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9,956 | https://devpost.com/software/verse-zgihkl | Inspiration
The black lives matter movement has sparked a nationwide conversation about institutionalized racism and its place in our society today. This has motivated thousands of people to find ways to learn about the situation and think about ways that they too, can give back. Because of social media, now more than ever has there been a push for individuals to grapple with their privilege and understand the existence and catastrophic impact of systemic racism. However, many times, this spark to make a difference tends to be short-lived. Black lives matter is NOT a trend.
Social media has given corporations a platform to make statements in support of movements such as black lives matter. While this is a great place to start, as many people have pointed out, these statements are not necessarily reflective of what a company actively does to combat racism. Performative activism, defined as “activism done to increase one’s social capital rather than one’s devotion to a cause”, is rampant within social media, and can be toxic, especially when no real action comes out of it. Many people are left feeling frustrated with what seems to be a lot of talk, and not a lot of walk.
What it does
Verse aims to build a sustainable solution towards productive activism that holds companies and individuals accountable for building a real change in their communities. We believe that through listening to individuals from other communities, an individual can be a better ally to making spaces more inclusive. Focusing on 3 main pillars, learn, serve, and engage, verse aims to defeat performative activism through substantive ways such that individuals do not fall into a savior complex, but rather try to walk in another community’s shoes.
In the learn page, individuals can come across a number of scholarly resources related to specific communities in order to understand the nuances amongst communities and challenges faced within them. In the serve page, individuals can find different ways to serve different communities whether its through volunteering, donating, or supporting local businesses. In order to prevent individuals from developing a toxic savior complex mentality, individuals must read a number of articles, gaining points from reading articles, in order to unlock service opportunities. This way, individuals truly understand the needs of a community without blindly going in to serve. In the engage page, individuals are able to interact directly with other people from their community by sharing their own personal experiences.
How we built it
Using wordpress to build the platform as a proof of concept, we hope to show that it is possible to hold ourselves and each other accountable so that our words are followed by real and impactful action.
What's next for Verse
In addition to partnering with corporations and having this platform be used as a part of a diversity and inclusion training module, we envision that this product can be used in universities as a tool for incoming students, and can be transitioned into a mobile app for easy access of information.
With verse, we hope that we can transition to a world where individuals are compelled to not only "talk the talk", but also, “walk the walk”.
Try it out
www.verse.umd.edu | Verse | Focusing on 3 pillars: learn, serve, and engage, Verse aims to build a sustainable solution towards productive activism that holds companies accountable for building real change in their communities. | ['Salma Ghorab', 'Advaith Bantval', 'David Boutin', 'Megha Guggari'] | ['First Place - Social Impact'] | [] | 1 |
9,956 | https://devpost.com/software/nfc-contact-tracing-a07m45 | Inspiration
Inspired by the contact tracing call center in Singapore, I believed that there should be a more effective way to trace contacts made with a positively-tested COVID-19 patient. In a video interview, they said that after a person has been tested positive, they would ask the patient where they have been and who they've met. The interview process would last as long as a day and then they would proceed to contact everyone whom they've mentioned. The problem is that the patients would often forget some of the information and the time spent on interviewing one patient is too long, risking the spread of the virus. Moreover, many people do not feel comfortable when the contact tracing app logs their location data or Bluetooth monitoring data. Therefore, I am inspired to create a solution that can tackle both challenges.
What it does
At first, my app uses Google authentication to provide a secure login. Since all UMD students (not sure for all USM students) have a Gmail account, school administrators can easily implement the system. Upon logging in, users would use my app to scan NFC chips that are spread around an area (since NFC chips are very accessible, a lot of them can be scattered around to have as many as one placed on each table). As the app scans for the unique serial number of an NFC chip, the app creates an encrypted key from the serial number for the user to input into the app. The scanned time would automatically be logged. The last thing the user would need to do is update the duration they have spent at each location. Each person can view their list of logs they have scanned on the dashboard and the duration they were there. Once a user is tested positive, admins can then update the logs created by that user in the database to flag them as “positive”. Other users can regularly check the “Tracing” page in order to see if they have come into contact with a positively-tested patient. I would like to note that the users are only able to see which of their logs have overlapped with the patients’ and they could not be able to see who the patient is in order to protect the patient’s privacy. A high number of overlaps would mean close contact. With that information, users can act accordingly, like getting a COVID-19 test or contact first responders for advice. Admins on the other hand could have precautionary measures by reverse-searching on the database to find potential spread and contact high-risk users.
How I built it
I used JavaScript and Nodejs as my backend. On top of that, I used express as my server framework for routing and serving handlebar rendered pages that would perform all sorts of GET, POST and PUT requests. I used materialize.js to make pages look good. I used passport.js to authenticate users because why build your own login when you can use Google’s as it is more secure and UMD students all have one. My NFC scanning feature uses Google’s Web NFC API to read NFC chips using chrome (in which implementation of this API is not widely used yet, because it is pretty new). My server would then take in these POST and PUT requests to update information in MongoDB's free database that I have set up. My server would take the database's information to check for any overlapped logs with a positively-tested user whenever the user requests for it.
Challenges I ran into
My inexperience in frontend limited my vision for the project but I overcame by using a server-side rendered "frontend". Working with an API that is still in its trial version posed many challenges, like its lack of adoption by anyone and Google, require the API to be accessed by a secured route (that's why I used my personal secured domain in order to be able to access the API)
Accomplishments that I'm proud of
Having a working prototype where logs could be successfully added to the database and server was able to retrieve data from a database. I was able to write a minimum viable algorithm to reverse search overlaps of logs. The challenge allowed me to work on a project that could potentially do social-good. Last but not least, I am proud that I was able to finish the project in less than two weeks.
What I learned
NFC data structures, the use of google authentication, server-side render of frontend, using a database, current contact tracing methods.
Built With
certbot
connect-mongo
cross-env
css3
digitalocean
dotenv
express-handlebars
express-session
express.js
google-web-nfc-api
html5
javascript
materialize
method-override
moment.js
mongodb
mongoose
morgan
nginx
node.js
nodemon
passport.js
Try it out
github.com | NFC Contact Tracing | A mobile web application that helps communities identify potential contacts with a positively-tested patient, without the use of location data or Bluetooth data logging to protect user privacy. | ['Calvin Leung'] | ['Second Place - Covid Track'] | ['certbot', 'connect-mongo', 'cross-env', 'css3', 'digitalocean', 'dotenv', 'express-handlebars', 'express-session', 'express.js', 'google-web-nfc-api', 'html5', 'javascript', 'materialize', 'method-override', 'moment.js', 'mongodb', 'mongoose', 'morgan', 'nginx', 'node.js', 'nodemon', 'passport.js'] | 2 |
9,956 | https://devpost.com/software/canded-d8ylsr | Our Dashboard!
Inspiration: When Black Lives Matter regained a spotlight in the media, many companies felt the need to release externally facing press affirming their stance to reduce inequality. While organizations pledged resources and time to tackle these difficult problems, most did not address the topic in their own workplace. 77% of employees mentioned that their employer had not addressed or made an attempt at starting a conversation about Black Lives Matter in the workplace and over 91% of employees want to have this conversation. Work is not separate from the stress, pressures, motivators, and pleasures we have outside of work and Canded helps bridge the gap. We serve to work with organizations to have difficult conversations around mental health, social issues, and other topics that have been generally avoided in the workplace.
What it does: Our solution tackles two core problems. First, we aim to use data to drive decisions. We will leverage our platform to collect data from employees through iterative 1-3 minute surveys every week. Unlike conventional engagement surveys, we integrate a company’s goals and values into the questions. We created a natural language processing system on the back end to glean trends in responses that will help us provide recommendations. We also realized that the current competitive market does not offer customizable solutions, but rather broad recommendations. Canded, however, focuses on gathering data to create actionable recommendations that align with organizational objectives and employee sentiment. All employees at the firm would have access to a dashboard with anonymized results and recommendations to move forward.
How I built it: The survey was built standalone to offer a consolidated and consistent place for each employee to submit. Icons for the survey were illustrated through web illustration applications and we modeled the survey with the best elements of Mailchimp, Typeform, and Google Forms. The front end of the survey will be adjustable and linked to a specific company in order to give the company an opportunity to change questions for themselves. On the back end, there is a database which stores responses, and a Python algorithm that scrapes text to determine employee sentiment. The dashboard is built using Tableau that can be accessed by any user.
Challenges I ran into: The largest challenges are working remotely with a team and getting customer feedback. The virtual collaboration proved to be a challenge because every piece of communication needed to be as concise as possible. Ideating online though can prove to be challenging due to a lack of a whiteboard and other in person functionality. We also wanted to get user feedback every step of the way but we realized early on that finding virtual participants would be difficult. That being said, we were able to find users to test out the features, functionality and overall merits of the idea through personal connections and online polling.
Accomplishments that I'm proud of: Having a difficult conversation is challenging but admitting that it’s needed can be even more daunting. Our proudest accomplishment was talking to businesses who felt that they needed Canded because they were unsure of where to start. We are in final discussions with two different organizations to run a pilot test and have almost completed the final development for the product. Mostly, we have gotten great feedback from customers who mention that this is definitely a project that they would be interested in and need. We know that this project is high impact in today’s world but will continue to remain and become more important as companies become more comfortable with having difficult conversations.
What I learned: Through the process, we have learned a lot about customer empathy. While our idea is sound and the technology is feasible, we have to focus on the customer first. For example, most users prefer simple interfaces and are more likely to complete a survey if there are images. This helped adjust our product from a technically advanced mechanism to a simple survey. We also found that most people need to see actual changes that prompted our invention of a company’s “canded-ness” score.
What's next for Canded: We plan on working with our initial two organizations to build out a full functioning dashboard and a customized platform. After that, we are planning on using customer feedback to incorporate feedback and better build out the platform. This funding would help us reach that goal because we could invest in better customization technology that would serve well for individual businesses’ needs.
Built With
adobe-illustrator
css
html5
jquery
Try it out
canded.me | Canded | A tool to help companies have challenging conversations. Through short, UX friendly surveys we gauge employee pulse for organizations to address topics around mental health, race, covid amongst others | ['Ankit Sheth', 'Kunal Dharmadhikari'] | ['Second Place - Social Impact'] | ['adobe-illustrator', 'css', 'html5', 'jquery'] | 3 |
9,956 | https://devpost.com/software/detect-collect-craft-sell-and-sink | A greener box for a greener planet
Its a story of three unlikely friends, pulled together to try and solve an impossible problem
Jacob Mast
, a recent UMD graduate in Eco-Tech Design and Soil Science, met
Jacques Marais
during the AgEnterprise challenge, where they discussed their shared fascination with Algae. Jacob mentioned how he had put an extensive amount of study and work in harvesting and dealing with Algae via his company ALG Labs. He has received grant funding to figure out how to turn algae into paper pulp. Jacques is another recent grad, with a B.S in Architecture. He spent most of his undergrad working on a company that pioneers Hydroponic houseplants and indoor gardens as a solution to modern human's lack of connection to nature and hunger for fresh, healthy greens.
Jacob and Jacques were both introduced to
Linda Yeung
at the start of the Makeathon. Linda, another recent grad, holds a Computer Science degree with a Sustainability minor. She previously interned at the USDA, Two Six Labs (cybersecurity), and NASA. Currently, she is interning at Esri, developing mobile applications enabling geospatial data.
The unlikely trio combined their skills to unearth some unique capabilities.
We started the journey of trying to solve saltwater intrusion (SWI) by looking at every angle of the issue. From start to finish, relying heavily on Jacobs soil science expertise, we navigated the complex environmental consequences caused by SWI.
Hemp, graphite, and even the ditch network seems to offer some protection against SWI. Ultimately, we felt these solutions were analogous to covering a crop field with a wet towel to protect against an eternal wildfire. Rather than solving the problem, the wet towel will most likely only delay the unending fire's inevitable disastrous effect.
We wanted our solution to be scalable and substantial enough to create long term impact and when we learned about SWI's direct connection to causing devastating algal blooms. We realized that our solution had to be to a different problem, not dead crops, but the death of a 100 billion dollar bay.
Linda, having extensive experience with map data and leveraging her experience with Geospatial data, jumped to a logical suggestion. Why not track algal blooms via satellites and predict where they will go next by modeling their behavior with machine learning?
Having a comprehensive understanding of how to harvest and transform algae into paper pulp, Jacob realized that we could then collect and create paper from the algae, using the methods he has already developed.
Jacques, tapping into his entrepreneurial spirit, reached the next logical conclusion. Instead of creating paper, we could turn the algae into cardboard. With the rapid growth of eCommerce trends, the cardboard industry is expanding, whereas paper is mostly stagnant. Additionally, paper would require the green pulp to be bleached; with cardboard, the green color could become the symbol of sustainability for packaging everywhere.
Although we did not find a solution to one of SWI's major consequences, crop death, we have found a solution to another significant effect: Algal blooms. We plan to move forward with this idea to develop it into a business, and winning the SWI track of the makeathon will help us immensely in prototyping the next stage. Thank you for taking the time to read about our journey. Hopefully, you are as inspired to act as we are. | A greener box for a greener planet | Our system turns harmful Algae, caused by saltwater intrusion, into cardboard, before it destroys the Chesapeake Bay. | ['William Jacob Mast', 'Linda Yeung', 'Jacques Marais'] | ['First Place - Salt Water Intrusion Challenge'] | [] | 4 |
9,956 | https://devpost.com/software/saltwater-intrusion-a-composite-approach | Inspiration
When we were originally asked to come together to work on this challenge, we neither knew each other nor anything about saltwater intrusion. But once we started doing some research into what this problem entailed, we realized just what a fascinating issue this actually was. Our motivation was definitely that none of us had ever worked on a project like this before, where we could be a part of inventing a transformative solution that would benefit our community directly.
What it does
On the technical side, graphene is a layer of carbons one atom thick and as strong as steel that can filter out contaminants in water very effectively. However, the other 3% still has to be accounted for and we addressed it using a much smaller scale of distillation. Distillation is used all over the world as a way to drink seawater, by first evaporating the water, leaving all particles, namely salt, behind. The water vapor is then condensed by putting the gas in a lower temperature, and the now liquid water comes out free of contaminants, but also healthy minerals. The salt left in the tank is then either dumped from a moveable cartridge at the bottom of the tank or flushed out by an insolvable solution such as alcohol, and directed into another tank storing that salt. As part of our zero-waste initiative, the salt is resold for profit. This second process takes out at least 98.5% of all remaining particles in the 3% salty water. Our solution is small compared to a distillation plant, about the size of washing machine, and very scale-able. Each system can produce 14,000 gallons of water a day by filtering out the salt from the adulterated freshwater aquifer, which is needed to water the plants through regular irrigation methods. While each farm may need more than one system to fully cover its land, the systems are reasonably priced as to ensure that every farmer has enough water without being strained for money.
Challenges I ran into
The biggest challenges we faced came from us not being experts in this field. Many of the solutions that are related are either too energy expensive or work on a smaller scale, so we had to find a solution even though we were not particularly versed in this field. Another challenge we faced was not knowing how effective our solution is with no way to test it out. We had to do extensive research on case studies instead in order to form an informed hypothesis so that once we have access to some experts, we may be able to actually prototype. Lastly, we have no benchmark of market valuation or production cost. We based our financials on how we believe the market to look like such as proportionally scaling down a distillation plant's operational costs, but we have no way of knowing how accurate it is without knowing some underlying industry facts.
Of course, there is also the challenge of being remote and having to meet virtually, but the team was all present for the most part and we made the best of the situation.
Accomplishments that I'm proud of
We felt proud just to have something to turn in. We worked really hard on crafting a solution to a very real problem with very little information and from the people that are more versed in this than us, we have heard that this solution could actually work, which is beyond exciting. I personally am proud just to have the opportunity to be a part of something like this, and as something I can see myself continue working on in the future.
What I learned
Our experience working on this was, thankfully, a very positive one. We learned a lot from each other as some of our teammates were better at finance and economics, others design, and others being good researchers. We were also pleasantly surprised at how much we were able to understand about this problem, therefore we learned that it is not necessary to be an expert in a field in order to solve a specific issue in it. In fact, sometimes a polar opposite perspective is very, very valuable. Also, we would have preferred working together face to face, but we realized that it did not have as large an impact on our ability to find a solution as we once thought it would be.
What's next for Saltwater Intrusion: A Composite Approach
This is more comprehensively covered in the attached presentation.
Try it out
docs.google.com | Saltwater Intrusion: A Composite Desalination Approach | The most innovative solutions are ones where no one thought to look. Here, we use the notorious hemp plant to aid in an urgent agricultural crisis. Snoop Dogg was definitely on(to) something! | ['Aishwarya Tare', 'Delina Peter', 'Daisy Noel Ndofor', 'Pearl Andrieu'] | ['Second Place - Salt Water Intrusion Challenge'] | [] | 5 |
9,956 | https://devpost.com/software/a-decision-making-tool-for-saltwater-intrusion-in-maryland | Inspiration
Our inspiration for this project is to support the efforts to deal with the growing threat of saltwater intrusion to food production and water quality. Sea-level in Maryland is expected to rise 1-2 feet by 2050. According to a team of researchers from the University of Maryland, George Washington University and University of Delaware, 1400 acres of farmland in Somerset County was converted to tidal marsh from 2009-2017, which means that 2% of the farmland was lost in 8 years. As coastal flooding encroaches on farmland, there is an increasing need for solutions that promote resilience to coastal plain communities.
What it does
This database will function as a Clearing House for Saltwater Intrusion. It will provide farmers and other stakeholders with information of what is known regarding land management recommendations in case your land is affected by saltwater intrusion, policy development in the State of Maryland, data sources (i.e. Chesapeake Bay Datahub, sea level rise predictions by Maryland Sea Grant), adaptation strategies to improve soil health and lessen the effects of saltwater intrusion in the short term, and research articles about this topic.
Challenges we ran into
The main challenge we faced was that we were not familiar with the Saltwater Intrusion topic before this Makeathon. We had to do a lot of research to find out what resources and tools are already out there. Even though the lack of familiarity with the topic was a challenge, it also gave us an opportunity for us to learn and ask questions to experts in the field. We had a Q&A session which gave us a great opportunity to assess if our project idea would be a valuable tool to farmers.
Accomplishments that we're proud of
We are proud of being able to contribute to the efforts to mitigate the social and environmental effects of Saltwater intrusion. We hope the idea for this database will become a valuable tool for farmers seeking for guidance and resources in order to adapt to saltwater intrusion.
What we learned
We learned that there is a lot of information out there regarding saltwater intrusion, but farmers may not be familiar with it and may not to know available options and useful resources that could help them deal with this threat to the coastal plain communities.
What's next for A Decision-making tool for Saltwater Intrusion in Maryland
A fully developed database that will be a one stop shop for both research and potential alternatives for farmers looking to adapt or accommodate to saltwater intrusion.
Built With
adobe-creative-sdk | A Decision-Making Tool for Saltwater Intrusion in Maryland | A digital database and content aggregator of everything Saltwater Intrusion related | ['Sarah Ponte', 'Eric Ross', 'Rahat Sharif'] | ['Third Place - Salt Water Intrusion Challenge'] | ['adobe-creative-sdk'] | 6 |
9,956 | https://devpost.com/software/maryland-coronavirus-monitor-qrb16o | This is the state of Maryland at the first week in the dataset: the week of March 15. A lot of data had not yet been reported this early.
A pop-up briefly explains what the tool is and how the user can utilize it.
This is the map at the last week in the dataset: the week of June 21. There are a lot of colors mainly indicating low growth rates.
Inspiration
Hello!
I have an interest in visualization and wanted to create something new and useful to help with the pandemic in my own community. With the ever-changing circumstances that we are living through, we often wonder how exactly the pandemic is doing in our area, and if it is getting any better. There were currently lots of bar graphs with trends and visual maps of cases by region out there, but from all the data out there, it was not always easy to interpret how exactly we were doing, and what the progress of my state (Maryland) looks like. Therefore my goal for this project was to make it easier to tell how our particular county is doing and how much improvement we are seeing by giving as much context as possible to the data.
What it does
This tool maps out the growth rate in cases of a particular week by county. It helps give a ton of context to the number of cases so that users can understand how it fits into the bigger picture. Instead of just knowing that cases have increased by 400, or a specific percent, they also know what the situation looked like in previous weeks to have a comparison point, and they receive a hint regarding potential trends that may be developing. Since the growth rate tends to fluctuate, the trends information is not always relevant, but it is very useful when the recent weeks have shown a consistent pattern, such as the growth rate decreasing for 9 weeks in a row. The timeline helps track the progression of growth in the virus in Maryland, and I think it would be a really interesting tool in about a year when we can see when cases surged and slowed and connect this to real-life events.
How I built it
I found a great data source for cases by county from
here
. Since this data did not have map geometry, it was not yet suitable for mapping. I combined this data with a dataset for Maryland county coordinates, so that all the data was matched to a location. I also added new properties such as the percent calculation, acceleration (how much the percent changed by), and a way to detect trends and track how long they last for. All of this data manipulation was done with Python prior to building the actual map.
I used mapbox to add and display my data fields to a map of Maryland. This required a ton of uploading to make the sure the data worked (and if the data was accurate). I then styled the map to change the color of counties based on certain conditions. This map was displayed on a web browser using Javascript, and the information-box and legend were all styled with CSS and programmed with Javascript.
Challenges I ran into
Generating data that was compatible with mapping was the hardest part because I only had a dataset of raw cases by county. It took a lot of time to figure out how to integrate this data into a map, especially because it didn't even have geographical coordinates. I ended up using Python to create a program that could add the geographical coordinates to my case counts, as well as calculate the needed percents, accelerations, and trends for each data piece. All of this was compiled into a geojson data format using the PyGeoj library so that it could be mapped.
Accomplishments that I'm proud of
I'm happy that I was able to make the dataset mentioned above work with mapbox since I am still fairly new to Javascript and mapping, and I'm happy that my tool is easy to use and understand.
What I learned
I learned about how Javascript works because I had never used Javascript in a project before. My experience with Python definitely helped a lot and I was able to learn it without too many problems. I also learned how mapping data actually works and how to format my data in geojson so that it can be mapped. It was a fun experience and satisfied my curiosity to learn about mapping.
What's next for Maryland Coronavirus Monitor
Here are some weaknesses in my tool that should be addressed:
-The slider must be slid slowly, otherwise the map takes a bit of time to catch up (while rapidly changing colors)
-The dataset needs to be updated weekly by me because I use a Python program to format the data and calculate its properties before mapping. Hopefully I can integrate this to automatically happen within the Javascript once I am more familiar with the language.
-The map calculates all the properties based on case-count without taking into account testing. This makes the data a little bit unreliable since testing affects the case-count. If I have access to any such dataset, I would love to be able to account for testing by county by mapping the percent positives. However due to limited data, I chose to go with growth rate for now.
Here are some future considerations to build upon the project:
-In the future, it would also be cool to add some more advanced techniques to analyze trends in the data and report it in a user-friendly manner, since I used a basic way of doing this in order to save some time.
-Also, I hope to add a way to indicate shut-downs, university updates, reopening phases, school system updates and more based on county so that it can be an even more useful tool to use as the pandemic progresses (especially with the possibility of a second wave).
-Even further down the road would be a way to add predictions, assuming the dataset has expanded enough to provide for somewhat accurate predictions.
Built With
html
javascript
mapbox
python
Try it out
jhta17.github.io | Maryland Coronavirus Monitor | Track the rates and trends of the pandemic in Maryland by county | ['Tanaya Jha'] | [] | ['html', 'javascript', 'mapbox', 'python'] | 7 |
9,956 | https://devpost.com/software/offline-movement | App Logo
GIF
App Demo
App Ad Poster
Offline Movement
Offline Movement is a phone application that allows users to connect to others without using Cellular Data or the Internet. This Offline Messaging feature is secured by a peer-to-peer mesh network (Bluetooth) that allows for direct communication between smartphones.To enforce privacy the app includes encrypted messages and tools to blur individuals' faces in photos and vidoes. In order to ensure safety the app has a voice-activated video recording system installed. Offline Movement is a savior during disaster situations and mass gatherings.
Vision & Inspiration
As protests against police brutality have swept across the nation following George Floyd's Death, Protestors are looking for apps to ensure their safety. In order to guarantee the safety of friends and family going out to protest we looked into existing apps and we came upon the Firechat Offline Messaging App. Firechat uses a peer-to peer mesh network allows users in close proximity (400-500ft) to message each other without cellular data or the Internet. It inspired us to develop an app used in case of disaster situations and mass gatherings. Users may contact nearby individuals for help without cellular data or the Internet. Additionaly they may use voice activated features (code-words) to enable voice activated video or voice recording if they're enduring abuse or violence and cannot physically turn on their phone's camera. Finally, to guarantee that their cellular device is not used against them, a voice activated shut-down feature will also be implemented..
How we built it
Design UI/UX
Code UI/UX in Android Studio
Secure peer to peer mesh network (Offline Messaging) with Bridgefy SDK in Android Studio
Add Android Studio Voice Capabilities to allow for Voice Activated Commands
Utilize OpenCV SDK for facial recognition tech to blur individuals’ faces in photos and video messages in Android Studio
Challenges We Ran Into
Bridgefy is a developer-friendly SDK that can be integrated into Android and iOS apps(including messaging apps) to make them work without the Internet. However, when this SDK was implemented into our app we noticed that many of the methods Bridgefy SDK used have been deprecated.This may be due to the fact that the last update to the repository was 12 months ago. We attempted to replace those methods with newer versions of the methods however some methods no longer had replacements so we were unable to implement the SDK like we wanted to.Additionally, many of us are better equipped in python and web development and know less about app development. We were unable to go into IOS app development and test the IOS Bridgefy SDK because not all members of the team owned a Mac.
Our team faced difficulties in communicating with each other due to time zone differences.With the timezone difference, some of us had to compromise by sacrificing our sleeping schedules.In addition, sometimes the internet connection sucks.However, we did not want time zone differences, sleep deprivation and a bad internet connection to hold us back from participating in this hackathon.
Accomplishments We are Proud of
Utilizing the knowledge we gained from the workshops to create our application
Being able to work together and produce something despite our major time zone differences and limited time.
Being able to bring all of our unique educational backgrounds to produce a product.
Learning that this is a novel idea that others have not created before.
What we learned
We learned how to use Android Studio for the first time, and how to work together with different skill sets. In addition, we learned that many tools like Bridgefy SDK and OPENCV SDK exist that can be used to make our app a reality.
