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9,986 | https://devpost.com/software/quarantimes-classroom-yb9n3z | Inspiration
Bad internet making Zoom calls unusable
What it does
Allows teaching over slow internet speeds without loss of quality.
How I built it
Its a concept as of now
Built With
node.js | Quarantimes Classroom | A text based Classroom | ['Arth Gupta'] | [] | ['node.js'] | 16 |
9,986 | https://devpost.com/software/god-s-eye-0mfrei | After Prediction
Before Prediction.
Inspiration: As I am watching issue faced by our Government Officials, I develop this Project.
What it does: It helps Government to Stay at a distance, and report can be taken from Infected as well as Qurantined people.
How I built it: I train my model by Machine learning(YOLO DARKNET) on python.
Challenges I ran into: To collect data to train my model.
Accomplishments that I'm proud of I build what I dreamed.
What I learned how to face problem and solve them.
What's next for God's Eye I will try to make more interactive User interface.
Built With
darkent
machine-learning
python
yolo
Try it out
github.com | God's Eye | During this Pandemiic time, Our government officials are facing problems to maintain discipline of Stay Qurantine and Maximum Number of People roaming around. To overcome this, I developed God's Eye. | ['HITESHKUMAR GUPTA'] | [] | ['darkent', 'machine-learning', 'python', 'yolo'] | 17 |
9,986 | https://devpost.com/software/algedi | Initial interface
afterwards
Inspiration
According to the CDC, hand-washing is one of the most effective methods of preventing the spread of coronavirus. However, access to restrooms is not always easy to find, especially in public areas. Thus, I decided to build a website that would allow anyone with an internet connection to find the closest restrooms in a city.
What it does
Algedi displays a map with pointers indicating nearby restrooms. Restrooms can be found either by searching near the user as determined by geolocation, or imputing a city name. The city name can be inputted through typing or by voice recognition. Hovering over a restroom pin gives more information like how to access the restroom and a link to the address on Google Maps.
How I built it
I used React for the front-end, with a wrapper for the Google Maps API. Restroom info was received from the refugeerestrooms.org API through Express. Voice recognition was achieved through the Web Speech API from MDN, which uses ML models to interpret speech.
Challenges I ran into
I had much difficulty dropping map points based on data received from the restroom API. Thus, I found a wrapper class for React that allowed me to add points on a map by updating state. In addition, I also struggled with displaying information about restrooms after they had been received. The fix was to store the corresponding information of each point in the state and change the displayed information upon hovering over a point. The voice recognition also required the testing of several different APIs before I settled on the MDN API, which combined the power of ML with an easy implementation.
Accomplishments that I'm proud of
I'm proud of being able to tie together React and Express in an app that runs smoothly and is able to interact with 3rd party APIs. I hope this tool is able to assist others.
What I learned
I learned that React has powerful features that allow for well crafted and dynamic websites. I also learned about how to use Express.
What's next for Algedi
Including directions from your location to nearby restrooms.
Adding user feedback to restrooms.
Built With
express.js
react
refugeerestrooms.org
Try it out
algedi-2020.herokuapp.com | Algedi | An intuitive and accessible for finding publicly available restrooms. | [] | [] | ['express.js', 'react', 'refugeerestrooms.org'] | 18 |
9,986 | https://devpost.com/software/teens_take_on_covid_hackathon | Welcome Screen - Enter name, email
Enter COVID-19 rating
Enter need
Enter gender
Enter age group
Enter language
Enter location - country
Enter calendar availability
List choices made
Possible Connection details provided by app
Title: Help Staying Connected while Social Distancing
Purpose:
Children and teens get bored staying inside the home all the time.
Facebook and other social sites do not provide the correct logic and tools to search for appropriate friends having similar background, interests, and hobbies.
My app helps the kids target and connect with other friends matching their interests and background including:
Age Group
Country location
Language
Gender
Availability
And need like playing games, somebody to talk to, having study friends, watching a movie
Github Location:
https://github.com/ninjab3381/teens_take_on_covid_hackathon
Technical Logic:
The app prompts the user to provide information on their background profile including their age group, country location, language, gender, availability
It also prompts the user for their needs and interest like playing games, somebody to talk to, having study friends, watching a movie
Once the information has been gathered, an algorithm matches the user to other users with similar needs and interests
The algorithm will send a message to the users asking them their interest to be matched with the user.
The user data is persisted in a database for matching with other users.
Technologies Used:
Xcode version 11.4.1
Swift programming language
iOS simulator
Impact:
The app will be very useful during the current COVID-19 pandemic.
Kids (and even adults) feel alone and bored.
It is a challenge to search for friends having similar interests and needs
As such, this app will be very useful and widely used to search for and connect with friends having common background and needs.
Built With
makefile
objective-c
perl
shell
swift
xcode
Try it out
github.com | App for Help Staying Connected while Social Distancing | App for Help Staying Connected while Social Distancing | ['Niranjan Bhatia'] | [] | ['makefile', 'objective-c', 'perl', 'shell', 'swift', 'xcode'] | 19 |
9,986 | https://devpost.com/software/skillup-8e0ypr | GIF
Is your education hampered from the pandemic situation of COVID-19?
We are a group of Northeastern University students from India, that designed an mobile application to make education more fun and interactive.During this pandemic situation,the world is going through a tough time in each sector and one of them is education,where the students from the developing countries are affected the most.
Drawing from our personal experience carrying from India, we know there are lot of remote places in India,Africa,Nepal and other developing countries who still face issues with electricity supplies and constant high-speed internet connectivity.
We always had a desire to contribute back to this developing nations where online education(e-learning) platform can be made easily accessible in low bandwidth network connection as well,without hampering time the students spend at home.
To pave out how and continue your studies and make it more interactive and gamified for mind-refreshment, we have SkillUp app for free of charge e-learning courses, you name it and that we have it to form the education hurdle-less.
SkillUp knowledge sharing platform provides reports supported content and users, helping to spot the requirements of your training system.
Key/Important Features:
WhatsApp Integration
Quickly pull content on your mobile if you run through the limited Internet facility.Permission controls allow you to control which users can view your skills and learn along with you.
Gamification
Up-voting features encourage students to participate and involve with the community.Play games in between to make the sessions more interactive and mind-refresher.
Secure
SkillUp uses extremely secure cloud infrastructure to ensure the material you upload/download is secure and kept confidential.
COVID-19 Learning
Want to know more about the stats about the COVID-19 cases in your County, State on one-click on mobile application.
User Friendly
The simple and clean interface ensures that the platform is easy-to-use and intuitive.Create a group and start learning virtually together.
Built With
balsamiq
ibm-cloud
invision
java
javascript
slack
Try it out
www.producthunt.com | SkillUp | SkillUp helps you continue your studies and learn new skills through free interactive courses, fun games to play along with your friends in low-bandwidth connection. | ['Hemant Jain', 'Jayshil Jain', 'Akash M Dubey', 'Sagar Shah'] | [] | ['balsamiq', 'ibm-cloud', 'invision', 'java', 'javascript', 'slack'] | 20 |
9,986 | https://devpost.com/software/liquay | Model of the Liquay
Inspiration
As I was relaxing at my desk, watching a youtube video on different Asian snacks, one part of the video got my attention. As the vlogger was talking about the mountain of snacks piled on the check out table, I noticed that instead of directly handing money to the cashier, he placed it on a tray. The cashier then took the money and placed some coins on that same try. Teeming with curiosity, I did a quick Google search.
What it does
The Liquay offers a place to put money so that the cashier and the customer don't need to directly touch each other to complete an in-person transaction. This system of putting money in trains originally comes from Japan, but I am just making my own version with a few changes due to the coronavirus. In addition, it's meant to be cleaned at the end of each day because of all the money that it touched.
How I built it
I first made a model of the tray in Autodesk Fusion 360, then I made a simple website to display some of the information about my project. Then after I made a presentation, I published it to youtube and began learning how to edit the video well.
Challenges I ran into
Since it's been a long time since I've used Autodesk Fusion 360, I had to relearn the basics and even some advanced techniques to bring out the best in the model. Plus, my computer's GUI isn't optimal for Fusion 360 so there was a plethora of crashes and problems that I ran into.
Accomplishments that I'm proud of
I'm proud of launching my first, complete, individual project on DevPost. Plus I'm really proud of relearning some design and implementation techniques in Autodesk Fusion 360.
What I learned
I learned about basic and advanced techniques in Autodesk Fusion 360. I learned how to solve some of the problems with my GUI and learned a little more deeply in Computer Hardware.
What's next for Liquay
All I'm really looking forward to do is to inspire someone more qualified to release products and hope that the community improves based of this idea. I just hope that the negative side effects of the coronavirus become alleviated thorough our hardwork and determination.
Built With
autodesk-fusion-360
css3
html5
javascript
w3s-css
Try it out
rashstha.netlify.app | Liquay | A CAD-Designed Cash Tray to leverage direct contact in places like stores | ['Rashmit Shrestha'] | [] | ['autodesk-fusion-360', 'css3', 'html5', 'javascript', 'w3s-css'] | 21 |
9,986 | https://devpost.com/software/face-mask-detection-security-camera | Inspiration
I saw many posted videos online, where many customers at stores were being asked to leave unless they wore a mask due to the current COVID-19 pandemic. In my opinion, I think the store workers are working too hard when dealing with many of these customers which is why I thought of an idea that could help with maintaining the number of people that enter a store and how many that wear masks.
What it does
The web camera connected to the raspberry pi would capture photos then check for how many people are wearing masks. It will also display it on a screen. Then, it will save the data from that day and time into a folder with the entry logs of the customers separated by date. These logs can be read in a python file and can be checked on by the staff when needed.
How I built it
I started by trying to make a classifier for masks on my laptop, but I quickly changed to base it off of what facial features are detected. Since I had a Raspberry PI, I thought I could make the camera more portable and also have multiple (because Raspberry PIs are cheaper than laptops). I took some old facial feature classifiers I used in the past that were saved on my laptop, transferred them to the Raspberry PI, and changed the program to check for a nose feature and mouth feature in each face. Then, I made a state for "mask" and "no mask" to draw the bounding boxes with the respective colours and text. After, I added a counter for the number of people wearing masks and the number of people not wearing masks in each frame. Next, I tried making the counters saveable in a "logs" folder with text files separated by date. Finally, I added a new python file to read the files from the "logs" folder from a command line instead of manually going to the folders and looking for a file by date. In total, I believe I have spent around 20-30 hours on this project (I was not actually keeping track of it).
Challenges I ran into
I first tried to make a classifier for masks, but I could not find datasets with everybody wearing masks of different types (because not all masks look the same due to the shortage of surgical masks and I did not want to judge customers that were not able to get surgical masks). Because of this, I changed to detecting masks based on whether the mouth and nose facial features were detected.
I haven't used the raspberry PI in a long time and I was not very experienced with it, so I had some issues connecting the raspberry PI to my computer through PuTTY and VNC Viewer. After a while, I finally got connected to my raspberry PI through my laptop. My project is meant to be based on my laptop, but for my comfort, I decided to do everything on an HDMI display until I finished.
I tried using a PI camera at first and I had no idea how to stream videos and capture multiple frames with it. There were so many different methods (that I tried later on), but each came with different issues that I did not know how to handle which lead me to use a method that works with all cameras (VideoStream).
On the PI camera, I ran into some quality issues (I do not know why, but I think it is because my PI camera is at least a year old and I have not kept it in a safe place). After a long while, I realized I had a USB web camera and decided to switch to that.
I found that the streaming from the raspberry PI was significantly slow (and it was even slower with cascade classifiers running) and tried many other solutions. Yet again, I was still inexperienced with the PI camera and general streaming that I decided to decrease the resolution to increase the speed.
## Accomplishments that I'm proud of
Classifying masks on a raspberry PI is the biggest accomplishment I am proud of.
## What I learned
I learned how to use the Raspberry PI console and many commands that aren't on Windows, stream videos on a raspberry PI and edit the frames, use a pi camera and webcam, use a touchscreen LCD display, and file manipulation.
## What's next for Face Mask Detection Security Camera
In the future, I want to create a GUI for accessing the logs so it is more user friendly. I also want to improve the general aspects such as the camera stream speed and the detection accuracy. Some additional features I would like to add would be a speaker to alert people not wearing a mask to wear a mask before entering the store and a way to notify the staff when somebody without a mask enters the store so they do not have to stand by the door and personally watch for people that are not wearing a mask.
Built With
cv2
imutils
machine-learning
numpy
python
raspberrypi
webcamera
Try it out
github.com | Face Mask Detection Security Camera | A security camera (which can be used in stores) that detects whether a person is wearing a face-mask or not when they enter the store | ['Eric Zhang'] | [] | ['cv2', 'imutils', 'machine-learning', 'numpy', 'python', 'raspberrypi', 'webcamera'] | 22 |
9,986 | https://devpost.com/software/interactive-coronavirus-data | Here is what it looks like
Inspiration
A few weeks ago, I found out about Unity VR, and fortunately I had an old daydream VR lying around. With that, I just hopped into VR and decided to create something similar to my previous coronavirus hackathon project: an informational program.
What it does
Unfortunately, my partner and I started severely late and realized that setup will take more time than we thought. We started out trying to use the Echo AR app but we ran into multiple problems using it, so we decided to not use it for time sake.
How we built it
I handled the UI while my partner handled the backend. I used unity to create the UI. My partner tried to retrieve information that we could display on the app; however, we realized that we needed to host our database on some service to retrieve our data and ran into a lot of problems
Challenges we ran into
Honestly, the program doesn't work. But one challenge we ran into was trying to connect unity with our database. We decided to use mySQL database to write our data into. We didn't have time to host our server and write code to retrieve and input data, so we left that out. Other that, the UI wasn't to hard to put together and I didn't have any problems with that.
Accomplishments that we are proud of
I am proud of the UI that I built. I like the feel of it and I know that if we were able to get it working it would look great. My partner would be proud of his work that he put into trying to set up the database and put data into it.
What we learned
Obviously, that time is everything. If we managed our time better and planned this out better, we wouldn't have as many problems. Also, to start simple. I think we overestimated and next time we will make sure that we know what we are up against and exactly what tools, languages, APIs, etc. we need.
What's next for Interactive Coronavirus Data
First thing is to actually get the project working. We would start with the database and guarantee we can get that working. I would also make sure that I can retrieve the information from the database when the app is running on my phone. Lastly, if we can get this working, we would just expand the UI more, including more features like interactability, graphics, etc.
Built With
c#
googlevr
mysql
unity
Try it out
github.com
docs.google.com | Interactive Coronavirus Data | A fun way to learn about coronavirus | ['Arvind Ganeshkumar', 'Yug Mittal'] | [] | ['c#', 'googlevr', 'mysql', 'unity'] | 23 |
9,986 | https://devpost.com/software/safer-store | Inspiration
Hundreds of millions of Americans are under lockdown, and with the number of new cases slowly dropping day by day, the possibility of reopening society becomes more and more of a reality. However, the big question remains — when will it be safe to venture out of the safety of your own home? One of our team members asked this question when his mother refused to let him go buy groceries from a nearby store. “What if the employees don’t wear gloves or masks? How can we be sure that the store is clean? What if you bump into someone who has COVID-19?”, she asked. His mother isn’t the only one who shares these concerns. So many people are scared to venture out of their own homes due to the fear that their favorite grocery stores do not practice social distancing and do not comply with health and safety standards. Our app, Safer Store, hopes to solve this problem and alleviate the worries of millions of precautious Americans by providing crowd-sourced information that reflects the hygiene standards of local businesses in context of the COVID-19 crisis. Our app empowers the community to make informed decisions about visiting public venues based on information provided by fellow members of the community.
What it does
Our application is 100% crowd-sourced. After visiting a store, individuals simply have to download the app, search for the store, and add their rating. They can rate the store based on seven data points:
Overall impression of safety and hygiene within the store/business? [1-5]
How well does the store enforce social distancing? [1-5]
Do the employees wear gloves? [Yes/No]
Do the employees wear masks? [Yes/No]
Does the business limit the amount of items you can buy? If so, which items? [Yes/No]
Are there any common items that have been recently unavailable? If so, which items? [Yes/No]
A general review regarding their experience [Text]
Now, before visiting a restaurant, grocery store, or small business, individuals can make informed decisions about venturing out of their homes based on the reviews of that given venue. After visiting the store, users can add more credibility to certain reviews by upvoting and downvoting them. Our app empowers the community to make informed decisions about visiting public venues based on information provided by fellow members of the community.
How I built it
We built our app using Google Firebase and the Google Maps API
Challenges I ran into
We initially ran into some problems regarding user data with Google Firebase. This was our first time creating a data-centric mobile application and this was definitely a learning curve for all of our team members. Additionally, our team had limited experience in mobile app development, but by relying on wonderful, free resources such as the Android Development Studio documentation, youtube, and TutorialsPoint, we were able to make a successful prototype application.
Accomplishments that I'm proud of
This was our team’s first full-fledged, data-centric mobile application and we’re proud of what we could achieve this week!
What I learned
We learned the basics of Google Firebase and enhanced our skills with App Development.
What's next for the App
For our next steps, we want to add upvote and downvote features so users can see how reliable an answer truly is. In addition, we would like to explore integrating the Yelp API within our application. Future UI improvements can be made to improve data visualization.
Built With
firebase
google-maps
Try it out
sauravgandhi.wixsite.com | Safer Store | Safer Store is an app that provides crowd-sourced information which reflects the hygiene standards of a local businesses in context of the COVID-19 crisis. | ['Saurav Gandhi', 'Shailee Nanavati', 'Sohan Nannra'] | [] | ['firebase', 'google-maps'] | 24 |
9,986 | https://devpost.com/software/online-learning-toolkit | Inspiration
We are high school students and we noticed during the Covid-19 pandemic that our secondary teachers needed a better way of creating and sharing Google Meet links with their students. For instance, many times, they wanted to schedule a Google Meet in advance, but the links expired, and they were not able to do this. Other times, they simply wanted to create breakout Meets, but had to ask one of the students to create meet links for them.
What it does
The teacher will open a .csv file in their application of choice (Excel, Numbers, TextEdit, etc) and input student information (name, nationality, gender, class, email).
The teacher will then be able to pick a class file to open - e.g. AP Statistics class, Honours English, IB Mathematics HL, etc.
The teacher will then be able to create a specified number of student groups inside the class by splitting students in different ways, including:
randomly
students will be randomly grouped.
homeroom
students from different homerooms will be mixed together
nationality
students from different nationalities will be mixed together
gender
groups will include both males and females, not just a single sex.
manual
teachers will decide the groups
The teacher will then be able to choose between two options:
a. Automatically create
Google Meet
/
Zoom
call links for each group and invite the members of each group via email. The teacher can specify additional information to send along with the link in the email, such as "Please join this meet and discuss with your group members"
b. Simply view the groups
How we built it
The app was written in pure Java using JavaFX (no FXML or Scene Builder used). Since we were a team of two, instead of using Git, we used a real time collaboration software as this was more convenient for us.
Challenges we ran into
We were debating over
whether to use JavaFX FXML or standalone JavaFX
. During the project, we tried to use Java FXML, but we didn't know it very well and we found it was time consuming, so we decided to create the entire project with
pure JavaFX
. This was quite challenging, especially when changing scenes. The files also got large quickly and remaining organised was difficult.
The biggest challenge we ran into was
exporting the Java file as an executable .jar file
. We tried to export projects created in more recent versions of Java such as Java 14 (the most recent version), but that required the use of either Maven or Gradle - most likely because JavaFX is no longer part of the JDK since JDK 8. Since nothing worked out for us, we decided to use JDK 8 instead, as it supported most of the key features we heavily relied on - lambda expressions, streams, etc.
Accomplishments that we're proud of
It was our first hackathon, we didn't expect we'd manage to finish on time, so the biggest accomplishment would be creating a presentable, actually useful piece of software!
What we learned
We learnt to use Selenium to create Google Meet and Zoom links, and we learnt to use the Java Mail API to send emails to other users.
What's next for Online Learning Toolkit
Using actual Google APIs instead of Selenium web drivers
Using Zoom API (if we don't have to pay..?)
Add support for more browsers and email vendors other than Chrome and Gmail
Add support for more video call options other than Google Meet and Zoom such as Skype or FaceTime.
Taking attendance using Google's APIs, if possible - we tried to do this using Selenium, but unfortunately, it didn't work :(
Built With
java
selenium
Try it out
github.com | Online Learning Toolkit | A smart group generator for teachers | ['Steven Oh'] | [] | ['java', 'selenium'] | 25 |
9,986 | https://devpost.com/software/major-league-gardening | Inspiration
Our team was inspired by the social issues surrounding the COVID-19 outbreak. The biggest challenge we saw was that people could no longer go outside and get fresh air. Rather, they were confined to their daily routines at home. This could get depressing, which is why we wanted to create an app that allows users to go outside, connect with others, and still practice social distancing at the same time. Major League Gardening takes casual Gardening to the next level, giving users the incentive to go outside to garden and compete with fellow gardeners all across the world through a competitive social media application.
What it does
The app is designed as a social media platform for gardeners to share their plants with others and participate in playful gardening challenges/missions to learn more about gardening. The competitive nature of the app allows users to take on new gardening projects to "level up" and compare their scores with friends and other gardeners around the world. You can view a feed of all the users you follow as well as upload and share pictures of your own plants. The app even offers videos and articles from professional gardeners to welcome beginners. All in all, this is your one-stop-shop for the ultimate gardening experience.
How we built it
We built the mockup of the app on Adobe Xd. The demo video was created by a voiceover over the Adobe Xd prototype with visuals from iMovie and Canva.
Challenges we ran into
We had some design issues when it came to actually develop the interface of the app. Some buttons and scroll features weren't working, and the search bar of the feed would oddly stick onto the posts. We were able to solve the problems by working together and layering various textures to make the search bars and buttons feel more natural and integrated into the software.
Accomplishments that we're proud of
We were really proud to have a full working prototype of the Major League Gardening App. It was an unbelievable feeling to see our project come to life and overcome the barriers of which were stopping us. From learning several new platforms in less than a day such as Adobe XD and illustrator to creating a successful prototype that functions extraordinarily, it was an amazing experience.
What we learned
Regardless of the outcome, we want to start to invest our time into making the prototype a reality, and actually work on the back-end of the app and code a basic social media platform exclusively for gardeners. This would make our dreams of becoming entrepreneurs a reality and take us one step closer to achieving our goals. We are inspired by emerging technologies like AI and want to improve our platform to ensure that millions of users are satisfied with our work. With the recognition that comes with winning such a prestigious event, we would like to scale our business and enter new markets around the world to maximize our potential growth. Throw market penetration, globalization and creating a reality from our prototype, we hope to make a significant impact in the world.
Built With
adobe-illustrator
adobe-xd | Major League Gardening | An interactive platform for aspiring gardeners to share, learn and compete with those in the community. | ['Jay Sharma', 'Somesh Karthi', 'Sneh Shah', 'Aamodit Acharya'] | [] | ['adobe-illustrator', 'adobe-xd'] | 26 |
9,986 | https://devpost.com/software/foodbutler-mfeo6r | FoodButler
Google Assistant Project for finding nearest grocery store with a given item.
This project was done as part of the hackathon
https://teens-take-on-covid.devpost.com/
About
This project uses Google Assistant as a user interface. This allows user to use normal English to shop for everday grocery items such as bread and milk.
The google assistant then responds with the store which has the requested item and which is also closest to the user.
This project uses LocationIQ for getting the geocoordinates of the stores.
It gets the location of the user using permissions from Google Assistant.
It then finds the store which is closest to the user.
The information about the stores is stored in a Postgress database hosted by Heroku.
The custom webhook used by Google Assistant for this project is also hosted on Heroku using Tomcat.
Components:
1. Dialogflow:
The exported Dialogflow file is in
Other/FoodButler.zip
You can import it into your Dialogflow projects.
Defines the intents for:
Listing the stores (
List
)
Getting the closest store given an item (
user_location
and
FindFood
)
Welcome (
Default Welcome Intent
) and Goodbye intent (
End
)
Sample invocations:
Find me milk
Find me bread
List
Thank you
done
2. LocationIQ
This project uses a free location APIs from
LocationIQ
.
You can set uo your account and change the key in the
HTTPClient.java
file
Forward Geocoding API was used to get the geocoordinates of the supported stores.
3. Postgress Datatbase
The Postgress Database was used to store detailes of the supported grocery stores.
It currently only has a handfull of local grocery stores.
More can be added to the
stores
table.
The items supported sucha as bread, milk are in the
stock
table.
The sql dump is in
Other/sqlfile.sql
.
4. Webhook
The webhook is coded in Java and it is hosted on Heroku using tomcat.
Maven is used to assemble the webapp.
The
GoogleWebhook.java
gets the call from Google Assistant and then it access the databuse using the
DBHelper.java
and gets the geocoordinates from
HTTPClient.java
and then calculates the distance using the
DistanceCalculator.java
.
Built With
java
plpgsql
Try it out
github.com | FoodButler | Google Assistant Project for finding nearest grocery store with a given item. | ['raaghav agarwal'] | [] | ['java', 'plpgsql'] | 27 |
9,986 | https://devpost.com/software/tp-craze-09c7m6 | Home Screen
Sign up popup
Login Screen
Find Item Screen
Store Listing Screen
Status Screen
Initial Status Update Screen
Inspiration
When we first heard about the severe shortage of toilet paper and hand sanitizer in stores across the country, we came up with an idea to make people’s lives easier in today’s chaotic society. The problem we identified was that if stores were out of hand sanitizer or toilet paper, both relatively essential goods in a time of pandemic, people making trips to these stores were not only wasteful but needlessly increased the risk surface of that given individual; making a trip for nothing but yet increasing their risk of contracting the sickness.
To fix this problem, we decided to take inspiration from Waze and many other live-data crowdsourcing apps that don’t rely on stores and their management teams, but instead to get data directly from the customers visiting stores to provide the most accurate and up to date information. This way, people won’t have to travel to or call numerous stores, wasting time while also coming up empty-handed. Also, any unnecessary travel would further expose consumers to the virus.
