each of the 4 categories. In addition, this was our first time using moving background images, so it was a struggle to get all the other elements to display in their proper places. For the web app, the hardest part was perfecting the UI, which is something we were very new too. Eventually, however, we were able to learn from the documentation.
Accomplishments that we're proud of
We are very proud of how the design turned out. The moving background images especially were the icing on the cake, as well as the consistent style between pages. We are also happy that the randomizer works perfectly!
The web app was something new for our team and we are happy we were able to complete it so well in such a short time frame.
What we learned
We learned through designing the website how to randomize items in Javascript as well as utilizing movable background images smoothly in HTML files. We also learned a lot about the Kivy python library for making web apps.
What's next for Covidmity
What’s next for the covidmity website is to include more information in the randomizer, and include a general login/signup. The site would also include a price/store database in the resource guide for the user to find desired products most efficiently and to frequently display products the user needs based on their profile. We also want to clean up the UI for the web app to make it more visually appealing.
Built With
html
javascript
kivy
newsapi
python
robin-stock
robin-stocks
spyder
Try it out
swethatandri.github.io | Covidmity | Here at Covidmity, we believe that a culmination of tips, tools, and resources are key to making it past this pandemic. At Covidmity, we build community. | ['Swetha Tandri', 'Adarsh Bulusu', 'Lavanya Neti'] | [] | ['html', 'javascript', 'kivy', 'newsapi', 'python', 'robin-stock', 'robin-stocks', 'spyder'] | 38 |
9,951 | https://devpost.com/software/plasmune | Inspiration
the desire to help those in need as the pandemic is becoming more widespread, and the danger of it affecting those high-risk patients is getting closer. Convalescent plasma transfusion is the hope for those patients who are in the critical illness stage (5% of COVID-19 patients), and a lot of the recovered patients are willing to help.
What it does
An easy Connection way between donors, hospitals, and patients.
How I built it
Using Adobe XD
Challenges I ran into
The challenge of time
Accomplishments that I'm proud of
Being able to make a change even if it is small. helping people and saving lives
What I learned
How to work under stress
What's next for Plasmune
An update to help people with mental disorders
Built With
mobile
uikit
xd
Try it out
xd.adobe.com | Plasmune | Plasmune is a mobile application that helps the hospitals to find plasma donors to help COVID-19 patients | ['basant omaira', 'Ganna Soliman', 'Ahmed Mamdouh', 'Salma Alaa', 'Basmala kamal'] | [] | ['mobile', 'uikit', 'xd'] | 39 |
9,951 | https://devpost.com/software/quizmeet-a-better-online-learning-experience | QuizMeet: A Better Online Learning Experience
A fun new way to learn online
A great tool for teachers
A blast for students
Transform your online classroom today!
Inspiration
I have been a middle school science teacher for 8 years. The pandemic has created challenges for educators and students that we've never experienced before. From an educator's standpoint, we lose the personal and relationship-building aspect of our job that is essential for serving our youth. As a student, it's difficult to engage and interact with your teachers and peers. School is a place for our students to socialize, connect, and grow together. We want our project to streamline the online learning process and improve the virtual classroom experience for both teachers and students.
What it does
QuizMeet is a Chrome Extension that will enhance the virtual classroom experience on Google Meet. The extension allows teachers to create and post multiple-choice questions to all participants within the video meeting. Participants are able to interact directly within Google Meet's interface in real time to answer those questions. This extension will eliminate the need to share screens, open additional tabs, enter class codes, or use additional devices. As a teacher, you will still be able to see your students' video in Sidebar Layout view while seeing your students' responses immediately after each question. For students, this offers an engaging and interactive atmosphere that is often missing in an online setting. They can earn points based on accuracy and speed to climb up the leader board, which is updated after the answer is revealed. This form of competitive educational gaming is extremely popular in the classroom and QuizMeet makes it accessible even during distance learning. This gives them the opportunity for normalcy and social interactions under these extreme circumstances.
How I built it
The concept and design of the project is based on the popular education website Kahoot! The front end portion of QuizMeet is a Chrome extension built with VueJS. The backend is a python flask server behind an nginx reverse proxy, deployed on a GCP virtual machine. Quiz participants are linked together on a cross-origin websocket connection. Quiz questions are currently hard-coded in the backend. We took some ideas from the open source Chrome extension Nod to help scrape user data from Google Meet.
Challenges I ran into
We originally wanted to integrate with the online quiz platform Kahoot!, but Kahoot! doesn’t provide a public API.
Accomplishments that I'm proud of
Smoothly integrating with the Google Meet UI.
Setting up a cross-origin, secure websocket backend.
Asymmetric initialization for teachers and students.
What I learned
The websocket protocol
nginx configuration for SSL and websockets
Using VueJS as a chrome extension
What's next for QuizMeet: A Better Online Learning Experience
The extension is based on the extremely popular education website Kahoot!. Unfortunately their API is not available at this time. If Kahoot! makes their API available, then we can directly integrate it with QuizMeet.
Developing an interface for teachers to create the questions.
Supporting other browsers besides Chrome.
Making QuizMeet compatible with other video conferencing tools like Zoom.
Exploring potential for mobile devices.
Built With
figma
flask
javascript
python
sublime-text
vue.js
Try it out
srblum.github.io | QuizMeet: A Better Online Learning Experience | We allow teachers and students to directly interact within Google Meet’s interface to create a dynamic learning environment. | ['Mo Chen', 'Sean Blum', 'Lei Fu'] | [] | ['figma', 'flask', 'javascript', 'python', 'sublime-text', 'vue.js'] | 40 |
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