Built With
Bridgefy SDK
- SDK used to set up offline messaging
Android Studio
- Developing App
Figma
- Designing UI/UX
OpenCV-SDK
- Facial Recognition for Face-Blur
Java
- Coding Language
Getting Started/Set Up Guide
In Github click the "Clone or download" button of the project you want to import --> download the ZIP file and unzip it. In Android Studio Go to File -> New Project -> Import Project and select the newly unzipped folder -> press OK
In Android Studio, create an Android Virtual Device (AVD) that the emulator can use to install and run your app.-->In the toolbar, select the AVD that you want to run your app on from the target device drop-down menu.Click Run. OR Use Android Device. On the device, open the Settings app, select Developer options, and then enable USB debugging.
Authors
Mualla Argin
-
App Development: Back: Full Stack Development | College sophomore in Computer Science
-
margin25
Victoria Nguyen
-
UI/UX Design | 42 Silicon Valley Biology/Computer Science
-
VictoriaNguyenMD
Agnes Sharan
-
App Development: Back End Development| Student in CS
-
agnes-sharan
Layan Ibrahim
-
Video and PPT | Junior at Emory majoring in Neuroscience and Behavioral Biology
-
layibr
What's Next for Offline Movement
In the future, we are hoping to fully implement the voice recognition tool so that it only recognizes registered users voices so others cannot misuse the app. Additionally, we are looking to make the program run so that it gives user advice according to the contents of their audio or voice recordings. We also hope to better implement our idea with a full understanding of Bridgefy SDK and OpenCV SDK.
Built With
android-studio
bridgefy-sdk
figma
java
opencv-sdk
Try it out
github.com | Offline Movement | Stay Safe And Let Your Voice Be Heard! | ['Layan Ibrahim', 'Mualla Argin', 'Agnes Sharan', 'Victoria Nguyen', 'Victoria Nguyen'] | ['Grand Prize'] | ['android-studio', 'bridgefy-sdk', 'figma', 'java', 'opencv-sdk'] | 8 |
9,956 | 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'] | 9 |
9,956 | https://devpost.com/software/covid19-outbreak-and-npi-prediction | Coronaob.ai - Pandemic Outbreak and mitigation prediction
1.Overview
Coronaob.ai is the ultimate tool for predicting epidemic trends. It has been built with the help of artificial intelligence and statistical methods. This epidemic forecasting model helps in giving a rough estimate about the future scenario and also helps in suggesting non-pharmaceutical/mitigation measures to control the outbreak with minimum efforts. This will give a head start in the preparations that are made to curb the pandemic before taking the lives of people.
Note: An NPI is the same as a mitigation measure.
2.What exactly is the problem?
During any pandemic, it's difficult to scale up the implementation of the mitigation measures, this is often because of the chaos that is caused during the pandemic. It often becomes an unseen situation wherein the authorities lack smart judgment on which step to take further which makes the situation even worse. It's not always necessary to implement the strongest mitigation measure as medium-strength mitigation can get the job done, thus giving more weightage to the economic stability and other subjects.
3.What can be done to tackle this issue?
A strategy that can give a rough picture of the future scenario describing the number of cases and the area of spread can give an insight into what could better be done to reduce the effect in an easy and cost-effective manner. Also, having a record of previously taken successful-steps can also provide much boost to this strategy.
4.Our Goals
a. To give an estimate by forecasting the number of cases and trends in the spread etc, which will give a good construction of how the scenario would be.
b. To suggest/predict the best suitable mitigation measures, according to previously taken successful steps, thus saving resources and not creating chaos.
c. To make this approach a robust one, so that any agency working on
5.Milestones
Prototype stage
: We have completed our first stage training and testing on the covid19 data and have achieved over 90% accuracy in predicting the new cases the immediate next day and over 85% accuracy in predicting the long term scenario.
On the mitigation prediction part, we have achieved an accuracy of 91.8% and we were successful in bringing down the hamming loss to as low as 8.2%.
Accuracy
: Our method is one of the most accurate ones among the others in predicting such trends.
6.Specifications
Our submission is a script containing the machine-learning models that can be boosted with an interesting UI as mentioned in the gallery picture.
7.Technical details
Major tools used
:
a. Kalman filter
: It’s an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe.
b. Regression analysis
: It’s a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome variable') and one or more independent variables (often called 'predictors', 'covariates', or 'features').
c. Scikit-learn
: Scikit-learn (formerly scikits.learn and also known as sklearn) is a free software machine learning library for the Python programming language.[3] It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means, and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.
8. Dataset Description
Some details regarding the columns of mastersheet prediction are:
Each row is an entry/instance of a particular Npi getting implemented.
Country: This column represents the country to which the entry belongs to.
Net migration: The net migration rate is the difference between the number of immigrants (people coming into an area) and the number of emigrants (people leaving an area) throughout the year.
Population density: Population density is the number of individuals per unit geographic area, for example, number per square meter, per hectare, or per square kilometer.
Sex Ratio: The sex ratio is the ratio of males to females in a population.
Population age-distribution: Age distribution, also called Age Composition, in population studies, the proportionate numbers of persons in successive age categories in a given population. (0-14yrs/60+yrs %)
Health physicians per 1000 population: Number of medical doctors (physicians), including generalist and specialist medical practitioners, per 1 000 population.
Mobile cellular subscription per 100 inhabitants: Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service that provides access to the PSTN using cellular technology.
Active on the day: The number of active cases of covid19 infections in that particular country on the day it was implemented.
Seven-day, twelve-day and thirty-day predictions are for active cases from the date it was implemented.
And the date-implemented is converted to whether it was a week-day or a weekend to make it usable for training.
The last column represents the category to which the NPI that implemented belonged to.
9. I/O
Input
: The epidemic data such as the number of infected people, demographics, travel history of the infected patients, the dates, etc up till a certain date
Output
: 1) Prediction of the number of people who will be infected in the next 30days.
2) The countries that will get affected in the next 30days.
3) The mitigation/restriction methods to enforce such as curfew, social distancing, etc will also be predicted, to control the outbreak with minimalistic efforts.
10. Dividing the measures into categories:
Category 1
: Public -health measures and social-distancing.
Category 2
: Social-economic measures and movement-restrictions.
Category 3
: Partial/complete lockdown.
To categorize the npis we followed a 5 step analysis
:
Step 1
: We chose 6 different countries that have implemented at least one of the above-mentioned npis.
Step 2
: We had chosen a particular date wherein one of the NPI was implemented.
Step 3
: From that date (chosen) we had calculated a 5day, 8day, 12day growth rate in the number of confirmed cases in that country.
Step 4
: According to 1)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327893/
2)
https://www.worldometers.info/coronavirus/coronavirus-incubation-period/
we took a reference that, over 50% of the people who are affected on day1 show symptoms by day5, over 30% of the people affected on day1 show symptoms by day8 and the last 20% start showing symptoms by day12. Assuming that, they get a checkup as soon as they are showing symptoms, we had calculated a cumulative growth rate.
Step 5
: This cumulative growth rate was not very accurate due to the population densities of the countries being different. So, we had normalized the obtained scores from step4 by the population densities. That gave us the following results.
More information can be found here:
link
[ (896.4961042933885, 'CHINA', 'SOCIAL DISTANCING'),
(720.7571447424511, 'FRANCE', 'PUBLIC HEALTH MEASURES'),
(578.0345389562175, 'SPAIN', 'SOCIAL AND ECONOMIC MEASURES'),
(527.7087251438776, 'IRAN', 'MOV RESTRICTION'),
(484.1021819976962, 'ITALY', 'PARTIAL LOCKDOWN'),
(207.67676767676767, 'INDIA', 'COMPLETE LOCKDOWN')]
Ex: (Cumilative growthrate(normalised), Country Name, Measure-taken)
So the above analysis shows the decreasing order of growth rates and increasing order of strength, however, this is not very accurate due to various other reasons, but this gives a rough estimate of the effectiveness/strength of the npis.
11. Working
a
. The inputs given regarding the previous days’ record of the outbreak are first filtered by the Kalman filter and then further the modified inputs are sent to the regression model which will predict the scenario with better accuracies than any other simple regression model.
b
. Then the predictions from the above models are fed into the machine-learning model which will further help in predicting the mitigations to be used, based on the previous history given in the literature, ex-social distancing.
c
.We performed 10 Folds Cross-Validation by dividing our data set into 10 different chunks, then running the model 10 times. For each run, we designate one chunk to be for testing and the other 9 are used for training. This is done so that every data point will be in both testing and training.
12. Conclusions
This method can help the authorities to develop and predict various mitigation measures that will help in controlling the outbreak effectively with minimum efforts and chaos.
13. What did we learn?
a
.This project was challenging in terms of the conceptualization and data collection part, there was no direct data available. We learned how to take relevant data from different datasets, engineer them, and use it for our purpose.
b
. The regular regression algorithms failed in giving accurate results, so we had to think something different that can increase accuracy. Thus, we came across the idea of using the Kalman filter, and using these updated inputs we could achieve better accuracy.
c
.Since we had to take regions having more than 1000cases only for the effectiveness of data, the overall dataset became small, deep-learning models failed. This made us switch to machine-learning algorithms.
d
. We also used clustering algorithms which gave a deep understanding of why these work better in some situations.
e
. Also due to some problems, it was exciting for us to use both R and python in a single notebook thus adding it to our learning.
14. The drawbacks of our approach
a
. This above-mentioned approach has many drawbacks, one of them is an incomplete dataset.
b
. There are no good-differentiating features in the dataset.
c
. In our approach, we are not able to decide the effectiveness and a go-to plan of action for deploying npis.
All the data-points are very-similar to one-another, hence it is being difficult for the algorithm to learn.
15. What improvements do we want to make further?
a
.There could be a set of strong differentiating features in the dataset, which will make the generalization easy.
b
.There can be a further categorization of npis for better implementation of them.
c
.The dataset can also be combined with economic parameters further, to understand the economic feasibility of the NPI-implementation.
d
.It can further be used to predict the decrease in growth rates, once an NPI is implemented to further note the real-time effectiveness of the npis in a particular demographic
15. References
a
.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327893/
b
.
https://www.worldometers.info/coronavirus/coronavirus-incubation-period/
c
.
https://archive.is/JNx03
d
.
https://archive.is/UA3g14
All the other references are mentioned in the submission notebook at every step.
16. Product Roadmap
The coronaob.ai team has the functionality of the platform. We are currently in the process of bringing our front-end up to speed with our U/X designer's wireframes. Below is our Product Roadmap post hackathon submission:
a.New Security Features
b.Admin Dashboard
c.Analytical graphs
17. The team
a. Saketh Bachu - Machine-learning
b. Gauri Dixit - UI/UX development
c. Shaik Imran - Medical Expert/Design
Built With
kalmanfilter
matplotlib
numpy
pandas
scikit-learn
Try it out
github.com | Coronaob.ai - Pandemic Outbreak and mitigation prediction | Coronaob.ai is built with the help of AI and statistical methods. This model helps in forecasting the number of cases and also predicts mitigation measures to control the outbreak. | ['saketh bachu', 'Sandeep Kota Sai Pavan'] | ['Third Place'] | ['kalmanfilter', 'matplotlib', 'numpy', 'pandas', 'scikit-learn'] | 10 |
9,965 | https://devpost.com/software/immunolynk | Cover
Cloud Infrastructure
Healthcare Administrator Interface - Dashboard View
Healthcare Administrator Interface - Employee Tracking View
Mobile Application - Sign Up Page
Mobile Application - Risk Assessment Questionnaire
Mobile Application - Symptom Survey
Mobile Application - Test Scanning Screen
Mobile Application - Calculation Splash Screen
Mobile Application - Sample "True Immunity" Score Screen
About
Antibody tests are the key -- but only with intelligent guidance.
Rapid antibody tests have the potential to
empower frontline healthcare workers
. With a simple finger-prick, they have the power to
identify immunity in just 15 minutes
. And combined with wide-scale deployment, they have the ability to deliver
crucial insights
to hospitals and governments in the battle against the pandemic.
But without the proper tools, this potential will remain untapped. We must overcome three key barriers to harness the power of immunity testing:
Uncertainty
- Hospitals must be strategic in their test deployment. Timing is critical -- if the test is performed too soon after exposure to the virus,
the results can be completely inaccurate
. And even with perfect timing, lateral flow immunoassays have a PPV of as low as 55%— a dangerous shortcoming if not augmented with data on individual exposure risk.
Disorganisation
- Health care workers will need to be retested at regular intervals. This is
essential to combat the scientific uncertainty surrounding sustained immunity
and the variable accuracy of current tests. An easy-to-implement, easy-to-use, and interoperable platform is vital for tracking this unprecedented volume of immunity tests.
Privacy Concerns
- Healthcare workers need to feel confident that their data is secure. Immunity results must not only be FDA and HIPAA-compliant, but stored by an entity that users can trust won’t use it for the wrong reasons — now and forever.
Introducing ImmunoLynk
Effortless + Trustless = Fearless.
Healthcare workers use our mobile app to take a photo of their immunity test results. Our image classification algorithm, built on Keras over a ResNet50 model, automatically reads the test result as accurately as a physician, removing any possible user interference. The corresponding photo, test result and metadata are stored securely on a corresponding IPFS Blockchain node, guaranteeing the test validity and immutability.
The virus can adapt—so can we.
Healthcare workers fill out a brief, but thorough, questionnaire about their potential exposure risk factors. Combined with daily symptom surveys and hyper-local prevalence data, our proprietary machine-learning algorithm determines the ideal time to administer an antibody test. The result is fed into a Bayesian regression model, resulting in a single, easy-to-understand “True Immunity” score. This multimodal data integration overcomes the inherent sensitivity and specificity limitations of immunoassays, creating a tailored diagnostic test capable of accurately conveying the amount of uncertainty. Best of all, all logs are immutable, distributed, and instantaneous — so healthcare workers can worry less about the privacy of our data, and more about conquering the crisis.
We scale with the pandemic.
As our network of healthcare workers and the number of completed antibody tests grow, so does the strength of our algorithms. Our blockchain operating expenses cap at the ultra-low-cost of $25/month per healthcare facility, regardless of the number of employees or tests. IPFS nodes can be deployed and run completely on cloud elastic containers, presenting no additional data transfer, data storage, or uptime cost fees. Every machine learning evaluation is processed through an optimized gateway server so requests are readily processed and delivered to the Blockchain.
Connecting the world so we can reconnect.
Widespread adoption of the ImmunoLynk platform can effectively construct a distributed worldwide research network, creating the largest-ever study on the time-course of COVID-19 and its respective antibodies. This could provide the key data necessary to intelligently lift quarantine restrictions alongside community immunity testing, as well as prepare for future pandemics.
Caring for healthcare.
Priority allocation of immunity tests to healthcare workers aligns with European Centre for Disease Prevention and Control (ECDC) and Centers for Disease Control (CDC) recommendations, and with ImmunoLynk's help, it can put health providers' minds at ease. They can care for patients, perform procedures, and return home to their loved ones with less worry about contracting or communicating the virus. Our U.S. Equal Employment Opportunity Commission (EEOC) and American Disabilities Act (ADA)-compliant dashboard software for administrators also permits easy-to-implement tracking of employee symptoms and immunity tests, allowing them to strategically tackle staffing shortages in the wake of looming surges.
What we have done over the past few weeks
By integrating two initially discrete teams based around the globe and collaborating across diverse areas of expertise, we developed a feasible solution for the problems presented above in the context of a realistic business plan. These teams initially connected as participants in the
MIT COVID-19 Hackathon
, where one was announced a
winner of the challenge
. This joint team was subsequently named the
first prize winner
in the
Lumiata COVID-19 Global AI Hackathon
.
So far, we have created a working prototype of (1) a mobile app dashboard connected to a gateway server that (2) leverages machine learning to (3) combine questionnaire answers, location data and antibody test results to provide users with a "True Immunity" score registered to IPFS Blockchain.
(1) - The mobile app uses Expo.io API with React components to interact with users. It consists of a login and registration page, a symptom and risk questionnaire, and finally a test scanning section. This
interface is currently functional
. It takes a photo of the test placed on a QR barcode, sends it to a Gateway server, and displays the processed test result with an access link to the blockchain data.
(2) - The gateway server was built using the
lightweight Flask framework
with an exposed REST API, which receives both images and data from two distinct endpoints. Images are then submitted through the Keras model and, ultimately, uploaded along with the result and metadata to the
IPFS Blockchain node through Infura's API
.
(3) - Our image processing pipeline was built with Tensorflow, Keras and OpenCV2 on the ResNet-50 architectural network. It was extensively optimized to achieve an
accuracy rate of 91.8% for reading & recognizing the test result (a rate either very near to or better than the human baseline)
for feeding forward to the Bayesian Hierarchical Model.
We have also partnered with healthcare providers to gain access to anonymized symptom and exposure risk questionnaire data linked to antibody test results. This allows us to now predict infection with some degree of certainty purely from questionnaire data.
Our solution’s impact on the crisis
Accelerates the antibody testing process.
The manufacturing capacity of inexpensive and accurate lateral flow immunoassays is increasing exponentially, shifting the bottleneck from test availability to test administration rate. ImmunoLynk enables decentralized testing, alleviating the burden on hospital departments and research facilities. Our effortless data collection platform is woven into a privacy-focused decentralized storage solution, the nature of which was
recently promoted by hundreds of scientists
and
endorsed by Apple and Google
. This data is impossible to alter, hack, or forge by any bad actors.
Helps answer the question: Do antibodies provide immunity?
Studies of the effects of direct exposure of people who have previously caught COVID-19
are being planned
, but are fraught with ethical concerns and high associated costs. By collecting data on healthcare workers, one of the highest risk populations, ImmunoLynk can assess whether there is a substantial reinfection rate and if higher levels of antibodies can reduce that rate. This is a key question that needs to be addressed prior to the implementation of any wide-scale immunity-based solutions.
Inform the immunity passport debate and provide solutions.
As we assess the protective effect of antibodies against reinfection, we can provide much-needed information on whether immunity passports would have a significant societal benefit. Our decentralized storage of information would also make passport data safe and immutable.
The value of our solution after the crisis
Our systemized data from tracking antibody levels & predicting the level of immunity will remain important for possible
future waves of COVID-19 over the coming months to years
. It will also help to determine if antibody count actually confers immunity and, if so, to what extent. Even as large scale vaccinations are rolled out, our solution could easily be deployed for individuals to assess their immune response.
ImmunoLynk is just as applicable to other pandemics
for which lateral flow immunoassays are widely used, such as malaria, hepatitis, and dengue. ImmunoLynk can also help
aid diagnosis of an active illness
if adapted to use antigen immunoassays. Both could even be incorporated into a single test.
At the US level, our use of decentralized technology is in line with the nature of the
The Cures Act
, which "aims to empower Americans with their health data, delivered conveniently to computers, cell phones, and mobile applications". We are actively pursuing integration with the standardized API denoted in The Cures Act. Moreover, it allows a platform for managers to silo their employee's healthcare information,
a requirement of the ADA
. This easy-to-deploy management of healthcare information is
massively scalable to outside industries
, such as nursing homes, factories, travel & hospitality, and so much more.
At the EU level, our use of decentralized technology will be instrumental in advancing the
EU’s health data sharing initiative.
The European Commission has previously recommended that, in order to make further progress in interoperability, developments in digital technologies such as artificial intelligence, high-performance computing, decentralized technologies, and cybersecurity solutions should be carried out, noting that it would
increase trust and general feelings of accountability in government
.
Globally, our approach of tapping into a constant stream of data will
greatly benefit research specifically linked to antibody testing (e.g. virology) and, more generally, immunity.
Considering healthcare workers experience the most regular exposure to COVID-19, they are arguably the best individuals for identifying correlations & trends in the study of immunity. Epidemiologists could also use our data for pandemic modeling (SIR & SEIR), allowing
better preparation for future pandemics
. Lastly, it could
propel future healthcare adoption of blockchain technology
— possibly dispelling the popular notion that it is only useful in cryptocurrency, financial technology, & supply chain management.
What's next?
We need more images of lateral flow immunoassays
to improve the accuracy of our image classification algorithm. We already have thousands of images of lateral flow immunoassays, but more images of positive results and of assays from different manufacturers will help to ensure maximum reliability of our ResNet-50-based CNN classifier.
We need more questionnaire answers
linked to immunity test results to improve our prediction algorithm. We are in discussions with UC Berkeley (The University of California, Berkeley) and UCSF (The University of California, San Francisco) to utilize our platform in their large scale studies to further improve our prediction algorithm. We have also been collaborating with
COV-CLEAR
for the integration of our platform into their clinical trials in the UK.
We need introductions to hospital administrators and government officials
. Our market research demonstrates considerable widespread interest in a platform like ours that streamlines and improves the testing process; we just need the opportunity to prove that our system works and iron out any minor problems. We are currently working with Lumiata to introduce our platform to one of their healthcare partners.
Built With
amazon-web-services
blockchain
expo.io
flask
infura
ipfs
javascript
keras
opencv
python
react
react-native
resnet
tensorflow
Try it out
immunolynk.com
github.com
github.com
github.com
github.com
immunolynk.herokuapp.com | ImmunoLynk | Immunity testing meets AI + Blockchain. | ['Anurag Koyyada', 'Veeresh Shringari', 'Niamh Higgins | ImmunoLynk', 'Kaue Cano', 'Ruan Comelli', 'Matheus Tosta', 'Dmytro Ustianenko, PhD', 'Khush Tawar', 'Shivam Vedak', 'Excellence Ilesanmi', 'Tai Wu', 'Claudio Vilas Boas', 'Claire Louise Donnat', 'Frederick De St Pierre Bunbury'] | ['2nd place', 'First Prize, $10,000 and idea productionalized', 'Global SOS Finalist - Everything Remote Track'] | ['amazon-web-services', 'blockchain', 'expo.io', 'flask', 'infura', 'ipfs', 'javascript', 'keras', 'opencv', 'python', 'react', 'react-native', 'resnet', 'tensorflow'] | 0 |
9,965 | https://devpost.com/software/coaching-and-emotional-support-platform | Inspiration
Millions across the globe lack access to Mental Health Support. This is very unfortunate as good mental health relates to psychological and emotional well-being. Our goal is to make it possible for individuals from any part of the world, who are facing difficulties accessing mental health, either due to financial costs, stigma, lack of professionals or social distancing to be able to get the necessary support.
What's next
We would like to continue building our platform to increase confidentiality in online therapy and ultimately realize our vision of making mental health accessible and affordable for everyone.
Built With
amazon-rds-relational-database-service
bootstrap
html
java
mysql
uikit | Coaching and Emotional Support Platform | A platform for remote Mental Health Support. | [] | ['Global SOS Finalist - Everything Remote Track'] | ['amazon-rds-relational-database-service', 'bootstrap', 'html', 'java', 'mysql', 'uikit'] | 1 |
9,965 | https://devpost.com/software/non-zone | Inspiration - Problem & Solution
◦ Now, on one side, whether on a personal or on a professional level – Social Interaction
has been the most heavily affected by COVID global crisis. We may say, we have "life before COVID" - and "life after COVID."
◦ On the other side, these times of Global crisis have hit the Tourism Industry and Local Businesses with one of the worst crises in history.
◦ Social Distancing COVID turned crowded, lively centers in "non-places", as described by Marc Augé – mere places of transit, where the human beings remain anonymous - and the event, or situation is not relevant enough to be remembered.
◦ A Non-Zone is the exact opposite of this. It's a personal place. A place with a Story. Where something has happened.
◦ Not a map of Locations, then but a map of Stories – to create a deeper human connection in the times of Social Distancing, and a richer traveling experience, whether somewhere on the other side of the world, or right downstairs, in a common road.
Industries & Audience
Tourism Industry
- specifically:
Experiential Traveling / Travelers
Solo-Traveling / Travelers
Roles in the ecosystem:
"Zoners" - who
create and discover
new
non-zones
"Explorers" - who
visit and experience
existing
non-zones
"Curators" - who
validate
the new stories/non-zones created by
Zoners
On one side, each new
non-zone
works as a
template
- so that every time a new
Traveler
likes the non-zone and adds a personal story/experience to it, the user who created it (Zoner) will get
a monetary reward
in the form of tokens.
On the other side, in these times of crisis for the Tourism sector, Merchants (restaurants, tourist-sector providers, etc) can join the
Non-Zone ecosystem
- boosting their business by accepting the ZONE tokens, and immediately appearing on Travelers' map.
This design keeps Non-Zone's experience fun, easy-to-use, and beneficial for all the categories involved in Experiential Traveling: content creators, travelers, and experiential service providers.
What it does - Our Product
Our Solution uses Storytelling, Geo-Fencing and Blockchain to create a global map of "special places."
Users (Zoners/Travelers) can visit usual roads/streets - or may travel on the other side of the world - and can easily "pin" a new
Story
, based on their personal connection with it.
Any time Users "pin" a new location, coordinates are added automatically, and they need to add a title/description/hashtag for the
Story
to be added to the map.
The
Mobile app works as a "Zone Detector"
- sending Travelers a pop-up/audio notification any time they pass by a new
non-zone
.
It also works as an actual map for
Travelers
:
Users can create their
Zone-Itineraries
, and travel based on the
non-zones
listed.
Users can easily find
Local Guides
providing Tours in the nearby Zone.
Use of Blockchain:
We are building a Value-based Network using "Proof-of-Interaction":
Every non-zone is "minted" as a unique Non-Fungible Token
Zoners
can profit when creating a new non-zone, that works as a digital property
Their profit depends on the "value" of the non-zone itself.
Value of a non-zone is established through the number, and the quality, of Interactions.
Explorers
are travelers who discover and validate existing non-zones. If they want to interact with the non-zone - for example "signing in" - "adding to the wall" - "checking spot in Zone Passport" etc. - they need to use SPACE, an internal credit system.
Every time SPACE is used to interact with a non-zone, 10% of it comes back to the Explorer converted in ZONE Points: discount coupons to use with Merchants in Non-Zone ecosystem.
We use Storytelling, Geofencing & Blockchain to create every non-zone as a profit-
sharing marketplace - and our Business Model was designed to be consistent with the vision of our ecosystem, and to maintain our network liquid and sustainable.
How we built it
React
Typescript
Firebase
Google-maps
Open Community Map
What we are proud of
In few days we turned Non-Zone from a draft project to a fully functional prototype that you can already download(!), we built a strong, balanced team – and we already engaged users in multiple hot-spots in Europe.
Next Steps for Non-Zone
We will continue building our online presence, release our website, and start publishing our user-generated contents.
In 1 month, we will be ready to launch our product. For our Market Entry we will focus on countries such as Italy and France, with a rich cultural heritage - and a quick-track to partnerships, essential to us for onboarding real users and providing a better traveling experience.