What it does
TP-Craze compiles crowdsourced data about the real-time availability of certain items to create a summary of which stores in a user’s region actually have key supplies such as hand sanitizer and toilet paper in stock. We allow the user to input their address, the search radius, and the item they hope to buy (as of now toilet paper and hand sanitizer). The user will then be provided a listing of stores with the existing item in stock and a corresponding icon to indicate how much of the item is in stock as per the latest status update. The user can then choose to select a certain store and view all the status updates. Additionally, the user can submit a status update for a particular item and store near them by first creating an account and navigating to the desired store. The user can choose from one of the five status levels (“Full Stock” to “None Left”). Finally, if a store manager contacts us and provides the necessary credentials, we can add them as an administrator for their store by providing them with a unique store id that they can input during sign up. Any store manager updates are indicated distinctly in the web GUI. Below we present a walkthrough for our application:
Walkthrough
To create an account, click the “Sign Up” button in the upper right-hand corner. Fill in the data fields of Email Address, Username, and Password. The Store ID field is optional, and should only be used by store owners. Click Sign Up to finalize your account creation.
Once you have been logged in, you can create specific status updates of a store (you need to be logged in to avoid spam for providing status updates, but anybody can look up stores without being logged in).
Let’s start by providing status to a store in your area. Click the “Provide Status” button to find specific inventory information of stores in your area. Here, you can enter an address to find stores in your area. As of now, we only support stores in the states of Massachusetts, Connecticut, and Rhode Island (United States of America) and regions in the area. If you do not live in this area, feel free to type in the sample addresses we have listed. Choose which item you want to provide a status for, as well as the search radius from the listed address. Click Search.
Once you are on the specific store page, you can add a specific status update for the specific item of the store. The drop-down menu to the left contains specific descriptions of inventory status. Choose one (for example, say that Hand Sanitizer is in full stock), and click “Submit Status”.
You should see a new status update appear to the right. This is a status update made by a customer; store managers will have specific tags differentiating them from customers.
Once again, you can search for a store in the same way that was described above. Search using the same address.
Click on the store that shows up (this should be the same store that you provided the data for) and click “View” to see the specific store information. If no stores show up in the search query, click “Back” and search with another address or radius. This is because we avoid providing information on stores for which we have no data.
The page that shows up should show all information of the specific store you have searched, including Address, Phone Number, and all past inventory status updates. To go back to the home page, click the TP-Craze Logo.
How I built it
To build the project, we drew on what skills we knew best. We knew that we would require integration into outside mapping services, likely via APIs, while also querying databases. Therefore, we chose the micro web framework Python Flask for the backend because of its versatility and flexibility through WTForms. For user authentication, we used Google’s Firebase platform because we wanted to allow users to login securely and responsibly as user data in transit is encrypted via HTTPS. We employed the Tomtom API for both geocoding and geographic search, because it was relatively cheap but allowed us to scale while providing category-based querying. Finally, we store update reports and stores in a MySQL database. All of this is hosted in Microsoft Azure, which allows us to have deployment slots in production and development, as well as integrating their Kudu build service for direct access from a private Git repository.
The MySQL database first had to be populated with a list of stores: we used a querying system not dissimilar to an archaeological grid in order to query the TomTom database to get granular detail on almost every single relevant store in the desired view frame. Then, we assigned every user who signed up in the Google Firebase authentication database with a unique ID, which matches up with their entries into the logs of each product. This would then be queried to display the most recent status for stores close to the user.
Challenges I ran into
A big decision we had to make early on was how to manage logins of users and store owners. Our group has some cybersecurity background, so we know that managing passwords responsibly and implementing a secure login system was key. Creating and managing our own authentication service could be insecure, so we decided to hand off authentication to a third party either via SSO or a first-party solution we could tie in. Therefore, we decided on using Google Firebase early on, which provided a secure, trustworthy authentication service for users. However, one challenge we ran into was how we should give permissions to store owners/managers/employees; we obviously wanted the status of a trusted update from these store members to be differentiated from the average customer, much like social media has ‘verified’ users.
Our team created an “admin”-level user, which was originally planned to be given to storeowners. However, we eventually decided on giving “admin” status to the developers of the website, and instead of giving specific Store IDs to store owners who will authenticate their status.
Accomplishments that I'm proud of
Our biggest accomplishment was migrating our hosted service from a platform that wasn’t suited to our needs to a big-name cloud provider. The initial deployment was in a service called PythonAnywhere, which was rather difficult to use. Therefore, we made the decision to move to a paid cloud provider that was more mainstream and conventional; Azure fit our needs the best. Moving resources from PythonAnywhere to Azure was a nontrivial task, but we accomplished it relatively quickly, and doing so also allowed us to upgrade some of the infrastructures and make some parts of our code more “best-practice”.
We are also very proud of our search algorithm that undercuts the limitations of the Tomtom search API. The Tomtom search API allowed us to only set a bounding box with coordinates and returned a maximum of 100 results in 20 “pages”. By setting sub-bounding boxes and variability manipulating size, we were able to improve store resolution and get a complete list of stores within the roughly 10,000 stores in the test region, for instance. This approach results in a scalable method that only needs to be run once.
Finally, we are proud of the general look and feel of our website which we achieved through the CSS Materialize Framework. We feel that it is crisp and streamlined without being overbearing.
Overall, we are proud of learning many new skills and how we could utilize these skills and apply them in ways outside of the classroom, in a time where self-motivation is key.
What I learned
In a major project like TPCraze that required a lot of work and input from several different team members, we learned the importance of effective collaboration and time management in development scenarios.
Also, coming into the project, we did not know much about databases and MySQL. This hackathon provided a perfect opportunity to learn about databases, database security, etc.
We learned how to utilize multiple open source APIs such as the TomTom and Firebase APIs. These skills will be crucial in the future as interacting with open source APIs is a very common industry practice.
What's next for TP-Craze
This project is mostly a proof-of-concept. As a group of high school juniors and seniors, we’ve been pretty stressed about college applications and our future plans for this fall respectively, and we’ve been working on APs concurrently, meaning what little time we have left over is being poured into this.
In the future, we plan to expand our product to more regions, implement an inframe map viewer to see where stores are in Flask, staggering access and store recommendations as to not overwhelm in-inventory stores with customers, and implement more native security features like two-factor authentication and SSO via Firebase. We also plan to upgrade from a pre-populated store list to a list of stores that could expand on the fly as users from new regions join. Finally, we hope to expand the number of products that we support beyond toilet paper to hand sanitizer.
Built With
firebase
flask
html5
javascript
jquery
mysql
python
Try it out
tpcraze.com
github.com | TP-Craze | TP-Craze is a web-based app designed to help consumers stay up-to-date on the inventory levels of essential goods, such as toilet paper and hand sanitizer, at nearby stores. | ['Jason Liang', 'Ethan Mendes', 'Matthew Ding', 'Jerry Xu'] | [] | ['firebase', 'flask', 'html5', 'javascript', 'jquery', 'mysql', 'python'] | 28 |
9,986 | https://devpost.com/software/tcdr | icon
Logo
Inspiration
Scientific literature too complicated to understand? Flooded with too many news articles? Use TC,DR! to simplify the information overload about COVID-19!
Theme
Our project's theme is: Collecting, visualizing, and sharing information.
What it does
Our web app has three components:
News Feed - Displays all relevant news articles relating to COVID-19, along with a credibility score calculated using a machine learning model trained from scratch to calculate the credibility of news articles
News Search Bar - Confused about whether to trust an article? Paste the article URL to find the credibility of the article!
Scientific Literature Search and Summary - Unsure about the current progress in the scientific literature? Uncomfortable with reading complicated research papers? Enter your query to receive links to relevant papers and a summary of the findings!
How We built it
The web app is built using two machine learning models: firstly an xgboost model that has been trained on a dataset we collected for this hackathon to predict the credibility of news articles, and secondly the BART summarizer, a state-of-the-art seq2seq natural language processing model finetuned on scientific research papers that distils information from the scientific research papers into simple summaries that are easily understandable by audiences from all backgrounds.
For the news feed, we call the google news API to fetch news articles related to COVID. Then, we call the machine learning model to predict the credibility score of the article.
For the news search bar, we use the newspaper library to scrape the article from the link and obtain the text of the article. Then, we call on the machine learning model to predict the credibility score of the article.
For the scientific literature search and summary, we call the PubMed API to return scientific papers relating to the COVID query. Then, we use the BART summarizer to summarize the text of the scientific paper and display it along with the title and link of the paper.
Impact of our Project
We hope our project can help clear up the large amount of uncertainty and unease surrounding the COVID-19 pandemic by keeping users informed about the latest developments through the news feed, while also helping them make more informed decisions as to whether to trust the article or not. Furthermore, the scientific literature search and summary aims to empower people who are do not have an extensive background in academia to easily understand what is going on in the current research community. This will help prepare us for the future, to fight against misinformation and empower people to take charge of their situation.
Challenges I ran into
We had issues connecting a
Flask
Backend to a
React
Frontend due to the very little documentation available. This took up most of our time.
Since we are a two-people team, it was difficult to accomplish so many things: coding the frontend, backend, training the ML models, and finally connecting the Flask backend to the React frontend.
Accomplishments that we are proud of
We are proud of giving something back to the tech community that helps us with the smallest bugs we have to the biggest technology we want to learn. We are also proud to be helpful to help in this fight with the covid-19 pandemic.
What we learned
We learnt to perform so many tasks in a short period of time, being in different timezones, it was even difficult for us to collaborate but we managed really well.
What's next for TC,DR! - Too Complicated Didn't Read
We hope to deploy the website online so it is accessible to everyone to use.
How to go about our project
There are two github repositories.
One having the frontend, when started runs on port:3000.
The other having the code for backend and the flask server, which when run, runs on port:5000
Built With
bert
flask
machine-learning
natural-language-processing
react
xgboost
Try it out
github.com
github.com | TCDR - Too Complicated Didn't Read | Scientific literature too complicated to understand? Flooded with too many news articles? Use TCDR to simplify the information overload about COVID! | ['Aarush Bhat', 'Haohui Liu'] | [] | ['bert', 'flask', 'machine-learning', 'natural-language-processing', 'react', 'xgboost'] | 29 |
9,986 | https://devpost.com/software/sneaker-sonar | Inspiration
At the start of quarantine, I decided to start reselling in hopes of curing my boredom and making some side income. I know there are many sites out there that provide specific information about shoe releases, but I haven’t found a place that includes all the information in one place, that’s why I created Sneaker Sonar to make the life’s of resellers easy and simple.
What it does
It’s has a sign up and login page backed by the google firebase database. It provides the day the shoe releases, the retail price of the shoe, current resell range for the shoe, and my resell prediction for the shoe. It also acts as a archive for previous releases sorted by month. I also created a discord server for further reselling advice, if a user doesn’t have access to discord right away, they can use the discord widget within my website. Sneaker Sonar is a great way for teens to start reselling instead of being bored currently in lockdown.
How I built it
I built it using html to make the format of the website, JavaScript to make features of the website work, and css to make it look nice. I used 000webhost.com to host it online.
Challenges I ran into
I have no experience using css and at first my website looked similar to ones created in the early 2000s. With hours of going through tutorials and guides, my website now looks similar to ones created in the 2010s. Challenges I had were formatting, picture sizing, and changing styles for buttons and text boxes
Accomplishments that I'm proud of
First time creating a functioning website and that my friends and I actually end up using Sneaker Sonar for reselling needs everyday.
What I learned
I learned how to create buttons, text boxes and images. I used previous knowledge with databases to learn how to make a login page with firebase. I learn how to create charts, links, and logos.
What's next for Sneaker Sonar
Right now Sneaker Sonar supports stockX and goat for our marketplaces but in the future we can add sites like eBay and grailed. I am currently focusing on shoe releases but could also add clothing. I am currently talking to stockX about an affiliate program that can be used in Sneaker Sonar.
Built With
000webhost.com
css
html
javascript
Try it out
sneakersonar.000webhostapp.com | Sneaker Sonar | An all in one hub for reselling shoes | ['Sebastian Dsouza'] | [] | ['000webhost.com', 'css', 'html', 'javascript'] | 30 |
9,986 | https://devpost.com/software/planet-code | Inspiration
The field of computer science is currently one of the most rapidly growing industries. Every day, more and more jobs are being created and the demand for programmers is increasing. Yet, computer science education is still lacking - especially for students in lower-income areas where there are not sufficient resources for a proper learning environment. Our solution aims to provide easy, accessible access to learn code from the bottom up and inspire a life long learning mindset.
What it does
We have built a
free, easy to use
online web IDE and compiler with a set of practice problems where users can challenge themselves and learn new skills. Users are able to select a problem they want to practice, then select a language of their choice, and begin learning. Users can also channel their creativity and build projects completely from scratch.
How I built it
M ongoDB to store compilation data for logging purposes
E xpress server to create the backend which renders the frontend
R eact to design and produce the front end of the website
N ode.js as an all purpose language which bridges the gaps between the front and back end
-AWS EC2 instance for hosting backend APIs and static web files
-MongoDB atlas for a cloud computing database so we wouldn't have to run on our own servers
-JWT authentication with PassportJS and bcrypt to encrypt passwords locally for security purposes
-Redux with React for state management (we used this mainly for JWT authentication)
Challenges I ran into
JWT authentication was a confusing and tedious process which tested our logical programming abilities
EC2 servers were difficult to launch
Express was acting up when we were trying to connect the front end to the back end
Accomplishments that I'm proud of
We are really proud of having completed a project of this complexity in the given time limit, especially as this was our first time doing something like this
What I learned
We learned the entire process of deploying a web app for production with a working frontend and backend API.
We also learned and leveraged the tools which AWS provided to ease our programming process
What's next for Planet Code
Our future plans include expanding to more languages, including higher level code problems, and expanding usability to incorporate teacher resources
We hope to keep Planet Code completely free to use and help underprivileged schools incorporate it into their curriculum
Built With
amazon-ec2
amazon-web-services
jwtauthentication
mongodb
node.js
passport.js
react
redux
Try it out
github.com
planetcode.net | Planet Code | An intuitive learning solution to bridge the divide in the computer science field | ['Om Chaudhary', 'Shamith Pasula'] | [] | ['amazon-ec2', 'amazon-web-services', 'jwtauthentication', 'mongodb', 'node.js', 'passport.js', 'react', 'redux'] | 31 |
9,986 | https://devpost.com/software/corona-bay | Inspiration
We initially wanted to help take off the load from healthcare workers by using neural networks to make it easier to diagnose COV1D-19 from CT scans of lungs. While we were working on Corona Bay, we realized that we could also help the general public by giving them the information and resources to understand the situation of the pandemic and self-diagnose for coronavirus.
What it does
Corona Bay has 4 main features.
1) Detection: a neural network model we created and trained from scratch that predicts if a patient has COVID-19 based on CT scans of their lungs. This was created and trained using Tensorflow and has 98.09% test accuracy.
2) Statistics: a dynamic map that lets users hover over each country to get the stats of the pandemic situation in all of the countries. This information is always updating and can help people understand where the situation is worse and how they might need to act based on the situation in their country.
3) News: a constantly updating feed of coronavirus-related news. This allows users to stay up-to-date on the latest information about the pandemic while staying on one site.
4) Symptoms: a checklist of symptoms that allows users to get a good idea what they need to look out for and what actions they need to take if they have any of those symptoms.
How I built it
We used React.js for most of the project, with Python 3 and Tensorflow Keras API for the machine learning model.
Challenges I ran into
Integrating Tensorflow in Python to the web app created so many issues. It was really hard to just migrate to JavaScript, and then we got memory leaks when trying to use it. Also, React.js doesn't make it easy to style components or have an overall layout, so it was hard to make the UI presentable. The datasource we used for the statistics page actually went down right when we were recording the video! It took a lot of effort and determination to conquer these challenges.
Accomplishments that I'm proud of
We are very proud that we were able to get all 4 features working well and that we were able to finally get rid of the errors. The ML model worked surprisingly well with a small dataset of less than 1000 images. We are also very proud that the interactive map is easy to use and visually shows the effect of the pandemic.
What I learned
We learned how to use machine learning to solve real-world problems with limited resources. We also learned how to use React.js to make a fast web app that can keep up with users' needs.
What's next for Corona Bay
We only had a short time to develop this project, so we didn't have the time to style everything well. We were mainly focused on getting the best features out there, which was especially hard due to the incredible number of errors that came up in the process. We are looking to shape the web app so that it can be used by the public and refine the minor styling details so that we can present our great features in the best way.
Built With
mongodb
react.js
tensorflow
Try it out
github.com
coronabay.org | Corona Bay | Stay home. Stay informed. | ['Shamith Pasula', 'Om Chaudhary'] | [] | ['mongodb', 'react.js', 'tensorflow'] | 32 |
9,986 | https://devpost.com/software/litfit | Login Screen
Achievements
Calorie Calculator
Tips and Health
Resources
Steps/Main Page
LitFit Wearable (M5StickC)
Heart rate and blood oxygen level sensor
Inspiration
Obesity is one of the deadliest killers in society today. About 1.9 billion people over the age of 18 are overweight: 1/4 of the entire planet and 650 million people out of that 1.9 billion being obese. Obesity alone causes
2.8 million deaths every year
. It is safe to say that obesity is one of the most common killers of today, and is overlooked heavily by people. We sought to facilitate weight loss and encourage healthy living by creating a product that encourages you to be mindful of your daily activity. During the lockdown, people are more sedentary than ever. LitFit aims to eliminate a sedentary lifestyle and encourages users to adopt a healthier lifestyle.
What it does
Our app has multiple features that all are geared toward adopting a healthier lifestyle, whether it be through increased exercise or better eating habits. Our app tracks your movements and exercise using Step tracker, which tracks your daily, weekly, and total steps. Total steps are then translated into Exercise points, which earn you achievements, giving the user a sense of accomplishment, motivating them to live even healthier and be more active. The Calorie Calculator utilizes a novel Machine Learning algorithm to detect the food calories as well as the type of food given an image, which is uploaded by the user. The Health tab tracks your pulse and oxygen percent saturation, as well as gives you tips on how to live a more active lifestyle: the three golden rules of LitFit. We also provide useful resources on quick workouts that the users can quickly jump. All of these features contribute to an amazing application that promotes healthy living.
How we built it
We build the front end entirely out of flutter, a multiplatform mobile application SDK.
The hardware base for this project is an M5StickC microcontroller. The M5StickC has an ESP32 as its base with an in-built 6 axis IMU sensor. The IMU takes the accelerometer and gyroscope reading which are then used to calculate the number of steps taken by a user. External hardware plugins were also used to gather surrounding data. These sensors provide us with ambient temperature (outside temperature), Ambient Humidity, Ambient air pressure, and heart rate (pulse). All the reading from the wearable device are then relayed to an open-source mobile app giving the user a real-time data with a user-friendly interface
The backend servers are implemented as APIs running on a virtual server and using MongoDB as the primary database.
Challenges we ran into
One challenge we ran into was uploading the image onto a server. James, the frontend designer, had trouble figuring out how to stream the data back from the output of the backend into the UI asynchronously, however, he figured it out after a few hours of trial and error.
M5StickC is a 2019 product, there is little to no online support for troubleshooting. Working with such new hardware and navigating through its library to get useful functionality out was a huge challenge.
Accomplishments that we're proud of
We are proud to actually accomplish what we set out to do in the beginning. Our initial goals were to build the ML algorithm for calorie detection and track steps, heart rate, and blood oxygen. However, we went above and beyond our initial goals through hard work and implemented further capabilities, such as the achievements page, login, additional resources, inspirational quotes, and more. Linking up the hardware with the software felt amazing because it seemed like everything was clicking into place.
What we learned
I learned a lot about how servers communicate with clients. I learned how to use HTTP get and post requests, as well as sending images to a server in a multipart server request. I also learned how to create a better and simple UI for a better UX. - James
What's next for Lit Fit
We hope to develop LitFit further to be more lightweight, as well as polish the Front-end and add more features. Some of the features are not fully functional, such as Login and achievements, but those features can be implemented with more time. We believe LitFit can actually be a revolutionary weight-loss miracle product and hope to pursue that goal of promoting a healthy lifestyle.
Built With
arduino
flutter
mongodb
python
Try it out
github.com | LitFit | Revolutionizing Weight Loss Tactics | ['James Han', 'Muntaser Syed', 'Dayna AC', 'Prashant Bhandari'] | ['Best Health Hack'] | ['arduino', 'flutter', 'mongodb', 'python'] | 33 |
9,986 | https://devpost.com/software/covid-19-contact-tracing | Inspiration
Corona Virus is affecting all of our lives right now. We COULD go out and interact with other people, but we are limited due to our fear of getting infected. This app helps prevent you from interacting with someone who is infected by tracing who they have contacted and checking if they were infected with corona virus.
What it does
This app essentially enables you to keep track of who you have interacted with recently and if they are infected with coronavirus or have been exposed to it. If anyone you have interacted with has been infected, it notifies you and tells you to isolate yourself as to not expose anyone else. This can be useful in the next coming months due to the lifting of lockdown and spread of coronavirus. You can keep yourself from being exposed to the virus by using this app.
How I built it
I used android studio and java to make this app.
Challenges I ran into
I had to learn how to use android studio in a week and build this app on my own.
Accomplishments that I'm proud of
Learning how to build an entire app with android studio in 1 week.
What's next for COVID-19 Contact Tracing
I was planning to use the camera for this app and implement a personal QR code for each account that could be scanned instead of searching for them. However, with respect to time, I was not able to implement this feature. I also considered using facial recognition in the camera to identify people with accounts.
Built With
android-studio
java
Try it out
drive.google.com
drive.google.com | COVID-19 Contact Tracing | My app monitors who you have met recently and tells you if you are at risk of infection . It can be used in the upcoming months to prevent yourself from being infected as the country reopens. | ['Arnav Sangamnerkar'] | [] | ['android-studio', 'java'] | 34 |
9,986 | https://devpost.com/software/trachio | Trachio Logo.
Inspiration
As we can tell by an enormously growing infection rate, it's important that we diagnose potential symptoms of COVID-19 and communicate with our local health departments.
What it does
Trachio is a web app that allows you to upload spectrograms of a patient’s lung sounds in order to diagnose and report potential symptoms of COVID-19 to one’s local health department.
How I built it
I created a Flask backend that communicates with a dynamic HTML/CSS frontend, which allows you to upload audio spectrograms. A classification is made through the Google AutoML Vision API and returned to display potential symptoms on the frontend. There is also a feature that allows you to quickly contact local health authorities via email, which is plain HTML.
Challenges I ran into
Of course, getting Google Cloud authentication to work properly was a hassle. Also, I was a bit slow to develop because I had never used Flask before.
Accomplishments that I'm proud of
But regardless, I'm really proud of how many tools I learned to use in the past 24 hours. I dared myself to go solo and I feel like it paid off for my own learning.
What I learned
Basically the entirety of Flask, and servers in general.
What's next for Trachio
Improve the model's accuracy, and make the frontend prettier.
Built With
css3
flask
html5
keras
python
teachable-machine
tensorflow
Try it out
github.com | Trachio | A web app that can hear potential symptoms of COVID-19 in your breathing and report them to your local health department. | ['Borna Sadeghi'] | [] | ['css3', 'flask', 'html5', 'keras', 'python', 'teachable-machine', 'tensorflow'] | 35 |
9,986 | https://devpost.com/software/ibm__hackathon__troubleshooters | Inspiration
What it does
How we built it
Challenges we ran into
Lots of Challenges
Accomplishments that we're proud of
What we learned
What's next for MEDICO
Built With
css
deeplearning
django
html
image-processing
javascript
postgresql
python
rasa
tensorflow | a | a | ['Jayit Saha', 'Ishita Dasgupta'] | [] | ['css', 'deeplearning', 'django', 'html', 'image-processing', 'javascript', 'postgresql', 'python', 'rasa', 'tensorflow'] | 36 |
9,986 | https://devpost.com/software/healthplus | Splash Page
Login
SignUp
Calendar/Reminders UI
Settings
Share App
Contact cards
Resources
Resources
Resources
Resources
Emergency Page
Edit Your Emergency Profile
Edit Emergency Contacts
Careplan
Add Medicines
Add Activities
Add vitals
Inspiration
As we know great ideas and companies have started at home. So, similarly I cantrace back thee inspiration to my old grandparents who usually forgot to take their medicines. Also it is too sad for me to say, but my grandfather recently died as he hadn't taken his bloodpressure meds properly and also no one could keep a check on his punctuality. Also when the med team found him, he could have survived if they gogt the information about him like med history, blood group and others on time which they unfortunately didn't get!
What it does
HealthPlus helps you keep a track of meds! This is a must-have pills tracker and reminder app for your health. It helps you take care of our loved ones at risk by reminding them from time-to-time and not overdosing in forgetfulness. HealthPlus works well for medication management, tracking vitamins, supplements, birth control, conditions, medication, and later plans also include tracking the symptoms, nutrition, activity, daily vitals, therapies, pregnancy, baby symptoms, notes, etc.
Reasons why this is the next startup
CREATE A CARE PLAN -- Used as a treatment & pill organizer
Don’t create just a dull medication list which you would forget about days later!. Add Drugs, Meds, Vitamins, Minerals, Natural Remedies, Therapies, Fitness & Nutrition as part of your care plan
Set dose form, dose color & set medicine reminders quickly!!!
ADD YOUR CARE TEAM
The most unique feature!!!
Save CareContact information for future reference.
Add CareContact pill alerts for missed dosages, have someone help you stay on track of your goals because together we can overcome anything!!!
Allow CareContacts to view the care plan. -Giving a point of contact with emergency teams.
Save & Share Health Appointments
future------------Chatbot based GCS SOS button and voice-based actions.
EMERGENCY BUTTON
Easily accessible emergency button to call respective authorities right from the app! Also sending an SMS to CareContact about location coordinates and basic details filled up in EMERGENCY FORM.
How I built it
The UI is built using flutter, Google Location Services API from GCP for coordinates, Python-Django based backend API for making requests. The database is on MongoDB.
Challenges I ran into
Many APIs don't have documentation for flutter
Accomplishments that I'm proud of
The UI components.
What I learned
Working with flutter
What's next for HealthPlus
Releasing it on app stores after scaling up!
Domain.com
dontgivecovid.space
Built With
dart
google-maps
java
kotlin
makefile
mongodb
objective-c
swift
Try it out
github.com | HealthPlus | Not just some random healthcare app! | ['Dipti Modi'] | [] | ['dart', 'google-maps', 'java', 'kotlin', 'makefile', 'mongodb', 'objective-c', 'swift'] | 37 |
9,986 | 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'] | 38 |
9,986 | https://devpost.com/software/abstract-art-in-nature | Inspiration
This project is inspired by the fact that people cannot go outdoors as often, worry-free. From a
website
, I learnt that viewing scenes of nature, reduces anger, fear, and stress and increases pleasant feelings. This shows that nature is very important, and since people do not experience much nature, I decided to make a project that helps people experience nature, worry-free!
What it does
Users can create abstract art against a nature background, just by using anything green and drawing in the air! Since it self-clears after a few seconds, the artwork would be as abstract as possible! It also comes in three different pen inks—red, green and blue and four different backgrounds. This is perfect for users to relax, and is especially useful for both front-liners and stay-at-homers to calm down and experience the long-lost nature again. For a detailed demo of what it does, check out the
demo video
!
How I built it
I used the OpenCV library to detect contours of the same colour (green) from the frames taken by the computer camera and trace the movement of the green object. I also downloaded some royalty-free nature backgrounds from online and used it in my code.
Challenges I ran into
It was definitely a challenge to learn and explore the OpenCV library in one day. I also ran into a lot of errors (mostly having too less or many arguments), but without a proper debugger I needed to read my code over and over again to find out what's wrong.
Accomplishments that I'm proud of
I am very proud that I got to learn so much in the making of this project! This is the first project I submitted to multiple hackathons and the first project I made by myself too! I am also happy that I managed to learn so much and make a project in time.
What I learned
I learnt the different functions the OpenCV library has to offer.
What's next for Abstract Art in Nature
I can improve the user interface and experience, and maybe let users save their abstract artworks!
Built With
numpy
opencv
python
Try it out
github.com | Abstract Art in Nature | Immerse yourself in nature! | ['Min Min Tan'] | [] | ['numpy', 'opencv', 'python'] | 39 |
9,986 | 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'] | 40 |
9,986 | https://devpost.com/software/tutorbook-g9756n | Search view
Home page
Volunteer sign-up form
Pupil sign-up form
Tutorbook
Tutorbook
is a free, online platform that connects students with expert mentors and volunteer tutors.
We're connecting 9-12 students with expert mentors to collaborate on meaningful (summer) projects that they're both passionate about (e.g. writing a research paper or releasing a music album together).
We're also making sure that no one loses out on education amidst COVID-19 by connecting K-12 students with free, volunteer tutors.
Aspect #1: Volunteer Tutoring
This was created a while ago for a different hackathon, but I figured I might as well include it here as well (to make this project description comprehensive):
The problem
Students no longer have the individualized support teachers usually have given
(when they met face-to-face)
Teachers can no longer attend to each student individually; some students are
falling behind
The solution
Support those students by connecting them to university students and
professionals also confined in their homes
Enable teachers to request one-on-one help for students they know are
struggling
We're currently partnering with
Project Access
,
the UK's CTI
,
Austria's StudyRoom
,
Singapore's Learnpanion
, and
School Closures
to connect students affected by COVID-19 with free, one-on-one, volunteer tutoring.
Aspect #2: Project Oriented Mentorship
This is what I'm really excited about (and this is what we built for this hackathon).
From
"IT'S TIME TO BUILD"
:
We know one-to-one tutoring can reliably increase education outcomes by two standard deviations (the Bloom two-sigma effect); we have the internet; why haven’t we built systems to match every young learner with an older tutor to dramatically improve student success? —Marc Andreessen
I just built such a system. I've created Tutorbook to connect every student with an expert mentor and (as needed) qualified, volunteer tutors.
We're connecting 9-12 students with experts (like you) to collaborate on cool, meaningful (summer) projects (e.g. a web app or research paper) that you're both passionate about.
Lots of student summer plans have been dashed due to COVID-19. This'll be an amazing opportunity for them to work with an expert (e.g. you) on something they're interested in (e.g. a cool startup idea).
I'm calling it "project oriented mentorship." Both the student and their mentor are passionate about some field (e.g. computer science or marketing) but the student doesn't have the experience, connections, knowledge, or resources that the mentor has.
From Paul Graham's
"What You'll Wish You Had Known"
:
If you'd asked me in high school what the difference was between high school kids and adults, I'd have said it was that adults had to earn a living. Wrong. It's that adults take responsibility for themselves. Making a living is only a small part of it. Far more important is to take intellectual responsibility for oneself.
If I had to go through high school again, I'd treat it like a day job. I don't mean that I'd slack in school. Working at something as a day job doesn't mean doing it badly. It means not being defined by it. I mean I wouldn't think of myself as a high school student, just as a musician with a day job as a waiter doesn't think of himself as a waiter. [3] And when I wasn't working at my day job I'd start trying to do real work. —Paul Graham
I agree with PG completely!
But most students don't have other cool projects to work on/learn about. Most students would be thrilled to work on some of the startup ideas I've seen pop up around here. But they don't know about them.
And they won't know about them unless we do something about it.
Here's how it will work:
The expert mentor (e.g. an awesome Indie Hacker like you)
signs up here
and posts about a project they'd love to collaborate on with a student (e.g. an app or startup idea).
The student searches (e.g. "I'm interested in CS" or "I want to work on marketing") and requests an expert mentor.
The mentor then chats with the student, their parents, and points the student towards resources to get started (e.g. tutorials, documentation, GitHub repositories, etc).
The student and the mentor work closely together to reach their goals for their project (e.g. successfully launching that app or startup idea).
You can read more about my ideas on
this GitHub RFC
or
this Indie Hackers blog post
.
Inspiration
This (the project oriented mentorship idea) was based off of my experience with
Luke Hsiao
(a Stanford PhD candidate) writing
this paper
together. I had no Python experience whatsoever beforehand but was able to learn quickly and contribute quite a bit (e.g. I'm the 3rd author on
that paper
). And now I'm best friends with Luke and will go to him whenever I have questions about CS or want someone to bounce ideas off of (e.g. these ideas were first validated by his feedback). I want to recreate that relationship for every student--regardless of their socioeconomic status, connections, etc.
Tech Stack
Languages
Typescript
- As our language of choice
(mostly for static typing, stronger linting capabilities, and the potential
for beautifully detailed--and completely automatically generated--
documentation). Typescript is also
well supported by
Next.js
and
React
.
Sass
- For styling components (i.e. CSS on steroids).
Sass, like Typescript, is also
well supported by Next.js
out-of-box.
Frameworks
React
- As our front-end framework.
Next.js
- To easily support
SSR
and
other performance
PWA
features.
Tooling
Lerna
- To manage and re-use React components across
repositories; mostly just to migrate code from this project back into
Tutorbook
when we get the chance.
ESLint
- For code linting to avoid
common mistakes and to enforce styling. Follow
these
instructions
to install it
in the text editor of your choice (such that you won't have to wait until our
pre-commit hooks fail to update your code).
Database
Google's Firebase
- For their
NoSQL
document-based database
,
Authentication
, and other
useful (relatively drop-in) solutions.
Built With
algolia
firebase
handlebars.js
lerna
next.js
react.js
sass
sendgrid
typescript
Try it out
tutorbook.org
github.com | Tutorbook | Web app that connects students with expert mentors and volunteer tutors. | ['Rashmit Shrestha', 'Nicholas Chiang', 'Zia Truong', 'Sanchit Pandey'] | [] | ['algolia', 'firebase', 'handlebars.js', 'lerna', 'next.js', 'react.js', 'sass', 'sendgrid', 'typescript'] | 41 |
9,986 | 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'] | 42 |
9,986 | https://devpost.com/software/honey-drops | Scan to view our Fluid UI prototype
Our Icon
Sneak Peak of our platform
Sneak Peak 2 of our platform
Inspiration
We are unable to visit our grandparents and we are very worried about how their condition is like especially because we cannot visit them.
What it does
Honey Drops allows family members to post updates on their condition or what they are doing. They can even arrange zoom calls and comment on each other's post.
How we built it
We are unable to code but we made a prototype using Fluid-UI.
Accomplishments we are proud of
We managed to come up with a prototype in the end.
What we learned
We learnt how to use prototyping software like Fluid-UI.
Video Demo
https://www.youtube.com/watch?v=xG9lGeYVAX8
Built With
fluid-ui
Try it out
www.fluidui.com | Honey Drops | A platform that allows family members to post updates in this period when we are unable to visit one another. | ['Danielle Soh', 'Joash Soh'] | [] | ['fluid-ui'] | 43 |
9,986 | https://devpost.com/software/bridge4good | Problem
Homeless shelters are experiencing a shortage of Personal Protective Equipment (PPE) as well as necessities such as food and hygiene products and are in dire need of donations as more and more people living on the streets look to them for resources during the COVID-19 pandemic.
Story
I live in New York City and every day I see homeless people, on sidewalks, on public transportation. I watch as people avoid looking at them and walk past cardboard signs pleading for help. Through volunteering at a women’s shelter, my team member Amulya has seen first hand how short supplies are, even in normal times. With the coronavirus outbreak, the homeless population is uniquely vulnerable, not just in New York City, but around the world. Now, giving people a way to support homeless shelters is even more urgent.
Solution: Bridge4Good
Bridge4Good is a website dedicated to connecting homeless shelters with the resources they need during COVID-19. Donations are collected through online purchases through our website, so donors are not risking exposure to COVID-19 when donating.
Shelters can register with our website and post detailing the exact items and quantities they need so users know exactly where their money goes.
Our platform also helps support local small businesses during these trying times. Local businesses can add web addresses to the shelters' posts indicating where the necessary products are sold online so that donors can purchase items remotely. Bridge4Good will help small businesses generate income during these trying times.
Design + Build
Marvel to mock up our front-end design for the website
Python (scikit-learn) for machine learning algorithms
Flask to deploy the back-end functionality.
Tech Stack
Using logistic regression, we incorporated donor’s location, donation amount, age, and past volunteer work in order to match donors to their best-fit shelter. We also expanded our model to match shelters with a targeted group of donors based on these features.
The data stored in our platform is open-sourced and available via search services such as Whitepages and through US public records.
Future enhancements include additional features related to donors’ past activity: donation to similar causes, past frequency of donation.
Business Model
Revenue Streams:
1.5% transaction fee charged to donors
2% fees charged to small businesses based on the goods sold on the platform
Key Features:
Free for shelters and small businesses to get on to the platform
Businesses encouraged to provide coupons to donors to encourage repeat visits
Future Plans:
Once the platform is popular, extending the model to charge businesses to get onto the platform as well as implementing preferential ranking and advertising
Next Steps
Consider expansion of the platform to iOS and Android users for ease of use
Link small businesses and shelters to the platform
Enhance ML algorithm:
Add features to improve recommendation accuracy
Address ethical considerations such as enabling shelters with less donations priority over those that have already received donations
Advertise and promote the platform through Instagram and Facebook communities such as @goodnews_movement and @tanksgoodnews.
Link social media accounts to donors’ accounts for additional advertising
Consider expansion to incorporate mainstream delivery services
Note: the video attached is from Round 2 of the Teens in AI YouthVSCovid Hackathon. The Round 1 video can be found at:
https://www.youtube.com/watch?v=ho4k64DFbbA
.
Built With
ai
flask
machine-learning
marvel
python
scikit-learn
Try it out
github.com
marvelapp.com
girlsinai.co.uk
docs.google.com | Bridge4Good | A platform connecting homeless shelters with the resources they need during COVID-19 | ['Amulya Agrawal', 'Neha-ai Nataraj', 'Cindy Su', 'Victoria L', 'Karina C'] | [] | ['ai', 'flask', 'machine-learning', 'marvel', 'python', 'scikit-learn'] | 44 |
9,986 | https://devpost.com/software/reserveid | ReserveID Logo
Wiring Diagram
Arduino Mega Hardware In Basket
Basket in Lock State
Full View of Basket
Website Main Page
Website Login Page
Website Manager Page With Current Shoppers, Scheduling, and Queues
ReserveID Firebase
App Main Screen
App Date/Time Scheduled
App Queue
App RFID Setup
App RFID Scanning Screen
Resources
Github link -
https://github.com/SaiVedagiri/ReserveID
iOS Testflight download link -
https://bit.ly/reserveid1
iOS Testflight alternative download link -
https://bit.ly/reserveid2
Website link -
https://reserveid.tech
(use email "
[email protected]
" and password "password")
Youtube video link -
https://youtu.be/dkJTdKauqqo
Inspiration
The COVID-19 pandemic has completely changed the way we live our lives. With strict restrictions on leaving the house for restaurants, entertainment facilities, etc., grocery stores have not only become a necessity for society, but also among the most likely locations for the spread of the virus. Researchers at the University of Finland conducted a simulation showing how a single cough of a COVID-19 carrier can rapidly spread the disease throughout an entire grocery store. This threat level is greatly increased as more people stay in the store, demanding the need for regulations on the number of people in the store. Currently, to enter a grocery store, you must wait in lines that often span hundreds of feet and take multiple hours to get through. This can lead to unnecessary exposure to the virus for extended amounts of time. Furthermore, strict guidelines have mandated that grocery stores operate at 50% capacity. This puts grocery stores at risk of overcrowding or under-efficiency without the correct infrastructure. By creating an integrated platform to monitor capacity at grocery stores and allow customers to wait in a queue at home, we can create a safe and efficient experience at the grocery stores that have become an essential part of our lives.
What it does
ReserveID is a multi-platform system that can allow customers and store managers to schedule a queue that is both efficient and safe. When a user needs to go to the supermarket, they can access the mobile app and remotely schedule a time for shopping. They can also place themselves in the queue. After scanning their RFID tag with their Arduino hardware, they can be identified by the app and a timer will be displayed for the time remaining until their turn. All of this information is communicated through the server which stores the information in a firebase. The website takes the data from the firebase and displays the information for store managers to login and monitor. The website shows live timing for the queues and is all secured through the server.
How we built it
App
We created the app using the Flutter programming language and it allows you to connect to your RFID reader. This app will allow you to schedule your shopping time and reserve your spot on the queue all while being safe at home. It also notifies the user when it is their turn to shop and once the RFID tag is scanned, the shopping timer is displayed. All of the app communications routes through the server to enhance security.
Hardware
The hardware component of the system is based on an Arduino Mega 2560. A short-range RFID reader is used to scan a user's tag. The ID number is cross referenced with the backend using an ESP8266 WiFi module for wireless communication and unlocks the basket when authenticated. Finally, an ultrasonic sensor is used to track if the basket is empty, which is used in conjunction with app input to alert waiting customers.
Website
We created an HTML/CSS/JavaScript website designated for authenticated managers. It implements the Google Firebase SDK to display real time information of current, queued, and scheduled customers. When a customer checks into the store, the website auto-updates with an event listener and begins an individual timer for regulation purposes. A secure login and signup system is used to provide further security for store managers that are remotely checking in on their store’s status.
Server
The server is the middleman for the entire project. It handles all requests coming in from the arduino, mobile app, and the website. The first process that the server handles is users logging and signing in. From there the server gets a request from the mobile app to update the queue or schedule. This information is then sent to a web socket that the phone also connects to in order to update the status of other customers through their devices. The server then stores the information in the firebase for access by the website.
Challenges we ran into
One of the major challenges we ran into was determining how to notify the user as to when they have to enter the store for their turn. We had limited experience with the notifications through the firebase and server so it took a while to get that to work. It took a significant amount of time to finish the website with the live timer through Javascript as well. By far the hardest thing was getting the server to be able to send notifications and interact with the app properly, as well as having multiple users in the stores communicate correctly with the server.
Accomplishments that we're proud of
We are most proud of how we achieved seamless Wi-Fi based server communication across the four separate platforms. Each of our team members took on a different component and worked together to integrate each piece together into a single, connected platform. With all of the user information, RFID identifiers, distances, and other data points that are passed between components as API parameters, we are proud that we created a platform that handles it all accurately and efficiently, all while working remotely. We also managed to implement server based notifications through Flutter, which is something we hadn't done before.
What we learned
Given the remote circumstances, we had to learn how to communicate effectively and work cooperatively in order to produce the end result we wanted. As mentioned before, we learned new things regarding flutter and server-based notifications, as well as live timing through the server.
What's next for ReserveID
Other features that can be added to further enhance the product is the option of multiple chain buildings. Currently this platform is mainly applicable for one location, but if a manager owns a chain with various sites, a way to view all of them can be applied. Also, managers may want the ability to add and remove people from the queue through an administrative tool, which will allow for more regulation of the store’s safety levels.
Built With
amazon-web-services
arduino
css
dart
firebase
flutter
google-cloud
html
javascript
node.js
Try it out
github.com
reserveid.tech
bit.ly
bit.ly | ReserveID | An integrated platform to monitor capacity at grocery stores and allow customers to wait in queue from the comfort of their homes. | ['Albert Zou', 'Sai Vedagiri', 'Elias Wambugu', 'Arya Tschand'] | ['Wolfram Honorable Mention', '2nd Place'] | ['amazon-web-services', 'arduino', 'css', 'dart', 'firebase', 'flutter', 'google-cloud', 'html', 'javascript', 'node.js'] | 45 |
9,986 | 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'] | 46 |
9,986 | 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'] | 47 |
9,986 | https://devpost.com/software/masked-ai-masks-detection-and-recognition | Platform Snapshot
Input Video
Model Processing
Model Processing
Output Video Saved
Output Video Snapshot
Output Video Snapshot
Output Video Snapshot
Output Video Snapshot
Output Video Snapshot
Output Video Snapshot
Inspiration
The total number of Coronavirus cases is 5,104,902 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 taking preventive measures is the only option to flatten the curve. Face Masks Are Crucial Now in the Battle Against COVID-19 to stop community-based transmission. But we are humans and lazy by nature. We are not used to wear masks when we go out in public places. One of the biggest challenges is “People not wearing masks at public places and violating the order issued by the government or local administration.” That is the main reason, we built this solution to monitor people in public places by Drones, CCTVs, IP cameras, etc, and detect people with or without face masks. Police and officials are working day and night but manual surveillance is not enough to identify people who are violating rules & regulations. Our objective was to create a solution that provides less human-based surveillance to detect people who are not using masks in public places. An automated AI system can reduce the manual investigations.
What it does
Masked AI is a real-time video analytics solution for human surveillance and face mask identification. Our main feature is to identify people with masks that are advised by the government. Our solution is easy to deploy in Drones and CCTVs to “see that really matters” in this pandemic situation of the Novel Coronavirus. It has the following features:
1. Human Detection
2. Face Masks Identification (N95, Surgical, and Cloth-based Masks)
3. Identify human with or without mask in real-time
4. Count people each second of the frame
5. Generate alarm to the local authority if not using a mask (Soon in video demo)
It runs entirely on the cloud and does detection in real-time with analysis using graphs.
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. JavaScript for the frontend features
5. Embedded technologies
I will be breaking the complete solution into the following steps:
1. Data Preparation:
We collected more than 1000 good quality images of multiple classes of face masks (N95, Surgical, Clothe-based masks). We then performed data-preprocessing and labeled all the images using labeling tools and generated PASCAL VOC and JSON after the labeling.
2. Model Preparation:
We used one of the famous deep learning-based object detection algorithm “YOLO V-3” for our task. Using darknet and Yolo v-3, we trained the model from scratch on 16GB RAM and Tesla K80 powered GPU machine. It took 10 hours to train the model. We saved the model for deploying our solution to the various platforms.
3. Deployment:
After training the model, we built the frontend which is totally client-based using JavaScript and microservice “Flask”. Rather than saving the input videos to our server, we are sending our AI to the client’s place and using Microsoft Azure for the deployment. We are having on-premise and cloud solutions prepared. At the moment, we are on a trail so we can’t provide the link URL.
After building the AI part and frontend, We integrated our solution to the IP and CCTV cameras available in our house and checked the performance of our solution. Our solution works in real-time on video footage with very good accuracy and performance.
Challenges we ran into
There are always a few challenges when you innovate something new. The biggest challenge is “The Novel Coronavirus” itself. For that reason, we can’t go outside the home for the hardware and embedded parts. We are working virtually to build innovative solutions but as of now, we are having very limited resources. We can’t go outside to buy hardware components or IP & CCTV cameras. One more challenge we faced was that we were not able to validate our solution with drones in the early days due to the lockdown but after taking permission from the officials that problem was not a deal anymore.
Accomplishments that we're proud of
Good work brings the appreciation and recognition. We have submitted our research paper in several conferences and international journals (Waiting for the publication). After developing the basic proof-of-concept, We went on to the local government officials and submitted our proposal for a trial to check our solution for better surveillance because the lockdown is near to be lifted. Our team is also participating in several hackathons and tech event virtually to showcase our work.
What we learned
Learning is a continuous process. We mainly work with the AI domain and not with the Drones. The most important thing about this project was “Learning new things”. We learned how to integrate “Masked AI” into Drones and deploy our solution to the cloud. We added embedded skills in our profile and now exploring more features on that part. 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 Masked AI: Masks Detection and Recognition
We are looking forward to collaborating with local administrative and the government to integrate our solution for drone-based surveillance (that’s currently in trend to monitor internal areas of the cities). Parallel, The improvement of model is the main priority and we are adding “Action Recognition” and “Object Detection” features in our existing solution for even robust and better solution so decision-makers can make ethical decisions as because surveillance using Deep Learning algorithms are always risky (bias and error in judgments).
Built With
azure
darknet
flask
google-cloud
javascript
nvidia
opencv
python
tensorflow
twilio
yolo | Masked AI: AI Solution for Face Mask Identification | Masked AI is a cloud-based AI solution for real-time surveillance that keeps an eye on the human who violates the rule by not using face masks in public places. | [] | [] | ['azure', 'darknet', 'flask', 'google-cloud', 'javascript', 'nvidia', 'opencv', 'python', 'tensorflow', 'twilio', 'yolo'] | 48 |
9,986 | 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'] | 49 |
9,986 | https://devpost.com/software/covid-shopper | part 1 of code
part 3 of code
part 2 of code
part 4 of code
Inspiration
I was inspired by the fact that many shoppers are in a grocery store at once. This is one of the most common ways that people are near one another in close proximity, so I figured that if the number of people shopping is restricted, then it could also possibly restrict the spread of COVID-19
What it does
My idea is to create an app that forces shoppers to reserve a spot when they go grocery shopping. One of the most common ways that people are catching corona virus is because there are many people in one setting, not six feet apart. With this app, it will force users to sign up for a slot to go grocery shopping before they go, so that only a certain amount of shoppers are in the store at once. However, of course some people may need emergency items and will not be able to wait in a long line and not shop immediately. If this is the case, there is a separate section that the shopper can fill out stating why they need this item immediately, and if it is a serious case, they will also be able to go into the store without reserving a time. The point of this app is to attempt to restrict how many people are in a building at once. If no attempts are made to restrict the public, then corona virus will continue to spread in rapid amounts.
How I built it
I built it using JavaScript. It is currently not a running program, but it depicts how the user will be forced to put in their location, and then what store they are trying to shop at. Then once they find the shop that they want to go to, it will put their name on a list and allow them to go shopping once it is their turn.
Challenges I ran into
It was very hard to get the location aspect down, because it is challenging to find a grocery store nearby the person. Adding a specific time that they want to shop at was also hard, just because it causes a new list to be created
Accomplishments that I'm proud of
I am proud of how I got the location aspect to work, because it was challenging to find a store near where the person lives, especially if there are multiple within the same distance
What I learned
I learned that it will be very challenging to restrict the public(because many people will not listen and continue to shop in large amounts), but I hope that if an app like this is created, some change and reduction of COVID will occur
What's next for COVID Shopper
I hope to soon use this app or work with someone else to develop a real app. If an idea like this is used around the world, it can be extremely helpful in restricting corona virus. Although it will be difficult to create, I believe that it is a good idea to consider if COVID continues to get worse
Built With
javascript
moovly | COVID Shopper | My idea is to create an app that forces shoppers to reserve a spot when they go grocery shopping. | ['Samantha Katovich'] | [] | ['javascript', 'moovly'] | 50 |
9,986 | https://devpost.com/software/spark-k6txdh | Inspiration
- Needed a place to track and plan our projects.
- Frustrated over apps that are specialized to do only one thing resulting in having to keep many tabs/apps open at the same time.
- Saw a need for an all-in-one productivity app.
- Believed it had the potential to increase the productivity of those affected by COVID-19.