Check out our Solution
Feel free to explore our project's repos on GitHub
:
https://github.com/non-zone/non-zone
Or just
try out our app at
https://non-zone.web.app
Built With
firebase
google-maps
open-community-map
react
typescript
Try it out
non-zone.web.app | Non-Zone | Non-Zone is the global map for experiential and solo-travelers. "Pin" a new location, or discover a new "magic" place. Anywhere, at any time. | ['Alex P', 'Serjey Rudenko', 'Dmitry Yudakov'] | ['Global SOS Finalist - Anything LocalTrack'] | ['firebase', 'google-maps', 'open-community-map', 'react', 'typescript'] | 2 |
9,965 | https://devpost.com/software/grow-local | Welcome screen
Login Screen
Customer local business explorer screen
Local business detailed transactions and deals screen
List of all deals at all local businesses that can be searched screen
List of all customers screen for business owner
Analytics and Deal Recommendations screen for business owner
Analytics and Deal Recommendations screen for business owner
Inspiration
COVID 19 has impacted a lot of small and local businesses. We need to support our local businesses by shopping at local businesses such as small retails stores, family owned restaurants and other businesses.
What it does
Our app bridges the gap between customers and local businesses through an easy to use interface where customer registers their phone number with a business and receives rewards for every transaction at the business. Customer can redeem the reward points.
Our app helps customers manage reward points and can search for deals at small local businesses as well as get notifications when new deals are advertised.
Our app helps business owners view sales analytics of their inventory as well as recommendations of general deals to be created for their business as well as deals targeted at specific customers.
How I built it
Used flutter to create android, IOS and web application
Challenges I ran into
Thinking of what data can bring the most value needed a lot of brainstorming and design thinking
Accomplishments that I'm proud of
Showing some of the proposed features in the application
What I learned
Learnt the challenges that local businesses are facing and how we can address it
What's next for Grow Local
Use blockchain to receive and redeem rewards in the form of tokens so that customers can have flexibility of spending tokens at any preferred store or business.
Use machine learning to analyse transactions data and provide trends and targeted deal recommendations.
Let users vote for the deals they would like to see so that businesses can use the feedback to offer deals.
Built With
flutter
Try it out
github.com | Grow Local | Our idea is to support local businesses by encouraging customers to buy/dine at local businesses through blockchain based token rewards and machine learning to help recommend targetted deals | ['Narayana M', 'Rajeshwar G'] | ['Global SOS Finalist - Anything LocalTrack'] | ['flutter'] | 3 |
9,965 | https://devpost.com/software/fundit | Sign-in
Business Information
Highlights
Payment Processing
fundIt
A platform that democratizes access to capital for small businesses via crowdfunding
Inspiration
Startups founders don't have those connections or profits to get funding and especially in a year full of uncertainties many big investors are scared to invest in small businesses. And not all startups makes million dollars in their beginning years.
Meanwhile, most people are not as rich but want to invest. So we want to build a platform that benefits color businesses (because majority of them are quite small) and Investors both. Startups put their video pitches to help make investor a decision on the startup and investor can make an appointment with the business to know about their future goals before investing.
What it does
fundIt is a an app for small businesses to get crowdfunding by retail investors for equity.
Users can login and authenticate their credentials via Apple/Google/Email
Startups can post data such as PDFs, Images, and Text to supplement their crowdfunding campaign and help investors to make investment decisions
Investors can browse all campaigns via a Tab view
The most unique feature of this platform is the highlighted businesses of the month. Underrepresentation and discrimination is a huge problem in business investments so we want to represent those businesses by having a separate page for them.
Investors can schedule a virtual meeting with the representative of startup that will help investor know about the future plans of the business
Investors can pay as little as $10 for a share in the startup’s equity offered in the crowdfunding campaign
Investors can view their past investments & their total investments on a profile view
Startups can checkout the funds raised from the crowdsourced campaign via Apple/Google Pay to Apple/Google Wallets in a virtual FundIt card
How I built it
Flutter: Dynamic Mobile Applications that runs both on Android and iOS.
Firebase: For authentication
Square: Payment Processing
SQL: For storing the Business and Investor Information
UiPath: For automating the process for investors displaying startups according to their search history
Potential Users
Retail investors - who will be investing in the companies that are listed on our platform
Startups - they sign up for crowdfunding in exchange for equity.
Challenges I ran into
Payment Processing using Square
Automation with UiPath
Making dynamic user interface for startup took some time to apprehend
Accomplishments that I'm proud of
Able to build a working platform with a great team work in such a short time.
What we learned
Learned how to divide tasks as a team and be accountable for it, setting report time
How to do payment processing
What's next for fundIt
We are planning to reach small businesses and small investors who could benefit from each other. Small businesses by getting money and small investors by getting returns on their investment with as little as 10 dollars.
Built With
dart
firebase
sql
square | fundIt | A platform that democratizes access to capital for small businesses via crowdfunding | ['Sulbha Aggarwal', 'Rishav Raj Jain'] | ['The Best Business Idea'] | ['dart', 'firebase', 'sql', 'square'] | 4 |
9,965 | 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'] | 5 |
9,965 | https://devpost.com/software/givelive-livestream-platform-backed-by-machine-learning | Stand Apart: Together At Home
The Covid19 world pandemic has changed life as we know it. With much of the world social distancing, we are called to distance, but not isolate. It’s difficult to avoid the negative effects of social distancing when we can no longer visit friends and family or go to cultural events like concerts, festivals, and theatre. Behind closed doors we are still social beings; we need to experience each other. Sharing culture is what makes us human.
Give On LIVE! takes immediate action by partnering with one interactive medium, available to everyone with internet connection: LIVEStream. Live-streaming is already the new norm, and we have given it a new home. Our mission is to gather livestream content in ONE place. A portal that fosters connection between humans. The ultimate interactive stage where we can share culture without borders.
Host a LIVEstream or Share your favorite LIVEstream Creator. Post an event on the calendar and share with the world. Give On Live is the guide to discovering, hosting, and playing through virtual social connection that makes us human. We may be called to stand apart for now, but through Give On LIVE, we can be UNITED through LIVEstream.
#GetLIVE & #GiveLIVE
Stand Apart: Together Your Livestream Guide
Inspiration
How can people within communities support each other, and jointly work towards reaching a balanced day?
GiveOnLIVE; a platform building a robust database of livestream resources, plans to transparently and fairly recommend content and host to viewers for the purpose of wellbeing and balance. Each unique viewer has their own individual needs to stay balanced in quarantine. Our hypothesis was that we could make accurate suggestions based on case studies of healthy humans in district categories age, gender, tax bracket, etc... Our challenge was to determine can we build an algorithm with data that contrasts against “ideal” balance of interactive experiences for wellbeing and the new alternative ones offered by our platform in crisis and physical distancing times.
Solution
We are building an application that facilitates the connection and matching between viewers that need engagement in certain areas and creators that can share their talents or resources LIVE!
Interest can be chosen as a profile setting, but the solution allows for interoperability and exchange between LIVEViewers. Viewers can also join cluster based groups. Matching of emotional needs and specific events or Live Hosts/Creators will be improved over time through Machine Learning, and takes into account various input factors based on voice and text recognition.
Once the match is found and a community member helps complete a LIVE, the user can reward the creator by giving them "LIVE Time". LIVE Times are rewarded through a system that is modeled on the concept of mutual credit, to encourage a mentality of paying it forward.
What it does
The GetLIVE algorithm will lead individuals to follow daily content consumption leading to optimal emotional balance. It will also match users by interests and profile encouraging creation of specialty groups. Event categories like Mind, Body, Soul, Covid-19, etc will be further separated into emotional clusters when processing needs or unique viewers and filling their “Discover” space.
#GetPhysical, #GetThinking, #GetLaughs #GetLove #GetSkills #GetFaith #GetMusic #Concerts&Festivals
Our Impact
Our solution aims to mobilize human engagement, encourage wellness and provide insight into the needs of unique viewers. A safe home for livestream creators our AI matching algorithm encourages direct exchange of community members through #GetLIVE & #GiveLIVE Challenges by created by viewers, creators, and sponsors. Through gamification and non-monetary exchange of rewards, we aim to maintain and even increase the motivation of viewers and creators, creating an interactive giving culture. This is further strengthened through mechanisms for recognition and reward.
When it comes to long term impact, we hope to obtain analytics related to SDG Action to improve long term acts within social impact projects, and further encourage proximity and transparency between online marketers and viewers. Jack Dorsey, of Twitter, recently stated in a public event, “There is a clear need for transparency and fairness in the algorithms we create.”
Some of the impacts we will track within the communities using our platform:
Impact on the content choice and sentiment of viewers
Impact on the unemployment rate
Impact on mental illness cases
Impact on behavior and balance from machine learning AI recommendations
A detailed infrastructure and research strategy drafted in submission report.
Our Progress
We started with a Google Form, Public Calendar and a Dream; Bring hope into every home by sharing free resources in ONE easy to navigate guide.
The GLOBAL HACK - April 2020 During the Global Hack we gathered a small rockstar team and built out a simple front-end combining the Google Form and Google Calendar. We built on Wordpress and followed a theme with all the functions of a live streaming platform like YouTube. We kept it very simple, with a home landing page with categories, the full calendar, and submit form. We began recruiting LIVEAdmins to directly input new events following our community rules of engagement.
http://giveonlive.com/submit
The DATA BIO HACK - April 2020 We gathered physicists and data scientists to discover what data could tell us about what activities were available, how people were feeling, and a smart data-driven solution to recommend daily livestream to viewers we had never met. We scoured data sets and created the “Senti-me” aggregator. Using an API over Twitter we triggered collection of key words and posts. Thus we were able to gather, compare and analyze the sentiment of humans in different regions (IP addresses) This helped us to start forming our persona Thomas, an out of work creator and Tara Rose an exchange student living in the heart of the outbreak, Milano, Italy.
The EuVSVirus HACK - April 2020 We have built a mobile app for Android and IOS This has direct integration into the Google Calendar. Users can search the many listings and add to their personal agenda. There is an option to watch “Featured Daily” selections directly from the site. This will be connected to a smart bot, that uses data sets and sociology AI to recommend a curated daily agenda for viewers #MyPandemicSurvivalGuide. Also an option for “Daily Livestream” to an email with the pick of the day.
The Global AI Hackathon - April-May 2020 We have engaged in intensive research of various data sets, sentiment analysis and determined ways to use APIs to build our GetLIVE Wellness Algorithm. We had to pivot from our hypothesis and categories based on types of event to emotions critical to wellness. This allowed us to create more feasible data analysis and integrate into our recommender system. Our global team of scientists and design thinkers had helped to identify the direction for gaining a foundation of data through a beta mobile launch of users in our target and diverse profiles.
World Hackathon Day -
Under submission and HERE
https://github.com/hammedb197/GiveLIVE_AI/tree/master/emotional_detection
S.O.S. Hackathon -
We continue to polish our product and consider decentralized framework and opening up payment rails. We are in process of adding direct donations and payments using not only FIAT through merchant partners, but also our own custom made cryptocurrency peer to peer transfers. We have won Best Woman Led Project in this hackathon. Thank you S.O.S. Hackathon and great mentors from Ethereum Foundation.
Raise-Up Buildathon- July 2020
We begin to consider challenges and scaling including ways to make our database of LIVE content available to viewers with disabilities. We have integrated Alexa Skills so that content in the LIVEstream library can be searchable with voice. We have also added a chat bot to guide audiences to the content they seek. Our research team has compiled Cultural Institutions and City Virtual tours on the Web. We plan to reach out to these institutions directly. They will be able to access their profiles, creat events, and accept donations and ticket sales. This is possible through the Events Calendar plug-in w have installed. Thank you Modern Tribe ( Creator of the software). Our AWS account has details of Alexa Skills, Lex for chatbot, and Amazon Pay integration. Thank you Amazon!
https://github.com/giveonliverepo/aws-raiseup-hack
How we built it
We started with a simple Google Form & Calendar, and added a front-end website built on Wordpress. We began recruiting LIVEAdmins to add events to the calendar and recruit users to niche FB groups related to different categories. We built a back-end aggregator to scrape events off posts on Twitter to start. These events integrate directly to the public Google Calendar and pass through a moderation portal where admins can have access to push to the system or not. This will soon be integrated into a Hyperledger, Sawtooth blockchain infrastructure to allow for decentralized storage of database content. For admins we will make a streamline way to submit livestream recommendations though desktops and and app integratable bots to their own calendar, eventbrite, instagram and youtube accounts.
Challenges
There are endless resources and we need a scalable method to make sure content is appropriate. As we grow the host creator community we will also be challenged by maintaining an open governance that adheres to the rules of engagement. Getting started configuring the web server was challenging. Integrating the different tech and plugins took time and strain. We had to deal with bugs. We were also working on various time zones, so team collaboration challenges. Very grateful to mentors and slack that helped us coordinate all. Customizing features with google integration was limited to google style. We need to consider if we will keep these color and style limitations or later build from scratch. There are many benefits with so many users on google to keep as is, we are analyzing financial of labor and upkeep for staying in Google or customizing a new solution.
Each step of the way we are integrating more sophisticated technology to deal with infrastructure, Blockchain, and for recommendations, wellness and ethics, AI & Machine Learning.
Accomplishments that we're proud of
In 24 days we have been able to go from One person on a mission to 5 Leads to 35 Mission Members.
What we learned
Livestream content, Zoom group webinars and other platforms can take time for viewers to get used to. Both hosts and participants have a learning curve to accessing content. We understand limitations and want to also embed an easy way for guide subscribers to access their livestream from GiveLIVE! app or links from personal google calendar.
What's next for Give On Live
Give, Grow, and Build. We are excited to enter various Hackathons and continue to add value to the community with more features and most importantly the interactive livestream content society needs to stay uplifted in this critical time.
1) Keep filling the now LIVE and PUBLIC resource by recruiting more ambassadors, admins, and tech web scrapers to fill the calendar. Our goal is to have an offering of hope every hour in every cluster.
2) Prepare for beta group for Mobile App Pre-Launch. Integrate various games and incentives to acquire the data sets needed to feed our AI & Machine learning GetLIVE Algo
3) In synchrony with the beta launch, continue with customer validation surveys and focus groups to refine UI/UX and AI functions.
4) Launch Mobile App and seek partnerships for specialized subscription based services like conferencing, VR and immersive experiences to continually enhance and meet viewers needs.
As we work to complete the database architecture MVP, we are satisfied in our results and Mobile App. Through continued research we are confident to create a machine learning GetLIVE! algorithm that will fully integrate with the GiveLIVE interface and content database. We plan to continue collecting data points on emotions, geographies, profiles, and historical wellness case studies to make our GetLIVE Algo even smarter. In a time when the entire world is in desperate need for engagement and relief of dangerous mental health triggers like depression, anxiety and loneliness we are determined to offer this solution. As we seek greater understanding of crisis situations, we know for certain the only cure belongs back to the basics of humanity. GetLIVE Algo, through the GiveLIVE platform will guide viewers at home to #GetPhysical, #GetThinking, #GetLaughs, #GetLove, #GetSkills, & #GetFaith. Together At Home, we will take a stand against Covid19.
Built With
amazon-alexa
amazon-pay
ascend
eventbrite
flutter
hyperledger
lex
python
sawtooth
twitter
youtube
Try it out
www.giveonlive.com
youtu.be | G.O.LIVE! LIVEstream Discovery App *STREAM *PLAY *LOVE | G.O.LIVE! The home of livestream; we match individual viewer needs with great content, encouraging users to #GetLIVE & #GiveLIVE for fun rewards. | ['Chinwendu Maduakor', 'ChristyAna Viva', 'hammedb197 Hammed', 'aradhana chaturvedi', 'Saleem Javed', 'Arjan van Eersel'] | ['The Best Women-Led Team'] | ['amazon-alexa', 'amazon-pay', 'ascend', 'eventbrite', 'flutter', 'hyperledger', 'lex', 'python', 'sawtooth', 'twitter', 'youtube'] | 6 |
9,965 | https://devpost.com/software/faco-fight-against-corona-jfcza9 | GIF
Confusion matrix for our final model
INSPIRATION
A diagnosis of respiratory disease is one of the most common outcomes of visiting a doctor. Respiratory diseases can be caused by inflammation, bacterial infection or viral infection of the respiratory tract. Diseases caused by inflammation include chronic conditions such as asthma, cystic fibrosis, COVID-19, and chronic obstructive pulmonary disease (COPD). Acute conditions, caused by either bacterial or viral infection, can affect either the upper or lower respiratory tract. Upper respiratory tract infections include common colds while lower respiratory tract infections include diseases such as pneumonia. Other infections include influenza, acute bronchitis, and bronchiolitis. Typically, doctors use stethoscopes to listen to the lungs as the first indication of a respiratory problem. The information available from these sounds is compromised as the sound has to first pass through the chest musculature which muffles high-pitched components of respiratory sounds. In contrast, the lungs are directly connected to the atmosphere during respiratory events such as coughs, heart rate.
PROBLEM STATEMENT
In this difficult time, a lot of people panic if they have signs of any of the symptoms, and they want to visit the doctor.
It isn’t necessary for the patients to always visit the doctor, as they might have a normal fever, cold or other condition that does not require immediate medical care.
The patient who might not have COVID-19 might contract the disease during his visit to the Corona testing booth, or expose others if they are infected.
Most of the diseases related to the respiratory systems can be assessed by the use of a stethoscope, which requires the patient to be physically present with the doctor.
Healthcare access is limited—doctors can only see so many people, and people living in rural areas may have to travel to seek care, potentially exposing others and themselves.
SOLUTION
We provide a point of care diagnostic solutions for tele-health that are easily integrated into existing platforms. We are working on an app to provide instant clinical quality diagnostic tests and management tools directly to consumers and healthcare providers. Our app is based on the premise that cough and breathing sounds carry vital information on the state of the respiratory tract. It is created to diagnose and measure the severity of a wide range of chronic and acute diseases such as corona, pneumonia, asthma, bronchiolitis and chronic obstructive pulmonary disease (COPD) using this insight. These audible sounds, used by our app, contain significantly more information than the sounds picked up by a stethoscope. app approach is automated and removes the need for human interpretation of respiratory sounds, plus user disease can also be detected by measuring heart beat from camera of smartphone.
The application works in the following manner:
User downloads the application from the app store and registers himself/herself.
After creating his/her account, they have to go through a questionnaire describing their symptoms like headache, fever, cough, cold etc.
After the questionnaire, the app records the users’ coughing, speaking, breathing and heart rate in form of video from smartphone.
After recording, the integrated AI system will analyze the sound recording, heart rate comparing it with a large database of respiratory sounds. If it detects any specific pattern inherent to a particular disease in the recording, it will enable the patient to contact a nearby specialist doctor.
The doctor then receives a notification on a counterpart of this app, for doctors. The doctor can view the form, watch the audio recording, and also read the report given by the AI of the application.
The doctor, depending upon the report of the AI, will develop a diagnosis, suggest medicines, or recommend a hospital visit if the person shows symptoms of corona or other serious condition.
In cases where the AI detects a very seriously ill patient, it will also enable the physician to call an ambulance to the users’ location and continuously track the user.
HOW WE ARE GOING TO BUILD IT
We will take a machine learning approach to develop highly-accurate algorithms that diagnose disease from cough and respiratory sounds. Machine learning is an artificial intelligence technique that constructs algorithms with the ability to learn from data. In our approach, signatures that characterize the respiratory tract are extracted from cough and breathing sounds. We start by matching signatures in a large database of sound recordings with known clinical diagnoses. Our machine learning tools then find the optimum combination of these signatures to create an accurate diagnostic test or severity measure (this is called classification). Importantly, we believe these signatures are consistent across the population and not specific to an individual so there is no need for a personalized database Following are the steps the app will take:
Receive an audio signal from the user's phone microphone
Filter the signal so as to improve its quality and remove background noise
Run the signal through an artificial neural network which will decide whether it is an usable breathing or cough signal
Convert the signal into a frequency-based representation (spectrogram)
Run the signal through a conveniently trained artificial neural network that would predict the user's condition and possible illness
Store features of the audio signal when the classification indicates a symptom
IMPACT
FACO will help patients get themselves tested at home, supporting in areas where tests and access to tests are limited. This will help democratize care in hard-to-reach or resource-strapped areas, and provide peace of mind so that patients will not overwhelm already stressed healthcare systems. Doctors will be able to prioritize patients with an urgent need related to their speciality, providing care from the palm of their hand, limiting their exposure and travel time.
CHALLENGES WE RAN INTO
No financial support
Working under quarantine measures
Working in different time-zones
Scarcity of high-quality data sets to train our models with
One Feature Related Problem- Legal shortcomings we might face when adding the tracking patient feature
ACCOMPLISHMENTS
We went from initial concept to a full working prototype. We got a jumpstart on organizational strategy, revenue and business plans—laying the groundwork for building partnerships with healthcare providers and pharmacies. On the creative side, we built our foundational brand and design system, and created over 40 screens to develop a fully working prototype of our digital experience. Our prototype models nearly the entire app experience—from recording respiratory sounds to reporting to managing contact, care, and prescriptions with physicians. Technologically, we successfully developed an algorithm for disease and have begun the application development process—well on our way to making this a fully functional product within the next 20 days.
You can explore the
full prototype here
or
watch the demo
(and
check out our promo gif
)!
WHAT WE'VE DONE SO FAR
We wanted to show that the project is feasible. Scientific literature has shown that audio data can help diagnose respiratory diseases. We provide some references below. However, it is unclear how reliable such a model would be in real situations.
For that reason, we used a publicly available annotated
dataset
of cough samples:
It is a collection of audio files in wav format classified into four different categories.
We wrote code in Python that converts those samples into MEL spectrograms. For the time being we are not using the MEL scale, just the spectrograms. We did several kinds of pre-processing of the signals, including data augmentation, then convert all pre-processed signals, along with their categories into a
databunch
object that can be used for training artificial neural networks created in the fastai library. The signals within the databunch were divided into training and validation sets.
Because the dataset size was reduced, we used
transfer learning
. That is, we used previously trained networks as a starting point, rather than training from scratch. We treated the spectrograms as if it were images and used powerful models pre-trained to classify images from large datasets. In particular, we tried both two variants of
resnet
and two variants of
VGG
differing on their depth (number of hidden layers). This approach implied turning the sprectograms into image-like representations and normalizing them according to the statistics of the original dataset our models were trained on (imagenet). We first changed the head of the networks to one that would classify according to our categories and trained only that part of the net,
freezing
the rest. Later on we
unfroze
the rest of the net and further trained it. We finally compared the different models by the confusion matrices that we obtained from the validation test. We finally settled on a model based on
VGG19
. We exported the model for later use in classifying audio samples through the pre-existing interface of our mobile app.
The results are promising, especially considering the small amount of data that we have available at this moment. We have included an image of the final confusion matrix that shows how our current network can correctly classify all four categories of signal about 50% of the time, far better than the random level of 25%. We conclude that wav files obtained trough a phone mic provide information that can be useful for diagnosing respiratory condition. We are confident that we can vastly improve both the sensitivity and the specificity of our model if we can gain access to larger, more representative datasets.
We provide an image of the final confusion matrix for our model in the gallery.
This is a
repository
that contains the most important pieces of our work, including some code, the confusion matrix image and the exported final model.
SUMMARY
We are developing digital healthcare solutions to assist doctors and empower patients to diagnose and manage diseases. We are creating easy to use, affordable, clinically validated and regulatory cleared diagnostic tools that only require a smartphone. Our solutions are designed to be easily integrated into existing tele-health solutions and we are also working on apps to provide respiratory disease diagnosis and management directly to consumers and healthcare providers.
Feel free to click on our
website
for more information. We developed this website using Javascript, HTML, CSS, Figma, and integrated it with Firebase to manage hosting and our database. Thank you for reading, and don't hesitate to reach out if you have any questions!
REFERENCES
Porter P, Claxton S, Wood J, Peltonen V, Brisbane J, Purdie F, Smith C, Bear N, Abeyratne U,
Diagnosis of Chronic Obstructive Pulmonary Disease (COPD) Exacerbations Using a Smartphone-Based, Cough Centred Algorithm, ERS 2019, October 1, 2019.
Porter P, Abeyratne U, Swarnkar V, Tan J, Ng T, Brisbane JM, Speldewinde D, Choveaux J, Sharan R, Kosasih K and Della, P,
A prospective multicentre study testing the diagnostic accuracy of an automated cough sound centered analytic system for the identification of common respiratory disorders in children,
Respiratory Research 20(81), 2019
Moschovis PP, Sampayo EM, Porter P, Abeyratne U, Doros G, Swarnkar V, Sharan R, Carl JC,
A Cough Analysis Smartphone Application for Diagnosis of Acute Respiratory Illnesses in Children, ATS 2019, May 19, 2019.
Sharan RV, Abeyratne UR, Swarnkar VR, Porter P,
Automatic croup diagnosis using cough sound recognition, IEEE Transactions on Biomedical Engineering 66(2), 2019.
Kosasih K, Abeyratne UR,
Exhaustive mathematical analysis of simple clinical measurements for childhood pneumonia diagnosis, World Journal of Pediatrics 13(5), 2017.
Kosasih K, Abeyratne UR, Swarnkar V, Triasih R,
Wavelet augmented cough analysis for rapid childhood pneumonia diagnosis, IEEE Transactions on Biomedical Engineering 62(4), 2015.
Amrulloh YA, Abeyratne UR, Swarnkar V, Triasih R, Setyati A,
Automatic cough segmentation from non-contact sound recordings in pediatric wards, Biomedical Signal Processing and Control 21, 2015.
Swarnkar V, Abeyratne UR, Chang AB, Amrulloh YA, Setyati A, Triasih R,
Automatic identification of wet and dry cough in pediatric patients with respiratory diseases, Annals Biomedical Engineering 41(5), 2013.
Abeyratne UR, Swarnkar V, Setyati A, Triasih R,
Cough sound analysis can rapidly diagnose childhood pneumonia, Annals Biomedical Engineering 41(11), 2013.
FACO APP VIDEO DEMO
LINK
FACO PRESENTATION
LINK
FACO 1st Pilot Web App
LINK
Built With
android-studio
doubango
fastai
firebase
google-cloud
google-maps
java
machine-learning
mysql
numpy
pandas
python
pytorch
sklearn
sound-monitoring-and-matching-api
spyder
webrtc
Try it out
github.com | FACO: Fight Against Corona | A contactless digital healthcare solution to assist doctors and empower patients to diagnose and manage diseases | ['Archit Suryawanshi', 'Oghenetejiri Agbodoroba', 'Ntongha Ibiang', 'Sahil Singhavi', 'Ruthy Levi', 'Navneet Gupta', 'Mohamed Hany', 'Prachi Sonje', 'GAVAKSHIT VERMA', 'Shraddha Nemane', 'snikita312', 'Gauri Thukral', 'udit agarwal', 'Francisco Tornay', 'Rubén Aguilera García'] | ['1st place', 'The Best Women-Led Team'] | ['android-studio', 'doubango', 'fastai', 'firebase', 'google-cloud', 'google-maps', 'java', 'machine-learning', 'mysql', 'numpy', 'pandas', 'python', 'pytorch', 'sklearn', 'sound-monitoring-and-matching-api', 'spyder', 'webrtc'] | 7 |
9,965 | https://devpost.com/software/medical-blockshare | Health record
CLI
Inspiration
We were motivated by how data could be shared securely on the blockchain and that the medical field lacks such technology to handle data. This is effective in that a medical record is owned by exactly one person at a time. The owner of the medical record of a patient is by reading the ledger and following the transaction for his/her ID
What it does
Medical-BlockShare uses the IPFS to have a shared, decentralized file system containing all the medical records.