What it does
- Features: Calendar, Tasks, Team Administration, Project Tracking, Messages, Meetings and Zoom Integration, Discussion Board
- A cumulative productivity app that puts all the apps you need into one
- Assists teams and organizations by improving productivity and tracking the progress of projects
- Highlights team collaboration with SparkRooms to coordinate team members
How we built it
- Written in HTML/CSS/JS, Python
- Written in Visual Studio Code
- Utilized Travis for continuous deployment and autonomous configuration
- Divide and Conquer - Frontend, Backend
- Git, VSCode Live Share, and Discord
Challenges we ran into
- Responsiveness & Mobile compatibility
- Rendering iframes on the dashboard
- Saving arbitrary user data within Firestore
- Git collisions: Committing changes to the same lines at the same time
Accomplishments that we're proud of
- Firebase for hosting, database, and authentication
- Fully functional login system with Google Oauth 2.0 Authentication
- Dashboard to render iframes to show lots of content in a single page
- Travis CI/CD
- Lots of backend and Javascript to process website
What's next for Spark
- Expand Spark for function enterprise and educational usage
- Increase responsiveness of site to enable mobile usage
- Create a way to send personal messages to team members
- Create more tools for users eg. a personal File Storage Method
Built With
bootstrap
css3
flask
fullcalendar
google-cloud
html5
javascript
jquery
node.js
python
travis-ci
Try it out
sparkapp.cf
github.com
docs.google.com | Spark | An intuitive and empowering all-in-one productivity application. | ['Raadwan Masum', 'Rohan Juneja', 'Safin Singh', 'Aadit Gupta'] | ['Wolfram Honorable Mention', 'Track Winner: Work & Economy'] | ['bootstrap', 'css3', 'flask', 'fullcalendar', 'google-cloud', 'html5', 'javascript', 'jquery', 'node.js', 'python', 'travis-ci'] | 51 |
9,987 | https://devpost.com/software/keep6-p846kn | Keep 6 Logo
Arduino Mega Wiring
RFID Read From 6+ Feet (Blue Light = Safe)
RFID Read From <6 Feet (White Light = COVID-19)
Flutter App Settings Page With RFID Input
Flutter App Add Whitelisted User Page
Flutter App Safe Social Distancing Interface
Flutter App Social Distancing Violation Interface
Website Map With Plotted Densely Packed Locations and Lat/Long Table
Website Sign Up Page
Firebase Database Entries For Backend Data Storage
Inspiration
Without a doubt, the most pressing global issue right now is the fight against COVID-19. Currently the battle against this global pandemic is fought on two fronts. While our healthcare heroes seek to end the disease one patient at a time, the rest of us must do our part to keep the global community safe and healthy. All across the world, people are quarantining themselves and practicing social distancing when going outside. According to the Center for Disease Control and Prevention, social distancing is defined by two main parts: not gathering in groups and staying at least 6 feet apart. With people still leaving their houses, whether to run essential errands or just to exercise, it becomes near impossible to keep track of everybody that has come near you. We wanted to create a widespread platform for people to be able to track the coronavirus status of the people that they have come near through factors like recency of interaction, proximity of interaction, and latest COVID-19 testing results.
What it does
Keep6 is a mobile app, Arduino hardware, and website based platform that encourages and monitors safe social-distancing. Using an RFID sensor, the platform is able to track the distance from the user to the other people around them. An ESP8266 module is then used for communication to a server which will log the distances and communicate them with the mobile app and website. The mobile app is used to determine whether the user has been within 6 feet of anyone and would therefore be at risk, while the website displays a Google Maps API detailing the most concentrated areas of people to avoid.
How we built it
Hardware
We used an Arduino Mega with an MFRC522 module for RFID distance functionality and an ESP8266 module for public server communication. A portable device was made for users to carry with them in their outdoors excursions. These RFID sensors are used to track the proximity of neighboring users and relay that to a server. Compared to Bluetooth and GPS location services, RFID distancing is accurate to the foot and has a very large range. Furthermore, because RFID is secure, does not track users’ data or absolute location, and only returns relative distances with other users, there are no privacy concerns for the user.
Server
The server is the middleman for the entire project. It handles all requests coming in from the arduino, iphone app, and the website. The first process that the server handles is users logging and signing in. From there the server gets a request from the arduino to update the device location. This information is then sent to a web socket that the iphone also connects to in order to view the location of other arduino devices in the area. The server then calculates the distance between devices in order to determine whether the user is within 6 feet of another user.
App
We created the app using the Flutter programming language and it allows you to connect to your RFID reader. This app will allow you to see if you are near someone else and notify you of your risk of COVID and the distance between you and the closest person. It also gives the user the option to set whitelists for people that are in their family by adding their email addresses. The app collects information on whether or not the user has been diagnosed with COVID-19 and accordingly updates the risk levels for those around them. All of the app communications are routes through the server to enhance security.
Website
We created the website using a Google Maps API paired with javascript code marking concentrated areas of people on the map. HTML/CSS was used for the formatting of the website which allows user login to view the personal coronavirus information in the form of maps and tables that is obtained through the server.
Challenges we ran into
We ran into numerous problems with wiring/programming the Arduino hardware for sensor reads and Wi-Fi communication. We were originally using a NodeMCU, but found out that it cannot handle Wi-Fi communication and RFID read simultaneously because of serial port limitations. After switching to the Arduino Mega and debugging server request issues, we were able to seamlessly implement the hardware. Furthermore, we had some issues with whitelist users on the backend because of the multiple links required for its functionality. However, we were able to develop a reliable algorithm for editing and parsing the storage structure to provide this functionality with no errors or miscommunications.
Accomplishments that we're proud of
We are especially proud that we were able to accomplish seamless Wi-Fi based server communication between 4 distinct components. Each of our 4 team members took on a component and worked together to mesh each piece together into a single, connected platform. With all of the user information, RFID identifiers, distances, and other data points that are passed between components as API parameters, we are proud that we created a platform that handles it all accurately and efficiently, all while working remotely.
What we learned
This was our first hackathon in a remote setting, so we had to learn to collaborate with each other through voice calls and coding live shares. While it was difficult at times to work on frontend/backend integration and hardware communication with other components, we were able to complete all of the functionality we originally envisioned.
What's next for Keep6
A potential next step for Keep6 would be to find a medically approved algorithm to determine the likelihood of infection for the user based on the data that the Keep6 server already tracks. Another important step to maximizing the effectiveness of this platform would be to expand to as many users as possible so that the server has more information. One way of doing this would be to make the RFID Arduino mechanism smaller and more convenient for users to carry around so that they would be more incentivized to use it.
Built With
amazon-web-services
arduino
c++
css
dart
firebase
flutter
html
javascript
node.js
react
Try it out
github.com | Keep6 | A mobile app, Arduino hardware, and website based platform to encourage and monitor safe social-distancing | ['Elias Wambugu', 'Arya Tschand', 'Albert Zou', 'Elias Wambugu', 'Sai Vedagiri'] | ['2nd Place', 'First Overall', '2nd Place'] | ['amazon-web-services', 'arduino', 'c++', 'css', 'dart', 'firebase', 'flutter', 'html', 'javascript', 'node.js', 'react'] | 0 |
9,987 | https://devpost.com/software/pacman-escape | Inspiration
I was inspired by several, online graphing calculators such as Desmos, which I used a lot in high school. I decided I wanted to code something similar, but with a twist that made it more like a challenging math puzzle, more than just a tool.
What it does
Pac-Man escape is a math puzzle game where the player is given a grid with goal points laid out on it. The player must write a mathematical function that creates a curve for Pac-Man to follow in order to eat all the goals while avoiding the ghosts. It is comprised of several levels, each getting progressively more difficult and requiring more knowledge of different kinds of math functions.
Pac-Man Escape allows you to be productive while having fun at home as it increases your understanding of how these functions behave.
How I built it
I built it using Java, the UI was done with the Swing library and I used another library called Exp4j to parse the math functions.
Challenges I ran into
The first challenge was dealing with discontinuities/vertical asymptotes that could arise in a math function. This required me to detect these and graph them correctly. Another challenge I ran into was making the GUI of the Swing library look somewhat decent and modern.
Accomplishments that I'm proud of
I am proud of how I was able to actually generate a graph of the math functions, without the assistance of any graphing library. I am also proud of how the GUI turned out, I am a fan of the flat, modern design.
What I learned
In this project, I learned how to detect and graph discontinuities in math functions. I also learned how to manually create animations using the Swing library.
What's next for Pac-Man Escape
All the levels in Pac-Man Escape are designed and solved by me. It would be nice if I could add a "randomly generated mode", where the levels are intelligently generated by the code. This would add much more replayability to the game.
Built With
exp4j
java
swing
Try it out
github.com | Pac-Man Escape | A math puzzle-game where the player must create a function that creates a path for Pac-Man to collect all the points while avoiding the ghosts. | ['Antonio Ferreras'] | ['Second Overall'] | ['exp4j', 'java', 'swing'] | 1 |
9,987 | https://devpost.com/software/safe-at-home-y1tjwe | Inspiration
Wanted to make something fun for kids - while still educational.
What it does
Classic platformer game with enemies and coins. Includes billboards with COVID-19 tips from
https://www.livescience.com/coronavirus-infographic-for-kids.html
.
How we built it
We utilized Unity to make the game.
Challenges we ran into
Had difficulty getting used to the environment and finding where everything was located.
Had to do lots of testing and fixing to ensure that the game was beatable (we had difficulties :().
Accomplishments that we're proud of
Being able to add new componenets (ie speed boosts and bounce pads). Controlling enemy blob paths.
What we learned
It was our first time using unity. We learned how to make the game - edit features and add new components to a platformer.
What's next for Safe at Home
Plan to include multiplayer high score board.
Built With
unity
Try it out
connect.unity.com | Safe at Home | A simple game for kids to learn tips and tricks to stay safe during COVID-19. | ['Chenyan Wang', 'Abilarsh Viji'] | ['Third Overall'] | ['unity'] | 2 |
9,987 | https://devpost.com/software/meditation-live | Inspiration
Meditation is a powerful life hack for our mental health. Many of us struggle to practice by ourselves. Our stress is worsened by the pandemic, and social distancing makes us crave human connection.
What it does
Improve your meditation practice with a live, online accountability partner.
User selects a 20-minute time slot to meditate with a buddy.
User gets an email invite to join the waiting room.
As the session starts, user is randomly paired with another user.
Both users greet each other and begin meditation.
Bell rings when the session timer ends.
Both users thank each other and exit the session.
User gives feedback and schedules the next session.
How we built it
Figma (UI) / Flask (frontend) / Vue.js (backend) / Daily.co (video chat API)
Challenges we ran into
We had to simplify the scope to core functionality to meet the deadline. We used a video chat API for the first time, which took some tinkering.
Accomplishments that we're proud of
We created something that helps us meditate better. We converted an idea into something functional within a weekend. First hackathon for Sam and Akshay.
What we learned
This hackathon was a fun spontaneous experience. We compressed a month of personal growth into a weekend.
What's next for Meditation Live
We hope to finish this project and deploy it for real users. Plenty to be done including user profiles, pairing mechanics, concurrent chats, etc.
Built With
daily.co
figma
flask
vue.js
Try it out
github.com | meditate live | meditate with a buddy | ['Samer Sabri', 'Akshay Gupta', 'Daniel Rozycki', 'Morgan Kennedy'] | ['Happy at Home Hack'] | ['daily.co', 'figma', 'flask', 'vue.js'] | 3 |
9,987 | https://devpost.com/software/cookie-jar-mfdhri | Our Cookie Jar!
One of the characters you can unlock!
Inspiration
We were inspired by the book "If you give a mouse a cookie" for our project. Since being productive can be a difficult task to stay committed to, our app encourages its users with a digital cookie that can be collected to unlock a mouse character.
What it does
Our app has a cookie jar graphic that adds cookies as you work. For every 10 minutes of work, that is equivalent to 1 cookie. If you fill up your jar with 18 cookies, you get a mouse character! Each mouse is different, and has its own personality! There is a countdown timer that lets you know when you have reached your 10 minutes, and a progress bar that allows you to gauge how much time is remaining.
How we built it
This was built in the repl.it IDE using HTML, CSS, and JavaScript. We followed a pastel color scheme and used a few Bootstrap components to help stylize the site.
Challenges we ran into
There were a lot of issues with sorting out the progress bar and the timer, but towards the end we did not have much time to save the data between sites, so every time you visit the site your progress is lost. There were also issues centering our text and overall aesthetics of the site.
Accomplishments that we're proud of
We're most proud of the timer feature, and the animation aspect of cookies entering the jar.
What we learned
We learned more about navigating Javascript and implementing code between pages.
What's next for Cookie-Jar
We will be working on saving user data locally and more mouse characters for our users to unlock. Also detection of when a user leaves the page.
Built With
css3
html
javascript
Try it out
github.com | Cookie-Jar | A productivity app that rewards its users with a cookie as encouragement. If the cookie jar is filled, the user is rewarded with a mouse character. | ['Fay Lin', 'Christine Jacinto'] | ["The Best Beginners' Hack"] | ['css3', 'html', 'javascript'] | 4 |
9,987 | https://devpost.com/software/quarantine-quarters-jvbqh3 | Quarantine Quarters Logo
Inspiration
This project was inspired by Text For Humanity, which is the world's first texting switchboard. The idea is that you send a positive text to a stranger, and you'd receive one in return.
What it does
What our project does is that it takes the idea of sending texts to strangers, but this time it's more varied in topics. It was created in order to combat the loneliness or mental health issues that citizens might be facing in this difficult time. We have 4 main categories: Watch, Read, Listen and Message, from which you can suggest a movie, a book, a song, send an encouraging message and more! You also earn points for sending recommendations to strangers and friends, which can be redeemed for gift cards!
How we built it
We built this project using Figma.
Challenges we ran into
One of the challenges we ran into was agreeing on what to make in general. It took a while to agree on concepts and features. Another challenge we ran into was learning how the programs worked since it was the first time most of us ever used Figma. Almost everyone in the team is a beginner.
Accomplishments that we're proud of
We are proud that the demo is working and came out just as how we envisioned it.
What we learned
We learned a lot about mobile app design, especially since it was our first time using Figma!
What's next for Quarantine Quarters
Our next steps would be to reach out and find sponsors for the gift cards so we can make the rewards system fully functional. We will also continue to improve the design and interface of the app.
Built With
expo.io
figma
native
Try it out
www.figma.com
github.com
increasemyproductivity.online | Quarantine Quarters | Increase your productivity during quarantine while helping someone else to increase theirs as well. | ['Cynthia Lim', 'Mayukh Dewan', 'Shareefa Bacchus', 'Jimin C'] | ['Best Domain Name from Domain.com'] | ['expo.io', 'figma', 'native'] | 5 |
9,987 | https://devpost.com/software/noname-h812n6 | MailSort Logo
Inspiration
The steady march of incoming emails from class websites, reminders from school, spam emails, promotions, notifications, confirmations, invitations, and updates make sifting through email a huge hassle, not to mention the ease with which emails that actually matter tend to disappear in the mix. With this in mind, and with the current crisis meaning email feeds are more crowded than ever.
This allows emails that are actually relevant to be sorted through and presented to the user in an easy to use fashion that will eliminate the suffocating feeling of sifting through spam and missing those important notices.
What it does
Uses an automated robot to sort emails from your inbox into labels.
How we built it
We built a robot using the Robot Process Automation (RPA) platform UIPath. We integrated GSuite APIs through the Google Cloud Platform (GCP) to access and edit a users Google Drive, Google Sheets, and GMail. We did this through OAuth so it is secure and the user will be prompted individually.
We sorted the emails into labels through a certain set of keywords the emails' body contains. The set of keywords is easily accessible and personalized, which will be automatically retrieved by our robot.
Challenges we ran into
UIPath's documentation and resources were limited so we had to rely on ourselves to develop and debug. This was especially true as we used the GSuite package which is not a part of the core packages of UIPath.
Accomplishments that we're proud of
We are able to 100% automate the sorting of emails based on our parameters.
We got it to work on anybody's Gmail account
We were able to learn a new technology in under 24 hours
We were able to work together as a team despite physical boundaries due to the current Coronavirus situation
What we learned
We learnt new concepts regarding robots and automation
We learnt the ability to utilize Google Cloud Platform securely and to its full potential
We learnt that we are able to tackle any new and difficult challenges if we are determined and worked as a team
What's next for MailSort
We hope to implement a sorting algorithm using Machine Learning rather than keywords
We hope to expand to other email services other than GMail.
Built With
css
gcp
google-cloud
html
javascript
uipath
Try it out
github.com | MailSort | A robot that automatically sorts your Gmail inbox | ['Palvisha Sharma', 'Garry Fanata', 'Christopher Morrison', 'Joseph Ayala'] | ['Best UiPath Automation Hack'] | ['css', 'gcp', 'google-cloud', 'html', 'javascript', 'uipath'] | 6 |
9,987 | https://devpost.com/software/mlhcovid19 | Inspiration - Android app made for complete solution during Covid-19 and Quarantine.
What it does - Its fun
How I built it - Android
Challenges I ran into - State Management
Accomplishments that I'm proud of - Finished it within time
What I learned - Coding for a cause
What's next for MLHCovid19 - Participating for sure!
Built With
android
firebase
java
Try it out
github.com | MLHCovid19 | Hack for good COVID-19 - Protect the society! | ['Apurv Jha'] | [] | ['android', 'firebase', 'java'] | 7 |
9,987 | https://devpost.com/software/autowatermark-bot | Testin with MLH
Test with Elon Musk
Inspiration
I wanted to make something that could easily add your signature to any photo without having to open up a photo editor such as Photoshop.
What it does
This bot adds your unique discord tag at the top left of any image.
How I built it
So first of all I have the bot take in the command message parameters and store it in a variable named url, then I use asynchronous http requests to download said url into a folder, then the signature is added, and the file is sent back. At the very end all the downloaded images are deleted from the bots directory.
Challenges I ran into
It was very difficult to understand the discord.py and aiohhtp requests documentation because they we're not very clear, and the aiohttp docs didn't mention a thing about media or image downloading so I had to do extensive research and ask around.
Accomplishments that I'm proud of
I now know how to properly use discord.py and aiohttp as well as the Pillow library which lets me do the editing
What I learned
I learned discord.py since it was my first time using it, as well as aiohttp (I am not familiar with any types of requests), I also learned Pillow but that wasn't very complicated.
What's next for Autowatermark Bot
I'l be adding lots of new features such as opacity control, specific placement, repeating signature, colors, font, different file extensions, and many more. I'l also implement moderation and user management into the bot so it could do the same as your other bots.
Built With
discord.py
python | Autowatermark Bot | A bot that watermarks any picture u send it | ['Mahbod Miraly'] | [] | ['discord.py', 'python'] | 8 |
9,987 | https://devpost.com/software/gocomputeme-gqdk37 | Inspiration
We were talking about how to do simulate genetic sequencing and eventually got to crowdsourcing computing power to fund scientific research to do intense simulations and projects
What it does
This serves a webbassembly programing to people willing to help with research to help boost the speed of research.
How I built it
Combined code written in C++, JavaScript, and Python. They all work in harmony.
Challenges I ran into
Compiling webassembly is still a poorly documented process, so compiling webassembly apps were rather difficult.
Accomplishments that I'm proud of
This works and it works after four hours.
What I learned
We reflectively learned webassembly.
What's next for GoComputeMe
We flesh it out since the current set up is very simple. We will most likely add: aesthetic improvements, computational improvements, more testing involvement.
Built With
flask
react
webassembly
Try it out
github.com | GoComputeMe | Science at your fingertips! | ['Vijay Iyer'] | [] | ['flask', 'react', 'webassembly'] | 9 |
9,987 | https://devpost.com/software/getdone-pvz5yw | Preview of the App
Landing Web page
About Page
Inspiration
A productivity app to help one focus during these hard times. As a team, we aim to be more productive and focused on our long term goals, that why we made this simple application to help guide us to the right path.
What it does
Simply enter a task you would want to achieve, followed by the duration of that task. When the duration of the task is over, you will be asked to do a "fun task" such as hugging your mom or make someone smile, then you will return back to work and repeat the entire process. All the data (tasks, times, etc) are all kept on local storage as of now.
How I built it
Since we only have 24hrs for this, we made this project by using HTML, CSS, and vanilla javascript.
Challenges I ran into
Making a leveling system to reward productive users, which in the end we had to change ideas, and stick to the base
level implementation.
Accomplishments that I'm proud of
Working under pressure, making the web app from scratch, and learning new javascript skills.
What I learned
How to code smarter in js, and work under pressure with members across the world.
What's next for getDone
Implement a DB, build a leveling up system to reward productive users. Challenege other users to see determine who is more productive.
Built With
css3
html5
javascript
Try it out
github.com
codingxllama.github.io | getDone | Productivity application during hard time. STAY productive and focused while having fun indoors. | ['Osama A.', 'Deepak Gupta'] | [] | ['css3', 'html5', 'javascript'] | 10 |
9,987 | https://devpost.com/software/pet-content-to-make-people-happy | Inspiration: With the coronavirus, so many people are bored at home. I wanted to make something that makes it easier for people to access to content they need (especially for pets)
What it does: It accesses the Unsplash API for images, Google Web for link, and YouTube for videos. You can search up content for cat, dogs, rabbits, or anything else.
How I built it: I used React and Redux
Challenges I ran into: I started learning these programming languages a week ago, so
I was still confused with the syntax. However I learned a lot more, in regards to the languages
Accomplishments that I'm proud of: I learned how to use multiple APIs
What I learned: This was my first hack-a-thon and I started learning React and Redux under 1 week ago. So, I
What's next for Pet Content to make people happy: A description at the top and able to load more than 5 results from each API.
Built With
react
redux
search
semantic
unsplash
youtube
Try it out
codepen.io | Pet Content to make people happy | It is simply Pet Content to make people happy at home. Access content for anything from the 3 apis for pet content. | ['ram potham'] | [] | ['react', 'redux', 'search', 'semantic', 'unsplash', 'youtube'] | 11 |
9,987 | https://devpost.com/software/my-portfolio-1r9ayp | Inspiration
At the beginning of this Hackathon I had no idea what to build, so I thought I should participate in " Build and Deploy your first Website" workshop, the idea of building my portfolio came to my mind.
What it does
My portfolio contains a lot of information about me since I attended the university,
It contains a short "About me" with my LinkdIn, Github and Devpost profiles links, my studies tracks, my programming skills and other technical skills, conferences and events and certifications i've attended (not updated), project that i've realised and finally where do I live and how to contact me.
How I built it
I built my portfolio using HTML5, CSS3, JavaScript and Bootstrap framework.
Challenges I ran into
The most difficult part is positioning components, spacing between components, visibility of the content and the limited time.
Accomplishments that I'm proud of
Now that I have a portfolio and built it during MLH "HackAt Home" hackathon I'm so proud of my self.
What I learned
What's next for My Portfolio
I will update my portfolio monthly and maybe change some design add some information.
Built With
bootstrap
css3
glitch
html5
javascript
Try it out
habbou-ayoub-portolio.glitch.me | My Portfolio | As an intermediate hacker, i think it's necessary to have a portfolio resumes almost every career detail of mine, so i decided for the first step to build it here in "HackAt Home" hackathon. | ['Habbou Ayoub'] | [] | ['bootstrap', 'css3', 'glitch', 'html5', 'javascript'] | 12 |
9,987 | https://devpost.com/software/octocat-game | Home Page
Here is the game, let's play
Welcome Page & Rules to play the game
Octocat-Game
A game on Octocats, build during Hack At Home Hackathon!
Game octocats are build for HTML,CSS and JavaScript languages
Challenges are coming on front-end but are faced for the awesome team work build the octacat game
My team members are already a full stack developer but my team learned the specially team work.
Built With
bootstrap
css3
html5
javascript
jquery
mern
Try it out
github.com | Octocat Game | A game on Octocats,an addictive game focuses on concentration power build during "Hack At Home Hackathon" | ['Sushant Gupta', 'badal .'] | [] | ['bootstrap', 'css3', 'html5', 'javascript', 'jquery', 'mern'] | 13 |
9,987 | https://devpost.com/software/karo-na-f54ity | Stats of India
Home Screen
Precautions
Helpline
Corona News
Considering all that has been going on, this pandemic COVID-19, we’ve tried to come up with a solution to make us more comprehensive and clear about what’s actually going in our world. This, COVID-19 is more widespread than severe acute respiratory syndrome, more infectious than seasonal influenza and has already killed the more people than Ebola. This is a virus with a huge lethal potential.
But, there where is awareness and information, there are precautions and betterment. People can only act if actually know about things. And although if we talk about India, we are doing better than a lot of countries till now but what future brings, no one knows. Our lives have been a complete mess since this virus entered our home, India. But what is more troubling or we can say, what can cause more trouble is the fact that we are gonna be helpless if we don’t know the facts and what to do. To make things easier, we built this app to make people aware of everything that is even slightly related to this dangerous virus.
Awareness is the key, they say. Awareness is the key, we believe. Measure are to be taken to fight this virus and of course sharing them with your loved ones should also be a thing. And counts/stats, everything is relied onto the counts of deaths attributed to this virus, to monitor the impact of disease and to guide responses which has been playing a significant role about what needs to be one.
Media also plays an important role in our community, so that they can attain all the necessary information and facts and brief them to the society but we all know there has been a lot of rumor spread going on and there is no transparency. People don’t really know what to believe and what not.
And even if something goes wrong, helpline is something that we don’t want, but NEED. Keeping these things at focus with many other important things, we’ve actually tried to come up with an app for everyone, which includes particulars, from safety measures to counts, from precautions to helplines, from news updates to stat update, everything at one stop. It is faster than anything else, accurate than anything else, and what not.
Built With
android
api
kotlin
retrofit
room
xml
Try it out
1drv.ms | Karo-na | Stay home, stay safe and stay updated | ['Ashu Jain', 'Saransh Jain', 'Bhavishay Gulati'] | [] | ['android', 'api', 'kotlin', 'retrofit', 'room', 'xml'] | 14 |
9,987 | https://devpost.com/software/hack-at-home-2020 | Hack-At-Home-2020
This is another hackathon repo for our app Pollen
How to create a new expo react native app
https://expo.io/learn
Trying to run
>npm install expo-cli --global
Getting an error.. errno: -13, EACCES,
running
>npm install expo-cli
lets see...
okay that worked
Now running:
>expo init pollen
choosing blank (TypeScript)
Chose to install all dependenices through yarn
Run project
cd pollen
yarn start
gott sdkVersion error ..didn't work
expo start
didnt work
expo-cli start --tunnel
sdkVersion is missing .. guess thats it
Going to make sdkVersion and expo version the same
Installing sdkVersion
go to app.json and add sdkVersion like I have in my app.json
deete your node_modules folder
run
>yarn install
expo-cli start --tunnel
Now you can scan the qr code on your iphone and can start working on App.tsx!