Access to a medical record can then be requested using a transaction on the blockchain, permission is given likewise.
The use of the blockchain allows the file-sharing system to be supervised.
How we built it
We came together and discuss the ways and ideas on how we could build a platform using blockchain that can bring an impact to the community. We decided on this project and we gave ourselves time to study. After two weeks of studying we embarked on coding. We divided the task according to strength it worked out nicely.
Challenges we ran into
We add little or no knowledge about blockchain but we were able to learn from the internet resource and the thanks to the organizers' deadline were pushed forward.
Accomplishments that we're proud of
We are proud that even though there were a lot of challenges we were able to create an MVC that will help during and after the pandemic.
What we learned
We learned a lot about blockchain and collaborating together despise the pandemic,
What's next for Medical-BlockShare
Creating frontend UI to be fully deployed.
Built With
blockchain
cli
ethereum
javascript
node.js
solidity
wallet
Try it out
github.com | Medical-BlockShare | A distributed file-sharing system for medical services.It combines the powers of blockchain technology and the Interplanetary File System. | ['Dickens Juma', 'Patrick Nyatindo', 'Cyrus Kiprop'] | [] | ['blockchain', 'cli', 'ethereum', 'javascript', 'node.js', 'solidity', 'wallet'] | 8 |
9,965 | https://devpost.com/software/cbi | Inspiration
Around half of the world’s population of 6 billion people live on less than $2.50 a day. Of these, more than 1.3 billion live in extreme poverty on an amount less than $1.25 a day. Using a commonly held metric of 'evil', people who go to prison tend to come from a lower socioeconomic status than their peers who are not deemed guilty by the criminal justice system. Education and opportunity are the great enablers that can lift these individuals out of the poverty cycle and prevent others from falling through the cracks.
Hence, CBE is envisioned to be an app that will connect educators to students with the desire to solve one part of the equation that will enable these individuals to lead better lives.
What it does
CBE is an app that will connect educators to students, allowing educators to interact with students via video link and share files with each other.
How I built it
This app is work in progress.
Challenges I ran into
It was difficult trying to integrate the services together, especially since this was my first time attempting to build an app.
Accomplishments that I'm proud of
NA
What I learned
Coding is hard.
What's next for CBE
It is intended for CBE to be tested out in the Singapore market.
App Access (Currently not available):
The app can be accessed here:
https://snappy.appypie.com/index/app-download/appId/7dd48a30f648
Let me know if there are any issues.
*Note: The video is not entirely reflective of the current app
Built With
appy-pie
Try it out
snappy.appypie.com | CBE | Can't be evil. That hinges on a good education. Hence, Continuous Brain Enrichment is born in order to educate individuals one at a time towards a world that cannot be evil. | ['winston law1'] | [] | ['appy-pie'] | 9 |
9,965 | https://devpost.com/software/fakecheck-2kzvbc | Making the World More Informed
Our Rating's System
The User Process
Fake News is a serious health, safety, and security problem
A compass for the truth
The current crisis has brought along a whole wave of misinformation to the world through various sources. Misinformation among the public regarding the health-related facts have caused instability in the world during this current pandemic. Other political issues and problems have also been negatively affected by misinformation in social media and the news. With this project, we hope to give a platform for the truth to spread resulting in the healing of the world.
1. The Problem our Product Will Solve
As the world becomes more globalized, news and media polarizes the masses to greater depths with every major event, revolution, or social-impact movement. The grout among the bricks of the world's events is digital media - news articles, rapid-growth posts, videos. The problem is, with the incredible pace these media spread, nobody fact checks their authenticity, leaving many with the potential to spread harm or fear through misinformation.
The first step is to eliminate Fake News before it wreaks its havoc.
Issues with the Present Approaches:
A Lack of Fire Power: Current fake news detectors or ratings agencies make use of academic scholars with special expertise in their respective areas of study. This means that while you may get a deep analysis of a political piece of media, for example, you won't have this review done quickly, it won't appeal to the average person, and this method is limited by the physical hours fact-checkers can work.
Fact-Check Privilege: The fact is, most fact-checking sites are English-language based only. That means primarily U.S., Canada, and U.K. based, with support only for those English-speaking communities. People who suffer from the wrath of misinformation - whether it be false health advice, targeted propaganda, or plain frauds often do so in countries where English is not spoken, and so don't have the privilege of being able to check the validity of their own media as alerts, in real-time.
We have built FakeCheck to bring the globe world-class, alert-ready and honest fact-checking that is intuitive, and easy for everyone to understand, regardless of their background. We also paired our tech with business value in mind, with a value-multiplying insight platform for businesses to better understand their brand image, and perceived value to their customers around the world.
We make income for development and growth by serving personalized ads based on users' tastes in news - something that is incredibly powerful, as well as charging for-profit businesses to gain value-multiplying insight from our platform on how their brands and banners are perceived.
**
What is FakeCheck?
**
We built a crowd-sourced media fake-news detection platform that puts the user and their media first, while protecting anonymity to alert the world of fake news before it spreads and causes damage.
We make use of the value and well-thought technology as well as other great companies and the best tech to create a platform that is user-launched, and a true butler to its boss; the user!
Our Rating's Process:
And our user flow below:
How Does it Work?
Our process works as follows:
*1. Users have a piece of media they want to check a rating for, or rate itself for fake news.
They go to our site and intuitively paste their link into our engine, which is the most prominent feature on our home-page.
If prior crowd-sourced ratings exist, the user immediately sees our curated, and published ratings for that media, based on our users' input and proof.
We prompt the user, if they have the aptitude, to rate the media as well, as long as they have insight that may work in support of the media, or equally, against its truth-fullness, we respect their voice and let them share it. We process their queries, and build and internal score we wish to publish.
Once our confidence metrics are met, we update a newly published rating for the media and classify and link it to other similar cases for users to see. We constantly adapt, just like a real business has to, to make use of the effort and insight of the world's user-base to republish.
We alert any watchers, or users who gave ratings of new published updates by us, so they are constantly in the know, and can rely on being kept in the light instead of the dark, on the news, regardless of where they may come from.
We provide businesses with insight, based on alerts happening around the world related to fake news detection or negative sentiments and classified to their names to show their brand is recognized by users across the world, helping them improve and adapt.*
**
This Competition, The Challenges, and Our Impact:
Through this competition we wish to strive for an award because we believe our platform will make use of an incredible software suite based on live alerts to address a worldwide crisis of misinformation - the infodemic!
We have been inspired by the current influx of fake news we see everyday around the world to try and do something about it - the challenge comes from just how many people are misinformed and the speed at which it happens.
We want to win in these challenges because we want to grow - we hope to use the prizes to help grow this idea to fruition to a point where we are able to make progress using the website's income from advertisement revenue. Something that is so under-implemented among the tech and news society today, this concept has the potential to strike rapid growth in the ratings space for media, and help mitigate fake news' wrath altogether, by empowering the individual user to check their media easily.
Built With
django
graphql
python
react
typescript
Try it out
github.com | FakeCheck | A crowd-sourced platform to identify fake media | ['Jason A.', 'Solomon Kent Paul', 'Jadon Fan', 'chandlerlei2017 .'] | [] | ['django', 'graphql', 'python', 'react', 'typescript'] | 10 |
9,965 | https://devpost.com/software/afedu | Inspiration
Our every own George explains our inspiration
here
.
258 million
children ages 6-17 are not in school globally.
A few barriers to education for school-age children include:
Having no teacher, or having an untrained teacher
A lack of learning materials
Being the ‘wrong’ gender
The exclusion of children with disabilities
We found VR a good solution to break the barriers through providing a
virtual safe space
for students regardless of
where they are
,
who they are
, and
what kind of knowledge
they would like to learn.
What it does
Virtual reality based interactive educational contents stored on an offline VR headset provides
Digital learning materials that are independent of internet connection
Access to top quality educational materials any time and anywhere
Individualized learning pace and methods
Interactive safe learning environment
How we built it
The proof of concept platform was built via a combination of live 360 video, Unity and the hardware used was Oculus Go.
Challenges we ran into
Making sure the rendering capabilities of the software and the hardware matched up.
Converting analog content into digital
How to make the learning experience reactive for each user
Accomplishments that we are proud of
We managed to get a working proof of concept going with a VR device device not supported by an external graphics device – a former limitation for VR
We have partners who are excited to be involved with our project from a content point of view and believe in the merit of the project.
What we learned
We learned a lot about Unity and the capabilities of the language
There are unknowns about teaching children in a VR environment, and each child's needs could be different depending on their unique situation.
What's next for Virtually Assured
We would like to get further developers involved in helping us expand our proof of concept
Partner with organisations promoting education in specific areas
Examine the difference between educational and vocational learning needs
Built With
unity | Virtually Assured | Using VR to break down barriers to education in developing countries | ['Jenny Jingyi Peng', 'Rishabh Gupta', 'George Nettleton', 'Maximilian Mayr'] | [] | ['unity'] | 11 |
9,965 | https://devpost.com/software/no-loss-fundraising | Inspiration
Fundraising environment of startup company has been getting worse by COVID19 effects.
That's why I try to make new option for startup company to fundraise.
What it does
【Introduction of No Loss Fundraising for Startup Company with AAVE📈】
This is a dApp for startup company to provide new option of fund-raising.
This is a dApp that no loss fundraising platform for startup company.
Any starup company can publish their company profile for appeal to fund-raise.
Only user who deposited can vote for a favorite company profile of startup.
Deposited amount from users is pooled and lended into lending-protocol (AAVE). After interests are generated.
Generated interests is distributed into startup(company profile) who got the most voting count.
(Deposited amount will be lend again for next voting round)
How I built it
How to utilize AAVE.
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for No Loss Fundraising
Built With
aave
Try it out
github.com | No Loss Fundraising for Startup Company | This is a dApp for startup company to provide new option of fund-raising. (By using AAVE) | ['Masanori Uno'] | [] | ['aave'] | 12 |
9,965 | https://devpost.com/software/univers-ai-against-covid-19 | Inspiration
Iuliiana Unesikhina,
I have a Master of Business Administration and Finance from Economic Academy and Executive FinTech Innovation Global Banking Program of Columbia BS University background.
My extensive experience in Global Capital Markets, Investment Strategies, and Digital Transformation brought me to the intention to architect an Infinite Algorithm to ”uni” and ”verse” each on the planet to harmony world. Taking the fight to COVID-19 is all about real-time problem epicenter identification and sustainable individual continuous support and care distribution. It is also quickly sharing and addressing the right information. But how do you do this? Where there are more than a dozen languages? How do we cross the political and hierarchical borders? How to help a poor person in the remote region?
To create a universal computing space of solving process dynamic networks allows us to simultaneously use and manage it on any viewpoint, from the government and global policy organization until the poor and uneducated individual. It is what we need to take the fight to the COVID-19 because it is a visual manifold of the current situation for decision making, with a unified way of personal using and interacting globally.
This technology on idea stage level, hypothetically, we use desensitized web as a dynamic graph database with Convolution NeuralNetwork patterns and pixel stream communication.
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Univers.AI against COVID-19
Try it out
univers.cryptochicks.ca
drive.google.com | Univers.AI against COVID-19 | Universal reimagining HARMONY-SEEKING SOLIDARITY Computations UNIVERS.AI dynamic network | ['Iuliiana Unesikhina'] | [] | [] | 13 |
9,965 | https://devpost.com/software/delessco-0gealw | We aim at designing an online app for a more efficient delivery of essentials (food and medicine) to vulnerable people who cannot travel outside during the COVID-19 outbreak. Essentials would be collected from local pharmacies and grocery stores within reasonable vicinity, where the app would also convey updates on the supplies of essentials.
Our app would closely resemble to the functionalities of delivery software systems such as Uber and Deliveroo, where it would match the requests for essentials from vulnerable people to the availability of volunteers willing to deliver them and that of the shop supplies. It will make use of local government to determine who registers as vulnerable people to ensure fairness and safety. This app would hold key information of these users such as the residential addresses of the vulnerable people and the volunteers as well as providing options to the volunteers with their choice of covering geographic areas and days available to help.
The feasibility of the business is certified via the free-of-charge contactless delivery of the essentials. The incentives offered to the delivery people through virtual coins are guaranteed grace to key partnership and sponsorship. Our app ensures safe monetary transactions via cryptography as well as GDPR compliance to protect our users’ identity and sensitive info. We can quantify positive impact through app on the financial area, adding revenues to local groceries, health or social domain due to the convenience of e-commerce.
This way, the app can help vulnerable people obtain essentials they need without travelling outside based on the resources available as an approach to curb the spread of COVID-19 by reducing individuals circulating the community.
Built With
dart
firebase
flutter
Try it out
github.com | Delessco | Our app would apply functionalities of delivery software systems such as Uber, where it would match the requests from vulnerable people to volunteers willing to deliver them along with shop supplies. | ['Alexandra Irimia', 'alexyorkstar', 'Dylan Hoi', 'Aakash Baranwal'] | [] | ['dart', 'firebase', 'flutter'] | 14 |
9,965 | https://devpost.com/software/infinity-of-univers-ai | Inspiration
My inspiration is inexhaustible potential for people’s wellbeing with Harmony Seeking Computation. Algorithm 'Infinet gives the ability to create radically new relationships/markets balanced ecosystems and enables everyone with universal individual AI.
What it does
The Tech Model is to Automate Multitask solutions for complex systems from the variety hierarchy points of viewing (using). It creates a universal computing space of solving issue processing dynamic networks, allows simultaneously use, and manages it on any viewpoint by governments, global policy organizations til the individual person. It is aggregated dynamic information for your observations and interacting.
Universe.AI enables users with like a satellite monitoring which identifying the epicenter of problems and addressing necessary sources.
Univers.AI represents the Public Place of your interest to find opportunities and match the interest, and the Personal Space for your processes/transactions continues tracking. It excludes any intermediate as lever/token/crypto and limitations, it acts only on pure desire matching with full networking accordance. Dynamics CRM for individual usage.
The cognitive architecture of Univers.AI for Abstraction, Alignment, and Cognition.
It is United Coordination for Decentralising Individual Leadership.
How I built it
To built Univers.AI there are two keys of innovative foundation:
📍Unite Verse - Database of Dynamics. Database of not a state but Continuous Processes data. The visual continuous imaging action, process, evolution as a data unit for this database of dynamic Univers.AI.
We are familiar with a fix, static data component information, and always trying to improve the managing of using the database. Here in Univers.AI not the facts, but their developments are manageable.
Complex Dynamics under your control.
📍Infinite Verse - Networking of Networks. Continuous full connecting by the compound axis of dynamic data processing. Infinitely networking system of life’s acting achieved with geometrical succession hierarchy.
Software Universe visual virtualization as an AGI of a simultaneously coordinated network, where pattern/process processing units: 1)the full circuits of a data warehouse, 2)the network of systems, and 3) the decision-making engine in one.
Zoom in and out navigation, drill down into grassroots level out the particle, or opposite up to super-high singularity information’s dynamic spaces. It represents the visual volumetric cosmic systems of emerging with 'Infinit algorithm automation dynamics for processes evolution against the substantial incoordination or destructive events.
How
Scope, simplicity, and predictivity. With the implementation of a computational "uni-cod linguistic system" between and inside of IT and human systems. It became the tech model that attempts to parse human events and its continuous processes by mapping it into reasoned on by AI and human knowledge. Which at the same time used to guide search engines to do the more intelligent search. The cognitive synergy of various aspects of mind and intelligence unified in one way supports each other in a natural interaction as the human brain and mind do.
It provides the simplified using adapted for retails, by visual imagining and interfacing for comprehensive observation of any type of user.
Visual volume Graph DataBase based on Convolutional Neural Network system potentially using pixel and hologram bases principles
Challenges I ran into
Since Univer.AI is not a mono-product but a complex solution, which core is the large volume of benefit's value and it's cognition, it is really hard to give a review, a pitch for the audience. Briefly you able only to say that it is a new protocol for the Innovative policy chain. However, it is very curious and promising’ since still any fault hasn't been found in the theory.
Accomplishments that I'm proud of
I am proud of the treasury's knowledge I have obtained while researching on my way of Univers.AI development and interesting people, professionals, I have the luck to meet and work with. I am looking forward to inspiring and explore more and proud to bring help people.
What I learned
I learned that even though the Global Capital and Finance Markets have higher efficiency and coordination as an ecosystem and the implementation of the new model is much easier there, to create human valuable and world-encompassing technology is important to be out of it and of any other dependency.
What's next for Infinity of Univers.AI
Short term - it is the technology developing, team settings, and then new Free Education crowdfunding online platform construction.
Longer-term - is the creating Ecology Damage Matching Marketplace and Humanitarian Projects Ecosystem as next Univers.AI galaxies.
Try it out
univers.cryptochicks.ca
docs.google.com | Infinity of Univers.AI | 🌐 Infinite Unite Verse 🌐 To enable everyone in Planet contribute to and benefit from AI. Database of Networking Dynamics. Infinite possibilities and total ♾ Harmony ♾ Seeking Computation | ['Iuliiana Unesikhina'] | [] | [] | 15 |
9,965 | https://devpost.com/software/liam2 | Inspiration
LIAM KIDS story is an inspiring one, it is inspiring because of two reasons, the first being novelty and the usefulness of the platform during COVID19 pandemic but also it is inspiring because of the diversity of the original team who has built the platform.
LIAMKIDS.COM AS A PLATFORM
LIAMKIDS.com is an online platform that aims to reward and gamify education in a way that it will allow kids and adults
LEARN, EARN, CREATE, SELL AND BUY THIER CREATIVE ACHIEVEMENTS
Students all around the world stopped attending school and they are suppose to study through remote education (Online, or using TV). Many students somehow, they stopped schooling entirely, they do not have the motivation to study online and somehow they lost the education discipline that happens in schools . Feras has asked his cousins if they continued their education through online website or TV broadcasts, and they responded "NO".
Feras felt there is an entire generation that might miss a semester or at least get an educational disruption, it is not only that but even many people stopped working and they are staying at home and somehow they have plenty of free time and they are not motivated to carry on with upgrading their skills.
THIS MUST STOP, THIS MUST CHANGE - THIS IS WHY WE HAVE BUILT LIAM!!!
What it does
LIAM is : 5th Generation of Blockchain Schools: An Online Learning and Creativity Platform that Allow Kids to Learn, Earn, Create, Sell and Buy their Creative Achievements
It aims to solve the problem that evolve around the facts
Kids do not like homeworks Kids do not like studying But Adults also face a challenge in terms of continuous education.
It is a A MOTIVATION BOOSTER - because it brings a gamification and a rewarding experience. It all happens in the APP. The Business Process starts with students log to the platform attend a course and because of that they earn LIAMS, those LIAMS can buy digital assets (that was created by other students, to earn LIAMS you must be attending courses or selling your creative digital assets).
LIAMKIDS TEAM STORY, HACKSPRINTS and MORE
Feras Naser was disturbed by the number of deaths and infected people with corona virus around the globe, somehow he come across a news article that is talking about COVID19 - Global hackathon, he is a strong believer of the impact of technology, so he decided to participate in this great global attempt to fight corona virus with technology.
He register in his first hackthon, send a projects proposal document to a group of the hackthon participants hoping to be able to build a technological solution for this challenge. He was surprised by the number of responses he got, a diverse responses from distant geographical locations of young people who are willing to participate to fight this global challenge.
Ahmed Tikiwa from South Africa. Sid a student in Canada, Eric Malaba from Uganda, Mohammed Thaseel from India, Joshua Odoi from Ghana. **This was the first hack sprint team, Feras continued working on the project for eight consecutive hack sprints, a hack sprint is 3 days weekend period.
Those wonderful young people have come together work around 9 hours a day for 4 consecutive days, (The first hack sprint) and build an almost ready solution. This was unbelievable story for all the team members, how a group of young people who did not meet each other before, come together and work tirelessly to build a solution that mitigate the corona virus impact. THIS WAS A TRUE INSPIRATION. IT IS A WONDERFUL STORY, Feras talk about this in details in his video...Feras aims to build on this story by continue on building LIAM through his enhanced methodology of hack sprints.
Watch the full story in the underneath link
LIAM KIDS STORY
How I built it
We have built the orignial platform using MERN ( MongoDB, EXPRESS, REACT and NODE) in addition to a mobile app that was developed using Android, we have experimented with Etherieum and solidity.
As COVID19 was putting a pressure on having a live platfrom as quickly as possible, we have shift to a ready made wordpress theme, however we have done significant contributions to the design of the theme, the content included in the website and having a smooth LIAM transactions on the website that people can use at an early stage.
We have managed to build a userbase of around 17 people, and we have managed to have one user collecting 1000 LIAMs and utilizing them in the LIAM market by buying a gaming asset (V-Bucks).
Challenges I ran into
TEAM BUILDING AND ORGANIZATION CHALLENGES
1- While it was easy to gather the team and motivate them to work for the first hacksprint, it was difficult to get their commitment for the long term.
2- It was also hard to build adequate level of trust among the team members online to be able to be actually working as startup team.
Technical Challenges
1- While it was possible to learn new technology, it was very hard to apply to the level it required by the vision and the specified features mentioned in the original vision. (Including gamification, digital currency a blockchain application and Machine Learning Systems).
Operations Challenges
1- Calculating the courses points for the users and rewarding them was a highly manual operation. This has put additional work on the team.
2- Also engaging with partners and investors to contribute to the platform was a difficult one.
Marketing Challenges
1- While we made sure that we do not come across as another Elearning website, we still was very far from having a viral marketing message.
Accomplishments that I'm proud of
1- I am very proud of the vision : It still can be a very useful solution for many economical challenges that is going to happen in the near future, it also acts as a catalyst for creativity.
It is novel, interesting and ambitious
2- I am very proud of our team, group of young people coming from all around the world to fight a global challenge, during POST covid era, we will see new kinds of tensions,
global stories like this one, really help to push the world in the right direction of harmony, unity and solidarity
.
3- I am proud of our platform, it is used, tested, useful. It has a good design and many useful content. We really hope this work to be carry on with this project and to hand it over to some of the best young leaders in the world.
4- I am proud of the people we have met along the way....
5- I kind like the domain too
www.liamkids.com
What I learned
1- I have learnt about MERN Stack.
2- I have learnt about Machine Learning system in production.
3- I have learnt about solidity.
4- I have learnt about Figma, Adobe UX and many others.
What's next for LIAM
LIAM still has many many aspects to be fulfilled, including:-
he challenges that we will be going through
1- Building the Platform to the right level of detail and acceptable design. (Continuous Task!!)
2- Making an exceptional user experience that match game playing.
3- Linking the school to a digital currency or creating one.
4- Building the right AI systems that can support the learning experience and enhance creativity, engagement and learning.
5- Building the privacy preserving tools. (this can range from using a blockchain system that can be efficient enough)
LIAM is going in two scenarios and the team members will pursue those scenarios with full passion. 1- LIAM will pursue the vision of becoming a global company with an impact on COVID19 - the team has prepared their solution and pitch deck. They have an investment ask of 3 million dollars as an exchange of 15% of the company and they are expect a 300 million dollars in revenue in 3 years with 30 million users.Please let us know if you are in an investor?! - Also, we are keen on bringing more people to the TEAM..
AI SYSTEMS AND BLOCKCHAIN
Well, we cannot say that there is a clear AI or blockchain element in LIAMKIDS.com except the centralized digital currency which was very much similar of what facebook was intending to build.
The full details about some of the coming AI and Blockchain system that will be included in the platform can be seen in the underneath link.
LIAMKIDS.com Blockchain and AI SYSTEMS
Built With
monogodb
node.js
react
wordpress
Try it out
www.liamkids.com | LIAM2 | LIAM: A 5th Genetation of Blockchain | AI Schools that Will Allow Kids To Learn, Earn, Create, Sell and Buy Their Creative Achievements. | ['Feras Naser'] | [] | ['monogodb', 'node.js', 'react', 'wordpress'] | 16 |
9,965 | https://devpost.com/software/univers-ai-vs-covid-19 | Inspiration
In the COVID19 crises, my inspiration and idea are Interactive Novigative Visualization Universe to enable Everyone on the Planet to contribute to and benefit from AI in the pandemic uncoordinated mess.
What it does
This Tech Model is to Automate Multitask solutions for complex changeable circumstances and systems from the variety hierarchy points of viewing (using). It is aggregated dynamic information for your observations and interacting in the universe visualization.
Univers.AI responsive visualization ecosystem for hundreds of calls worldwide
for immediate address thousands of problems directly and indirectly resulting from the pandemic.
How I built it
Objects (tracking’s of the individual human process) are presented in the form of information’s visual next-gen interactive blocks, the content of which determines their timing parameter by location on the virtual space visual database and properties by color (pixel on the virtual space visual database). This technology is on idea stage level, hypothetically, to be used the desensitized web dynamic graph database Convolution NeuralNetwork patterns and pixel stream communication. Everything and everyone is in a causal relationship with each other
(by using Graph Database; Convol/ Neural Net).
Challenges I ran into
Since Univer.AI is not a mono-product but a complex solution, which core is the large volume of benefit's value and it's cognition, it is really hard to give a simple explanation review for mixed audiences and to create a team. Briefly only to say that Univers.AI a new protocol for the innovative policy chain, however, it is much more curious and promising’, and still any fault hasn't been found in its theory.
Accomplishments that I'm proud of
I am proud of the treasury's knowledge I have obtained while researching on my way of Univers.AI development and interesting people, professionals, I have the luck to meet and work with. I am looking forward to inspiring and explore more. The most of all I proud ability to bring help people.
Accomplishments that I'm proud
to bring idea which enables at once :
1) to process not static but dynamic data;
2) personal and/or mass systems;
3) instant responses the ultra-low latency interaction;
4) unprecedented speed;
5) connections everywhere;
6) universal comprehensive for any individual;
7) to adjust the balance;
8) to change society.
I am proud that Univers.AI is to bridge and sustain human being's systems by making the invisible global enemy COVID19 to be visible for all of us in the Planet. I believe Univers.AI would make possible to unite global coordination with shared leadership to exclude pandemic and enforce evolution.
What I learned
What's next for Univers.AI vs COVID-19
Ahead is the creation this universal computing space of problem-solving processes dynamic networks. Searching. Team building. Happy to know that it works and serves from start point.
Try it out
univers.cryptochicks.ca
drive.google.com | Univers.AI vs COVID-19 | Univers.AI Visual Interactive Human Navigation in the experience against pandemic COVID-19 | ['Iuliiana Unesikhina'] | [] | [] | 17 |
9,965 | https://devpost.com/software/coronout-r27mhk | Inspiration
To build a Tracker to Help During The pandemic
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Corona Traker
Built With
android-studio
dart
ethereum
figma
firebase
flutter
gcp
github
gradle
matic
node.js
Try it out
drive.google.com
drive.google.com | Corona Traker | Virus OUT, Safety IN | ['Hrithik Sahu'] | [] | ['android-studio', 'dart', 'ethereum', 'figma', 'firebase', 'flutter', 'gcp', 'github', 'gradle', 'matic', 'node.js'] | 18 |
9,965 | https://devpost.com/software/covid-bot-9m8xh6 | Front View of the Bot
Side View of the Bot
Electrical Circuit Diagram
Connecting The Software With The Hardware
Getting Started With The Hardware
Inspiration
During the COVID-19 pandemic, it has been observed that health care workers saw a high infection rate. A majority of these workers are sanitization experts whose job was to disinfect the hospital beds, floors, utensils, etc. During these times, it is vital for those who have the power to help us snap out of this crisis to remain safe. This project is our plan to protect the lives of thousands of health care workers, their families, and the communities they reside in or come in contact with.
What it does
This COVID Bot is an autonomous obstacle avoidance robot that sanitizes the hospital floors and the lower part of the walls through the use of germicidal UV light and cleans the floor surface with a mini mop.
How We built it
This sanitization bot uses Arduino Uno to fulfill its autonomous feature. It is fitted with ultrasonic sensors to detect the obstacles in front of it and motor drivers to control the speed of the rear wheels of the bot separately. By controlling this speed, we can rotate the bot by 180 degrees when it detects an obstacle a quarter meter in front of it. UV Germicidal strips are fitted at the edges as well as below the chassis to sanitize the surroundings. The bot is designed to stop after every 1 meter for a short pause to ensure efficient sanitization. Behind the bot, a small rag may be attached to clean the surface. The simplistic design of the bot makes it cheap for mass production.
Using the Arduino Uno, we built an obstacle avoidance robot using ultrasonic sensors and motor drivers alongside a few DC Motors.
Challenges We ran into
Abhijeet is in Madison while I'm in Mumbai. It was challenging for us to make the team, work effectively given the difference in our timezones. Co-ordination became difficult but we were eventually able to overcome with a more flexible schedule for both of us.
It was also difficult to arrange the hardware components since both the countries were observing lockdown and shops and websites were only selling essentials.
It was most difficult, however, to fine-tune the code based on the Bot's response. I would have to write the code and share it with Abhijeet who would click videos of the bot's performance. I would then have to judge, from those videos, how the code can be improved.
Accomplishments that We're proud of
This bot is just what we wanted to build when we started making it. It is fully automated and has a great obstacle avoidance rate. Aside from super small objects, it can avoid everything. This is a great step to making its introduction in a real use environment.
What We learned
Along the way to build this bot, we got to explore several key hardware components and got to use a completely new language.
Moreover, we also learned how to communicate with each other effectively and work as a team, irrespective of the distance between us and the co-operation expected of us.
What's next for COVID Bot
The COVID Bot is only fully automated. However, to make it user friendly we aim to provide remote control to it. The bot will also have a camera to picture the surroundings to allow it to be controlled without a physical visual necessity. This added feature will let the hospital management decide whether it's better to control the bot from a remote location or if its safe for the bot to be autonomous.
We aim to donate these bots, starting from our nearest hospitals to curb the contact the sanitation workers come in with the COVID-19 patients.
First Person: Gautam
Built With
arduino
dc-motor
driver
mop
sensor
ultrasonic
ultravoilet
Try it out
github.com | COVID Bot | Do you know how many sanitation workers work in your nearest hospital? Don't you think its time we consider their safety too? | ['Gautam Agarwal', 'abhijeet manohar'] | [] | ['arduino', 'dc-motor', 'driver', 'mop', 'sensor', 'ultrasonic', 'ultravoilet'] | 19 |
9,965 | https://devpost.com/software/irrigate | no | no | no | ['raphaelpg Raphael Pinto'] | [] | [] | 20 |
9,965 | https://devpost.com/software/probiotics-will-heal-our-future | Probiotics: we need them
Probiotic City, the green healthy future
Inspiration
The rapid diffusion of Covid-19 and the initially very slow reaction of the public authorities in approving the appropriate measures have delayed the start of the lockdown while the sanitary congestion has inevitably overstressed the management bodies of all the public services.
The state of health emergency has brought about a significant breakthrough in the social living, the work methods and the social approaches in general.
The cleaning concept in its widest applications such as floors, surfaces, toilets, and the wastewater treatment in housing applications as sewages, kitchen sewages or can thus produce a completely new approach. A serious crisis on the wane could now turn to the new dawn of an environmental breakthrough.
The worldwide disruption of Covid-19 has caused several impacts on environment and climate; the decline in air, sea and ground travel has led to a significant drop in air pollution. Lockdown and quarantine have thus strengthened the awareness of the role of green economy, the importance to count on biologically based products instead of rough aggressive chemicals in all the production scale of international economy.
What it does
Probiotic blends can be added to several kind of cleaning formulation and applied in the cleaning of several indoor areas, starting from the cleaning of floors, hard-porous surfaces and all kind of sewages and septic tanks. Good microorganisms work on encrustations, organic stains, deposits in pipes, ducts and sewages. Microorganisms previously formulated in a green eco-sustainable cleanser, conveyed by the surfactant, will reach organic substances and waste, even in hidden places.
Beneficial microorganisms penetrate deeply into surfaces and degrade deposits, stains and organic matter, always source of bad smells, potential contamination, insects and pathogens. Beneficial bacteria contained in cleaning solutions will positively colonize surfaces and create a microbiologically balanced environment. The biologic antagonism is the key element for beneficial bacteria to reduce the growth of other potentially pathogenic organisms. Probiotics cleaning can deliver excellent performance on the basis of the following key points: flexible, safe, easy to use, completely eco-sustainable and with a long-lasting positive impact on the environment. Their work continues also in sewages, municipal/civil wastewater treatment plants promoting the natural depuration process of waters.
How we built it
Probiotic concentrate solutions have been developed and formulated starting from our internationally patented biotechnology BATP®, certified by several worldwide recognized institutions and laboratories, dermatologically tested, not irritant (to eyes, skin, mucosae), non-toxic, non- harmful, and does not show any pro-sensitizer potential. It has been successfully applied first to tissue paper and even in professional cleaning formulations with excellent results. The product has shown its effectiveness in contrasting the pathogenic microbial biofilm growth. A new concept has been drafted following to the application of bacteria in the treatment of pollutants in wastewater plants and decontamination. The development and research of specific 100% natural and safe bacteria strains led to concentrate blends according to their skills of biodegrading target substances. A multifunctional concept of cleaning has been developed, without any kind of risks for users and environment. Humans will be healthy only in a healthy planet. In a literal sense, probiotic calls to act, as nature needs to be lived and preserved with biologic means and ways.
Challenges we ran into
Develop a complex concept of a new way of cleaning in synergy with the team and trying to introduce the project of a probiotic city in a completely brand-new way.
Accomplishments that we are proud of
The presentation of a green, zero impact concept based on safe, 100% natural microorganisms, efficient on the long-term, depolluting all environments starting from home. The most interesting challenge is starting from end users to create a sustainable change with a view to a global growth. Developing a new concept of cleaning, the “living cleaning”.
What we learned
Through this project we learnt the importance of considering also crucial situation and crisis, like the Covid-19, not only as a negative event, but also as an opportunity to commit ourselves in finding innovative chances to effectively make the difference both for us and for future generations, with a keen eye on environment protection.
What's next for Probiotics will heal our future
Next steps for the probiotic project is increasing its area of applications, covering also professional, industrial cleaning and continuing to develop and improve bacterial formulations always shifted into the future and considering bacteria as a huge resource for our lives. | Probiotics will heal our future | Beneficial microorganisms applied in the cleaning starting from domestic use to institutional in order to develop a favorable healthy and green environment | ['Federica Proh', 'Carla Dalla Rosa', 'Paolo Puligheddu'] | [] | [] | 21 |
9,965 | https://devpost.com/software/cov-19-safe-shopping | McDonald's embracing tech only purchases
Poundland incorporating Perspex
Sanitiser x 1 for a store
A maze to walk round, if you want to
Should these store owners have just stayed at home and checked the self employed income support rather than opening in a slapdash way.
How do we support local business owners to incorporate technology into their business sales process?
The answers are probably out there .... somewhere for those who are looking.
Built With
pixel
Try it out
www.gov.uk | COV-19 Safe Shopping? | Research about what actually happened when Bristol opened for business 16th June 2020 | ['Superkey Cooper'] | [] | ['pixel'] | 22 |
9,965 | https://devpost.com/software/the-virtual-medic-fwbdr1 | LOGO
Disease Prediction Example
Disease Prediction Example
Disease Prediction Example
Barcode Scanner backend
Medicine Reminder
Medicine Reminder Setup
Inspiration
While access to healthcare and hospitals remain very delicate in these times, we are developing a full AI based model that can be easily used and deployed to automate the process of patient hospitalization.
What it does
As the initial part of the project we have developed the health application serves several purposes. To begin with, the app has a Disease Predictor, which takes symptoms as the user input and predicts the disease based on the
same. The application also implements a Barcode Scanner that scans the barcodes on different
medicines via the camera and displays the details about the same like usage, effectiveness
and side effects. The app also lets the user input their daily medication including the number of doses and their
timings. On adding, the app would send the user a notification at every dosage time.
How do we aim to automate hospital interface with the same ?
Through the disease prediction model, i further aim to deploy a consultation mechanism that based upon the user symptoms connects us with the related doctor who specializes in the same field, for e.g orthopaedics, psychiatrists, general surgeons etc. Deployed in a hospital, the same can be used to assist patients with database management as well consultation management.
How I built it
The app is completely based on python with android being used as the front end framework.
Accomplishments that I'm proud of
The accuracy of the model and its ability to predict upto 41 diseases based upon the 132 different symptoms provides evidence of the advancements that can be made in this field.
What I learned
Being a machine learning enthusiast, i had never used android for deploying a front end to my application, hence android is the very main thing that i acquired from the project
What's next for The Virtual Medic
I plan to work on the UI of the application as well as plan to integrate a virtual video conferencing tool that can connect the user to nearest doctor for health consultation.
Built With
android
flask
keras
machine-learning
python
Try it out
github.com | The Virtual Medic | ML Based Disease Prediction and Hospital Automation | ['harsh pandey', 'Neel Kukreti', 'Tanvi Thakur'] | [] | ['android', 'flask', 'keras', 'machine-learning', 'python'] | 23 |
9,965 | https://devpost.com/software/get-work-nsza80 | logo
user interface for service seekers
Possibility to change your profile from service seeker to service offers
user interface for service offers
only app where you can see when your service is coming (other then driver like on uber)
6 members of team
Inspiration
Millions people uneployment all around globe. All service providers on one app!
What it does
It is the only app where one can find reviews, price, location, experience and contact of service provider in one place,
focus is on C2C type of mediation and
on traditional services where 2 people phisically meet like: • Home care and design (interior designing, pest control, cleaning, laundry, glasswork, woodwork, waterproofing, masonry, carpentry...) • Repair and maintenance (handyman, locksmith, plumber, electrician...) • Health, wellness, and beauty (manicure, pedicure, physiotherapy, massage, trainer...) • Others (nanny, tutor, cooking, walking pets, shooping...)
How I built it
MY TEAM USE ANDROID AND VISUAL STUDIO.
This solution is disrupting the traditional business models, replacing them with a platform to connect the major stakeholders of a service exchange (Service provider and customer). Current MVP is a web page where one can offer or book services. The process is not automated yet so applications, bookings and all communication is first going to administrator. Furthermore, the implementation of Google maps is missing so locations are added manually on the map. There is no possibility to create and edit a profile or to leave reviews and comments. There is currently 14 service providers offering their services trough the web page.
Challenges I ran into
Financial means needed are for covering first year of operational expenses:
Computers 3.150 USD
Marketing 5.249 USD
Office ownership 42.362 USD
Bookkeeping 1.575 USD
Sallary 35.302 USD
Accomplishments that I'm proud of
WE HAVE PATENT ! Name of patent: SUSTAV ZA POVEZIVANJE PONUDE I POTRAŽNJE USLUGA, reported at Croatian Herald of Intellectual Property (Hrvatskom glasniku intelektualnog vlasništva) No. 5/2019 (8th of March 2019) Patent No. P20171297A. Holder of intellectual property rights: Mario Marević, Podgorske skale 9, Makarska
WE BUY A FIRM IN NORTH SIDE OF CROATIA THAT ALSO FIND SERVICES THROW WEB
What I learned
My team learned app functionalities: • service provider info (name, photo, education, professional experience, list of services) • service provider (and seeker) rating, reviews and comments • possibility for service seeker to determine suitable time and place where he wants the service to be provided — once provider agrees this way they both know particular time of delivery and a time duration • push notifications (when service is booked, when booking is accepted, when appointment time is changed, reminder to leave a review) • location of provider on map + real-time tracking • price of services provided (HRK/h) • browsing trough options with filters like service type, location, price and reviews • recommendations of service based on proximity, reviews, comments and price. • quick and easy payment mode (cash or card) • provider contact info — available once the service is booked which allows easy communication • overview of all available service options, while the most quality ones will appear on top
What's next for Get Work®
LETS PUT THIS WAY:
Unemployment rate goes up. There was 8.995 unemployed people in Split, 16.548 in Zagreb, 3.700 in Rijeka and 5.049 in Osijek in March 2020. There was 8,3% (152.590) unemployed people in Croatia. Unemployment Rate in Croatia averaged 16.9% from 1996 -2020. According to Trading Economics unemployment Rate in Croatia is expected to be around 13.50% in 2021.
By 2020, the number of freelancers is projected to outpace full time workers - 73% are looking for a job on dedicated internet platforms.
Because of economic crisis more people will need an extra source of income —79% of existing users in on-demand economy are working as part-time.
APP GET WORK IS TOLL THAT WORD NEED IN THE YEARS TO COME BECAUSE OF ECONOMY CRISES CAUSED BY CORONA-VIRUS
Built With
android-studio
visual-studio
Try it out
drive.google.com | Get Work® | Get Work® - Mobile app between service providers and service seekers. Booking and offering services in accordance with 21st century. | ['Mario Marevic'] | [] | ['android-studio', 'visual-studio'] | 24 |
9,965 | https://devpost.com/software/papr-light-9m6bxa | .,.,.,.,.
Try it out
devpost.com | . | ./ | ['Mohamed Hany'] | [] | [] | 25 |
9,965 | https://devpost.com/software/decentralized-pandemic-reserve-dpr | DPR Logo
Voting on Need using R-Value
Inspiration
As hospitals and essential businesses compete for necessary supplies, the identification of need is skewed by racial, political, and socio-economic biases. Policies are being driven by short-sighted and inaccurate data with little understanding of the virus’’s real-time effective reproductive number, leaving communities left scrambling for an effective plan of action. We are inspired by the DAO's ability to function without hierarchical management, removing biases and hopefully giving a voice back to people instead of skewed policy leaders during a time of global crisis.
What it does
The Decentralized Pandemic Reserve (DPR) aims to create an autonomous supply chain consortium that matches individual and manufacturer resources with the areas most in need. Our end-to-end solution solves issues with data storage, data retrieval, data validity, supply chain, and governance. By using a predictive model to identify the coronavirus’s real-time, effective reproduction number, training that model with A DAO supported by decentralized voters and assessing proposals of hospitals or entities in need of resources against data models of activity (healthcare.gov/covid or healthdata.org/covid) to deliver supply.
How we built it
PySyft is a Python library for secure and private Deep Learning. PySyft decouples private data from model training, using
Federated Learning
,
Differential Privacy
, and Encrypted Computation (like Multi-Party Computation (MPC) and Homomorphic Encryption (HE)) within the main Deep Learning frameworks like PyTorch and TensorFlow.
We deployed the jupyter notebook, and used
PySyft
,
OpenMined
and
PyGrid
to implement Differential Privacy and Federated Learning on the model.
For the DAO component, we utilized Aragon and it's smart contracts for ease of deployment, token functions, and voting mechanism. A React front end ties together the data component, a DAO component, and R values and other data from jupyter notebook and the OCEAN protocol.
Challenges we ran into
Initially, we were too consumed with figuring out the supply chain component, but quickly realized we could leverage cohorts such as
https://make4covid.co/
and others across the globe to handle supplies and manufacturing production to meet demand. Since they are a growing coalition of designers, engineers and manufacturers, we could shift our project to focusing on distribution and areas of greatest need.
Accomplishments that we're proud of
We were able to stream line the data being used to understand COVID from the daily amount of reported cases to the coronavirus’s real-time, effective reproduction number, or its actual ability to spread at a particular time. By using this data we are able to continuously train the model with a DAO putting the power of choice back into the hands of the people. A modified voting mechanism with informed data points informs the community about relevant information such as supply recipient, location, (R) infection rate, and reputation.
What we learned
We learned that people are afraid and feel powerless as decisions are being made that they have little say or control over. We also learned that our project is modular and can be replicated to solve for more than just this use case. We have a centrally build a decentralized and global data science department.
What's next for Decentralized Pandemic Reserve (DPR)
We hope to gain feedback and insight from the Devpost community and continue building our project as we believe it will have long-term scalable impact. We believe DPR has the potential to decentralize voting, force decision making and price transparency and build the data economy of the future. It can be used for a variety of supply chains, but more importantly, it will eventually with enough training, reduces the amount of human bias and mode from the decision chain.
[presentation]
https://docs.google.com/presentation/d/1JOKOpt5lD0M9_JQbWPOhPo9YH1qLv3inADb9C5DItlQ/edit?usp=sharing
)
Built With
aragon
dao
juypter
ocean
python
react
Try it out
github.com
indigotheory.invisionapp.com | Decentralized Pandemic Reserve (DPR) | DPR is an R-value backed DAO matching individual and manufacturer resources with the areas most in need. We're solving pandemics with data driven consensus and governance. | ['RISHABH CHAKRABARTY', 'Alex Gardner', 'William Sterling', 'Ron Stoner', 'Rahul Bishnoi'] | ['1st place'] | ['aragon', 'dao', 'juypter', 'ocean', 'python', 'react'] | 26 |
9,965 | https://devpost.com/software/yozznet-n1s970 | P2P Network : Buy-Sell-Request Section
A student selling book
Lost and Found
Request Feature. A student requesting cab share to Airport to save money.
Discussion Board
Initiative Section for team building request, mini-project etc.
Poll feature
Events Section with useful interest based filter tags!
Event info
Club adding event
User Profile Page
Registration of small business that operates inside college campus
Restaurant adding food item in menu
Menu displayed to students
Inspiration
Being a college student, I (along with my friends) faced some issues which haven't been dealt with properly till now. So we decided to solve these following issues which we believe almost every college student face.
Wastage of resources
like calc, previous sem books, notes etc.
Missing out events
(eg. hackathons, seminar etc) both intra and inter-college events. ( Events are important part college life as it helps in recreation and develops personality also. Believe me, no one wants to miss events that interest them.
Lack of proper guidance
from seniors, teachers which lead to stress and anxiety and many-a-times suicides.
COVID -19 pandemic
: Social gathering in shops and restaurants inside the big college campus.
What it does
Yozznet tries to solve these problems and
helps crores students
in colleges around the world. It also
helps Businesses inside colleges
to prosper. Intuitive features of Yozznet:
Buy-Sell-Request section
- Connects students from a particular college together and lets them buy, sell, donate or Request (USP) items which they no longer need. Thus solving Resource wastage problem. We even have Lost and Found feature!
Events and Opportunity Section
- gives info about the upcoming events from their own college as well as other colleges. Covers both intra as well as inter-college events like hackathon, competitions etc. College clubs can easily conduct webinars, online seminars, online games, competitions etc. in these quarantine times also and let the whole college know at once.
Discussion Board
- Students can ask questions, conduct poll about topics they are interested in and want some guidance. Also, they can post "anonymously" about their fears, stress etc and we can connect them with mental health clubs of college. Ask anything, be it which elective to take in next sem or which skill to learn in quarantine.
inCampus Business
- In colleges where there are restaurants and shops inside its campus area, we are trying to make them online so that students can directly buy from our platform thus reducing social gathering. This helps both students as well as small businesses inside college campus.
How We built it
We are a great team of passionate developers who wants to have a positive impact on college students life. We built it using Flutter so that it can run both on Android and IOS with the same codebase.
Challenges I ran into
Forming this team itself was a challenge!. I and my brother conducted online workshops using Telegrams and provided students with resources to learn from. We solved their errors and guided them to speed up the learning process. Finally selected some of the most dedicated and promising learners:)
Accomplishments that I'm proud of
Won Business Plan Competition 2020 at Ramaiah Institute of Technology, Bangalore.
In TOP 10 at 1 Million Seconds Hackathon 2020(all India Level Hackathon) organised by Telangana State, TITA, TSIC and Publishsutra.
What's next for Yozznet
To take it forward with full enthusiasm as a startup and launch it for every college in India ( and the world later :)
Built With
dart
firebase
firestore
flutter
javascript
node.js | Yozznet | Yozznet - an app for ALL your college needs! | ['Parthiv Menon', 'satyam kumar', 'Shivam Kumar', 'Akash Agarwal', 'Jatin Solanki', 'Niharika Kesarwani', 'AKARSH.H.SIMHA SIMHA'] | [] | ['dart', 'firebase', 'firestore', 'flutter', 'javascript', 'node.js'] | 27 |
9,965 | https://devpost.com/software/activistarmor | Inspiration
On May 25th, George Floyd was brutally killed by policemen. His death has enlightened thousands of people, marking the existence of fatal amounts of racism and the trend towards the United States becoming a police state.
As people bypass quarantine and curfew laws to protest against this injustice, several new cases of police brutality have come up. Newsfeeds of homeless people being hit by rubber bullets and a small girl being pepper-sprayed has continued to fuel the pathos of many people. When we see individual stories of the atrocities committed by our own protectors, there are usually two trains of thought. Many people are enraged and take to the streets more often. Others, although horrified, aren’t convinced to protest because they’re only exposed to a few news articles with invigorating headlines but a more dull truth.
However, my team’s research has shown that there are a
lot
more cases of brutality than we see. These are a few stills of videos we found that were buried deep in the internet. During every protest, several new videos surface with unprovoked action against protestors, but only a few go viral. We immediately realized the importance of
visualizing
this data. Emotion is strong, but data is stronger! With this information, we can convince more people to protest against injustice, this time armed with facts and logic.
What it does
With a complex architecture, our team set out on an ambitious goal to try and map out all cases of police brutality. Knowing that most of these videos surface on Reddit, we built a metadata Reddit scraper that searches for media files. Moreover, we also built an application with React Native (thus making it cross-platform!) that allows users of our app to post their own photos and videos that they've recorded onto our app.
We prioritized the safety of the protestors from a cybersecurity standpoint since we want all users to stay anonymous. Thus, we built a unique CNN model from TensorFlow that allows face blur from images and protects the identity of any people that might be on the video. We don't want people to get targetted!
However, we don't want to just append any random media file to our database! Using Amazon's S3 Bucket and Rekognition APIs, we were successfully able to extract how much violence was in our video. Then, we uploaded these files to DigitalOcean, extracted a file location, and stored this information in MongoDB along with the case's geolocation!
On the client-side, the user is able to see a feed of the most recent cases from our MongoDB, and a map showing the geolocation of every user-uploaded case.
What's Next for ActivistArmor?
In order to accomplish our goal of arming activists with information, we hope to add a web app to our project, get our app published on the App Store and Google Play, and expand our scraper's abilities in order to collect content from Twitter, Facebook, websites, and more.
A problem we face with this version of our app, is that our server cannot handle video well enough to blur faces in the videos, however the code and functionality to do so exists in our program already. If we raised enough money, as little as $100, we could upgrade our AWS server to include a GPU. This would protect protestors from having their face appear in videos on our website to protect them from being prosecuted by authorities.
Another way we would like to improve ActivistArmor is to find videos of the same event from different angles. We could do this by implementing object detection ML and finding match objects in videos. Protestors could then see well-documented video of police brutality from multiple angles.
Lastly, in order to speed up our content flow, we need to implement a way to remove duplicate videos and crop videos down to the content that matters. This will allow us to utilize any grant money or funds we receive in a more responsible manner and will work better for protestors by getting them only the content they want as quickly as possible.
Built With
ai
amazon-web-services
cnn
digitalocean
galio-framework
javascript
ml
mongodb
react-native
rekognition
Try it out
github.com | ActivistArmor | A modern solution to visualize the extent of police brutality in the US and arm protestors with knowledge! | ['Ansh Gupta', 'Eric Andrechek', 'Jainil Shah', 'Alex Ruan'] | ['Top 3 Best Data Science/Machine Learning Hack'] | ['ai', 'amazon-web-services', 'cnn', 'digitalocean', 'galio-framework', 'javascript', 'ml', 'mongodb', 'react-native', 'rekognition'] | 28 |
9,965 | https://devpost.com/software/unite2share | Inspiration
While there had been significant work done in area to help out the homeless people, there are many missing dots yet to be connected. In the era of digitization lot of applications and services have come up but there is no such service which provides end to end service to needy people.
If we look around, we have various such NGO working in one of the above mentioned categories but none of this encompasses all categories. The main objective of this solution is to provide a service which encapsulates all the above three category in one platform and result in a centralized solution.
What it does
In this project we are addressing this shortcoming and come up with solution for homeless people. Our solution is going to provide all requirement(which can be categorized as in following section) under one umbrella and target is to contribute towards society for good.
Various category covered under app will be:
a) Food
b) Shelter
c) Medical needs
Our target app users will be :
Volunteers: Set of people who are willing to provide help. This maybe an individual or an organization and can range from doctors to common citizens who have compassion to contribute to mankind and build a better society for everyone.
Service seeker: Set of those who would be benefitted from the service provided by the volunteer. This includes homeless and needy people across the globe.
Apart from this we have a infrastructure provider , Govt or other agency: This is to bridge in the gap between the volunteer and service seeker, taking in account that all the homeless people may not have a access to digital platform. It is responsibility of this set of people to provide a platform/infrastructure(which maybe LCD display or digital screen or pamphlets at location eg-traffic signal or temple where needy people can easily find it)
The society can use the services and check for the available options available for the needy people.