Editing the App
start by editing the app,tsx file
a. you can add more text components or make your own components!
https://reactnative.dev/blog/2018/05/07/using-typescript-with-react-native
Adding Google_maps_react component
yarn add google-maps-react
a. now use GCP to get google maps api key
b. create a .env file and add your api key (don't forget to use .gitignore and include .env there)
Create a MapView component where you will handle all the map api logic
this is a tsx so it may be annoying....
Create a GCP account and enable google maps javascript api with your api key
Adding and handling API Keys
Create a .env file
Built With
javascript
react-native
typescript
Try it out
github.com | Pollen | This is another hackathon repo for our app Pollen | ['Freddy Haug'] | [] | ['javascript', 'react-native', 'typescript'] | 15 |
9,987 | https://devpost.com/software/bytesofproblems | Home page
Problem 1 Statement
Problem 1, Syntax Error
Problem 1, Generating diagram from solution
Inspiration
While working on my computer architecture course with a couple teammates we discussed why no one had made a Verilog equivalent of Leetcode where aspiring Computer Engineers can practice implementing solutions at the RTL level. The closest is EDA Playground, where they provide an example based format demonstrating other's work and their weren't many examples listed.
What it does
This website will allow students to design, test, and debug verilog modules to meet problem specifications. Only one official example is listed on the website as of now, but with the modular design developed, expanding off of Yosysjs examples, while utilizing a cleaner text editor UI for the user. The user can access the webpage through any browser including mobile phones.
How I built it
I developed the web application through HTML, CSS, and Javascript. Almost everything is done client side for the user. Yosysjs, a javascript port of Yosys, allows Bytes Of Problems to not rely on servers to parse the user's Verilog modules. Quill is another API I rely on to provide a nice but easy to manage text editor for the user. To locally host the website for quick prototyping I used Python. Additionally I used Git for Version Control and Visual Studio Code as my IDE.
Challenges I ran into
Doing this project on my own, I was worried if I took on more than I can chew, especially since I wasn't adept in Web Development. Even though my project allows for a light backend (no server logic required other than fetching webpages) I was picking up libraries as I went and refreshing on Verilog. I didn't prioritize my time well enough and a lot of additional features I wanted to tack on ended up preventing me from focusing on the things I would need for a minimally viable product demo. I only have three examples at the moment and the website is live (1-3).
Accomplishments that I'm proud of
I'm proud of picking up multiple libraries during this hackathon and staying committed to this project. Around midnight May 2nd I was thinking my project couldn't be feasibly implemented and was thinking about giving up but I thought about how much I procrastinate work that I don't need to do. With deadlines left and right they'll never be a better time for me to work on a project I'm interested about than at a hackathon. So I kept working on it. It's not perfect and it hasn't reached the end goal desired functionality but I made a prototype of the thing I thought would be too hard to make in a weekend.
What I learned
I learned that I have underestimated basic front-end web development. I learned a lot of Javascript through this experience.
What's next for BytesOfProblems
I have several ideas on improving the product. For the presentation I focused on the limited scope of developing a single module that you would test but both Quill and YosysJS are compatible with interacting with multiple files and Verilog modules, I'm hoping to develop problems that force the user to apply the modules provided and see if they can develop bigger modules around that.
Quill is also compatible with syntax highlighting and that would make interacting with the text editor much easier, especially when experiencing errors.
I'm also thinking about allowing better syntax suggestions than what's possible with YosysJS and I may rely on some backend service to take the user's input and determine if it's syntatically correct via Icarus Verilog. In addition, this can prevent the trivialization of some problems as I could easily restrict certain solutions (not allowed to use + operator for implementing the adder, etc.). This was a fun project and I hope it continues to grow.
Lastly, I could definitely neaten up this project and apply web development practices better such as better formatting & isolating HTML,CSS, and JSS into respective files as much as possible instead of monolithic web pages.
Built With
css
html
javascript
quill
wavedrom
yosys
yosysjs
Try it out
saleh99er.github.io | Bytes Of Problems | An Online platform for students and ASIC engineers can practice their problem solving with Verilog. Much like Leetcode we offer an online platform removing the setup cost to get started. | ['Saleh Hassen'] | [] | ['css', 'html', 'javascript', 'quill', 'wavedrom', 'yosys', 'yosysjs'] | 16 |
9,987 | https://devpost.com/software/demo-pyg2rv | Welcome
HomePage
Global data
Dropdown to select a country
visualization
Responsive Visualisation
Graphical view about affected people
Graphical view about deaths
Inspiration
Nowadays, during this pandemic there was an extreme lack of resources such as education, Fun and Covid19 related, and we wanted an app that would allow all users to see where covid cases are most prevalent, how they can get their self well educated and how they’ll utilise their home Quarantine joyous.
What it does
Users can get the details about the number cases effected by covid, Infected people, Recovered and number of deaths caused by covid19. Users will get a beautiful visualization the whole number in all cases.
How we built it
API used:
https://covid19.mathdro.id/api
We built it with various languages such as : React, chartJS, Material UI and more.
Challenges we ran into
Being complete beginners to various technologies we had faced a lot of problems while figuring out every task. All of our team members are from different time zones so it's difficult to work together. Anyway thanks for the session on github it helped us a lot.
Apart from that getting api to work, solving merge conflicts, Understanding the props and hooks in react became difficult to understand as we do not have any prior experience working with react.
Accomplishments that we’re proud of
We tried our best to merge three things at a place (Education,Fun and Updates about covid19) and it does'nt workout well. Even we are proud of our efforts in making the things happen. The website seems useful and able to launch. One of the main thing is almost we all are at the beginner level.
What we learned
We have learned how to structure the complex react web applications. Some use cases of MaterialUI were clearly understood and Building a multi-page web app using react router(thanks for the mentor help)
Always build a scratch first and submit your project before the deadline.
What's next for Demo
Getting real users to use this website and share it, getting more countries onto the live covid19 section, getting real education and fun on board.
Built With
api
chartjs
covidapi
css3
html5
javascript
materialui
react
Try it out
covid19combinato.netlify.app | Covid19Combinato | To fight the boredom in this situation we came up with an idea to include all the interesting things like Fun, Education and Information(about COVID19) at a place (one stop solution....:)) | ['Madhav Dihora', 'Janvi Karia', 'Vishnu Kalyan', 'Adwaith Moothezhath Rajesh'] | [] | ['api', 'chartjs', 'covidapi', 'css3', 'html5', 'javascript', 'materialui', 'react'] | 17 |
9,987 | https://devpost.com/software/twitter-bot-tic-tac-toe | Inspiration
We wanted to take this opportunity to enhance our coding skills, while making something fun in the progress. Doing something new always attracts us. This was the first time we played with many programming phenomenons, such as APIs.
What it does
When you tweet @tictoctaebotfun #haha, a bot will automatically respond. Our goal was to include a link to a ticktacktoe webpage that we would develop ourselves. For now the parts are separate and the bot only gives back a message, which will just have to be incorporated with the website.Another team member worked on the database to keep a history of the games played by the user with mongoDP. We also used AI to make the bot a worthy opponent in tiktoctoe.
We set up an MongoDB atlast cluster to hold user data, including current game and how many games the user has won. Using pymongo we were able to update and read from this data base through a flask web app. The take away from this component was acheiving communication between the app and the database. The next step is to integrate the DB into the app, utilizing real user information.
Challenges I ran into
Because it was our first time using APIs, we ran into challenges on how to interact with it, as well as AI that will make the bot respond appropriately to moves to the player. In addition, we still have the challenge on putting it together, which we will attempt to do even after the hackathon. After working many hours on this project, we ran into challenges submitting it, as our brains were slowly diminishing.
Accomplishments that I'm proud of
Even though the parts are separate, we are really proud of what we accomplished. A day ago if you asked us to use a cloud with the database, work with AI and even APIs, we would not know how to respond. However, now we are more confident in our coding skills. With our teamwork, we were able to put together something we would show our parents.
What I learned
We learned about the twitter API, cloud services, databases, AI, python, javascript, flask, web development, etc.
What's next for Twitter-bot-tic-tac-toe
We are going to try to bring all of our elements together after the hackathon, since we did not do it in time.
Built With
api
javascript
python
twitter
Try it out
github.com | Twitter-bot-tic-tac-toe | for now the parts are separated, but when you tweet @tictactoebotfun #haha, a bot will auto respond back. other group members worked on the website and there is a python file than runs the AI | ['Anthony van Voorst', 'Jonathan Andrei', 'badgerwild k', 'Jonathan SolvesProblems'] | [] | ['api', 'javascript', 'python', 'twitter'] | 18 |
9,987 | https://devpost.com/software/accountwin | Homepage
Login page
Looking for an accountability buddy
The joy of finding an accountability buddy
Another live demo:
https://youtu.be/yqkOTb953ps
Inspiration
COVID-19 has held us hostage in our own homes. However, it has also been an opportunity to reflect upon ourselves: finally master that skill we've always wanted to, read that book we've been ignoring on our bookshelf, learn that foreign language or coding language. Staying productive isn't as easy as it sounds, but sometimes all you need is that extra motivation. AccounTwin presents you with the opportunity to grab it!
Our team believes that that extra motivation can come from a partner with shared goals. This partner will not only make it fun and competitive but will also introduce accountability, boosting productivity while striving to complete the goals together.
What it does
It keeps us Happy at Home! ;)
Similar to the dating app Tinder, users are mutually matched based on a check/cross mechanism. Other users are displayed anonymously based on their goals. Once matched, the users can then communicate with each other and disclose the essential information to hold each other accountable. The incentive mechanism makes sure a pair successfully completing their goal is rewarded.
How we built it
We used the MERN stack for the web app. Two of our team members were working on the front-end, while the
other two were working on the back-end. We started from scratch; most of the front-end team's work comprised of using React and graphic designing, while using MongoDB, GraphQL and integrations were the tasks of the back-end team.
Challenges we ran into
Not everyone was very familiar with the technology that they were working with, but we pushed our limits and learned in the process! One challenge was connecting MongoDB to our first user data. Since most of the team was relatively new to the MERN stack, routing was both a challenging and pleasant surprise. Moreover, merge conflicts kept arising, which united both sides of the team.
Accomplishments that We're proud of
We are proud of our idea and believe in its potential to improve productivity. Moreover, every member of the team had something new to learn. Regardless of the challenges we ran into, the team communicated effectively and surpassed those challenges.
What We learned
From learning a new development tool from scratch to running into new issues while using familiar tools, every member of the team has experienced it all with React, GraphQL, MongoDB, and routing. For half of the team, it was their first experience working remotely.
What's next for AccounTwin
The team will continue developing AccounTwin and implement or improve on features such as a point-based incentive system and leaderboards.
Built With
ant-design
express.js
mongodb
node.js
react
Try it out
github.com | AccounTwin | AccounTwin lets you win a twin so you can win your goals! Be held accountable by like-minded and driven individuals to reach your goals together. | ['Vikas Shukla', 'Ebtesam Haque', 'Isabel Abonitalla', 'Abhishek Kumar Singh'] | [] | ['ant-design', 'express.js', 'mongodb', 'node.js', 'react'] | 19 |
9,987 | https://devpost.com/software/zunelectures-luvzwh | Upload your video with your login ID
Interface for transcription and tools for annotations.
Here, you will have the video playing by the side, while you can make annotations on the video transcription.
Registered domain name from domain.com:
https://www.zunelectures.online/
Inspiration
With university moving online recently, we all had to get used to online lectures. Often it is difficult to hear or follow the lecture as well due to the online format. Having the notes would be helpful to follow along with the lecture and enable us to write better notes.
What it does
ZuneLectures transcribes video lectures into text on an interface and allows you to add your own notes and annotations to that transcription while the video is playing, so that you can take better notes on what the video is saying.
The video can be played alongside the notes, and you have tools to use to make highlights and side notes on the transcription of the video, in order to help the user learn more from the video they are watching.
How we built it
We created a React app that uses a node.js backend, stores the video in a mongoDB database, and uses the google cloud speech-to-text library on that video to receive a transcription. Then, we used React to add the additional tools for users to make side notes and annotations on the transcription UI.
Challenges we ran into
Figuring out how to process the audio separately from a video file was a challenge for us initially. Once we figured out how to take the audio from the video file, we were able to use GCP on the audio to transcribe it into a text document. We also ran into some challenges with the backend and ensuring that our app and the Google Cloud Platform were linked. Additionally, we ran into issues with connecting to our MongoDB Atlas service, but we tried switching the provider from GCP to Azure and it seemed to fix the issue.
Accomplishments that we're proud of
We are proud that we managed to overcome sleep and the challenges of working remotely to get a final product running. As well, we are proud we managed to incorporate many technologies in our stack, and that we were able to successfully host on a domain.
What we learned
We learned how to use React over the weekend and how to use the Google Cloud Platform to convert the audio from the video into the transcription. As well, we learned how to work remotely with each other, and how to access video processing through MongoDB.
What's next for ZuneLectures
Increasing our reach to more platforms, including iOS, and Android. Marketing this product to users at different universities across the world, so that they can all benefit from this increased productivity.
Built With
azure
css
google-cloud
html
javascript
mongodb
node.js
react
speech-to-text
Try it out
www.zunelectures.online
github.com | ZuneLectures | Transcribes your video lectures so that you can annotate your notes for your online classes. | ['Ryan Larkin', 'Dmitry Tsarapkine', 'Karl Zhu', 'Carmen Lamprecht'] | [] | ['azure', 'css', 'google-cloud', 'html', 'javascript', 'mongodb', 'node.js', 'react', 'speech-to-text'] | 20 |
9,987 | https://devpost.com/software/abracadabra-2cahrj | Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for ABRAcadABRA
Hello! We are team ABRAcadAbra from Silicon Valley. Due to the CoronaVirus pandemic, for our project, we decided to focus on spreading awareness in our city and found a way to notify members of our community regarding the dangers and abundance of the virus at frequently visited places. Our goal was to inform people of the conditions of stores around them so that they can keep in mind how to better prepare for those places. We intended to show varying degrees of colors to represent different danger levels, with white representing low/zero risk, and red representing an intense amount of cases that were found in that area. Our intention for the app was to also give users a platform to share their own personal knowledge of cases in different locations. In order to do this, we used the Eclipse IDE, implementing our skills in JavaFX to include images, buttons, and a flurry of colors. We started out unaware of how to move forward, but after gaining momentum we were able to “MAP” out a plan and successfully carry out our project. We incorporated buttons for the users to use every time they heard of any cases in the area. In the background, we kept a running counter that would increase and change based on the data that the users presented. After a certain number of cases, there will automatically be a shift of color on a dot next to the location. This color change will notify the users the danger in that zone/marketplace. Overall the project had its ups and downs, but through teamwork we were able to create a baseline, hopefully expanding and improving the project in the future.
Built With
java
Try it out
bitbucket.org | ABRAcadABRA | ABRAcadABRA | ['Rucha Deo'] | [] | ['java'] | 21 |
9,987 | https://devpost.com/software/medtrack-yp27ir | A sneak peak into our project!
The logo of MedTrack!
Inspiration
India, unlike most other countries, does not have a centralised health system. This is especially crucial in this pandemic. Therefore, we decided to create a centralised health system.
What it does
This is a centralised health system for doctors, patients, data analysts, pharmacists, and pathologists to use. They run on different servers to ensure that the stakeholders get to see only the information they need.
How we built it
We did design, front-end and back-end programming.
Challenges we ran into
Time, time, time! We needed to rush things. We had
a lot
to do!
Accomplishments that we're proud of
We managed to do three servers (doctors, patients and data analyst). We chose to do these three as they are more important in this pandemic right now.
What we learned
We learnt teamwork! Since we are from different time zones (as big as 12 hours apart), we found it hard to agree on a specific time frame to finish the whole project. With good division of workload and cooperating with one another, we managed to come out with the project!
What's next for MedTrack
Finish the pharmacists, and pathologists servers.
Built With
css
design
javascript
ui
ux
Try it out
github.com | MedTrack | Track fast. Track simple. Track secure. | ['Nivedita Prasad', 'Min Min Tan'] | [] | ['css', 'design', 'javascript', 'ui', 'ux'] | 22 |
9,987 | https://devpost.com/software/testeasy | Inspiration
Amidst online learning, students are faced with a diverse amount of test formats. Professors require a PDF version of their paper exams, but there are a vast amount of students who do not have access to a printer, and must go through a tedious process to create the desired submittable PDF.
In fact, not every single student can afford to buy their own printers or scanners. As students, some of us have faced this problem ourselves and we understand the pain of not having access to a printer. Some people will rely on their public libraries, school libraries and other means to find a way to access a computer. However, this strategy is no longer feasible and applicable for these students. Due to this pandemic, most students are obliged to stay at home unless it is necessary to leave their safe haven.
Questions we considered:
What would happen to students who do not have access to printers or scanners during this quarantine period?
How can students conveniently merge their files to hand it in to their instructors?
Why are we going to let these students lose their opportunity to educate themselves if we know that we should do something about this problem?
Solution
Students won’t have to use multiple platforms to upload their work anymore!
TestEasy is a centralizing program that students can use to upload their work and answers. Students can merge the multiple files that they have uploaded onto the website. Each file uploaded represents one answer to the question.
This web app would also help reduce paper waste and allow students to work on their assignments without the use of a printer.
Aside from that, TestEasy is an accessible and convenient web app that can be used on the web browser of your device.
How We built it
In the beginning, we brainstormed for the functionality of the web app. We also created a name for the website and we designed the website’s logo. We prototyped the web app using Adobe XD as a group.
After planning out the prototype, we started coding the frontend of the website using HTML, CSS and JavaScript.
Then, we hosted our Github repository to a customized domain address called
http://testeasy.tech/
Node.js was also used for the frontend and the backend of the website. After finishing the backend, we connected the frontend to the backend.
Challenges we ran into
In every path, there are obstacles to be encountered. Our team faced difficulties in communicating with each other due to time zone differences.
We’re from Canada and the United States. With the time zone difference, some of us had to compromise by sacrificing our sleeping schedules.
In addition, sometimes the internet connection sucks. It’s difficult to be working on a project during a call with a bad internet connection.
We were pretty much noobs in web development. JavaScript was quite challenging to learn firsthand. So then, we asked for help from a mentor who helped and guided us through JavaScript.
During the beginning of a hackathon, we had a different solution and problem that we wanted to tackle. Due to the time constraint and extensive technical complexity, we realized that our first idea would approximately take about one week to be finished. As a result, we had to pick a more realistic project after 6 hours of when the hackathon begins.
We’ve implemented a dynamic website on our local host, however we did not have enough time due to the time constraint. Therefore, we did not have any more time to create a new website.
However, we did not want time zone differences, sleep deprivation, bad internet connection and other setbacks to hold us back from participating at TO Hacks 2020.
Accomplishments that we’re proud of
One of the accomplishments that we are proud of is our a domain.com
Flexibility → pivoted and changed our project
Website → I learned node.js
Website looks presentable
What we learned
Making a pop up on a website
Git
Node.js
What's next for TestEasy
Improve the design and layout of the website.
Modify lines of code to be able to parse through more than one question.
Next step, host our server where they support dynamic programming languages..
Built With
HTML/CSS/JS
Template from ColorLib
Node.js
What Makes us different from other competitors
The free PDF platform won't be able to overlay with the image on top of that layer.
Ours is customized to help students submit PDF assignments online
Merging full pages of documents together
Built With
adobe-xd
css3
html
https
javascript
node.js
Try it out
testeasy.tech
github.com | TestEasy | printer free assignment submissions | ['Maddie T', 'Arianne Ghislaine Rull', 'Torja Istiaque'] | [] | ['adobe-xd', 'css3', 'html', 'https', 'javascript', 'node.js'] | 23 |
9,987 | https://devpost.com/software/ocular-aid-kwld3t | Logo
Main graphical interface
Settings Page
Domains
nostrain.space
Inspiration
As society becomes paralyzed by the spread of COVID-19, more and more people find themselves staring at their computer screens while working from home. It is expected that many people will soon find themselves experiencing the harmful effects of prolonged screen time. We want to create an assistant that can recognize the signs of digital eye strain and alert the user.
What it does
Ocular Aid uses computer vision technology to detect symptoms of digital eye strain. In addition to this, face detection is used to calculate a user's total screen time and users are able to set periodic alerts that remind them to rest their eyes.
How we built it
Ocular Aid is centered around the fact that humans blink at a slower rate when fatigued are experiencing eye strain. Using OpenCV, human eyes and their bounding boxes are detected with Haar cascade classifiers. The images are then cropped to only contain a single eye. The images are then classified as either open or closed by a pre-trained Densenet-121 feature extractor that is attached to a fully-connected classifier (trained to 96% accuracy on testing data). Ocular Aid's desktop application was created using C# and its WPF UI framework.
Challenges we ran into
A majority of our group had little to no experience with C# and WPF.
The Haar cascade classifiers had some issues when the user was wearing glasses.
Accomplishments that we're proud of
We hacked out a full blown Windows app that has so many real-world applications in just 24 hours! Not only that, but we learned a lot.
What we learned
We gained lots of experience with C# programming.
We learnt about Haar cascade classifiers.
We became much more experienced with OpenCV and image processing.
What's next for Ocular Aid
We'd like to have Ocular Aid take more factors than just blink frequency into account when detecting eye strain. There are also many possible optimizations that should be made. For example, we work with greyscale images of eyes while the convolutional neural network accepts 3 channel RGB images as inputs. This means that the neural network has more parameters than are actually needed.
Built With
.net
c#
css
html
javascript
opencv
python
pytorch
wpf
Try it out
github.com | Ocular Aid | A digital assistant that can "see" symptoms of eye strain and fatigue. Reminding you to take adequate breaks. | ['Rohan Shetty', 'Trevor Du', 'Kevin Gao', 'Matthews Ma'] | ['Honorable Mention - Top 5'] | ['.net', 'c#', 'css', 'html', 'javascript', 'opencv', 'python', 'pytorch', 'wpf'] | 24 |
9,987 | https://devpost.com/software/covid-19-geotracker | What it does
Users can log in to their account and log the places they've been to with a date and time period. They can also self report if they are tested positive for Covid-19. The system will notify all the users who have been in the same location, and at the same time with someone's who's been tested positive. We will keep all user information anonymous while making our community a safer place
Built With
api
bootstrap
css
django
firebase
google-cloud
google-cloud-sql
html5
javascript
leaflet.js
mysql
python
react
sql
Try it out
github.com
github.com | Covid-19 GeoTracker | Stay safe by logging the places you've been to. We will notify you if someone who's been tested positive have been in the same location during your stay. | ['Janie Wang', 'Huy Tran'] | [] | ['api', 'bootstrap', 'css', 'django', 'firebase', 'google-cloud', 'google-cloud-sql', 'html5', 'javascript', 'leaflet.js', 'mysql', 'python', 'react', 'sql'] | 25 |
9,987 | https://devpost.com/software/smart-rescue-system-qbemd3 | Inspiration
In the case of Natural or Man-made calamaties, Rescue of people and Animals becomimng a Challenge.
Our Projects detects Humans, Animals, Signs and Gestures. And mimics the Human vision and makes decision as like as Human.
Identifying objects for the purpose of Rescue is a challenge for Human-eye, to avoid this we use Computer Vision.
What it does and How we built it
We created Dataset in which all types of Gestures and Objects are included and Trained. which helps to recognize and detect various Hand Gestures, Signs , objects and persons.
We use Drones inspite of Helicopters and Land-Vehicles for Rescue purpose. And we attached Camera, GSM and GPS modules along with above mentioned DataSet, which detects Real-time objects and Tracks location then sends location along with visuals.
Challenges we ran into
Processing of Bulk of Data
Accomplishments that we're proud of
Solving existing problem around us
What we learned
New Technologies and New Challenges
What's next for Smart Rescue System
We would like to implement this drone that capable of transportation organs in between cities or location.
Built With
drone
jetson-nano
opencv
python
twilio
uav
Try it out
github.com
bnsganesh.blogspot.in | Smart Rescue System | Elimination of Delay in the Response of Rescue | [] | [] | ['drone', 'jetson-nano', 'opencv', 'python', 'twilio', 'uav'] | 26 |
9,987 | https://devpost.com/software/canvas-calendar-transfer | Inspiration
More students are using online learning platforms to do their work. A popular platform is Canvas. It is often difficult to work with Canvas, as it has its own personal calendar which cannot be exported. This is the same for other applications. With teachers using different applications, it is often difficult for students to keep all the assignments together.
What it does
This program is meant to transfer the calendar activities from Canvas and other learning platforms to a personal calendar (currently Google Calendars), allowing for more convenience for the student user. As of now, the program supports Canvas and Google Classroom.
How I built it and What I learned
I learnt how to UiPath Studio. Through a series of clicks, typing, and OCR, the program transfers the information from Canvas to a personal calendar. I learned a lot about UiPath and WorkFlow. I learnt how use Computer Vision and OCR. I also learned how to create variables
Challenges I ran into
It was difficult to set up UiPath. Once there, I had to learn about the different activities. Also, working with times were difficult and organising my workflow.
What's next for Canvas Calendar Transfer
I hope to make it more robust and less glitchy. It's also very specified to my machine right now; I want to make it more broad and general. Also, I'd like to make it export in bulk and make it compatible with more programs. In addition, I would like to make a nice UI, which I was unable to do due to time restraints.
Built With
rpa
uipath
Try it out
github.com | Canvas Calendar Transfer | Retrieves Assignments from Different Platforms and Adds it to a Google Calendar | ['Shreya C'] | [] | ['rpa', 'uipath'] | 27 |
9,987 | https://devpost.com/software/socialbutdistant | Inspiration
We were inspired by the challenges of COVID-19 where the only way we can see our friends is on zoom calls. Zoom meetings and google hangouts started to be a very regular thing as the weeks of quarantine went on. All of a sudden we were bombarded with links daily, and on the weekends, hourly. It felt like zoom links were being used up more than face masks and it was hard to keep track of them all.
What it does
Manages currently going video meetings between friends or large groups of people. The entire site is based around the idea of having a single link that never changes but is always your key to your video conferences with your friends. Initially some one would create a group and pass out its link to those they wanted to have video conferences with. Those that received the link to the group could bookmark this link and return to it daily to go directly into the current video conference with out needing the new link for the new day. Anyone with the link has access to the video calls (no need to sign in!). We also optionally allow the group creator to set a secret word so the calls are not joined by randos. Once in the group with the link anybody can create a video conference in this group but that would require creating a login.
How I built it
Made use of mongodb and google cloud platform to make a production ready nodejs express backend using no time at all. We kept the front end simple using bootstrap for css and ejs for template rendering.
Challenges I ran into
Besides a couple of silly bugs that burnt up some time, the hack went over rather smoothly. One issue was waiting for Domain.com to update the DNS entries for our domain so that google cloud would verify it and we could use our new domain (socialbutdistant.online) on google cloud with HTTPS SSL. Unfortunately, at submission time it still hasn't verified. Though, the google sub domain is not that bad either (social-but-distant.ue.r.appspot.com) and has turn key SSL.
Accomplishments that I'm proud of
Having an actual production ready deployed site. Google app engine made it way easier than I was expecting. Usually you are demoing off of local host at the end of a hackathon because you tried but failed or only got it out half way before you got real stuck. Not this time!
Also we were both pretty new to the nodejs and mongo stack but luckily it all just clicked and didnt get stuck too long on anything.
What I learned
Learned and loved ejs templates. It makes it easier to render html files in logical a modular way. Also learned that mongodb and google cloud platform is definitely the move for a hackathon because of its ease of use.
What's next for SocialButDistant
The site still needs a little bit more work to make it a fully functioning site. Would need to add pages and routes for the boring stuff like general settings, reset password etc. But besides that we could probably start making our friends use it right away!
Built With
bootstrap
css
ejs
express.js
font-awesome
google-app-engine
google-cloud
html
javascript
mongodb
node.js
Try it out
social-but-distant.ue.r.appspot.com | SocialButDistant | A central hub for you and your friends to share zoom/ google hangouts/ etc virtual meetings. No longer have to send out links every time a new chat room is created. | ['Anna Morozova'] | [] | ['bootstrap', 'css', 'ejs', 'express.js', 'font-awesome', 'google-app-engine', 'google-cloud', 'html', 'javascript', 'mongodb', 'node.js'] | 28 |
9,987 | https://devpost.com/software/vett | Two players
Play the game now ! :
https://stoic-varahamihira-c8d884.netlify.app/
https://vett.space
Inspiration
Now that most of people are staying at home, they're playing games with each other to connect. We play Dots & Boxes game (called As Poojyam Vettu in our local language Malayalam) when we were all kids. It's still a popular game in school :
https://en.wikipedia.org/wiki/Dots_and_Boxes
How about we make it digital ? That'd be cool ! And we can play it with our friends after this !
We've also been working with WebTorrent and WebRTC P2P connections. It amazes us and inspire to make more P2P cool stuff.
What it does
Implements the Dots and Boxes game in JavaScript. Players can play with their browser itself on the webpage and connect directly. No registration, instant invite and play !
How we built it
P2P connection is established using WebTorrent trackers as signalling server in WebRTC. It's built with a library we're making to leverage WebTorrent trackers to establish P2P connections :
https://github.com/subins2000/p2pt
There's no backend involved ! All happens in the browser ! (except for the WebTorrent trackers)
Challenges we ran into
Building the grid
Building the logic for Dots and Boxes (How'd we know if a box is complete ?)
We're using Vue for the first time. It's good, but there were some problems we faced
Passing data peer to peer to know which box is selected
Accomplishments that we're proud of
It works !
We teammates played together and it worked
What we learned
We got to learn Vue !
We got to learn d3.js
What's next for Vett
Host it better and make it easily playable for everyone
Improve UX
Add invite links
Built With
bulma
javascript
vue
webtorrent
Try it out
stoic-varahamihira-c8d884.netlify.app
github.com | Vett, The Dots & Boxes Game ! | P2P dots and boxes game ! | ['Subin Siby', 'Athul Cyriac Ajay'] | [] | ['bulma', 'javascript', 'vue', 'webtorrent'] | 29 |
9,987 | https://devpost.com/software/divoc-e0fywm | Flow chart depicting the working of the whole system.
Homepage of the application
Teacher Login
Student Login
Teacher Dashboard
Student Dashboard
Canvas as a blackboard
Asking question in middle of a lecture
Tab Change alert to gain students attention to the lecture
Inspiration
There is an old saying,
The Show Must Go On
, which kept me thinking and finding out a way to connect teachers and students virtually and allow teachers to take lectures from home and to develop a completely open source and free platform different from the other major paid platforms.
What it does
This website is completely an open source and free tool to use
This website whose link is provided below, allows a teacher to share his / her live screen and audio to all the students connected to meeting by the Meeting ID and Password shared by the teacher.
Also this website has a feature of Canvas, which can be used as a blackboard by the teachers.
Including that, this website also contains a doubtbox where students can type in their doubts or answer to teachers questions while the lecture is going on.
Again this website also has a feature of tab counting, in which, tab change count of every student is shown to the teacher. This will ensure that every student is paying attention to the lecture.
Also, teacher can ask questions in between the lecture, similar to how teacher asks questions in a classroom.
How I built it
1) The main component in building this is the open source tool called WebRTC i.e. Web Real Time Communication. This technology allows screen, webcam and audio sharing between browsers.
2) Secondly Vuetify a very new and modern framework was used for the front end design.
3) Last but not the least NodeJS was used at the backend to write the API's which connect and interact with the MongoDB database.
Challenges I ran into
The hardest part of building this website was to find a
open source
tool to achieve screen and audio sharing. This is because Covid crisis has affected most of the countries economy due to lockdown. Hence, it is of utmost important that schools and colleges do not need to pay for conducting lectures.
Accomplishments that I'm proud of
I am basically proud of developing the complete project from scratch and the thing that anyone who has the will to connect to students and teach them can use it freely.
What I learned
I learned a new technology called WebRTC which I believe that is going to help me more than I expect in future.
What's next for Divoc
Integrating an exam module and allowing teachers to take exams from home.
Built With
mongodb
node.js
vue
webrtc
Try it out
divoc.herokuapp.com | Divoc | DIVOC - An Antidote For - COVID | ['Sanket Kankarej'] | [] | ['mongodb', 'node.js', 'vue', 'webrtc'] | 30 |
9,987 | https://devpost.com/software/airnote-xby9z1 | AirNote
Make notes online, collaborate with friends easily!
Today all of us are stuck at our homes dues to the CoronaVirus epidemic and students are stuck too when it comes to attending school and studying. So we thought why not use this opportunity to make an app that can help students and professinals to make notes online and collaborate over the internet to seemlesly work or study in this time.
The Inspiration
I was inspired to make this app when me and a group of freinds wanted to study and make notes together but we were not able to meet at one place due to the COVID - 19 Virus, so i thought of connecting the internet to notes making so we can easily study and make notes together.
The App
Home page So this app basically leverages the power of realtime databases to collaborate for making notes, the app works like this:
Click on the "Start a Session" > This will start a new session and redirect you to a new page.
Now start editing the new document.
To collaborate, just copy the tab address and share it with your freinds to collaborate.
If you want to edit these documents later, just save the link, these documents are saved online.
Technical Part
Technologies use: This app is mainly programmed in Javascript as I am used to this language. I have used Firebase for the real time database.
Other tech used:
HTML
CSS
Libraries used:
Firepad (firepad.io)
Tools Used
Firebase
Building Process The build was easier than I thought and it took me almost 4-5 hours to complete all of this. I used VSCode as my primary editor.
Problem Encountered The main problem was with the Firepad library as it does not have a very rich documentation but I solved this problem by searching online and using tech articles. The UI was also a problem as I am not a very artistic person. :(
What I learnt? I used Firebase for the first time and i absolutely loved it, I also learned a lot about collaboration and UI.
Built With
css3
firebase
html5
javascript
Try it out
github.com
airnote-app.netlify.app | AirNote | Make notes online, collaborate with friends easily! | ['Saksham Saxena'] | [] | ['css3', 'firebase', 'html5', 'javascript'] | 31 |
9,987 | https://devpost.com/software/never-have-i-ever-hackathon-edition | never have I ever title card
Inspiration
Because of quarantine, we're spending a lot of time on social media and playing around with filters. We became curious as to how these filters were made and decided to take a crack at it ourselves!
What it does
Our project lets users play Never Have I Ever! It randomly picks a Never Have I Ever... question and the user has to answer that they have done it or that they haven't done it by tilting their head right or left respectively.
How we built it
We built our filter using Facebook's Spark AR.
Challenges we ran into
No one on the team had experience with Spark AR before so it was a bit of a learning curve learning it in 24 hours. The biggest challenge was with learning what patches there were and how to creatively use them to do what we wanted to do. Spark AR is relatively new so there was less community support. We had to figure it out as we go.
Accomplishments that we're proud of
We love how we were able to integrate the interactive left/right head tilt to our filter.
What we learned
We learned that we could learn a lot in 24 hours! Considering that no one on the team has used Spark AR before, we're really proud of the final product. All it takes is effort and motivation and a supportive team to create something amazing in such a short period of time. We have worked together as a team before so having the initial chemistry helped a lot in understanding the collaboration and work-style of each other.
What's next for Never Have I Ever (Hackathon Edition)
Hopefully in the future we can add more questions as well as add more interactivity such as a countdown timer and supporting multiple faces!
Built With
particle | Never Have I Ever (Hackathon Edition) | Ever wanted to know what you and your friend have or haven't done? This interactive filter built using Spark AR is for you and your friends to find out what exactly! | ['juliete zhu', 'Steven Lee', 'Pyi Theim Kyaw'] | [] | ['particle'] | 32 |
9,987 | https://devpost.com/software/who_dis_ar | Guess the person
To the correct caption before time runs out
Inspiration
It all started when my mom met my dad, and they had me. Hi my name is Sim and my life has gotten a little dull, a few minutes of joy, sparks of happiness are now seldom found. Unless I'm harassing my family with AR filters found on Instagram or proving I know more about useless random, like how many fingers Galileo had... The answer is 10.
(I have not verified this information, but it's probably true. I can't find anything saying it not true)
What it does
It's both for entertainment and education. I think its the study tool of the _ italics _ future _ italics _ future _ italics _ future! students, teachers, families, friends, can all learn something new and share it. Or they can provide that their actually much smarter than family and friends.!
How I built it
Spark Ar and I'm trying to get a website up for that sweet best domain name. So we'll say github pages!
Challenges I ran into
I didn't sleep much last night and I'm hours behind you as I live in LA, so I wake up late and started late, then I forgot to have on spark ar. It crashed because I was running fortnight, (not sure how it got opened) and like a million chrome tabs. Thus erasing all my progress, to make matters worst I've near done an AR project before or use Spark AR... So I was also breaking things... #learningcurve and no one, not a single person wanted to work with me. I'm stressed.
Accomplishments that I'm proud of
My quick research, the fact I might just pull this off, I just played up Swift and Gottfried, for brownie points. I still did this less than 24-hour hackathon, even though everyone bailed on me. I made something I have never tried before, ie ar. I haven't fell asleep yet, not OD on caffeine. Staying awake without awake chocolate, but in all seriousness, I'm making something that I'm passionate about, that makes me excited, else I could have just gone to sleep and said screw this.
What I learned
Take the recipe out of the bag, shove it in your pocket or your mom will judge you for spreading $30 on energy drinks.
How to use Spark Ar.
How to keep a straight face and not cry when everything you built is broke. How to learn a new skill in 5 hours,
How to understand the power of the individual, when he is both sleepy and determined.
What's next for who_dis_ar
Hopefully a shoutout from Swift and Gottfried? Also I can see this having amazing results as a tool for learning in school so hopfully more awesome people get added and it goes viral for like 2 hours and I fall asleep, I'm sorry I'm really sleeply. Also if what I wrote makes no sense I have dyslexia and I'm sleeply I sorry. Its my understanding everything is fine.
Also domain is whodisar.tech
Built With
ar
particle
Try it out
whodisar.tech | WhoDisAr | It's Rona's time. Who dis ar, is the ar experience to fight boredom and improve that education. We provide an experience to test everyone with everything they know about the most influential people. | ['Sim-Marcel Bilal'] | [] | ['ar', 'particle'] | 33 |
9,987 | https://devpost.com/software/pixtools-a-discord-bot-for-hypixel-queues | Pixtools Logo, created out of red hardened clay and quartz blocks and slabs.
Hello! :D
Picture of the Pixtools website
Pixtools - A Discord bot for Hypixel Queues, making life better for Minecrafters
(
GitHub
,
Website Source
)
Inspiration
When our middle-school switched to fully online learning after the COVID-19 pandemic came to our state, our technology club decided to start hosting weekly Minecraft hang-outs on the Hypixel Network. Since then, we've had a lot of fun playing Minecraft together.
The Hypixel Network is a multiplayer Minecraft server with
lots
of minigames. With so many game modes and customization options, it is hard to choose what minigames to play on the calls.
Pixtools is a bot that solves this problem.
What it does
Pixtools is a discord bot that can connect to any discord server. Its main feature is a queuing system for minigames. Members can queue up their favorite minigames, and everyone can play how they want to play.
In addition to its queuing system, the discord bot talks to the Hypixel Network for stats and custom integrations. The bot can show you a list of current minigames on the server, the number of players who are online, and the status of the Hypixel API.
How we built it
The PixTools bot is built in a discord bot library called discord.js, built-in node.js. Our website was designed and built at the same time the bot was being built, with collaboration on design cues and colors.
Challenges we ran into
I figured time constraints would make a developed product that didn't live up to the standards set by ourselves, yet either way in the time we were allotted it looks good! - Arihant
This was the first time I had ever worked with databases before, and it was super confusing! In the end, I didn't have enough time during the hackathon to implement a feature. - James
In the beginning, I wasn't too confident of using databases or ESLint since I've had bad experiences of all, but since I had a good time I was able to push through the challenges. - Damian
Accomplishments that we're proud of
I'm proud of being able to utilize the indefinite amount of time that I have on my hands, plus our bond as a team was strong. - Damian
Getting myself out there to actually join a team instead of going solo sounded like a good change and I'm glad I was able to interact with more parts of the community due to it. - Arihant
I'm really proud that we were all working as a team, even through remote calling and internet snafus. I was worried at the beginning that we wouldn't be able to bond as a team as we would in person, but it was an amazing experience. - James
What we learned
I learned the basics for creating SQL databases, how to write discord bots, and how to use ESLint. - James
I learned how to use SQL dbs and how to configure and utilize ESLint. - Damian
My understanding of video-edition has been pushed plus re-familiarizing myself with JS and Discord Bot Creation - Arihant
What's next for Pixtools
We have a lot of plans for PixTools. Our end-goal is to get Pixtools on 100 discord servers by the end of the year. We want to be able to interface with our Hypixel guild to get player information and notifications when your friends are online. We also want to add a separate queue method where you can vote for your favorite minigame choices, and these would be pushed to the top of the queue. Giving a time range/estimate for each minigame would make our bot feel more polished and would be very helpful to the host. One of the most exciting features would be for the bot to be able to keep track of player's IGNs to help aid the host in inviting them to the party.
Overall, this experience has been really fun! We're super excited to bring Pixtools to the general public in the near future, to help facilitate video game hangouts around the world!
Built With
css3
discordjs
html5
javascript
node.js
Try it out
pixtools.p2phack.club
github.com
github.com | Pixtools | A Discord bot for Hypixel Queues, making life better for Minecrafters | ['James Kerrane', 'Sidd Nareddy', 'Damian Freeman', 'Giga'] | [] | ['css3', 'discordjs', 'html5', 'javascript', 'node.js'] | 34 |
9,987 | https://devpost.com/software/storeq | the homepage
a single quantum circuit with 6 qubits and initialized information
logo :D god bless online logo generators
StoreQ
StoreQ is a futuristic storage system that works by encoding classical data into quantum circuits.
What it is
StoreQ can upload and retrieve information from a quantum computer using quantum circuits. This entire process is done by simulation of qbits and quantum processes on my personal computer(which is obviously not quantum).
StoreQ can successfully demonstrate encoding normal (classical) data into a quantum simulation, and is also capable of extracting the data's information from the probability distribution of the qBits. It thus demonstrates a one-of-a-kind quantum data storage and backup system.
Why it's special
I think this project has huge extensability beyond what I was able to do in a day. Here's a few:
Because the storage media is via quantum circuits, we can use
entanglement
and
superposition
to represent all the data we accumulate into a single qbit superposition. [sorry for the jargon :(!] What it means is that we can represent a big chunk of information in a single quantum bit, and get the information we want from it by "measuring" it in certain ways.
Because of the API I created to link the backend to the frontend, it can actually be triggered from your google home! Say:
Ok Google, ask StoreQ to launch demonstration
Because it's not all theory and jargon, with nothing to show. I'm proud to have implemented a working concept!
What Inspired me
Art! I initially was thinking of a way to link quantum computing principles with art. Art led to images, and quantum computing led to quantum circuitry. And bam, the idea was born.
How I built it
The frontend is linked with the core backend via a python RESTful API using flask. I did not spend too much time on this, as you can tell, as the core backend is the emphasis. Nevertheless:
The
Upload
button uploads the image (in greyscale, and resized to not overload my computer) to the quantum computer simulation.
The
Download
button downloads the image by reconstructing the data from the probability distributions stored in the qbits.
This is how the backend core works. I'll go in steps:
Storage:
The data used here is an image. Each row's values are firstly one-hot encoded using a LabelBinarizer(a concept borrowed from machine learning), so that the vector amplitude sum is 1. This is a quantum constraint we have to follow.
Each binarized vector is stored in a qbit array via initialization of the values, which is the basis of out quantum circuit.
Recovery
the array of quantum circuits and the
LabelBinarizer
objects are used to recover each vector.
The vectors are converted to numbers.
The numbers form the matrix, which Is the resultant image.
What I learnt
This was really, really, really fun. I learnt so much about how quantum computers work and was able to actually apply it to an idea that interested me. What gives me even more excitement is the possibilities this holds, that I haven't implemented yet due to time constraints.
I learnt about the current quantum computing ecosystem and what tools researchers in the field use. I also got to whip up a quick web frontend for it, which I was also proud to learn and implement.
Also, shoutout to my roommate for explaining to me fundamentals of quantum computing when my brain hurt from trying to understand too much at once. Like, a lot. He's got a bright future.
References:
Fixing weird LabelBinarizer with
a custom class
Quantum Circuits with
qiskit
Quantum physics and art article
Representing qbit states
css font generator
Built With
css
html5
javascript
python
qiskit
quantum
Try it out
github.com | StoreQ | StoreQ is a futuristic storage system that works by encoding classical data into quantum circuits. | ['Rohan Gautam'] | [] | ['css', 'html5', 'javascript', 'python', 'qiskit', 'quantum'] | 35 |
9,987 | https://devpost.com/software/parteatime-c6xuo7 | Our Front Page!
Our Boba Feed!
Our Welcome Page!
ParTeaTime is a social network that lets you share your experiences with tea anytime, anywhere! Built with React, Bootstrap, Express, and MongoDB at the Hack at Home Hackathon.
Inspiration
We were inspired to make this app because we missed boba tea. Boba tea is not just a drink it is an experience. For those of you who do not know boba tea is Taiwanese tea-based drink, that has many different flavors. Typically there are tapioca pearls or lichee jelly in the tea. Getting boba was was time to enjoy the comfort of a warm drink or to be energized by a cold drink. We would get boba tea or just tea in groups, enjoying each other's company or alone and savor the taste. We missed not only the tea but the Tea Shop experience. People watching, comparing drinks, and hanging with friends. Our inspiration for this hack was to bring a little part of the boba tea experience to those at home. We know these are difficult times, but we hoped to be able to distract or bring comfort to someone who needs it.
What it does
This project brings the ParTea to you! We allows users to upload their own pictures, titles and captions of their own tea or creations. Upload your home-made boba or tea! Post your latest creation and the recipe to go alongside with it! We have a fun BobaQuiz that categorizes users into their favorite tea flavor. Our navigation bar allows users to easily go through pages, and our Feed shows them what other users have shared! Consider this a wholesome social media, perfect for tea lovers everywhere!
How I built it
We used react.js for frontend and MongoDB, express, and node js for the back end. We deployed the backend to Google App Engine and the frontend to Firebase Hosting. The basic structure of the app is that it first uploads pictures to google cloud storage and returns the global link and then the link gets stored on MongoDB with other attributes. That way we can query posts with pictures on the frontend.
Challenges I ran into
We were having trouble uploading pictures to google cloud from the backend since there were many security measures imposed by google cloud service but eventually we got it to post. Using MongoDB as a database was challenging because it was something none of us had done before. Some of our members are very new to coding and so learning and employing new languages was challenging!
Accomplishments that I'm proud of
We are proud of our project! We are proud that we were able to overcome our challenges. We are proud that we were able to use git to collaborate on this virtual hackathon! We are proud of the new things we learned and we're able to apply.
What I learned
One of our team members learned a ton about MongoDB specifically the way it works with node.js and found building Schema was quite engaging. Another member learned React.js and how to apply it to front end.
What's next for ParTeaTime
We will continue to use ParTeaTime as our own personal friend group social media. We will expand it with new features to make it even more fun for all of us!
Built With
google-cloud
html5
javascript
mongodb
npm
react
yarn
Try it out
github.com | ParTeaTime | Get the Tea House Experience right at home! | ['Kevin Tam', 'Carol Pignato', 'Rohma Khan', 'siam132 Rahman'] | [] | ['google-cloud', 'html5', 'javascript', 'mongodb', 'npm', 'react', 'yarn'] | 36 |
9,987 | https://devpost.com/software/damp-sky-course-schedule-viewer | Usage Example
Inspiration
It is time to register for summer courses in colleges, and many schools provide web apps for their students to easily search & enroll. The idea is to clone the functionality of those web apps from schools but with custom set of courses (curriculum).
What it does
This web application shows the permutation of course schedules given
List of all available courses and their time slots (in JSON format)
List of desired course names (in semicolon separated format)
How I built it
This project is a single page application without any server-client communication. The algorithm to parse user-input and calculate permutations all resides on the front-end.
Express.js only serves static files (HTML & CSS) and javascript files compiled by webpack and typescript.
Result rendering is done in vanilla.js + HTML + CSS. A simple css grid-layout for each time-table.
Challenges I ran into
Donghyeon Kim: Writing styles for the generated time-tables took a long time.
Taehyeon Kim: It was my first time using typescript and its tools.
Accomplishments that I'm proud of
The permutation function and all other data structure manipulating functions are unit-tested fairly well. The team is proud about how we could build well-tested code-base in a very short period of time.
What I learned
Donghyeon Kim: I learned about css-grid-layout and how to use it.
Taehyeon Kim: I learned how to use typescript programming language and its compiler.
What's next for Damp Sky Course Schedule Viewer
The course schedule managers that inspired my team had more advanced functionality like sorting schedules in different priorities (e.g. morning class preference, most time off campus, most days off campus, etc.). It would be fun to implement such functionality in this project in the future.
Built With
express.js
node.js
typescript
webpack
Try it out
damp-sky-9374.herokuapp.com
github.com | Damp Sky Course Schedule Viewer | Explore all avaialbe options for your course schedule next semester. | ['Donghyeon Kim', 'Taehyeon Kim'] | [] | ['express.js', 'node.js', 'typescript', 'webpack'] | 37 |
9,987 | https://devpost.com/software/childhood_revived | Childhood_Revived
Add motion control to your favorite childhood games
Motivation
Past couple of weeks under quarantine have been tiring. All physical activities have been greatly reduced (at least for me) so to motivate myself to get at least some form of exercise, I decided to add motion control to some of my childhood favorite games so I could control them by moving my body around instead of using a mouse and keyboard.
What Did I Do and What Did I Use?
I used Adafruit's CircuitPlayground board to get accelerometer reading in X, Y and Z axis. Then, based on the readings, the board acted as a HID device simulating mouse clicks and keyboard keys.
Final Thoughts?
This was a project I had so much fun working on. I got to learn how to simulate mouse and keyboard, I learnt how to understand and map accelerometer data and most importantly, I can now spend the rest of my quarantine playing games while staying healthy.
Built With
circuitplayground
mu
python
Try it out
github.com | Childhood_Revived | Add motion control to your favorite childhood games | ['Jatin Dehmiwal'] | [] | ['circuitplayground', 'mu', 'python'] | 38 |
9,987 | https://devpost.com/software/likehome-nge6fb | Google Maps
Inspiration
we build a platform to help people with their emergency shelter needs. | HomeShelter | A platform which helps people to find emergency shelters. | ['Sulbha Aggarwal', 'Rupakshi Aggarwal', 'Sanchit Gupta'] | [] | [] | 39 |
9,987 | https://devpost.com/software/karaoke-jam-3k05ew | What the user will initially see when arriving at the website.
The mic icon will turn red indicating to the user that it is recording, along with a change in placeholder text.
Inspiration
During this pandemic, our group sought a way to keep ourselves entertained in a creative manner. We missed being together with our group of friends and doing activities. This led us to the creation of Karaoke Jam. With our combined love for rap/hip hop music and Karaoke, we created a website that achieves this end goal.
What it does
Our website has an audio player that has a pre-set beat for a person to use. The user is then able to rap their own lyrics in the provided text boxes that will transliterate the user's speech.
How we built it
Karaoke Jam was built using JavaScript, jQuery, HTML, CSS, and bootstrap. The Web Speech API was used to transliterate the user's speech.