How I built it
Using Flutter framework and brainstorming the idea.
Challenges I ran into
Coming up with use cases , UI mock ups and learning Flutter technology.
Accomplishments that I'm proud of
That I could come up with an idea to contribute towards society for something good and heal the world.
What I learned
I learnt creating wireframes , design UI mockups , learnt flutter and how to create an mobile app.
What's next for Unite2Share
Currently its in prototype phase the idea to make it production ready.
Built With
flutter | Unite2Share | Unite 2 share during such tough times. Basically homelessness has become a common issue these days post daily workers losing their jobs.So this idea is going to help the needy people | ['Aastha Khatri'] | [] | ['flutter'] | 29 |
9,965 | https://devpost.com/software/handsfree-basin | Inspiration
This is pandemic condition. Be a part of mission against a coronavirus
What it does
It will be used in public spaces or slum areas or army/medical camps. Also, useful for isolated people
How I built it
Using arduino, hardware components and sensors, etc and coding
Challenges I ran into
Lack of components or accessories
Accomplishments that I'm proud of
Really helpful
What I learned
Proud to be an Indian, use my knowledge for Nation
What's next for Handsfree basin
Helping others..
Built With
knob
machine-learning
mechanical-parts-like-spring
pedal
Try it out
drive.google.com
github.com | Defender (Handsfree basin and Corona Rakshak) | Restricted the transmission of Coronavirus from infected person to healthy person through surface. | [] | [] | ['knob', 'machine-learning', 'mechanical-parts-like-spring', 'pedal'] | 30 |
9,965 | https://devpost.com/software/3bf | Inspiration
COVID-19 has had a phenomenal impact on unemployment rates across multiple sectors, in multiple countries...but the people who have been hit the hardest are our unskilled workers.
On top of this, youth unemployment prior to COVID-19 was at least 3x higher than adults...globally.
3BF is on a mission to create a more equitable future for our global workforce and decided to take an innovative approach to make this happen.
What does 3BF do
3BF re-trains, re-skills and provides income to the programme's users by innovating and reshaping funding models and leveraging open source technology to put money into the pockets of the people that need it most.
Users are taught technology and digital related skills to help further their own professional development, but are also able to tailor the platform and curriculum to suit their community and local needs.
3BF then provides a safe environment for them to refine their skills before helping the graduates into paid employment or entrepreneurship.
The platform is open to both youth and adults.
How we built it
Sweat, tears, late nights, a fantastic team of people and lots of New Zealand Mana and Aroha
Accomplishments that we are proud of
3BF has been a direct answer to the rising unemployment rate in New Zealand and having been recognized for the effect that this is having in our local community, was truly heart warming.
To see 3 of our early adopters gain employment opportunities in the tech sector, validated the effectiveness of the platform and produces the desired output that the programme is designed to achieve.
What's next for 3BF
A 3-staged go-to market strategy that focuses on Oceania, Indonesia, E/SE Asia, as well as some of the other APEC countries.
We are reaching out to foreign aid funders, as well as investors and regional partners in these regions, to further the positive impact this platform is currently having on a global economy that is hurting. | 3BF | 3BF is an initiative that re-trains/skills & provides income by innovating & reshaping funding models & leveraging open source tech to create equitable employment opportunities | ['William Clarke'] | [] | [] | 31 |
9,965 | https://devpost.com/software/euconnect-cross-border-education | Problem Statement
Solution
Research Phase
Research Phase
Architecture
We are a group of people with various expertise who gathered together with one matching key goal - to keep our future generation enthusiastic about learning while getting connected globally. Too many bad news about youths being at home amid the Covid-19 crisis - depressed, lonely, bored, demotivated, etc - that affect their learning experience. Our mixed-method research that we carried out revealed the same issues regarding motivation and hardships around remote learning. With one vision, we decide to come together and address this issue.
Vision and Mission
We envision a future with an accessible, borderless world for pupils to connect, inspire and motivate each other in achieving their learning goals. School practitioners are to be linked to a global community and everyone can connect internationally, learn collaboratively and help each other to accomplish learning paths through a gamified, modern yet friendly virtual environment.
With our platform, we want to support the
United Nations Sustainability Goals
on quality education, reduced inequalities, and partnerships for the goals.
We strive for quality learning paths by professionals.
A mentor is qualified through core and soft skills evaluation, including onboarding videos.
Our Platform is inclusive.
It's free of charge for pupils and schools and is accessible in all devices, online or offline.
We are Non-profit, working with global Partnerships for similar objectives.
Open Source content from certified platforms is used in our existing paths
Research Results
We conducted surveys and interviews with pupils from different countries. Most of them told that distant learning is inefficient as there are not enough teachers' explanations and feedbacks. A lot of pupils answered they feel lonely and want to find new friends to communicate with, especially from different countries to learn about other cultures. The idea of mentoring was also supported by pupils as mentors could help them with studying and even with personal stuff. All the respondents would like to have the app we developed.
matchEU and Social Impacts
matchEU is a learning platform for learning that we developed with
three
key features. It is hoped that matchEU could maintain pupils’ social and well-being that would help them survive the learning journey in a ‘new normal’ situation.
1. Global connection
Study partnership
- Pupils can choose their study buddies and create their own space for discussion. While this can increase their motivation to continue learning amid Covid-19, this will also strengthen the intercultural competences among them. The cultural values inculcated within this App defines how impactful matchEU is to pupils' personal growth and development.
Mentorship
- Pupils can choose a mentor based on their preferences. This allows them to work with those whom they are comfortable with and this will keep them motivated in learning the subjects of their choice. This will encourage a long-term, sustainable tandem and mentorship among student users and mentor users.
Friendship
- The care-to-share space allows pupils to create a matching tandem among themselves and create a long-lasting friendship. It helps to maintain their social and well being as it allows them to share and care about each other, especially during the crisis.
Community relationship
- Pupils are also connected to the community around the globe. This allows them to be more sociable while keeping their distance from each other. It is hoped that users can stay emotionally and mentally healthy to continue learning remotely.
2. Worldwide Courses
Free courses
- Pupils are provided with readily-available courses created by multiple stakeholders around the world. This exposes them to a wider perspective that exists beyond a standard curriculum.
Easily accessible
- With a service and client facing mobile application & web app in mind, pupils are provided with a link to content created on easily accessible platforms such as Moodle and Google Classroom. This allows equal chances for everyone to take up any course they are interested in.
3. Gamification
Challenges
- Pupils are provided with ever-ready challenges that they could take up while competing among each other. This will increase the motivation, thus promoting sustainability in the learning journey.
Badges
- Pupils are provided with a reward system that helps keeping them motivated to stay connected in the learning journey.
Ranking
- Pupils are provided with a ranking system based on the badges they received or tracks they completed. This encourages and motivates them to accomplish their own learning paths while gaining world recognition. Mentors are also ranked based on pupils’ level of satisfaction.
Technical Complexity
We have managed to create a python app that runs backend which serves as a website and also processes requests related to the connections to other platforms such as Google Classroom and Moodle. There is also a python app working on the serving as an API for mobile apps and serving as a router to messages and ways to create groups of users registered in the database that matches them or just allow them to form groups and message different stuff. Work continues to make everything functions as a web version. Website frontend is done with react and the goal is to have it modularised and unified so it can be adjusted dynamically when new subsites are created. Works are also done on react-native mobile app.
The Future of matchEU
matchEU gives a powerful impact towards the growth and development of the youths in terms of their cognitive, emotion, and spiritual ability. Given this App is a much needed tool for the current situation, it is best to see how much this App is useful when the crisis is over. It will be an eye-opener to see how much values this App could bring to pupils for their future endeavours. Thus, it is a necessity to see matchEU keep moving forward.
We are looking for first funding, to pay for our working tools in order to create the MVP. Let's connect!
Let's connect - find out more and start with our
landing page
or stroll around on
GitHub-BackEnd
GitHub-FrontEnd
and the
video
Twitter: @eu_match
Mail:
[email protected]
Built With
amazon-web-services
bootstrap
elastic-beanstalk
flask
heroku
justinmind
postgresql
Try it out
match-eu.herokuapp.com
github.com
github.com
www.powtoon.com
ron-huberfeld.github.io | matchEU is a 2020 EUvsVirus Hackathon project | WE HAVE AN IDEA FOR 2022: Let’s start a new Hackathon EUforPEACE, as Ukraine needs our support. Can you help to organise? Send a message on LinkedIn to Isabel Arens | ['Nathalie Haußmann', 'Olha Onofriichuk', 'misrah mohamed', 'Japneet Singh', 'Ron Huberfeld', 'Ryan Lopes', 'Isabel Arens', 'Vanessa Guillén', 'Megan Thong', 'Arushi Madhesiya', 'Chelsea Alcinord'] | [] | ['amazon-web-services', 'bootstrap', 'elastic-beanstalk', 'flask', 'heroku', 'justinmind', 'postgresql'] | 32 |
9,965 | https://devpost.com/software/dinosars | Add new Entities to narrow down your search
Look at the top Entities in the results
Choose your Data Collection
Look at the top Concepts in the results
Enter your question and some of the concepts you are interested
Inspiration
Since January 2020, there has been more than 23,000 COVID-19 papers published, and the number of publications is doubling every 20 days. Innovative solutions are needed to address this information overload.
What it does
DinoSARS is an AI-driven search engine that presents semantic metadata such as high-level concepts, named entities, and keywords with search snippets. Keywords can be used for search refinement to make another search from the results. Keyword queries can be combined with concepts and entities to zoom in on more targeted content.
How I built it
We developed the orchestration layer and web application that interfaced with IBM Watson AI services. The web interface is a single page application developed with Bootstrap and jQuery.
Challenges I ran into
Researchers and medical professionals don't want to use search engines and tools they are not familiar with.
Accomplishments that I'm proud of
Building the AI-driven knowledge engine.
What I learned
IBM Watson is a good foundation for an AI solution. But customization and development is required to meet requirements of end users.
What's next for DinoSARS
We want to put more efforts on the information extraction, especially on numeric values. We are also considering other user interfaces such as chatbots and graph visualizations.
Built With
figma
ibm-watson
Try it out
dinosars.marketengine.parts | DinoSARS | Understand the latest research data to stomp out SARS-CoV-2 | ['bohanchen Chen', 'Veso VGG-Consulting', 'Srujana Munamala', 'Don T', 'Peter Carrasco', 'denisovajsh'] | [] | ['figma', 'ibm-watson'] | 33 |
9,965 | https://devpost.com/software/kitler | These were the results of some market research that we conducted.
Inspiration
Millions of Americans are obese and with the rate of obesity only growing something had to be done. Our group did some research and we realized that the main challenge people faced when working out was the
lack of motivation
. We had our core problem and as we conducted more and more research on fitness and the lack of exercise we were able to come up with Kilter which targets obesity at its root to create a more motivating and rewarding workout experience.
What it does
Exercising can be a hassle; not only is it impersonal, but it is often inconvenient, and therefore, we often fail to see the results we desire. Let us introduce you to our app
Kilter
, a first-of-its-kind fitness app which combines the rapidly expanding market trends of both personal training and a cashback reward system, all at a lower price than our competition. The large majority of health app users are not willing to pay for the app, so let's start off with the complementary aspect of our service. The free version of our app provides users with guided exercise videos in areas such as cardio, weightlifting, and calisthenics. We will also run ads during the video to profit. The trainer of the video will recommend that the user records a 1 minute video of them performing the exercise, and the user can choose to submit this video to the Kilter team to be validated. The user will then receive in-app currency to use in the app’s shop. As one of our potential customers stated in an interview,
“Money is a big incentive”
for people to complete fitness challenges. Furthermore, companies advertising in the Shop offer another viable revenue stream. And similar to the app Sweatcoin’s system, users can pay to submit more videos per day. Of course, our video submissions will comply with HIPAA in order to maintain the trust of users, sponsors, or companies that underwrite our solution. However, if a user wants a more personal experience, then our app also provides a paid service. For a price lower than gyms and our competitors, the paid experience of our app is a subscription based service where users can buy virtual training sessions with certified personal trainers. While other companies, such as Peloton or Skimble, offer online personal training, neither gives the user 1-on-1 video calling sessions, which Kilter would offer in order to add another revenue stream.
How we built it
We used
HTML and CSS
to build the webpage. Our backend developer was not present so we were unable to make the backend of the app.
Challenges we ran into
We were missing a key team member which really put a wrench in out plans, as a result we had to make do without a backend and out website was not as robust as we would have liked.
Accomplishments that we're proud of
We are proud that we were able to translate our idea into a
functioning webpage
!
What we learned
We learned how to link
HTML and CSS.
We learned how to use an essential skill for all coders,
Git and GitHub
. We also learned how to host a website on
GitHub
.
What's next for Kitler
We hope to get some funding so that we can develop the
website/app
in a more robust manner and so that we can also market our app once we finish developing it!
Find out more about the idea
A
google doc
with more information :
https://docs.google.com/document/d/15ymF2LfmkNsf3qw60XlfBjSdgwnFXub8hwiLBy24Huk/edit?usp=sharing
Our
facebook page
with potential customers:
https://www.facebook.com/fitnesskilter
Link to
Website
https://akhilr0.github.io/
Built With
css
html5
Try it out
github.com
akhilr0.github.io | Kitler | Kilter is the first app to combine the two market trends of 1-on-1 personal training and a cashback reward to provide a more motivating workout experience. | ['Gaurish Lakhanpal', 'Subham Mitra', 'Akhil Ramidi', 'Lance Locker'] | [] | ['css', 'html5'] | 34 |
9,965 | https://devpost.com/software/safetravels-pr429f | SafeTravels Logo
Arduino Hardware Wiring Diagram
Constructed Arduino Hardware Circuit
Mobile App Signup Page
Mobile App Bus Line List Without Filters
Mobile App Seating Chart with Recommendation (Blue)
Mobile App RFID Setup Page
Mask Detection Analysis (High Confidence True)
Mask Detection Analysis (High Confidence False)
Audio Spectrogram for Cough Detection
Admin Website View + Add Bus Lines
Inspiration
Public transportation is a necessity to society. However, with the rapid spread of COVID-19 through crowded areas, especially in lines like city metros and busses, public transportation and travel have taken a massive hit. In fact, since the beginning of the pandemic, it is estimated that usage of public transportation has dropped between 70-80%. We set out to create a project that would not only make public transportation safer and more informed, but also directly reduce the threat of disease transmission through public transportation, thus restoring confidence in safe public transportation.
What it does
SafeTravels improves safety in public transportation by enabling users to see the aggregated risk score associated with each transportation line and optimize their seating to minimize the risk of disease transfer. A unique RFID tag is tied to each user and is used to scan users into a seat and transportation line. By linking previous user history on other transportation rides, we can calculate the overall user risk and subsequently predict the transportation line risk. Based on this data, our software can recommend the safest times to travel. Furthermore, based on seating arrangements and user data, a euclidean based algorithm is utilized to calculate the safest seat to sit in within the transportation vehicle. Video analysis for mask detection and audio analysis for cough detection are also used to contribute to overall risk scores.
How we built it
Mobile App
A mobile app was created with Flutter using the Dart programming language. Users begin by signing up or logging in and linking their RFID tag to their account. Users are able to view public transportation schedules optimized for safety risk analysis. Seat recommendations are given within each ride based on the seat with the lowest disease transfer risk. All user and transportation data is encrypted with industry-level BCrypt protocol and transferred through a secure backend server.
Administrator Website
The administrator website was created with React using HTML/CSS for the user interface and JavaScript for the functionality. Administrators can add transportation lines and times, as well as view existing lines. After inputting the desired parameters, the data is transferred through the server for secure storage and public access.
Arduino Hardware
The Hardware was created with Arduino and programmed in C++. An MFRC522 RFID reader is used to scan user RFID tags. An ESP8266 WiFi module is utilized to cross reference the RFID tag with user IDs to fill seat charts and update risk scores for transportation lines and users. If a user does not scan an RFID tag, an ultrasonic sensor is used to update the attendance without linking the specific user information. Get requests are made with the server to securely communicate data and receive the success status to display as feedback to the user.
Video Analysis (Mask Detection)
Video analysis is conducted at the end of every vehicle route by taking a picture of the inside and running it through a modified Mobile Net network. Our system uses OpenCV and Tensorflow to first use the Res10 net to detect faces and create a bounding box around the face that is then fed into our modified and trained Mobile Net network to output 2 classes, whether something is a mask or not a mask. The number of masks are counted and sent back to the server, which also triggers the recalculating of risks for all users
Audio Analysis (Cough Detection)
We also conduct constant local audio analysis of the bus to detect coughs and count them as another data point into our risk calculation for that ride. Our audio analysis works by splitting each audio sample into windows, conducting STFT or Short Time Fourier Transform on that to create a 2D spectrogram of size 64 x 16. This is then fed into a custom convolutional neural network created with Tensorflow that calculates the probability of a cough (using the sigmoid activator). We pulled audio and trimmed it from Youtube according to the Google AudioSet, by getting audio labeled with cough and audio labeled as speech and background noise as non_cough. We also implemented silence detection using the root mean square of the audio and a threshold to filter out silence and noise. This works in realtime and automatically increments the number on the server for each cough so the data is ready when the server recalculates risk.
Backend Server
The backend was created with Node.js hosted on Amazon Web Services. The backend handles POST and GET requests from the app, hardware, and Raspberry Pi to enable full functionality and integrate each system component with one another for data transfer. All sensitive data is encrypted with BCrypt and stored on Google Firebase.
Risk Calculation
A novel algorithm was developed to predict the risk associated with each transportation line and user. Transportation line risk aggregates each rider’s risk, mask percentage, and the duration multiplied by a standard figure for transmission. User risk uses the number of rides and risk of each ride within the last 14 days. Because transportation line risk and user risk are connection, they create a conditional probability tree (Markov chain) that continually updates with each ride
Optimal Transportation Line and Seat
After the risk is calculated for each transportation line and user, algorithms were developed to pinpoint the optimal line/seat to minimize disease transmission risk. For optimal transportation lines, the lowest risk score for lines within user filters is highlighted. For optimal seat, the euclidean distance between other riders and their associated risk levels is summed for each empty seat, yielding the seat with the optimal score
Challenges we ran into
One challenge that we ran into when doing the audio analysis was generating the correct size of spectrogram for input into the first layer of the neural network as well as experimenting with the correct window size and first layer size to determine the best accuracy. We also ran into problems when connecting our hardware to the server through http requests. Once the RFID tag could be read using the MFRC522 reader, we needed to transfer the tag id to the server to cross reference with the user id. Connecting to a WiFi network, connecting to the server, and sending the request was challenging, but we eventually figured out the libraries to use and timing sequence to successfully send a request and parse the response.
Accomplishments that we're proud of
Within the 24 hour time period, we programmed over 3000 total lines of code and achieved full functionality in all components of the system. We are especially proud that we were able to complete the video/audio analysis for mask and cough detection. We implemented various machine learning models and analysis frameworks in python to analyze images and audio samples. We were also able to find and train the model on large data sets, yielding an accuracy of over 70%, a figure that can definitely increase with a larger data set. Lastly, we are also proud that we were able to integrate 5 distinct components of the system with one another through a central server despite working remotely with one another.
What we learned
One skill we really learned was how to work well as a team despite being apart. We all have experience working together in person at hackathons, but working apart was challenging, especially when we are working on so many distinct components and tying them together. We also learned how to implement machine learning and neural network models for video and audio analysis. While we specifically looked for masks and coughs, we can edit the code and train with different data sets to accomplish other tasks.
What's next for SafeTravels
We hope to touch up on our hardware design, improve our user experience, and strengthen our algorithms to the point where SafeTravels is commercially viable. While the core functionalities are fully functional, we still have work to do until it can be used by the public. However, we feel that SafeTravels can have massive implications in society today, especially during these challenging times. We hope to make an impact with our software and help people who truly need it.
Built With
c++
css
dart
html
javascript
kotlin
objective-c
python
ruby
swift
Try it out
github.com
safetravels.macrotechsolutions.us | SafeTravels | Restore confidence in safe public transportation | ['Sai Vedagiri', 'Gustav Hansen', 'Elias Wambugu', 'Arya Tschand'] | ['Best Hardware Hack presented by Digi-Key'] | ['c++', 'css', 'dart', 'html', 'javascript', 'kotlin', 'objective-c', 'python', 'ruby', 'swift'] | 35 |
9,965 | https://devpost.com/software/fractapp | About the project:
The appearance of messengers has changed social interaction. We communicate, consume content, and learn news within the same ecosystem. But until now, messengers do not allow you to be a means of payment.
Messenger as a means of payment.
To order food, call a taxi, or send money to relatives, we are required to download apps, link a card, and do a variety of actions.
The problem is that there is no unified ecosystem for payment systems and services.
Imagine that you could use most of the services via messenger.
For example, you went home from the office,
when communicating with a friend, you call a taxi, as well as order a dinner. Everything is debited from your linked account and you don't need to switch between apps every time.
In this case, the messenger becomes a super application that allows you to communicate with the service through a single ecosystem. There are already similar advances in this direction:
https://www.kfc.ru/news/chatbots
however, the lack of payment services in messengers creates additional complexity.
Messengers as a means of p2p interactions
When it comes to financial transactions, we have to use services and trust them. For example, a currency exchange where the user trusts the exchanger, which leaves this environment quite monopolized, thus the exchange rate difference remains high.
P2P interactions can help solve this problem. Users between each other can freely exchange currencies, fulfill agreements, take loans, etc. Messengers are the best place for p2p interactions, but without the absence of a third party, the market becomes uncontrolled, and fraud begins to prevail there.
This problem can be solved with the help of blockchain. This technology helps create atomic digital contracts that remove the need for a third party and do not reduce security.
For example, you need to exchange CAD for USD. You have found a bot that is engaged in exchange at an attractive rate. You send CAD to the digital exchange contract and receive USD. If the second party did not send USD to this contract, then your CAD will be returned to you because the transaction is atomic. This technology allows you to minimize the risks of fraud
.
Messengers as a Bank
Blockchain allows you to own your digital currency without intermediaries in the form of banks. This makes it possible to use payments with a smartphone and an app. In many countries, there is a problem of opening a Bank account, so the cryptocurrency integrated into the messenger can simplify the use of not only local, but also transcontinental payments.
Digital currencies also allow you to have easier access to investments, which is also a problem in some countries. (For example, uniswap allows you to send funds to a pool in order to earn passive profit)
Fractapp
Fractapp is a marketplace messenger with payment functionality and digital contracts based on blockchain technology.
There are similar applications on the market. WeChat is the main competitor that repeats most of the described functionality. It allows you to order a taxi, food, pay for purchases, etc.
It can be used as a payment method in China and some other countries, but WeChat is centralized and partially managed by China. The trust of other countries in the Chinese banking system is not always positive, so not all users and services can work within this ecosystem.
Also, WeChat does not use blockchain and does not have digital contracts, which creates a problem for p2p interactions.
Links
Github:
https://github.com/fractapp
Presentation:
https://docs.google.com/presentation/d/1tBn19cEQl6-MJhE3js5z0J06pLWHbDkwoFe9M3OMuUE/edit?usp=sharing
Built With
golang
javascript
leveldb
react
tendermint
Try it out
www.fractapp.com | Fractapp | Fractapp is a marketplace messenger with a built-in cryptocurrency wallet.It is built on a fractal network protocol, | ['Dzhafarov Elshan'] | [] | ['golang', 'javascript', 'leveldb', 'react', 'tendermint'] | 36 |
9,965 | https://devpost.com/software/exercise-together | Live Video Streaming
Video Room
Youtube enabled
Live Data Syncing
Search Bar
Authentication
DynamoDB
Home
Inspiration
We know that physical activity and social interaction have immense benefits*. During lockdown, many people aren't able to go to the gym or see any of their friends in person. I wanted to create an app to help people get their endorphins up and see their gym buddies across the world.
*
https://www.cdc.gov/physicalactivity/basics/pa-health/index.htm
,
https://www.mercycare.org/bhs/services-programs/eap/resources/health-benefits-of-social-interaction/
What it does
Exercise Together is a web app that allows 3 people to share video while watching the same Youtube exercise class and log their exercise activity.
It works like this:
A user visits the website and either creates and account or logs in. Amazon Cognito is used for authentication.
Once authenticated, the user is directed to a dashboard depicting the amount of time spent exercising with Exercise Together.
The user clicks join room and enters a room name. Up to 3 of their friends enter the same name to join the same room.
The users enter a video chat room and can search for a Youtube exercise video together by utilizing the search bar. Once everything is ready, they click start exercise to begin!
When the video ends, the user returns to the dashboard and their time spent exercising is logged.
Exercise Together is helpful when you want to exercise with your friends and simulates an exercise class you could do at the gym like yoga or pilates. This way people can work out with their friends that are all over the world!
How I built it
I used react and redux to build the front end of the project. For the backend, I used Serverless functionality like Cognito, AWS Lambda, S3, DynamoDB, and App Sync. Cognito verifies the user so that I can log exercise data for every user separately. All data is stored in DynamoDB. When people enter a room, Agora.io livestreams everyone's video to each other, so they can see each other's faces while React is used to display everyone's video. Every change you make to the search bar or clicking a Youtube video is logged to DynamoDB and is logged to all the other clients in the same room through AppSync. As a result, everyone in the room can see the same view at the same time. When you finish the workout, the data is sent to DynamoDB with the email you logged in as the key for the data. On the dashboard, a get request is made back to DynamoDB, so that you can see your exercise data for the whole week.
Challenges I ran into
I used a wide variety of services in order to develop the application that I wasn't experienced with previously like Agora.io, AWS Amplify, and AWS AppSync. Learning them was difficult and I went through a lot of troubleshooting with those services in the code. Moreover, syncing all these services together into one application was a large challenge, and I kept trying different pieces of code one at a time to try to get them to work together.
Accomplishments that I'm proud of
I was able finally learn how to use web sockets (AWS AppSync uses web sockets), which I'm really excited to use for my future projects! Web sockets are especially crucial for online games, which I want to make.
What I learned
I learned how to use a multitude of services and link them together. For example, I learned web sockets, Agora.io, AWS Amplify, and AWS Appsync. All these services would be immensely useful for my fire projects, so I believed that I really benefited from creating this project.
What's next for Exercise Together
Some extensions I'd like to make include:
Adding Fitbit and Apple Health functionality so that users who use them can all see data logged onto the website.
Making a sidebar like to that people could use to see who is currently online out of their friends list and join a room with them. In order to implement that, I would have to use AWS Neptune, which uses the same technology that Facebook uses for Facebook Friends.