Challenges we ran into
Being able to match text from the API with each respective textbox and mic
Accomplishments that we're proud of
Karaoke Jam being the first hackathon project that all of us in the group have worked on.
Having a finished MVP
What we learned
Learning how to collaborate on a project
Learning soft skills and communication skills in a team setting
Learning how to implement an API
First time using jQuery
What's next for Karaoke Jam
In the future, we would like to add a feature where the user may be able to record the audio of them rapping. This will include the recording of the user rapping and the beat playing in the background that will be downloadable in an audio file.
Built With
bootstrap
css
html
javascript
jquery
webspeechapi
Try it out
github.com
mir7160.github.io | Karaoke Jam | A place where you can rap your best lines with a beat in the background using a speech to text engine. | ['Iftikhar Tapadar', 'Mir Farid', 'Tareq Mia'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'jquery', 'webspeechapi'] | 40 |
9,987 | https://devpost.com/software/anitrack-cizoup | Inspiration
What inspired me to create this was the lack of platforms that let me easily record what anime, manga or webtoon I read/watched.
What it does
It is an easy way to record your progress on an anime, manga or webtoon.
How I built it
I used python to create the back end and qt designer, with pyqt5, to create the gui for it. I mainly focused on getting the user to be able to clearly distinguish between the different entertainment.
Challenges I ran into
I wanted to use firebase to act as a cloud database for users to store the data in, instead of storing it locally. However, firebase mainly used java for apps and the libraries I tried had errors with installations.
Accomplishments that I'm proud of
I learned how to make better gui with qt designer.
What I learned
I learned how to make better gui with qt designer.
What's next for AniTrack
Built With
python
Try it out
github.com | AniTrack | A easy way to track the anime, manga or webtoon you are watching/reading during the lock down. | ['Marcus Tuen Muk'] | [] | ['python'] | 41 |
9,987 | https://devpost.com/software/virtual-health-checkup-modelling-of-coronavirus-technoband | Technoband
Software Modelling of Future conditions of CoronaVirus
Inspiration
Daily surge in cases, health conditions of citizens pushed me to work hard
What it does
It predicts the curve of future conditions of any country w.r.t. data set available
How I built it
I built it through software, that have been mentioned.
Challenges I ran into
Lots of challenges, but overcomes and got the results as expected
Accomplishments that I'm proud of
That I did something, which satisfies and help at least one citizen, then the chain will follow up.
What I learned
I learned new softwares, skills
What's next for Virtual Health Checkup|Modelling of CoronaVirus|Technoband
If got success, wanna make it open source.
Built With
arduino
c++
embedded
matlab
python
webex | Virtual Health Checkup|Modelling of CoronaVirus|Technoband | Future prediction with Virtual checkup online and Smart electronic band | ['Shreyansh Pagaria', 'Maor Mashiaxch'] | [] | ['arduino', 'c++', 'embedded', 'matlab', 'python', 'webex'] | 42 |
9,987 | https://devpost.com/software/facial-expressions-recognition-using-web-camera | Training Data Set of Faces
facial Expressions Recognition 1
Facial Expressions Recognitions 2
facial Expressions Recognition 3
Facial Expressions Recognition 4
Inspiration
Human gesture is the thing which plays a very interesting role in general life application. It can be easily recognize using image processing. Let us consider an example of driver’s gesture who is currently driving the vehicle and it will be quiet useful in case of alerting him when he is in sleepy mood. We can identify the human gesture by observing the movements of eyes, nose, brows, cheeks which may vary with time. The proposed system is introduced for recognizing the expressions by focusing on human face. There were two implementation the approach is based on that is face detection classifier and finding and matching of simple token.
What it does
Performance of employees’ working in MNCs can be monitored using the proposed system. The system will let the Company’s HR to monitor the particular employee’s mood and on that basis able to decides its performance. The proposed system can be very useful in generating pie charts, bar graph, etc upon employee analysis result. Mood will obviously affect the work in positive as well as negative manner and changes in work can be specified with the help of employee analysis result. Using the proposed system the user and admin system for control can also be developed.
Our application will not only detect the users’ mood but also provide the relevant data from database for boosting the mood of user. For example, the system will automatically fetch the songs or jokes from database and send it on the users’ window terminal if user is in sad mood. And also system will able to provide some links to web pages of motivational speech. The data provide by system will boost the mood which make the user to work efficiently and leads to enhancement in performance.
How we built it
Challenges we ran into
The human face plays a prodigious role in the automatic recognition of emotions in the field of human emotion identification and human-computer interaction for real applications such as driver status monitoring, personalized learning, health monitoring, etc. . However, they are not considered dynamic characteristics independent of the subject, so they are not robust enough for the task of recognizing real life with the variation of the subject (human face), the movement of the head and the change of illumination. In this article, we tried to design an automated framework for detecting emotions using facial expression. For human-computer interaction, facial expression is a platform for non-verbal communication. Emotions are actually changing events that are evoked as a result of the driving force. Thus, in the application of real life.
Accomplishments that we're proud of
What we learned
In the field of image processing, it is very interesting to recognize the human gesture for the applications of life in general. For example, it is very useful to observe the gesture of a driver when the person is driving and warning the person when he is sleepy. We can identify human gestures by observing the different movements of eyes, mouth, nose and hands. In this proposed system focuses on the human face to recognize the expression. Many techniques are available to recognize the face. This system presents a simple architecture for recognizing human facial expression. The approach is based on a classifier for detecting faces and searching and matching simple symbols. This approach can be very easily adapted to the system in real time. The system briefly describes the image capture patterns from the webcam, face detection, image processing to recognize gestures and some results,In the field of image processing, it is very interesting to recognize the human gesture for the applications of life in general. For example, it is very useful to observe the gesture of a driver when the person is driving and warning the person when he is sleepy. We can identify human gestures by observing the different movements of eyes, mouth, nose and hands. In this proposed system focuses on the human face to recognize the expression. Many techniques are available to recognize the face. This system presents a simple architecture for recognizing human facial expression. The approach is based on a classifier for detecting faces and searching and matching simple symbols. This approach can be very easily adapted to the system in real time. The system briefly describes the image capture patterns from the webcam, face detection, image processing to recognize gestures and some results.
What's next for Facial Expressions Recognition Using Web Camera
There is one more approach we have adapted i.e. chatbot which is built using artificial intelligence. Using chatting application system let the user to chat with bot and this leads to identifying the users’ mood on the basis of text or speech using text processing. Considering the both approaches the system will be able to provide jokes, songs and links to webpages by recognizing the users’ response. .
Built With
keras
matplotlib
numpy
opencv
pandas
python
tensorflow
Try it out
colab.research.google.com | Facial Expressions Recognition Using Web Camera | Data Mining Through Facial Expressions | ['prachi patel'] | [] | ['keras', 'matplotlib', 'numpy', 'opencv', 'pandas', 'python', 'tensorflow'] | 43 |
9,987 | https://devpost.com/software/inquirehospital | Main Menu Page
Doctor Section
Add Doctor Section
Doctor Added
Patient Section
Add Patient
Patient Added
Medicine Section
Add Medicine
Medicine Added
Laboratory Section
Add Laboratory
Laboratory Added
Facility Section
Add Facility
Facility Added
Staff Section - Nurses List
Example of deleting an entry entering the ID
Staff Section - Security List
Inspiration
Actually this is our first hackathon and we decided to hack for those people who are currently not affected by Covid, We know the affected numbers are large, but the people which are not affected is in majority and taking care of them is also necessary. We all are in Quarantine for now, and in this scenario we can't go outside. So if in case any non-affected person is feeling sick or having any trouble with any disease or is facing some health issues (all apart from covid) they gets confused and below questions comes into their mind:
Where to go?
Will the hospital be able to treat me?
Will the hospital have the specialist I require?
Will the hospital have medicine which I need?
Does the hospital have proper facility?
Does the hospital have required laboratories?
So, helping those who are at home and are non-affected was our main inspiration because many-a-times there comes a news that due to lack of awareness non-affected people goes in a hospital where the Covid patients are there, and due to this they also get affected, so in-spite of breaking the chain, it spreads more!
What it does
What it does is really great to know. It helps answer all the above questions which a non-affected person may have. It lists down following information:
Available Doctors details
Non-Affected Patients details
Types of medicines hospital have
List of Laboratories
Facilities provided by hospital
Staff working in hospital
All the above information makes it easier for a non-affected person to decide that whether he can visit the hospital or not. It also helps the person know that where the doctor can be found, what type of health issues other patients have. Knowing list of medicines really helps when person is visiting hospital just to buy them and not for any treatment, so person can be sure before going.
How we built it
We wrote the entire code in Java. Then we also made a database using SQLite database. After completing everything with base code and database, we started making the UI and for that we used JavaFX. We also added buttons, text fields and labels. We did major formatting after every completion of stage and also solved many runtime errors.
Challenges we ran into
It was a great challenge for us, as we lost most of the time in thinking what we would do, we also registered for the hackathon on the last day. After knowing what we are gonna do, we again took time to answer how would we do it. Then we finally started doing this, initially everything was working fine, but later on we were not satisfied with the output which we were getting, so we again started it from scratch. This really increased our heart beats.
Many of the functionalities which we added in our hack was new for us. So, we need to search across various sites to know more about it and we were not having that much time, still by distributing the work efficiently we tried our best.
After few hours we realized that lines of code has increased from where we started, so finding small errors were again a challenge for us.
Not only this, one of our team mate was not having electricity and therefore wi-fi for almost 1hr that too when last few hours were left, this was a nail biting situation for all of us. Rest we tried our best to take up these challenges and avoided it affecting us.
Accomplishments that we're proud of
As far this is our first hackathon, we are really proud of ourselves that we wrote such a long piece of code overnight, we learned a lot of new things which we don't think would be possible if we would have just lost our hope thinking that we don't know.
This was our first time working with Java Databases. We successfully completed the UI and fixed many compile time errors as well as run-time errors.
In such a less time, we did a lot of things altogether, writing code, surfing things, learning new tech, taking part in workshops, skipped the sleeps, made ourselves proud and many more untold stuffs.
What we learned
We learned a lot and it was great altogether. As a beginner to hackathon we not only learnt how to build our hacks but also learned how to manage our time and cope up with schedules.
Working on a big hack idea we got to know stuffs which we were not knowing already. We got to know more about Java, JavaFX, JDBC Drivers, Java-Database connections & SQLLite. We also learned how to make UI using JavaFx and how to use various buttons, text fields, labels and connecting them with database.
What's next for InquireHospital
We are not stopping here, in such a less time we did a lot and we are sure in coming days we would do great. We are going to add more functionality to it such as below:
Adding other hospitals as well
Creating a larger Database
Developing the UI
Adding Covid patients details as well
Collaborate with others
Do deep research.
Involve hospitals and doctors for better outcome
Make iOS & Android application for users
Publish the app on Play Store/App Store
Help the citizens of the world
This was the story with our hack, it was indeed a great experience!
Thanks for the opportunity.
Stay Safe!
Built With
database
fx
java
jdbcdriver
sqlite
Try it out
github.com | InquireHospital | Don't get confused, Know it now. | ['Siddharth Dayalwal', 'Siddhid Gopujkar', 'Atharva Dongre'] | [] | ['database', 'fx', 'java', 'jdbcdriver', 'sqlite'] | 44 |
9,987 | https://devpost.com/software/quarantin-d-5hlk6b | Splash Screen
FAQ screen
AgoraIO Join Call
Video Calling
Info Screen
Inspiration
Sitting at home during this pandemic, I thought it would be handy to have a single source of information about whats going on along with communication with family and friends, most of whom cannot be seen in person right now.
What it does
Quarantin'd is a mobile app, made with react-native, designed with the Android operating system in mind. It has statistics about the pandemic, both global and country-wise, has answers to many frequently answered questions from credible sources (that are quoted), because misinformation becomes all the more rampant during times of crisis. It also has a feature where you can join a video call with your friends, all without the need of creating an account!
How I built it
React-Native:
This is the framework used to create mobile apps using React. I was already familiar with React, so I thought I would it to get work done faster.
Agora-SDK:
I learnt about AgoraIO in one of my previous hackathons, and thought I would use their technology to implement video calling as I was not a complete stranger to it.
thevirustracker API:
To get real-time data about the pandemic
and some good ol' CSS3 styling to get it all looking nice and pretty
Challenges I ran into
The infamous react-native version mismatch, that pops up for no apparent reason, and randomly ends up breaking the video calling feature
Accomplishments that I'm proud of
Building the mobile app as this was my first step into mobile app development, and things went more smoothly than I thought
What I learned
Got very well acquainted with the CSS flexbox layout
Learnt how to set up an Android virtual device
Learnt about mobile app development and the React-Native framework
What's next for Quarantin'd
Fixing current issues with video calling.
Making the UI better and adding animations.
Compiling more FAQ's from multiple sources.
Add a groupchat feature
More details about the pandemic (eg: city-wise breakdown, doubling rate, etc)
Built With
agora.io
axios
css3
javascript
react-native
react-navigation
Try it out
github.com | Quarantin'd | Quarantin'd: A Covid-19 Quarantine starter kit | ['Shreyan Mohanty'] | [] | ['agora.io', 'axios', 'css3', 'javascript', 'react-native', 'react-navigation'] | 45 |
9,987 | https://devpost.com/software/desert-shooter-sit83d | Inspiration
So how high are these expectations? IDC predicts that the virtual and augmented reality market will dramatically expand from just over $9 billion last year to $215 billion by 2021. That incredible 118% compound annual growth rate would make VR one of the fastest-growing industries on the planet. As we find ourselves almost halfway through the year, questions still remain about VR and the video gaming industry. Although 2017 didn’t live up to the predictions, VR gaming has learned a lot and come quite a way since it began back in 2014. As brands continue to test and experiment within the VR realm, the arms race will continue to create the best product and experience for consumers.
Thre are many advantages if VR gaming --2.
1.Little/no risk
2.Safe controlled area
3.Realistic scenarios
4.can be done remotely saving time and money
5.Improves retention and recallSimplifies complex problems/situations
6.Suitable for different learning styles
7.Innovative and enjoyable
What it does
Desert shooter is a multiplayer virtual reality game that allows users to play against the computer or their families or both! you can use it on iOS, Android.
How I built it
It is built on Unity3D, on top of Photon PUN and GoogleVR SDK, Echoar. As every multiplayer game requires authentication and sign-ins I integrated with Google Firebase. All the assets are stored in echoar cloud.
Challenges I ran into
Integrating echoar and unity, the development of virtual reality game and networking. As I had to run the game on my phone to record the gameplay the output video on youtube is a bit blurry.
Accomplishments that I'm proud of
This is my second cloud-based game, which reduced the size of the application enormously. from Scratch. I developed a few of the UI elements and game assets. I feel the User-Interface of the app and the effects are pretty cool.
What I learned
VR development is real FUN!! and there are a lot of API and SDK that unity supports, development of cloud-based applications. Personally I feel echoar unity SDK helped us a lot, as the assets don't need to be there in the scenes rather show up on calling through the key.
What's next for Desert-Shooter
I want this game to be a cross-platform game and hence our next step would be to make the web version of it, plan on releasing it to production so that users can have an immersive experience of modern gaming techniques.
Built With
c#
firebase
googlevr
unity
Try it out
github.com | Desert-Shooter | A cloud based FPS in Virtual Reality | [] | [] | ['c#', 'firebase', 'googlevr', 'unity'] | 46 |
9,987 | https://devpost.com/software/empowered-to-empower | Website
Inspiration
I have been hosting AI sessions every Tuesday evening and wanted to find a fun way to invite friends for the events.
What it does
I built an AR filter for our AITuesday Event.
How I built it
Built a website using HTML/CSS for our homepage, named empoweredtoempower.tech as we are a group of students tasked to empower others to do more. Additionally, added an AR filter for an event.
Challenges I ran into
It's my first time using AR, so impostor syndrome has been pretty strong. My internet has been also slow.
Accomplishments that I'm proud of
I've made a filter, though not perfect, but a filter nonetheless.
What I learned
Making a filter.
What's next for Empowered to Empower
Share with my friends and make a improvements and add more filters.
Built With
css
html
Try it out
inncreator.github.io
github.com
empoweredtoempower.tech | Empowered to Empower | We are empowered to empower others | ['Bethany Jepchumba'] | [] | ['css', 'html'] | 47 |
9,987 | https://devpost.com/software/asha-hgt9kb | NA
Built With
adobe-illustrator
firebase
flutter
google-web-speech-api
ibm-watson | Asha | Our application enables you to connect with a psychologist to seek mental support. We aim to remove the stigma behind mental health. "Mental illness" is real and it's okay to seek mental support. | ['Shashwat Agarwal'] | [] | ['adobe-illustrator', 'firebase', 'flutter', 'google-web-speech-api', 'ibm-watson'] | 48 |
9,987 | https://devpost.com/software/hm-burger-website-design | Logo
Main Home screen
Our Story Page
Menu Section
Gallary
Reviews section
HM Burger is simply a restaurant website with sleek UI and interactions. I have built it up to sharpen my design skills during this Covid19 pandemic lockdown.
What I learned
Mostly made use of
flexbox
and improved my skills in that
learned bootstrap, AOS, animate.css to make the transitions look amazing.
Made it completely responsive so it also looks amazing in smaller devices
Built With
animate.cc
aos
bootstrap
css
html
javascript
Try it out
harshmauny.github.io
github.com | HM Burger Website Design | sleek restaurant website design | ['Harsh Mauny'] | ['Most Attractive Website'] | ['animate.cc', 'aos', 'bootstrap', 'css', 'html', 'javascript'] | 49 |
9,987 | https://devpost.com/software/text-encryption-and-dencryption-whag9c | Homepage of website
Encryption Page with input message and receivers email.
Email received which the encoded string in binary format.
Decryption of message using the binary encoded string received by user.
Inspiration
In today's world when Messaging is used as a mode of communication, Its really necessary that our message is secured and only the person who is sending the message and the person who is receiving the message can only read the message. So to come up we have created the project of Text Encryption and Decryption to protect the message using encryption.
What it does
The Sender who wants to send the message has to open the encrypt tab of our website and writes his/her message correctly with the user email address which generated a request which is send to servlet. The servlet has the algorithm which we have written for huffman encoding and converts the message to binary format and also sends a email of the binary encoded string to the receiver. After the reciever recieves the email he has to copy and paste the binary string to the decrypt text tab and click on get message to read the message that is send by the user. Only those who have access to the website can decode the message and it cannot be read by any machine or human other than our website.
How we built it
For building the Frontend we have used Bootstrap and SCSS. While for the Backend we have used the Java Servlet which is a java library that supports web frameworks. For encryption and decryption of the message we have used Huffman Algorithm but while implementing we saw that this algorithm only encrypts the letters and not the complete sentence and also the spaces are not counted so we have customized the algorithm and now it uses the dataset to encrypt the message.
Challenges we ran into
As previously mentioned that Huffman algorithm is designed to encode the letters only and return the binary format of those encoded letters,
example :- for a input "aabba" it returns "a:001" , "b:1001" , "c:1010"
.
We have used our four to five hours to solve the problem so that it encrypt the complete sentence and finally after continuous efforts we are able to encode the complete message and append a string for the encoded letters binary format. Again we faced an issue that the algorithm not accepting the white spaces and to overcome this we have used " | " operator for the white spaces.
Accomplishments that we're proud of
In the course of this Hackathon, We managed to code and implement sucessfully some languages - Java and Javascript with HTML and CSS. We used the data structures like Heap, Hashmap to store the datasets and successfully map the key value pairs. We were able to successfully implement and get the positive results in all these languages.
What we learned
We learned new methods of coding and some of the data structures like heap and hashmap. We also get a clear idea of how the java can be used with other languages like javascript and html. We have learned how to setup Glassfish server in Netbeans IDE.
What's next for Text Encryption and Dencryption
We hope to perfect our code so that it could be used in real life implementation for sending the message securely. And use some of the well known alogrithms like RSA in future.
Built With
bootstrap
css3
html5
huffman-algorithm
java
javascript
scss
servlet
Try it out
github.com | Text Encryption and Decryption | Message Security : Encrypt the message and send the message to receiver without allowing the middleman to read your message. | ['Lakshy Gupta', 'Dhwaj Gupta'] | [] | ['bootstrap', 'css3', 'html5', 'huffman-algorithm', 'java', 'javascript', 'scss', 'servlet'] | 50 |
9,987 | https://devpost.com/software/emoji-finder-2qxgcn | Full Emoji List also support click emoji to copy it
Search Feature
Emoji-Finder
Simple React App To Find Emoji's
To View This Project Go To:-
https://kamal-walia.github.io/Emoji-Finder
Built With
css
html
javascript
react
Try it out
github.com | Emoji-Finder | Simple React App To Find Emoji's | ['Kamal Walia'] | [] | ['css', 'html', 'javascript', 'react'] | 51 |
9,987 | https://devpost.com/software/eye-tracking-in-sparkar | Inspiration
I got inspired for the idea from
Marvel movies
and in specific Iron Man that how he projects the screen into his eye and E.D.I.T.H of course.
What it does
It is an Instagram FIlter, When the user taps on the screen it tracks the left eye and projects a 3D-model over it.
How I built it
I build it using SparkAR and Patch editor in the SparkAR Player and also by viewing several online videos and content as to how to achieve it.
Challenges I ran into
The most challenging stuff I thought was to model the whole 3D structure and to position it to make sure it looks amazing.
Accomplishments that I'm proud of
I learned more about SparkAR in this journey and learned to use Blender which is one of the biggest accomplishments I am proud of.
What I learned
I learned to model on Blender and its shaders and modifiers.
What's next for Eye-Tracking in SparkAR
I am now trying to add more vivid features like putting some kind of information on the eye like COVID tracking on the eye so that the user can use the filter to see the current updates regarding the COVID-19 in different parts of the country.
Built With
blender
sparkar | Eye-Tracking in SparkAR | I have created an Instagram Filter where as soon as the user tap the screen, the camera will detect face left eye and project a 3D-model over the eye giving a amazing feel to the user. | ['Ekansh Mittal'] | [] | ['blender', 'sparkar'] | 52 |
9,987 | https://devpost.com/software/deep-learning-drone-delivery-system | Results of our CNN-LSTM
Accuracy after training our model on 25 epochs
MSE of our CNN-LSTM
How we preprocessed data for our model
Data preprocessing
Picture of Drone
Inspiration:
The COVID-19 pandemic has caused mass panic and is leaving everyone paranoid. In a time like this, simply leaving the house leads to a high risk of contracting a fatal disease. Survival at home is also not easy: buying groceries is frightening and online ordered necessities take ages to arrive. The current delivery system still requires a ton of human contact and is not 100% virus free. All of these issues are causing a ton of paranoia regarding how people are going to keep their necessity supply stable. We wanted to find a solution that garners both efficiency and safety. Because of this, drones came into the picture(especially since one of our group members already had a drone with a camera). Drone delivery is not only efficient and safe, but also eco friendly and can reduce traffic congestion. Although there are already existing drone delivery companies, current drone navigation systems are neither robust or adaptable due to their heavy dependence on external sensors such as depth or infrared. Because of this, we wanted to create a completely autonomous and robust drone delivery system with image navigation that can easily be used in the market without supervision. In a dire time like now, a project like this could be monumentally applied to bring social wellbeing on a grand scale.
What it does:
Our project contains two parts. The first part is a deep learning algorithm that allows the drone to navigate images taken with a camera which is a novel and robust navigation technique that has never been implemented before. The second portion is actually implementing this algorithm into a delivery system with firebase and a ios ecommerce application.
Using deep learning and computer vision, we were able to train a drone to navigate by itself in crowded city streets. Our model has extremely high accuracy and can safely detect and allow the drone to navigate around any obstacles in the drone’s surroundings. We were also able to create an app that compliments the drone. The drone is integrated into this app through firebase and is the medium in which deliveries are made. The app essentially serves as an ecommerce platform that allows companies to post their different products for sale; meanwhile, customers are able to purchase these products and the experience is similar to that of shopping in actual stores. In addition, the users of the app can track the drone’s gps location of their deliveries.
How I built it:
To implement autonomous flight and allow drones to deliver packages to people swiftly, we took a machine learning approach and created a set of novel math formulas and deep learning models that focused on imitating two key aspects of driving: speed and steering. For our steering model, we first used gaussian blurring, filtering, and kernel-based edge detection techniques to preprocess the images we obtain from the drone's built-in camera. We then coded a CNN-LSTM model to predict both the steering angle of the drone. The model uses a convolutional neural network as a dimensionality reduction algorithm to output a feature vector representative of the camera image, which is then fed into a long short-term memory model. The LSTM model learns time-sensitive data (i.e. video feed) to account for spatial and temporal changes, such as that of cars and walking pedestrians. Due to the nature of predicted angles (i.e. wraparound), our LSTM outputs sine and cosine values, which we use to derive our angle to steer. As for the speed model, since we cannot perform depth perception to find the exact distances obstacles are from our drone with only one camera, we used an object detection algorithm to draw bounding boxes around all possible obstacles in an image. Then, using our novel math formulas, we define a two-dimensional probability map to map each pixel from a bounding box to a probability of collision and use Fubini's theorem to integrate and sum over the boxes. The final output is the probability of collision, which we can robustly predict in a completely unsupervised fashion.
We built the app using an Xcode engine with the language swift. Much of our app is built off of creating a Table View, and customized cell with proper constraints to display an appropriate ordering of listings. A large part of our app was created with the Firebase Database and Storage, which acts as a remote server where we stored our data. The Firebase authentication also allowed us to enable customers and companies to create their own personal accounts. For order tracking in the app, we were able to transfer the drone’s location to the firebase and ultimately display it's coordinates on the app using a python script.