Creating a phone app using React Native. I feel that more people would like to use a phone app rather than the website.
There are still
many bugs
, especially with the video streaming since I'm using a third party API and a free account for it. For example:
The video streaming only works chrome.
Entering the video room with more than one person is a buggy process. The way I get it to work is by duplicating the tab for each user entering and closing the previous tab.
The Cognito verification link redirects to localhost, but will confirm the account.
Built With
agora.io
amplify
appsync
cognito
cookie
dynamodb
graphql
javascript
lambda
materialize-css
node.js
react
redux
s3
serverless
ses
websocket
Try it out
exercisetogether.rampotham.com
github.com
www.youtube.com | Exercise Together | Exercise Together is a webapp that simulates your own group fitness class online with your friends | ['ram potham'] | ['The Wolfram Award'] | ['agora.io', 'amplify', 'appsync', 'cognito', 'cookie', 'dynamodb', 'graphql', 'javascript', 'lambda', 'materialize-css', 'node.js', 'react', 'redux', 's3', 'serverless', 'ses', 'websocket'] | 37 |
9,965 | https://devpost.com/software/virtual-world-interactive-visualization-of-covid-19-pandemic | Earth visualization w/ Covid data touch points, being viewed by an Avatar in Decentraland
Visualization hovering pointer over a country (Egypt) touch-point
Visualization room venue in context in the Decentraland virtual world.
Inspiration
Team member luliiana had a world-encompassing vision she has been developing of interactive visualization of networked data and AI analytics.
We worked together to pick a starting point to visualize the Covid-19 Pandemic Data, based on interaction with a virtual earth, to be implemented in Decentraland's virtual world.
What it does
Allows you to see countries on the globe, and, by touching them, see the current demographic and statistical data about the pandemic in each country.
How I built it
The Virtual World experience is built on the Decentraland.org platform, using Blender, Typescript, and the Decentraland SDK. The data comes from the Johns Hopkins University Covid-19 international database API, plus in some cases latitude/longitude data from a public Google country database.
Challenges I ran into
Initial attempts to use a more complete historical dataset were not successful because it was too large to consume. Fortunately the JHU database was found, which met the requirements pretty well.
Also, determining good ways to represent the most important data visually on the globe was challenging, and for the prototype I settled on % death rate controlling a rainbow color spectrum of the touch points' emission colors
, from red being highest to violet being lowest, although some of the data on the low end is questionable so there is a lot of violet. Also, some country pandemic data is incomplete in the JHU dataset, so I chose to use un-emissive dark items to represent these.
Accomplishments that I'm proud of
Being able to create a very presentable working prototype in about 2 weeks and deploying it for the public to visit in Decentraland.
What I learned
The data set is very large. The other types of data we will want may be challenging to access. Narrowing a broad vision into a focused prototype to demonstrate.
What's next for Virtual World Interactive Visualization of Covid-19 Pandemic
Being able to see other factors, and to drill into the data, to connect this with grassroots user-generated data, such as data from user mobile apps, and to make useful tools for users, medical researchers and providers, and agencies. The vision is to take this further so that one can drill down as a doctor or researcher toward more specific information, and also that an individual can submit data that ties into this at the grassroots level, but those extensions will not be completed by the hackathon deadline, of course.
Built With
decentraland
decentraland-sdk
typescript
unity
Try it out
play.decentraland.org
gitlab.com
docs.google.com | Virtual World Interactive Visualization of Covid-19 Pandemic | In a virtual world user experience, interact with a virtual Earth to investigate the pandemic across the world | ['Carl Fravel', 'Iuliiana Unesikhina'] | [] | ['decentraland', 'decentraland-sdk', 'typescript', 'unity'] | 38 |
9,965 | https://devpost.com/software/safecations-2020 | AdvisorTrip... SAFECATIONs are the Smartest Travel Trends for Tourism
Customer is the King if we provide all of the guidance & arrangement to serve.
Inspiration
Being stuck in these times have compelled us to rethink the new way of conducting business & Tourism business
What it does
We have to reinvent ourselves, form a common platform to tackle this pandemic like a world supermarket e.g IATA
How I built it
After reading several Government policy, lonely planet, outlook travelers, other journal trying to come with SOLUTION
Challenges I ran into
Getting the data, facts and Figures were challenging, but still on the way manage to get a blueprint of Advisortrip.
Accomplishments that I'm proud of
manage to get some website and promote on the lines of Tripadvisor, that people worldwide acknowledge Advisortrip
What I learned
A LOT OF WORK needs to be done and seeking knowledge, information, guidance, protection & arrangement
What's next for SAFECATIONS...2020
Travel & Experiences
SAFECATIONS Are Smartest Travel Trend After months of staying at home during the pandemic, since the coronavirus outbreak—canceled or postponed trips, closed hotels, and halted flight routes. But as the weather warms up and parts of the world slowly begin to reopen, travel still seems to be very much on the table in the coming months. Travelers will just need to be extra cautious as IATA Launches Travel Regulations Map.
With business trips all but wiped from corporate expense reports, corporate business travel industry stakeholders have been thrust into an unprecedented scenario. Uncertainty is at an all-time high, but what is clear is that business travel management FinTechs aren’t sitting idly, Several tech firms are hoping the travel industry will rush to buy digital tools designed to reduce how much contact travelers have with surfaces touched by strangers and how often they interact face-to-face with staff. Yet it remains unclear what’s actually happening and what’s hype from vendors. The new ICAO report aims to support the aviation industry in restarting the international air transport system and aligning its global COVID-19 recovery.
A decision on restarting international flights might not entirely be India's call, given that this depends mostly on the destination country’s assessment of India being safe and consequent permissions that need to be issued to Indian carriers to fly to their airports, With the entire travel industry essentially on pause and no clear answer about when things will return to normal, one thing is certain: Travelling in a post-COVID-19 world will not be the same as before, WTTC has come out with the world's first global safety stamp to recognise ‘Safe Travels’ protocols around the world. Saudi Arabia, Barcelona, Portugal, Cancun and Seville are the first to adopt these private sector protocols &/ stamps.
While pandemic-era policies are still being developed at hotels around the globe and will no doubt vary widely, it's safe to say that guests will see big changes the next time they check in anywhere, Covid-19 has put the travel to a halt. While experts agree the tourism industry remains in flux, there are early signs of adaptation and resilience that are fueling consumer confidence, Air travel is set to undergo massive changes in the near future. From thermal scans and sealed meals to immunity certificates, the new age of sanitised travel will be unlike anything we have seen before. Therefore we can broadly classify into 3 category as:
The young professional Age: 20-40 years old
The local family Age: 25-50 years old
The backpacker Age: 18-28 years old
WTTC alongside our Members, governments, health experts and other industry associations are working together to achieve effective recovery protocols by developing meaningful action plans that optimise sector-wide recovery efforts
We always strive to make travel safer and convenient for you, which is why we launched the safety program, in collaboration with our key travel partners. In our endeavour to make travel safer for you at every step, we now bring you helpful tips and guidelines for your future travel. From staying in hotels to travelling via air, train, road to shopping and dining, That COVID 19 is impacting travel and tourism like no other episode in recorded history is now understood by all. Now is the time to look ahead, post COVID times, and Industry has been caught in a midst of a storm, that is raging across the economy.
Tourism is invariably the first to get affected and the last to recover. There is stress How will travel and tourism plan out once the lockdown is partially or fully open . The last few weeks, every sector of the economy has come under acute stress. Undoubtedly, the travel, tourism and hospitality vertical has been more hit than others, being in the front end from ensuring price competitiveness, offering an equally superlative experience as by competing destinations, to keeping its beaches clean, hygiene, safety standards are all the hour of need
WITH the arterial nodes of the world in a state of total lockdown, the travel and tourism sector is not only being mauled in the short term, but will also experience the ripple effects and Govt across the world has set the pace with not only emphasising the importance of domestic tourism but also giving good reasons for doing so seeking holistic development for world tourism, which we believe is increasingly all embracing, stretching across sectors of the economy and society, ‘Joining the Dots’ in industry and government for holistic and all-embracing development of the tourism sector has long been the big puzzle for stakeholders, The world traveller has truly come of age. They are travelling to the distant corners of globe and showing a never before tendency of embracing the unknown. This major transformation has changed due to technology and digitalization.
The media has been abuzz with speculation on the fate of the beleaguered airline. Having stopped its operations, a dwindled supply has caused a considerable spike in airfares on key routes, Concern looms over the fate of the vacation season as the world aviation sector continues to battle serious headwinds. Uncertainty around the revival of Tourism, we have to stand strong in putting forward the concerns of the Tourism Industry and letting them know what we are expecting. We have to do our bit to make sure that Tourism survives these difficult times. Let us come together as one voice and share our vision and strategy to overcome crisis. I have accepted the fact that I have lost all and there is nothing more to lose. I am an entrepreneur, reborn, starting from ground zero and rebuilding upwards with experience of more than 23 years serving Worldwide Traveler, makes me beleive in my moto as we are left with us high and dry,
I am based in New Delhi and plan is to build world's most comprehensive & user-friendly Travel Portals, aiming to be a one-stop-shop , or rather a travel supermarket for anyone wishing to travel within or from India-regarding hygiene, cleanliness, safety for guest travelling & promote sales & marketing of hotels, resorts including sale & purchase of properties pan India, Re-engineering /restructuring of Finance and Artificial Intelligence embedded on our website. The strategy is to offer highly personalized and tailored solutions to meet the needs of today’s evolved traveller, both in the B2B and B2C guest. Connect with me today on +919958093760, email :
[email protected]
. Sandip Shaw, India.
Built With
google-research-search
journal
policy
regulations.gov
Try it out
safecations.website2.me | SAFECATIONS By AdvisorTrip | Lockdown is for Body not for Mind & Soul.. Aways keep it Open, benefits of the Covid-19 epidemic is a total rethink about how we live, work & travel. Tourism is to adopt, adapt & accomodate. | ['Sandip Shaw'] | [] | ['google-research-search', 'journal', 'policy', 'regulations.gov'] | 39 |
9,965 | https://devpost.com/software/showroom-by-she | Project name: showroom by SHE
Team: Yuree Hong, Tilman Schlenker, Sean Robert Huff
Project Description: Reinventing co-innovation units to empower problem-solving at a global scale during the era of COVID-19
Inspiration
The global COVID-19 pandemic has acted as a driving force behind the large number of hackathons conducted worldwide thus far in 2020. The digital nature of these hackathon events has allowed eager innovators to participate from any location in the world. NASA, the United Nations and the European Commission have so far supported global virtual hackathons accommodating over 42,000 participants all together.
Gathering this many eager participants is certain to produce loads of prize-winning ideas worthy of practical implementation. However, there is unfortunately no structured way to give life to the award-winning ideas that could benefit the changing world around us. Furthermore, these innovators often lack experience in the crucial steps that take place after garnering initial attention or praise. This experience gap can leave innovators and potential business partners separated not only physically but also in terms of skills and background.
Consequently, the ability of innovators and potential business partners to connect and facilitate the development of market-ready services is sorely lacking at this time.
This stands in contrast to the appetite of corporations to develop programs, both internally and externally, that respond to the issues raised by social distancing, border closure, and other realities of the COVID-19 world. These corporations are in urgent need of new solutions that not only stabilize internal operations but also foster innovation in a time of crisis.
Showroom by SHE offers a platform to facilitate the co-innovation process from ideation to launch, bridging the gap between innovative solutions worthy of practical implication and the needs of corporate innovators.
What it does
The initial value that Showroom adds to the process of implementing innovative ideas lies in facilitating the conversations and collaboration that must take place once an idea leaves the ideation stage. To bridge innovators and potential business partners, the Showroom mobile platform allows innovators to demonstrate relevant and distinguishing information to potential business partners.
Outsiders can then view this information in a streamlined and efficient fashion, allowing investors, corporates, incubators, and accelerators to find solutions that match their preferences. Within the Showroom interface, a space will be dedicated to factors like employee diversity, skillset balance, and whether or not an idea contributes to UN Sustainable Development Goals.
Key to the successful matchmaking process is the relevance algorithm used to suggest or front-load ideas relevant to user needs and preferences. This relevance score will not remain static, but adaptive to the use pattern of both parties and the development stage of the idea.
Of course, the matchmaking process is not without risks for both parties. Innovators must know that their ideas are safe from copy-cats or intellectual property theft. For their part, Investors must be able to run detailed feasibility checks that ensure an idea is worthy of their attention.
Therefore, Showroom will incorporate immutable distributed ledger technology (i.e., blockchain) to address these concerns and minimize the risk of conflict of interest. Blockchain will act as a secure means of sharing the right information with the right parties at the right time. Additionally, secure chat history will be used not only to support the ease and dependability of communications, but also facilitate the entry and exit of new parties as the process of idea implementation unfolds.
At first, Showroom’s secure digital environment will enable requests for access and supplemental information as both parties develop an understanding of their mutual fit. Afterwards, this digital infrastructure allows outside parties to be included into the innovative process to facilitate procurement and other activities. To serve as a guide for entrepreneurs and business partners alike, Showroom will facilitate pre-set standardized processes that establish checkpoints and provide an accountable means of task management.
How I built it
Mobile app:
We first developed a user-centric design based on the survey we ran with the potential target users. Through this survey, we learned that corporate and other potential idea buyers approach an idea in a two-stage process. First, they would like to see and understand clearly what ‘problem’ the ideas are solving. Then, buyers or investors place their focus on the core innovation associated with each idea.
In the interest of sustainable and socially responsible business practices, we then redirects buyers and investors to a subsequent step: considering whether or not an innovative idea furthers sustainable development (e.g., UN SDGs) or satisfies checklists surrounding the topics of diversity, inclusion, and skillset balance.
Deep tech:
At present, the deep tech to be used in our idea exists in the conceptual stage. We will further develop the relevance-matching algorithm through gathering and analyzing quality, improving the relevancy score over time. We plan to leverage existing public blockchain technologies to support the hashing algorithm that facilitates data encryption and user-specific access layers.
Challenges I ran into
One challenge encountered during the design of the product was producing the product and business model within the three weeks allotted. Because we were also juggling other responsibilities, the team had to collaborate remotely and work over the weekends to make things work.
Key to overcoming this challenge was the initial process of defining a team member’s roles and responsibilities in a way that allowed each team member to know what is expected of them. This process also allowed team members to feel as though they are making genuine contributions. Luckily, having a team full of self-disciplining individuals makes organizing workflows much easier.
Furthermore, another core element of our approach to the constrained time was the practice of remaining focused on the core problem we are trying to solve. At each stage of the ideation and execution process, keeping the question of “What problem are we really solving?” at the forefront of our minds was key to guiding our discussion and collaboration.
Accomplishments that I'm proud of
The accomplishment we are most proud of is building a scalable prototype from zero. One aspect of our prototype building that we are most happy with was developing an idea that remained true to the needs of potential users. Online research, questionnaires, and consulting with industry experts was key to building a prototype that worked toward solving problems experienced by real people.
Another component of building our prototype was the approach that we took to making it. Rather than focusing on dramatic innovation that stretched the bounds of what was technically possible or implementable, we thought that making a series of small process improvements could add more value to the industry. Packaging these incremental changes within our prototype seemed like the best way for us to respond to the business climate as it is shaped by COVID-19.
What I learned
We’ve learned that the process of working as a virtual team can be uneasy. This is especially true in terms of time management and communication, which are insights that we plan to incorporate when remaining focused on the problems that we can solve for our users through the prototype we’ve created.
Ultimately, we are thankful for the SOS Hackathon’s Discord team channel as it was helpful in streamlining workflows and saving each team member’s time.
What's next for showroom by SHE
So far we’ve developed a prototype of the showroom mobile app, which has features that showcase award-winning solutions and startups built during the COVID-19 pandemic. The next version of the mobile app will implement development of features surrounding user preferences, registration, and uploading information necessary to the verification process. To this end, we began the process of beta tester registration during the hackathon.
Following that, attention will be devoted to development of the Showroom web platform. The web platform will incorporate e-procurement standards widely used within the industry. It will also facilitate the legal and financial documentation portion of the procurement process.
Lastly, the Showroom web platform will assist in digital purchase ordering, auction, and payment processes. When a financial agreement is reached between both parties, Showroom’s secure payment system allows for milestone-applied payments. This payment system accompanies the business arrangement all the way from the initial stages of running a pilot until the eventual purchase, a process that usually takes six months to a one year.
At its core, Showroom will act to reduce the hassles caused by complicated legal and financial processes currently used during the procurement stage.
Built With
elm
figma
firebase
google
node.js
parcel
siteground
Try it out
bit.ly | showroom by SHE | Reinventing co-innovation units to empower problem-solving at a global scale during the era of COVID-19 | ['Yuree Hong', 'Seán Huff', 'Tilman Schlenker'] | [] | ['elm', 'figma', 'firebase', 'google', 'node.js', 'parcel', 'siteground'] | 40 |
9,965 | https://devpost.com/software/community-map-gzfnqv | Inspiration
Creating a community of various projects and services - ecosystem where projects grow and develop easier.
What it does
Location-based software platform acting as a
hub for various services
helping people in certain areas to
get better visibility, communicate and collaborate
more efficiently.
It’s basically an
open map
-like system allowing people and local (or global) businesses to participate in it using some of the services it provides. Part of them are built-in and developed by us, others -
by partner projects and developers
thus making the platform extendable and adaptive to various environments and conditions.
One of the biggest problems with crisis projects and initiatives is actually
segmentation
and lack of critical mass of user to get it going, too big Time to Market.
That's why we shifted our focus to helping other projects develop by providing the base to build upon.
It's not just the crisis project - such ecosystem is needed for more effective society that would be ready and more responsive for any current or future situation.
The information in the platform is anchored to a certain physical
locations
or
areas
(location + radius). It can also be seen as
layers tagged with category/topic
.
The users are able to
upvote the information
they like or find important. This and filtering the relevant content helps to
reduce the informational noise
to a much more bearable level.
The short list of relevant projects include:
Local community volunteers
Online ordering and delivery
Social games and storytelling
Business survival
Community journalism
Local crowdfunding
We now have 2 ways of integration with 3rd parties - React-based SDK (powerful and flexible) and embedding with iframe (easy) along with public REST API.
We managed to create several important partnerships in the last month with projects using Open Community Map as service provider.
One of them is
Non-Zone
project - the global map for experiential and solo-travelers - our platform served efficiently for storing and retrieving project data along with fully customizable UI - dark theme of the map, their own design of all main components and controls.
How we built it
Google Maps API, Firebase, React, Typescript
Challenges we ran into
Finding the right niche to focus on.
Building reusable technical stack providing enough value.
Accomplishments that we're proud of
Growing community around the project. Finding strengths to keep going.
Creating React-based SDK allowing powerful integrations.
Built partnerships with real-world projects, fulfilling their needs for custom UI and behavior with our SDK thus validating the idea.
What we learned
There are many like-minded people out there, trying to improve the world around them. No need to compete with them, better make friends and grow together.
What's next for Community Map
Building bigger community around the project
Building flexible enough technical solution that would work for most projects
Creating more value for partners and end users
Join our Community!
Feel free to join our
Slack workspace
- we're looking for partners, supporters and collaborators!
Built With
firebase
google
map-embedding
maps
public-api
react
Try it out
communitymap.online
github.com
www.opencommunitymap.org
docs.google.com | Open Community Map | Platform for building local community and location-based services. Partnerships with other projects. | ['Dmitry Yudakov', 'Ivan Orlović', 'George Petrov', 'Ivan Stavrev', 'Станко Йорданов', 'Mohamed Hany'] | [] | ['firebase', 'google', 'map-embedding', 'maps', 'public-api', 'react'] | 41 |
9,965 | https://devpost.com/software/pandemic-patch-augmented-reality-game | Zeemz Banner
Zeemz: Pandemic Patch "AskCo19 Island" Map
Zeemz: Pandemic Patch logo
RESQ-Zeemz: Pandemic Protection
Inspiration
Disaster happens.
Collectively, we are feeling the strain from this global pandemic, this natural disaster, the Coronavirus. People everywhere are experiencing the economic uncertainties and consequences. In the United States,
more than 40 million people are unemployed
due to COVID-19, and around the world,
1.5 billion children are out of school
because of school closures.
145 countries closed their borders
, and implemented curfews and mandatory quarantines, and
43 countries implemented shelter-in place orders
. Shutting down the global economy comes with the equally dire consequences, including job loss followed by economic recession. Historically recessions have been linked with
increased domestic abuse
,
higher rates of suicide
, and
more risk for mental health issues
, and already we are seeing some of these same effects.
Quarantines are the only a stopgap solution to Stopping the Spread
.
Yesterday, we sat with the
Sword of Damocles
, the cold steel “reminder” that used to dangle precariously, that knife edge of “potential pandemic” that swayed overhead. Today, we know well the pandemic consequences of concomitant behaviors, laissez faire attitudes, and packing people into airplanes like sardines into cans. Coronavirus. We weigh our life-altering decisions, carefully, gathering the best information possible. Fortunately, we live in a technological epoch where we have the computational power to focus on any single problem to create actionable solutions.
The global crisis proves the need for disaster readiness programs that teach critical thinking and stress reduction through informed behaviors. Social distancing, face masks, increased hygiene awareness, and self-isolation are all behavioral changes that have been instituted since the pandemic began. These behaviors come about through scientific guidelines suggested by the World Health Organization and are confirmed by scientists globally. Data is the greatest tool that we have in the fight against coronavirus. As new data is obtained and understood, we create new solutions that reflect the current best practices.
How do we get that information to/from the public?
Zeemz: Pandemic Patch
is a gamified way for doctors and patients to interact without the need for unnecessary hospital visits. The Zeemz Team is a group of international volunteers who want to build an augmented reality, blockchain game that doubles as a diagnostic tool to reduce the strain on hospitals worldwide.
What it does
Zeemz: Pandemic Patch is an augmented reality, blockchain game that doubles as a diagnostic tool..
For the purpose of COVIDathon, we're developing a blockchain system that rewards verified physicians, who are active answering questions on the AskCo19.com network, with ASK and ZMZLR tokens. The public users, who choose to login, will receive ASK and ZMZLR tokens for asking coronavirus questions. Pandemic Patch teaches behaviors that will help reduce the spread of Coronavirus by preventing unnecessary hospital visits, thus Flattening the Curve, and reducing/preventing strain on hospitals.
After COVIDathon, in Pandemic Patch, players will be introduced to a Coronavirus scenario and given multiple choices. Each choice will trigger a consequence that may/may not Flatten the Curve. When players make decisions that Push the Peak, they are subsequently presented with another set of decisions they can take to Flatten the Curve. Players that take actions to Flatten the Curve, are rewarded with in-game loot. The desired game actions will be customizable by doctors, while our AI (IRIS-med) will customize training based on best data, prior decisions, and doctor recommendations. The game actions will be rewarded with cryptocurrency that can be used to buy/sell/trade in-game items. We're working on the smart contracts behind the game, utilizing the latest coronavirus information from
AskCo19
, developing the Zeemz Quest Maker module for doctors to create augmented reality actions the patients can take. In the near future, we’ll model those actions with
IRIS-med
, the AI running ZEEMZ Underwater Laboratories (the reward system controller).
Pandemic Patch Walkthrough - 2 Minute
Pandemic Patch Walkthrough - 5 minute
How we built it
HTML, CSS, JS, React, Ethereum (Solidity), Firebase, Infura, Web3, love, coffee, Zoom, Github, Discord, Google Drive, Slack, Flow (Cadence)
Intended Initial Flow of Pandemic Patch website
Sign up
a. Patient
b. Physician
Patient AskCo19 Island Map - default Patient Home
a. Hospital - connects to IRIS-med, relays patient quest status to AskCo19 AI
b. Pharmacy / Stores - issuing prescriptions across borders is an interesting issue, we haven’t solved yet; so, use caution while visiting stores
c. Grocery - order your groceries online; play health games and win tokens that can be redeemed for groceries
d. Park - stretch your legs, learn about nature (plants and animals), relax with virtual friends during “movie night at the park”
e. Energy Station - Gas, electric, human energy boosts, learn about alternative energy and level up; get daily Kitty Vortex energy boost (CryptoKitties integration)
Physician AskCo19 Island Map - default AskCo19 Island Hospital (aka AI Hospital)
a. Office - connects to IRIS-med (Zeemz AI), relays doctor quest status to AskCo19 AI
b. Exam rooms - tokenized telemedicine to reward doctors & patients for their time & data
c. Personal Notes - encrypted notepad for doctors to keep their findings before they’re ready to share to IRIS-med
d. Emergency - report an emergency to local emergency services
Build Notes:
Zeemz: Pandemic Patch is a WIP that is not ready for deployment. That said, significant pieces of the Pandemic Patch puzzle have already been assembled. They are located in the Github repo (see below) for anyone to use. Finally, we're working on the first scenarios for agent-based decision trees where the patient's must decide to wear face mask, observe social distancing, or wash their hands. These initial scenarios will act as models for the design of the Zeemz: Quest Maker module where doctors will be able to interface with their own AI, create tasks and task series, and examine AI findings and patient quest results.
In Zeemz: Pandemic Patch, players earn cryptocurrency while teaching & learning about Coronavirus. New players may not know what to do with their newly earned cryptocurrency. In Zeemz: Pandemic Patch, players that click on the Vault icon will be taken to the DeFi section of the Zeemz game. In the Vault, they'll be able to learn about traditional banking as well as banking alternatives like Bitcoin. We're interested in integrating with AAVE protocol to provide a testnet learning experience for our players to go on DeFi quests where they'll earn mainnet tokens (ASK,
ZMZLR
, and
ZMZB
). After playing Zeemz, players can make better decisions in how to use AAVE or other defi solutions.
Build Links
Zeemz: Pandemic Patch github
ZPP
integration AskCo19.com
IRIS-med
IRIS AI medical component
Zeemz Core
Solidity contracts
Zeemz Announcement github
Challenges we ran into
Zeemz: Pandemic Patch is a fledgling project with ambitious goals and an international team of volunteers. We faced difficulties coordinating meetings around international time zones and varied work schedules. We also faced challenges reducing the larger game system,
Zeemz: The Versipisces Secret
, into a faucet wireframe and a hospital RPG
Zeemz: Pandemic Patch
. Learning to articulate the elevator pitch helped with pin-pointing the elements the faucet needed. We also had issues with the ABIs not functioning as expected. We also ran into some issues testing AAVE and were unable to get the testnet to function (couldn't get passed the load screen) with our equipment.
Accomplishments that we're proud of
The Zeemz Team is proud of participating in a global effort to address the CoVID-19 crisis. While the Lockdowns pulled us from our normal routines, we’ve met and brainstormed with amazing, talented people with their own visions, and desires for a more prepared future. With an international team of experts, we've converted a privately developed pet project into an open source project.