Challenges:
The major challenge we faced is runtime. After compiling and running all our models and scripts, we had a runtime of roughly 120 seconds. Obviously, a runtime this long would not allow our program to be applicable in real life. Before we used the MobileNet CNN in our speed model, we started off with another object detection CNN called YOLOv3. We sourced most of the runtime to YOLOv3’s image labeling method, which sacrificed runtime in order to increase the accuracy of predicting and labeling exactly what an object was. However, this level of accuracy was not needed for our project, for example crashing into a tree or a car results in the same thing: failure. YOLOv3 also required a non-maximal suppression algorithm which ran in O(n^3). After switching to MobileNet and performing many math optimizations in our speed and steering models, we were able to get the runtime down to 0.29 seconds as a lower bound and 1.03 as an upper bound. The average runtime was 0.66 seconds and the standard deviation was 0.18 based on 150 trials. This meant that we increased our efficiency by more than 160 times.
Accomplishments:
We are proud of creating a working, intelligent system to solve a huge problem the world is facing. Although the system definitely has its limitations, it has proven to be adaptable and relatively robust, which is a huge accomplishment given the limitations of our dataset and computational capabilities. We are also proud of our probability of collision model because we were able to create a relatively robust, adaptable model with no training data.
We were also proud how we were able to create an app that compliments the drone. We were able to create a user-friendly app that is practical, efficient and visually pleasing for both customers and companies. We were also extremely proud of the overall integration of our drone with firebase. It is amazing how we were able to completely connect our drone with a full functioning app and have a project that could as of now, instantly be implemented in the marketplace.
What I learned:
Doing this project was one of the most fun and knowledgeable experiences that we have ever done. Before starting, we did not have much experience with connecting hardware to software. We never imagined it to be that hard just to upload our program onto a drone, but despite all the failed attempts and challenges we faced, we were able to successfully do it. We learned and grasped the basics of integrating software with hardware, and also the difficulty behind it. In addition, through this project, we also gained a lot more experience working with CNN’s. We learnt how different preprocessing, normalization, and post processing methods affect the robustness and complexity of our model. We also learnt to care about time complexity, as it made a huge difference in our project.
Whats Next:
A self-flying drone is applicable in nearly an unlimited amount of applications. We propose to use our drones, in addition to autonomous delivery systems, for conservation, data gathering, natural disaster relief, and emergency medical assistance. For conservation, our drone could be implemented to gather data on animals by tracking them in their habitat without human interference. As for natural disaster relief, drones could scout and take risks that volunteers are unable to, due to debris and unstable infrastructure. We hope that our drone navigation program will be useful for many future applications.
We believe that there are still a few things that we can do to further improve upon our project. To further decrease runtime, we believe using GPU acceleration or a better computer will allow the program to run even faster. This then would allow the drone to fly faster, increasing its usefulness. In addition, training the model on a larger and more varied dataset would improve the drone’s flying and adaptability, making it applicable in more situations. With our current program, if you want the drone to work in another environment all you need to do is just find a dataset for that environment.
As for the app, other than polishing it and making a script that tells the drone to fly back, we think our delivery system is ready to go and can be given to companies for their usage with customers. Companies would have to purchase their own drones and upload our algorithm but other than that, the process is extremely easy and practical.
Built With
drone
firebase
keras
opencv
python
swift
tensorflow
xcode
Try it out
github.com | Autonomous Drone Delivery System | An autonomous drone delivery system to provide efficient and virus-free deliveries. | ['Allen Ye', 'Gavin Wong', 'Michael Peng'] | ['Best COVID-19 Hack', '2nd Place Hack'] | ['drone', 'firebase', 'keras', 'opencv', 'python', 'swift', 'tensorflow', 'xcode'] | 53 |
9,987 | https://devpost.com/software/easy-track-online | Overview
Web Address:
http://trackyourfinances.online
or
https://myfinancesapp.herokuapp.com/
NOTE: trackyourfinances.online is my submission for the best domain registered with Domain.com
Inspiration
With the current COVID-19 situation going on, many people are under unfortunate circumstances where they may not have the same income as they had before. Many people are in a situation where they need a simple, yet powerful, solution that allows them to keep track of their personal finances and understand their financial health.
That's why I created this web application, which will help people to better track their finances during this pandemic.
What it does
This app has a
fully-featured user authentication system
, where all user accounts are
anonymous
, thus
ensuring their privacy
.
Users may
add, update, and delete monthly expenses
as they come in, which are subtracted from their total income.
Moreover, users have a module set up to allow them to
set and track the progress of their financial goals
. This allows them to see their own progress, and help them strive to improve their financial health.
Lastly, the app calculates
what percentage of income the user has left
after expenses, and uses this figure to
track the financial health of the user
. This allows them to understand if they are doing well or if they need to evaluate their spending habits.
How I built it
For front-end I used:
*HTML
*CSS
*Bootstrap
For back-end I used:
*Flask (python)
*SQLite
Challenges I ran into
I was unable to implement the functionality for the app to automatically detect a new month, so the app currently requires to enter a new month by deleting expenses manually.
Accomplishments that I'm proud of
I'm proud of the slender design of the front-end, and the mobile responsiveness of it.
Moreover, I am proud of the potential impact this may have on those who decide to use it, as it may help them to become more financially literate.
What I learned
I gained new skills working with Flask. I have become more comfortable working with back-end and databases during this hackathon. Moreover, I believe I have been improving my front-end coding skills, and have learned several new Bootstrap classes that are useful in elegant design.
What's next for Easy Track Online
I plan on extending the functionality of it by adding auto-detection of new months, increased profile customization, and new features. The good thing about this app is all the different functions are modular, and can be easily inserted onto the home page dashboard. Therefore, extending the functionality will be very possible.
Contact Info
Jeremie Bornais
[email protected]
Discord Tag: jere_mie#9432
Best Domain Registered With Domain.com
I would like to submit the domain trackyourfinances.online for the Domain.com prize
I believe it is a clever use of the .online TLD, and very relevant to this project.
DISCLAIMER: Some of the code for forms, user registration, and the overall project configuration may be similar to projects I have done in the past.
Built With
bootstrap
css
flask
heroku
html
html5
sqlite
Try it out
myfinancesapp.herokuapp.com
trackyourfinances.online
github.com | My Financial Tracker | A simple, yet powerful way to track your finances online | ['Jeremie Bornais'] | [] | ['bootstrap', 'css', 'flask', 'heroku', 'html', 'html5', 'sqlite'] | 54 |
9,987 | https://devpost.com/software/blogspot | Logo
Home Page
Post Page - Dark Mode
Post Page - Normal Mode
Due to COVID-19, everyone is stuck at home. I thought to utilize this time to improve my skills. So, started off with improving my UI designing skills. The UI Designing is important because that is how people interact with your product to achieve their needs and goals.
BLOGS
BLOGS is similar to other blogging platforms - where you can post, share and comments.
Checkout BLOGS on Github:
https://github.com/letscodedev/blogspot
Built With
animate.css
bootstrap
css
html
javascript
jquery
Try it out
letscodedev.github.io | BLOGS | Share your ideas | ['Devarsh Panchal'] | [] | ['animate.css', 'bootstrap', 'css', 'html', 'javascript', 'jquery'] | 55 |
9,987 | https://devpost.com/software/routine-ly | Still kinda new to Figma but I think it looks OK
Home screen
Creating a task
List of tasks
Editing a task
Inspiration
Quarantine = no routine, making it harder to get things done and stay productive. Routine.ly is a simple todo-list app that encourages you to get things done!
How I built it
Designed the UI using
Figma
, then used
Flutter
to code it. Also used
Firebase
as a back-end to store and retrieve tasks.
Challenges/Accomplishments
I worked alone on this project so the time constraint was difficult to work with, so I scaled the project down to a basic CRUD app to make it manageable within the time. However, I think I did pretty well in starting a project and creating a framework for a more complex application in the future.
What I learned
Flutter. Is. Cool!
(also F i r e b a s e I guess)
What's next for routine.ly
Integration with Google Calendar to schedule times for tasks, and split up large tasks into daily sections.
Built With
firebase
flutter
Try it out
github.com | routine.ly | Task scheduling for busy people | ['Garrett Luu'] | [] | ['firebase', 'flutter'] | 56 |
9,987 | https://devpost.com/software/blockchange | Inspiration
The inspiration for Blockchange came from the large increase in usage that I've seen of the platform Change.org since the beginning of the Covid-19 crisis. Many Change.org petitions have been created to get colleges to convert to pass fail grading, large organizations to give back massive loans intended for small businesses, and much more. I realized, however, that Change.org has put itself into a place of a lot of power by centralizing all these data on the people that are completing these petitions. I had never worked with blockchain before but I began to wonder if there would be some kind of way to decentralize all of these people who were creating and completing these petitions work into a public ledger that would be easily accessible by anyone that fills them out (which is how it really ought to be). Thus, Blockchange was born.
What it does
Blockchange allows people to create petitions and sign petitions that they believe in much the same as Change.org. The way it differs is that these petitions and the people that create / sign them are stored in a blockchain. The use of blockchain over a centralized database allows for a great increase in transparency. Blockchain is ideal for voting systems like this since it has a high fault tolerance and the fact that everyone has a copy of the public ledger is ideal for a petition that people will be signing.
How I built it
I used Truffle and the Solidity programming language to interact with the Ethereum Virtual Machine. This allowed me to build the smart contracts for interacting with the blockchain. I then deployed to a personal Ethereum Blockchain using Ganache. The frontend of the application is written in React. I also used Canva / Figma for designs and for making the logo.
Challenges I ran into
I had never worked with blockchain technologies at all before this project and had only started learning about what the blockchain is, its advantages, etc. about a week prior when I got the idea for this project. This steep learning curve coupled with the 24 hour time limit made it very difficult.
Accomplishments that I'm proud of
I feel like I gained a grasp of a completely new technology and learned so much in a short amount of time. I also was solo on this project and that definitely made it hard for me to stay committed since I didn't have the encouragement and collaboration of teammates but to spite this I still managed to create something that I am proud of in the 24 hour time span.
What I learned
I learned an immense amount about blockchain, blockchain technologies, and definitely improved my time management abilities as since I was working alone the work had to be planned out carefully.
What's next for Blockchange
I would love to look deeper into how this could actually be applied further. For the purposes of this hackathon this was deployed to a personal Ethereum Blockchain using Ganache but I would love to see what steps could be taken to make this a deployed alternative to change.org.
Built With
blockchain
css3
ethereum
html5
javascript
node.js
react
solidity
truffle
Try it out
github.com | Blockchange | A decentralized implementation of Change.org | ['Dylan Skelly'] | [] | ['blockchain', 'css3', 'ethereum', 'html5', 'javascript', 'node.js', 'react', 'solidity', 'truffle'] | 57 |
9,987 | https://devpost.com/software/land-mark | Starting screen
Search for a city
Add a city
City details
City details
Add a picture and a comment
Add as many cities as you want!
Inspiration
Currently we're all stuck inside waiting for this quarantine to be over. Everyone is bored and wants to get out of their house. I believe this is a good time to look back on all the exciting moments in our lives to forget about the fact that we can't leave the house. So my app idea was to allow people to create their own map that displays all the cities they've visited in their life. Every city in the world has something special about it and everyone has a memory of all the cities they've traveled to. Creating a collection of visited cities would be a really nice way for someone to keep track of where they've been and attach a memory to it. Users can continuously add cities to their list and create a customization screen, where they can add the date they visited, a picture, and comments. The end result is a world map with a bunch of markers everywhere. Everyone's map will be different and heavily personalized. Users will come back to the app whenever they want to re-visit a memory.
What it does
Users are initially greeted with a world map, where they can easily move around and zoom in on. If they tap the "plus" button in the top right, they are able to search for a city. Once they type in a city, the map zooms in on that city and they are given the option to add it to their list. If they say yes, they are brought to a new screen for their specific city. Here they can view the exact location, add the date they visited it, add a picture, and add comments. This screen is meant for the user to customize to their liking, as it gets saved and they can always come back to it and view their memory.
The user can add as many cities as they want to their list. The app supports every single city in the world and displays all of the added cities as markers on the map. Once they populate their map, they can come back to it any time and keep adding more. They can also view it on any apple device as it backs up to iCloud.
How I built it
I built the app entirely using Xcode/Swift. The UI is built with UIKit, and the MapKit framework is used to display the map. To get the city data, I parsed a large JSON file from the internet. I also saved all user data to iCloud so that nothing gets deleted when they close the app or use a different Apple Device.
Challenges I ran into
The biggest challenge I ran into was saving all the user data so that it wouldn't get deleted when they close the app. I needed to save all the cities the user adds to their list, and then all the data associated with them. The user is able to edit this data whenever they want so that makes it even more difficult to save data efficiently. I ended up having to refactor a lot of code to get it working but in the end it was worth it. Not only does the data save to the user's device, it also saves to their iCloud account so that they can easily view their map on another apple device.
I also had problems with the search functionality. Apple's built in search returns anything it can find, from countries, to pizza shops. I only wanted it to return cities so I needed to come up with a good solution. I decided to find a city dataset and then only allow the user to search for items within that dataset. I did it in such a way that the search query still goes through Apple's API and then goes through the dataset filter I made. This meant that people could have typos in their query and it would still return the correct result. I was very satisfied with this result.
Accomplishments that I'm proud of
I am proud of the fact that the app works really well and has no bugs (that I know of). I got stuck many times trying to fix bugs or implement features and I'm glad I pushed through and managed to get everything working to my liking.
What I learned
I learned quite a bit while developing this app. I learned how to use the MapKit framework, how to parse JSON with Swift, how to save user data to iCloud, how to build a complex TableView, and how to add search functionality in apps. Overall it was an amazing experience and I feel like a much better iOS Developer now.
What's next for Land Mark
A feature that I wanted to add but didn't have time for, would be sharing capabilities. I want users to be able to share their maps full of their experiences/memories with their friends/family so that they can view it on their device. This would be a great addition to the app and would definitely be a challenge to implement. I would also like to add an On-boarding screen to inform the user what the app is all about and how to use it. I will be submitting this to the App Store very soon.
Built With
json
mapkit
swift
Try it out
github.com | Land Mark | An app for people to track all the cities they've visited and re-visit those memories any time | ['Arjun Dureja'] | [] | ['json', 'mapkit', 'swift'] | 58 |
9,987 | https://devpost.com/software/the-smart-helpline | Inspiration
To help the doctors to overcome their difficulty
What it does
It acts as a platform to bridge the doctors,police and municipality with the public
How I built it
I built my application using flutter
Challenges I ran into
Doing what I like
Accomplishments that I'm proud of
I'm often happy for what I have did
What I learned
How to develop more applications
What's next for The Smart helpline
More ways to help people as a engineer
Built With
flutter
google-web-speech-api
natural-language-processing
Try it out
docs.google.com | The Smart helpline | A helpline to help doctors to avoid continuous phone calls,but whereas providing sufficient help needed for the people | ['Theophila Vaiz R'] | [] | ['flutter', 'google-web-speech-api', 'natural-language-processing'] | 59 |
9,987 | https://devpost.com/software/community-hero | Messenger chatbot
SMS chatbot
Webapp
Delivery portal
Inspiration
When the pandemic began, it was clear that the elderly would suffer disproportionately - not only are they the age group most at risk from the virus, but they are also the likeliest to be living alone, meaning they have to do their own groceries. Of course, supermarkets have shown to be transmission vectors for the virus, making a simple essential act like picking up weekly groceries something that can lead to catching Coronavirus. And this is of course, a much more dangerous move for the elderly, since the mortality rate increases exponentially with age. One could suggest online ordering as a solution, however this age group is likelier to be tech-illiterate, and hence conventional online ordering is less likely to draw them in, due to their unfamiliarity with it combined with confusing site layouts. That is why we built CommunityHero - a truly accessible online ordering solution, tailored to keep the most vulnerable parts of our population safe.
What we do
CommunityHero provides 3 main interfaces for online ordering - firstly, a smart Messenger chatbot which provides product images, helpful tips and uses Machine Learning to help parse each customer's shopping list. Secondly, we built an SMS interface for those not on Facebook/not on the Internet, with approximately the same functionality as the Messenger chatbot. Lastly, we built a
webapp
which works like traditional online ordering sites, albeit with a simpler layout.
Messenger
SMS
All of these interfaces, each one designed to tailor to the needs of our target customer (an elderly person with little to no tech literacy), link to a
web interface showing all pending orders
. This is accessible by our “Community Heroes” - part of our volunteer delivery network. We currently plan to partner with local NGOs in every area we serve to help find a large number of Community Heroes quickly and efficiently.
Community Heroes can log in on a web interface and see all of the orders available on a map and choose which ones to order. Upon choosing an order, they can claim it, so that they can see the full order details. The system will also then send a message to the original customer saying that their order has been claimed by someone. In order to further decrease the chances of infection between the community hero and the customer, we present the “Community Hero” a set of guidelines that they need to follow to ensure the process is safe, including provisions to wear PPE.
How we built it
We use an Android phone as the SMS gateway, which receives incoming SMS messages and forwards them to the backend, built using Django and hosted on Heroku. We use NLP to search for the products requested in the products available, and choose the best combination that minimizes price and distance. The searching is done by splitting all strings into N-grams and using the Jaccard Distance. Further, based on what products are most commonly in carts, we made a product weighting system, based on how popular each item is. For example, even though Soy milk and Skimmed milk would both be results to the search 'milk', the user is more likely to want skimmed milk. This is done automatically based on the collective current shopping carts of all users. This allows for trends to remain as trends (for example, hopefully, disinfectant products will not be so common in 2-3 years)
Our chatbots are stateful - this means that the context from the previous messages is understood in order to find the state in which the conversation is. For example, the bot knows that the user is still completing his/her profile, so it understands that an incoming message containing 'Yes' is not something to search for, but rather an answer to a previous question.
The frontend communicates with the backend RESTfully.
Demo
Instructions on how to run the demo are available
here
Challenges
It was difficult to find a way to find a viable business model, since it is based on human interest for others, and volunteering, which may be difficult to promote. However, since we are in the middle of a global pandemic, it is a lot easier to get people to dedicate their time than before.
Currently, our business model relies on attaining revenue through small commissions stores will pay whenever a customer shops with them through our platform. This revenue will be used to help provide PPE (masks & gloves) and support to our Community Heroes, who we will source via local NGOs. The benefit to this approach is it allows us to scale faster than usual - NGOs are often more efficient when it comes to getting together a large number of volunteers, and we are certain that for a
A technical difficulty we had was the fact that for Facebook Messenger to accept our messages / to send us messages, it needed to be hosted over HTTPS. Therefore, it couldn't be tested locally without a domain name. Hence, every time we changed something in the code we needed to push to GitHub, and redeploy the whole backend, which took 2-3 minutes every time, no matter how small of a change we wanted to make.
Another thing that we were anxious about is the Facebook App Review. This is a process needed in order to make an app that uses the Facebook API live. However, this is a manual process that may take up to 2 weeks! We didn't expect the process to finish in time for the demo, so we also implemented a process through which anyone can send us their Facebook profile, and they would be added as testers. Fortunately, the process finished a few hours before the submission deadline, so even though it was already implemented, we don't need to use this long (and manual) process of adding testers, since our chatbot is now public.
Accomplishments
Awarded at the Greek Crowdpolicy Antivirus Hackathon amongst 50 teams!
We were able to make significant progress on the chatbot within the past 2 days.The idea was refined and revised multiple times, and we feel that the idea itself is quite unique - we certainly haven’t been able to find an equivalent alternative on the market. Even though there are a few similar ideas in the hackathon, with the same concept of crowd-delivery, we believe that our range of ordering methods adds significant value to our product.
What we learned
Make REST APIs
Use the FB Messenger API to send messages
Go through the FB verification process
Use, manage and launch WordPress WooCommerce site
Hosting on Heroku
Using NLP libraries
What's next
Partner with supermarkets
Build in navigation into deliverers web interface, make it into a cross-platform mobile app
Partner with local NGO to source first CommunityHeroes and bring product live ASAP
Who we are
We are a team of high school students from Cyprus interested in the social good and try to contribute, in whatever way we can, to as many people possible in these dire times we live
Any feedback is welcome here as a comment, or shoot us an email at
[email protected]
:)
Built With
android
bootstrap
django
facebook-messenger
heroku
java
jquery
leaflet.js
natural-language-processing
php
postgresql
python
rest
sms
woocommerce
wordpress
Try it out
github.com
communityhero.live | Community Hero | Community driven delivery service, focused on providing access to the essentials, such as groceries, to the most vulnerable sectors of the population, by accessible ordering methods | ['Christos Falas', 'Deniz Akansoy', 'Andreas Lordos'] | [] | ['android', 'bootstrap', 'django', 'facebook-messenger', 'heroku', 'java', 'jquery', 'leaflet.js', 'natural-language-processing', 'php', 'postgresql', 'python', 'rest', 'sms', 'woocommerce', 'wordpress'] | 60 |
9,987 | https://devpost.com/software/fishtank-business | Home page
profile
Add project page
landing page
website login
website dashboard/ home page
view project page
view project demo
website add project page
Inspiration
Heard of shark tank? It's essentially that, but smaller. Many of us who have attended hackathons are hoping to turn their projects into real-life startups, but this often hard without funding. We are hoping that our platform helps these students and other developers to put their projects out there for investors to see and help make these small projects a reality!
What it does
FishTank is a platform where students and other developers can post their projects online in the hope of finding investors to fund their startup. This platform can also serve as a way for people to get ideas based on other's projects.
How we built it
Our team was composed of 4 members, so we decided that two work on the website platform and 2 work on the mobile app. We used the flutter framework with google firebase (and other API's) to create the mobile app. We used JQuery, JavaScript, HTML, CSS, Firebase, and BlockStack to create our website version.
Challenges we ran into
Some challenges that we ran into were that there was no support for block stack for flutter, so we had to improvise and use another service for the mobile app. Getting to use block stack on the website was somewhat of a challenge, but we got it at the end.
Accomplishments that we're proud of
We are very proud that we were able to create a functioning mobile app and a website in this short period of time that we had to create this project.
What we learned
I have learned that creating our project on both platforms is a very hard task in a short timespan, maybe next time we will go for only one of them.
What's next for FishTank-Business
We hope to make FishTank an actual successful startup one day in the future, it would be really nice to see our creation come to life.
Built With
blockstack
css3
dart
firebase
flutter
google-firebase
html5
javascript
jquery
node.js
Try it out
fishtankbuisness.s3-website-us-west-1.amazonaws.com
github.com | FishTank-Business | Heard of shark tank? It's essentially that, but smaller. Many of us who have attended hackathons are hoping to turn their projects into real-life startups, but this often hard without funding. | ['Kushagra Singh', 'Holland Pleskac', 'Pranav Krishna', 'Shabd Veyyakula'] | [] | ['blockstack', 'css3', 'dart', 'firebase', 'flutter', 'google-firebase', 'html5', 'javascript', 'jquery', 'node.js'] | 61 |
9,987 | https://devpost.com/software/helpnow-0nf9x6 | Home Page
Volunteer Registration
Map Search
Organization Profile
Volunteer Profile
Chat
New Request
Request Page
Advanced Search
Inspiration
As a few of the many people stuck at home during this global health crisis, we were eager to look for potential ways to help as volunteers. However, of the many of the websites and mobile apps we encountered, we found it difficult to navigate and find opportunities local to us. With HelpNow, we wanted to fix both of these problems.
What it does
Organizations can make requests that volunteers can signup for
Volunteers and organizations can contact each other through a chat service
Volunteers can find local organizations on a map or through a search
How we built it
HelpNow is a website created using HTML/CSS and JavaScript backend to handle user input. Firebase was used to handle and store account, chat, and request data.
Challenges we ran into
A lot of effort was spent performing rigorous testing to identify and fix minor errors, especially those that appeared when the individual features were combined into one website.
Accomplishments that we're proud of
We are especially proud of our map feature, built using the Google Maps API, which provides a nice user interface for volunteers to find local organizations. We are also proud of our chat service, the first we have built with Firebase on the web.
What's next for HelpNow
We hope to extend the features of HelpNow by making it easier to use for organizations through automated services; for example, adding a system that helps organize and schedule signups for requests. There is also work that can be done to simplify the user interface.
Built With
css3
firebase
html5
javascript
Try it out
github.com | HelpNow | Volunteers get to help now and organizations get help now. | ['Ashwin Rajesh'] | [] | ['css3', 'firebase', 'html5', 'javascript'] | 62 |
9,987 | https://devpost.com/software/smart-intruder-detection-sytstem | As the COVID 19 has become a global pandemic due to which we face problems like:
Medical inadequacy.
Food & shelter problems for poor people.
Lack of Social distancing in crowded areas.
No direct communication to the doctors due to lockdown.
Less availability of ambulances in few areas.
Monitoring of people who were affected.
People are unaware about the location of affected people
8.Donation and NGO’s activity is not in a single Platform or an APP.
Our Solution to this:
We have bought up a solution for all the important problems said above of COVID-19 pandemic.
*Our idea solves all these difficulties discussed above with many add-ons in a single application along with a health monitoring Wrist Band.
1.Our Application gives a single Platform and meets all needs hence better than Existing solution:-
2.Communication with Doctors and Nursing graduates at Emergency situations through video and audio calls.
3.Get to know about the available Ambulances nearby through GEO Locator.
4.The people affected with covid-19 monitored by health department
5.Near by Covid Patients and self Isolated Identifier .
6.Get to know about the daily updates of Covid-19 in dashboard.
7.A Wrist band with Bluetooth connectivity is connected to this application which frequently monitors the body temperature, pulse rate, heart beat rate etc in our application
8.A Donate option is given in this application so that a person can donate money to CM or PM funds directly using trusted payment gateways.
Built With
agora
amazon-web-services
blockchain
flutter
google
google-maps | Rapid rescuer | A applicationn to communicate with the doctors and nursing graduates during this pandemic situation | ['Shameer Sha'] | [] | ['agora', 'amazon-web-services', 'blockchain', 'flutter', 'google', 'google-maps'] | 63 |
Subsets and Splits