What we learned
The world is ready for augmented games that teach critical thinking in disaster situations. And, the economic crisis has shown that people are ready for online ways of learning skills and earning incomes.
What's next for Pandemic Patch - Augmented Reality Game
Zeemz Team is working on a revolutionary project to fully gamify life.
Imagine receiving completion certificates from schools by fulfilling class requirements through game play. The long term goal is to gamify learning, create opportunities for the students to make decisions, learn from the consequences, while also teaching them about digital assets and financial management.
[ ] The game will look into adapting the scenarios to culturally specific environments in order to create relatable scenarios for players all over the world. This will increase complexity, but also real life accuracy of the game's predictive power.
[ ] Connect the game to the blockchains it will run on and integrate with: Ethereum (game logic, faucet tokens (ASK, ZMZLR, ZMZB)), Flow (Zeemz Characters and Resources), Singularity AI (AI Marketplace)
[ ] Integrate other blockchain games (CryptoKitties, CryptoZombies, Decentraland, Sandbox)
[ ] Integrate AAVE protocol for lending/borrowing DeFi Quests
[ ] Integrate other simulations (school, government, shopping)
[ ] Create new simulations gathered from data collected in the Quests
[ ] Integrate AR peripherals to collect patient actions
[ ] Integrate AR assets for player interactions (ex. the view from Zeemz: Space Observatory
https://go.echoar.xyz/ihm4
)
[ ] Connect the game to IRIS-med the AI we plan on building with SingularityNET’s AI developer’s platform
[ ] Deck out the expansion pack Zeemz: After Lockdown
[ ] Use 20% of in-game fees to help
RESQ
plant trees to prevent the spread of other viruses as result from loss of wildlife habitat. These locations will become Zeemz Agroforests where Zeemz players can unlock quests about the natural habitat, exercises, therapy, meditation, and climate positive actions.
Built With
coffee
css
discord
ethereum-(solidity)
firebase
flow
fontawesome
github
google-drive
html
infura
javascript
love
react
slack
web3
zoom
Try it out
www.zeemz.xyz
github.com
github.com
github.com
github.com
github.com
github.com
discord.gg | Pandemic Patch - Augmented Reality Game | Stop Hospital Congestion & Flatten the Curve by Playing Pandemic Patch | ['Monique Finley', 'srihari kapu', 'Edgard Jan Angsinco', 'Grace K', 'Alec Balasescu, Ph.D.', 'Pradhumna Pancholi', 'Nauris Dorbe', 'aradhana chaturvedi', 'Raghu Ramaiah', 'Rachel J. Salomonsen', 'Brahma Sen', 'Sarah Dyson Ph.D.'] | [] | ['coffee', 'css', 'discord', 'ethereum-(solidity)', 'firebase', 'flow', 'fontawesome', 'github', 'google-drive', 'html', 'infura', 'javascript', 'love', 'react', 'slack', 'web3', 'zoom'] | 42 |
9,965 | https://devpost.com/software/castme | Main Menu
Motion capture streaming demo
Female avatar professor teaching
Male Avatar professor teaching
presentation screen
view from the back
View from the middle
Customize Character
castme.life website
Splash Screen
Inspiration
Video lectures are present in abundance but the mocap data of those video lectures is 10 times ahead in the form of precise data. High quality and a large amount of data are one of the requirements of best argmax predicting ML models, so we have used here the mocap data. Despite the availability of such promising data, the problem of generating bone transforms from audio is extremely difficult, due in part to the technical challenge of mapping from a 1D signal to a 3D transform (translation, rotation, scale) float values, but also due to the fact that humans are extremely attuned to subtle details in expressing emotions; many previous attempts at simulating talking character have produced results that look uncanny( two company- neon, soul-machine). In addition to generating realistic results, this paper represents the first attempt to solve the audio speech to character bone transform prediction problem by analyzing a large corpus of mocap data of a single person. As such, it opens to the door to modeling other public figures, or any 3D character (through analyzing mocap data). Text to audio to bone transform, aside from being interesting purely from a scientific standpoint, has a range of important practical applications. The ability to generate high-quality textured 3D animated character from audio could significantly reduce the amount of bandwidth needed in video coding/transmission (which makes up a large percentage of current internet bandwidth). For hearing impaired people, animation synthesis from bone transform could enable lip-reading from over-the-phone audio. And digital humans are central to entertainment applications like movies special effects and games.
What it does
Some of the cutting edge technologies like ML and DL have solved many problems of our society with far more better accuracy than an ideal human can ever do. We are using this tech to enhance our learning procedure in the education system.
The problem with every university student is, they have to pay a big amount of money for continuing to study at any college, they have to interact with the lecturers and professors to keep getting better and better. We are solving the problem of money. Our solution to this problem is, we have created here an e-text data to human AR character sparse point mapping machine learning model to replace the professors and use our ai bots to teach the same thing in a far more intractable and intuitive way that can be ever dome with the professors. The students can learn even by themselves AR characters too.
How we built it
This project explores the opportunities of AI, deep learning for character animation, and control. Over the last 2 years, this project has become a modular and stable framework for data-driven character animation, including data processing, network training, and runtime control, developed in Unity3D / Unreal Engine-4/ Tensorflow / Pytorch. This project enables using neural networks for animating character locomotion, face sparse point movements, and character-scene interactions with objects and the environment. Further advances on this project will continue to be added to this pipeline.
Challenges we ran into
For Building, first of all, a studio kind of environment, we have to collect a bunch of equipment, software, and their requisites. Some of them have been listed following.
Mocap suite- SmartSuite Pro from
www.rokoko.com
- single: $2,495 + Extra Textile- $395
GPU + CPU - $5,000
Office premise – $ 2,000
Data preprocessing
Prerequisite software licenses- Unity3D, Unreal Engine-4.24, Maya, Motionbuilder
Model Building
AWS Sagemaker and AWS Lambda inferencing
Database Management System
Further, we started building.
Accomplishments that we're proud of
The thinking of joining a virtual class, hosting a class, having a realtime interaction with your colleagues, talking with him, asking questions, visualizing an augmented view of any equipment, and creating a solution is in itself is an accomplishment.
Some of the great features that we have added in here are:
Asking questions with your avatar professors,
having a discussion with your colleagues,
Learning at your own time with these avatars professors
and many more. some of the detailed descriptions have been given in the submitted files.
What we learned
This section can be entirely technical. All of the C++ and Blueprint part of a Multiplayer Game Development.
We have started developing some of the designs in MotionBuilder, previously we have been all using the Maya and Blender.
What's next for castme
1. We are looking for a tie-up with many colleges and universities. Some of the examples are Galgotiah University, Abdul Kalam Technical University (AKTU), IIT Roorkee, IIT Delhi.
2. Recording an abundance amount of the lecture motion capture data, for better training our (question-answering-motion capture data) machine learning model.
Try it out here:
Intro Demo (2 min):
https://youtu.be/Xm6KWg1YS3k
Complete Demo:
https://youtu.be/1h1ERaDKn6o
Download pipeline here:
https://www.castme.life/wp-content/uploads/2020/04/castme-life%20Win64%20v-2.1beta.zip
Documentation to use this pipeline:
https://www.castme.life/forums/topic/how-to-install-castme-life-win64-v-2-1beta/
Complete source code (1.44 GB):
https://drive.google.com/open?id=1GdTw9iONLywzPCoZbgekFFpZBLjJ3I1p
castme.life:
https://castme.life
More info
For more info on the project contact me here:
[email protected]
, +1626803601
Built With
blueprint
c++
php
python
pytorch
tensorflow
unreal-engine
wordpress
Try it out
castme.life
www.castme.life
github.com
www.castme.life | castme | We are revolutionizing the way the human learns. We uses the Avatar Professors to teach you in a virtual class.Talk to your professors,ask questions,have a discussion with your colleagues in realtime. | ['Md. Zeeshan', 'Rodrixx Studio'] | ['The Wolfram Award'] | ['blueprint', 'c++', 'php', 'python', 'pytorch', 'tensorflow', 'unreal-engine', 'wordpress'] | 43 |
9,965 | https://devpost.com/software/eurastex-legal-utility-tokens-issuer | Built With
eth | --- | --- | [] | [] | ['eth'] | 44 |
9,965 | https://devpost.com/software/myfacemaskapp | Prototype model 1 "Dany" pink opaque
Prototype model 1 "Dany" white opaque
AiRFace.it (App)
A new customizable, economic and ecological mask tailored to you
Millions of disposable masks are thrown out every day, which in addition to having a significant environmental impact on nature also have a high monetary expenditure.
To meet all these needs, the
AiRFace.it App
team has developed a project that allows the customization of the mask or the creation of transparent masks that can adapt to the features and therefore customizable by scanning the face in 3D.
This is
AiRFace.it App
, a mobile application that can be downloaded free on IOS and Android devices.
The scanning process is quick and easy: it happens through the use of the mobile phone camera.
In addition, the material used in the production of the masks, biodegradable and hypoallergenic allows a repeated use, being able to sterilize the washing at high temperatures .
The mask is therefore ergonomic and environmentally friendly, because you just need to change the filters.
The 3D model can also be printed from the comfort of the house without leaving. The advantage is that, being custom-built, the signs released by normal masks after hours of use will be reduced.
Considering the difficult and delicate situation we are experiencing,
AiRFace.it App
would ensure protection and prevention with zero impact on the environment and would meet individual needs.
It would be an optimal solution, without going out to buy it if you already have a 3D printer or otherwise we print and deliver directly to your home! The App is free as well as the availability of the various basic 3D models.
Ergonomic
My face mask with its 3D scanning process, allows you to create ergonomic masks suitable for every feature of your face. This custom adaptation will allow you to reduce the marks released by normal masks after hours of use.
3d Printer
The realization of the 3D masks allows anyone to create them independently.
In fact, a 3D printer and a mobile phone are enough to quickly create personalized templates based on the desired quantity.
Ecological
The material of these masks is absolutely ecological, a very important feature if you consider high consumption
daily, especially in
some sectors.
In fact, these masks can
be reused several times later
washing at high temperatures which allows sterilization.
Trasparent
One of the main features of AiRFace.it is transparency.
The idea of making these masks with a transparent material was born mainly from the awareness of the importance of lip reading for deaf people.
Privacy
For us your privacy comes first, that's why AiRFace.it complies with all Gdpr (
https://gdpr.eu
) regulations and no personal data will be transmitted.
The problem solved by the project
With AiRFace.it App we want to find the solution to the problem of the availability of personal protection devices for everyone, in fact thanks to this app anyone can print his mask, following our guidelines for the use of safe and biodegradable materials, with their own 3D printer,only if you are certificated member of our network to ensure the quality and safety of the mask produced according to all applicable regulations, so that you have a mask for you and your family that can last for all this complicated period that we are living.
The solution you bring to the table
AiRFace.it is installable for free on all iOS and Android devices that have compatibility requirements and in a simple automated way and can create your own 3D mask and send it directly to the 3d printer certificated
The impact of the solution on the crisis
The idea behind this project is to create a safe, cost-effective product that respects nature for us and future generations
The needs to continue the project
This project needs funds in order to create the best mask with the best materials and for this a significant investment in research and development in addition to wanting to make and print masks to those who do not have the opportunity to have their own 3D printer
The value of your post-crisis solutions
We believe a lot in this project because it is a valuable help to anyone who does not have the opportunity to always have a disposable mask and this mask can be reused even after this crisis (hopefully it ends as soon as possible) in any sector that needs personal protection devices
The AiR net blockchain
We are creating a network of certified makers to be able to print masks for doctors and nurses for free to thank them for their valuable help.
We are working with other startups to create a network of certified makers using the Ethereum blockchain to create smart contracts in order to be able to transparently verify the entire network.
We are creating a decentralized system that is based on blockchain eos to ensure the total transparency of certification of the materials used to print the masks.
Currently our team also collaborates in the creation of protective equipment for doctors and nurses to thank them for their difficult work.
Built With
blockchain
c#
html5
java
javascript
kotlin
objective-c
python
swift
Try it out
airface.it
bitbucket.org | AiRFace.it App | A new customizable and ecological mask tailored for you | ['Massimiliano Pizzola', 'Daniela Tabascio'] | [] | ['blockchain', 'c#', 'html5', 'java', 'javascript', 'kotlin', 'objective-c', 'python', 'swift'] | 45 |
9,965 | https://devpost.com/software/remote-elderly-home-care-via-privacy-preserving-surveillance-6etr18 | Privacy preserving face detection at home
Plug and Play AI Device Discovery
Ambianic Home Page
Person Detection Indoors
Person Detection Outdoors
Inspiration
COVID19 isolated at home many of us, including our elderly parents and grandparents. Not being able to check on them regularly elevates the risks that they are exposed to such as falls, gas leaks, flooding, fire and others.
What it does
Ambianic.ai is an end-to-end Open Source Ambient Intelligence project that removes the stigma associated with surveillance systems by implementing privacy preserving algorithms in three critical layers:
Peer-to-Peer Remote access
Local device AI inference and training
Local data storage
Ambianic.ai observes a target environment and alerts users for events of interest. Data us only available to homeowners and their family. User data is never sent to any third party cloud servers.
Here is a blog post that goes into the reasons why we started this project:
https://blog.ambianic.ai/2020/02/05/pnp.html
And here is a technical deep dive article published in WebRTCHacks. It clarifies that it is absolutely possible to build a privacy preserving surveillance system, despite popular cloud vendors making us believe that all user data belongs safely on their cloud servers:
https://webrtchacks.com/private-home-surveillance-with-the-webrtc-datachannel/
How we built it
Ambianic.ai has 3 main components:
Ambianic.ai Edge: a Python application designed to run on an IoT Edge device such as a Raspberry Pi or a NUC. It attaches to video cameras and other sensors to gather input. It then runs inference pipelines using AI models that detect events of interest such as objects, people and other triggers.
Ambianic.ai UI: A Progressive Web App written in Javascript using Vue.js and other front end frameworks to deliver an intuitive timeline of events to the end user.
Ambianic.ai PnP: A plug-and-play framework that allows Ambianic UI and Ambianic Edge to discover each other seamlessly and communicate over secure peer-to-peer protocol using WebRTC APIs.
Challenges we ran into
Challenges include selecting high performance, high accuracy and low latency AI models to detect events of interest on resource constraint edge devices.
Another challenge is taking into account user local data to fine tune AI models. Pre-trained models can perform reasonably well, but they can be improved with privacy preserving federated learning on unique new local data.
Accomplishments that we're proud of
Ambianic.ai has been in public Beta for several weeks helping a number of users in their daily lives. Some users report success in keeping an eye on their elderly family members:
https://twitter.com/mchapman671/status/1230931722650423299
What we learned
Although the project sets ambitious goals, there seem to be sufficient enabling Open Source frameworks and community momentum to drive the ongoing success.
What's next for Remote Elderly Home Care via Privacy Preserving Surveillance
We need to work on these major areas:
Recruit volunteers in the home care community to test the system and provide feedback
Select more models to address open use cases such as fall detection, gas leaks and others
Work on implementing Federated Learning infrastructure to fine tune initial pre-trained models.
Built With
javascript
pwa
python
raspberry-pi
tensorflow
webrtc
Try it out
docs.ambianic.ai | Remote Elderly Home Care via Privacy Preserving Surveillance | COVID19 isolated at home many of us, including our elderly family members. Left unattended they are prone to risks such as falls, gas leaks, flooding, fire and others. | ['Yana Vasileva', 'Björn Kristensson Alfsson', 'Ivelin Ivanov'] | [] | ['javascript', 'pwa', 'python', 'raspberry-pi', 'tensorflow', 'webrtc'] | 46 |
9,965 | https://devpost.com/software/patient-health-history-record-system-f8iyxt | Screens Maps
Control of epidemics - Patient Control - Control of Vaccination Campaigns - Expert needs control by location - More reliable and secure data according to the new personal data protection law - More objective targeting of public health policy - Faster reaction to public health emergencies - Doctors with access to all health history and with more accurate patient information including emergency care - Patients with an updated and accessible health history when they need medical care - Public authorities using mathematical models to make projections with greater reliability - Patients using mathematical models to make projections and personalized predictions - Access to vulnerable population to technologies given only to people with private health insurance - Access to information of people using private health insurance by the government - People who have a private health plan and switch to the public health system without losing data - More accessible and reliable data than in DATA SUS - Data held by patients - Data released only for those patients who wish to access - Health History x Digital Health Record - Simplification of the database used today using data lake methodology
Built With
datalake
flutter
ionic
react
Try it out
github.com | Patient Health History Record System | We have developed a project for the public health area that aims to serve the poorest population. | ['Jose Alexandro Acha Gomes'] | [] | ['datalake', 'flutter', 'ionic', 'react'] | 47 |
9,965 | https://devpost.com/software/safeslot-getting-essentials-safely-during-crisis | Logo
Inspiration
In these days of the crisis, one of the biggest problems is buying essentials - food and medicine. Wherever you go, there are big queues for stores or overcrowded stores. With less enforcement of social distancing, people are not confident about going to stores. Over that, a lot of stores are closed or operating for a lesser duration than normal.
What it does
Our solution to the above problems is to
Evenly Spread Customer Visits at Different Times
Provide Customers with correct and updated opening status and information
Providing Customers with a Proof of Essential Travel (if any law enforcement agency asks for it)
Our app, SafeSlot helps in implementing these solutions. When user opens the app, they can see the nearest stores based on their location. We plan to divide the store timings into various time slots with a maximum cap of registrations based on the store/counter size and let users book the slot for their essential shopping. For the same, users can book a maximum of two slots per day for any store. We also have an option of DriveThru option in which users can upload their grocery list/doctor's prescription and stores can pack it by the time they arrive at the store. Hence, reducing the customer visit time to an average of 5 minutes.
How I built it
Our team built it in NodeJS and ReactJS
Challenges I ran into
The major challenge we have right now is mass adoption. We are trying to solve it by approaching various government authorities and showcasing the app in various contests.
Accomplishments that I'm proud of
We are proud of developing the solution within a short duration of 3 days.
What I learned
We learnt how to deal with a real-life crisis. We ran our idea with various people and learnt how to make a solution practical.
What's next for SafeSlot
We are in the process of creating a Store Side Application to update the slots on a live basis.
Maps integration is in process.
Upload prescription/grocery list feature is being added.
Branding in the app is being taken care of
Built With
node.js
react
Try it out
safeslot.in | SafeSlot | Getting Essentials Safely during Crisis | ['Sanket Patel', 'Shubham Jain', 'Aditi Katyal', 'Aditya Sonel', 'Hardik Gupta', 'Akshay Nagpal'] | [] | ['node.js', 'react'] | 48 |
9,965 | https://devpost.com/software/covid-19-4pvzxq | Data
Data
The pace of the COVID-19 coronavirus outbreak means information is changing all the time. Here is the latest data on infection hotspots and deaths from the virus. If you're having trouble viewing the data
Built With
oxford-english-dictionary | Covid 19 | Latest news on covid 19 | ['Emmanuel Samuel'] | [] | ['oxford-english-dictionary'] | 49 |
9,970 | https://devpost.com/software/image-annotation | Shapes options
Keyboard shortcuts
Right click menu
Features
One-click setup to create the required table.
Annotations are stored as a separate record and can benefit from all the Airtable features.
Delete, export, duplicate, or restore them taking full advantage of the features Airtable offers.
Can be linked and accessible from multiple records (eg. link to an annotations in tasks table and designs table).
Right-click menu shows when and by who was each shape created or modified with other options
Hover over any shape to see the last modified user and the name of the shape.
Keyboard shortcuts similar to Airtable's with a list of the available shortcuts.
Easy to navigate switch between records using the next and previous buttons in the toolbar, search records in the table, use the familiar keyboard shortcuts, or just select a record or multiple records from the table.
Shapes list with all the drawings in the selected annotation and the ability to rename and delete the shapes.
Annotations list with a live preview of the annotations, record color, and expand button.
Empty canvas so you can quickly visualize your ideas.
Emojis! 🥳 with a list of your frequently used and skins.
Fully synced support multiple user editing live
Collection of shapes pen, circle, rectangle, line, arrow, and text.
Customize the color, thickness, or font of shapes.
Rotate, resize, rename, or delete any shape at any time.
Fully responsive, simple, and familiar design matching with Airtable UI.
Fast and optimized lists are virtualized and storage is compressed.
Users without permission can still view, edit and save their edits as an image, and are warned their edits aren't saved.
Built With
fabric.js
react
typescript
Try it out
github.com | Annotate | Easily add annotations to images | ['Amr Elsayed'] | ['Category 1: Blocks for Business Teams', 'Airtable Best Block Winner'] | ['fabric.js', 'react', 'typescript'] | 0 |
9,970 | https://devpost.com/software/knowledgeblock | A simple page in KnowledgeBlock
Inspiration
My team is rethinking how we document internal knowledge, so I've had knowledge bases on the brain lately. When I saw
eazydocs-block
, I realized that Airtable's custom blocks could be the perfect platform for my very own app — one that combines the best aspects of many other knowledge management apps.
What it does
KnowledgeBlock makes it easy to share your team's knowledge and keep it up-to-date as your projects evolve. You can review your team's collective knowledge, add to it, flag outdated content, ask questions, and answer others' questions.
How I built it
I used Airtable's custom blocks SDK, React, and a number of other fun JavaScript libraries, like TinyMCE and Dragula.
Challenges I ran into
I let some things get a bit messy and inconsistent as the codebase grew — like use of React context vs. prop drilling, or use of the various ways the custom blocks SDK lets you apply styling.
It seemed that the RecordCardList component wouldn't render cards reliably, so I eventually switched to rendering an array of CardList components instead.
I realized late in the process that there's no way to disable the Confirm button in a ConfirmationDialog.
Accomplishments I'm proud of
Designing and building everything in a fairly short amount of time.
What I learned
The custom blocks SDK makes building apps
really
easy! 😅
What's next for KnowledgeBlock
I'm hopeful that people will be interested in trying and improving upon KnowledgeBlock. This project just scratched the surface of what's possible.
Built With
airtable
dragula
react
tinymce
Try it out
github.com
airtable.com | KnowledgeBlock | KnowledgeBlock turns Airtable into your team's simple but powerful knowledge base. It helps you share information and keep it up-to-date as your projects evolve. | ['Carlton Keedy'] | ['Category 1: Blocks for Business Teams'] | ['airtable', 'dragula', 'react', 'tinymce'] | 1 |
9,970 | https://devpost.com/software/shipping-block | Track orders as you hover an order in the table
Detail view of tracking
create a new shipping label
see shipping rates and create shipping label
Inspiration
People have been really creative with Airtable, and many have used it as a backend for their e-commerce shops.
They can track clients and orders, but I feel it was missing the perfect tool to manage shipping.
I wanted to build a block that could be used by many people in the team, in the warehouse or in the customer service team answering questions regarding their orders.
What it does
As you are selecting an order the block looks out for a tracking number. If a tracking number exists, the block displays more details regarding the shipment including the latest update and its shipping history.
If there is no tracking number available for this order, the block guides the user to get a shipping quote from many providers, the user can select the best rate and create a shipping label. The generated tracking number will be added automatically in the record.
How I built it
I used
GoShippo API
for everything related to shipping (rates, tracking, label). It's a complete API to manage the lifecycle of a shipping order.
Challenges I ran into
CORS, CORS, CORS...
GoShippo API work partial with test data
It lets you generate tracking number, but don't let you track them.
Making a beautiful timeline, inspired by
Proskynete's
vertical-timeline-component-react
repo.
Accomplishments that I'm proud of
Feeling more comfortable with React 💪
Felt I've built something useful
What I learned
Used
RecordCardList
for the first time.
GoShippo API
What's next for Shipping block
Optimize parcel size and weight depending on order items
Live data with GoShippo
Built With
airtable
react
shippo | Shipping block | Shipping block helps small businesses track and create shipping labels for their order directly in Airtable. | ['Nicolas Grenié'] | ['Category 1: Blocks for Business Teams'] | ['airtable', 'react', 'shippo'] | 2 |
9,970 | https://devpost.com/software/human-intelligence-remote-block | Introducing HIB (Human Intelligence Block)
Step 0 -- Configuring the HIB
Step 1 - Upload a task based on a record in the table/view
Step 1 - Upload a task based on a record in the table/view
Step 2 - Retrieve the completed worker tasks from Human Intelligence marketplace
Step 3 - Select the best response, and it will populate to the table! Use the convenient button to upload more tasks automatically!
Easily add custom templates for any type of data so it can be uploaded to Amazon's human intelligence marketplace
Inspiration
As a small startup and an indie game developer, we try to be scrappy with our resources. We launched a game and have users from every country around the world, which necessitates translations of our app in the most popular languages. However, we cannot hire individual translators to translate every time we have an update and we rely on third party contractors on human intelligence marketplaces.
Amazon's Mechanical Turk (MTurk) is a marketplace for completion of virtual tasks that requires human intelligence. Mechanical Turk gives businesses access to a diverse, on-demand, scalable workforce and gives its Workers a selection of thousands of tasks to complete whenever it’s convenient for them.
Prior to discovering Airtable, we used spreadsheets to keep track of our app strings which needed to be translated along with the language and the finalized translation. We also had to post a second task to have another person translate the translated strings so that we could double verify the translation. As you can imagine, the process was tedious, inefficient, slow and there was room for error as we would send the strings to both contractors separately and then have to add it back to the spreadsheet in the right columns.
What it does
With the Human Intelligence Remote Block, now we can have the translations automatically completed without any manual intervention on our part, leading to a more efficient and effective process with much reduced error.
How this works:
Enter the strings into individual columns in Airtable.
Connect your AWS key to connect your Mechanical Turk account.
Set the language of the string and the language you want to translate to.
Upload a task to Mechanical Turk for the translation by setting a price per task.
Create a description of your task that will be shown on Mechanical Turk under “Create a custom template”. In our case, we would ask for a translation from one language to another.
Choose the string you want to translate.
You can set the number of responses you’d like to receive by setting the max responses configuration.
Upload to the Mechanical Turk marketplace.
Workers on Mechanical Turk will see the task and can choose to accept it. If they accept it, they will enter the translated string.
When you’re ready to load the responses into Airtable, you hit Sync Completed Tasks.
You will see all the responses that were submitted and you would pick the one you want to load by hitting Select. It will load into the cell where you want the translated string to appear.
In the process of building this block, we actually came across a second use case that we were able to use the block to help with immediately. Our company reaches out to a lot of other companies to try and establish partnerships. Based on a/b testing different scripts, we’ve been able to uncover that including something personal about a company, such as congratulations on a recent announcement or even a hobby that you share with the contact, in the initial email leads to much higher open and response rates. However, this is something that is tedious to do yet does not require specialized knowledge to accomplish so anyone can do it. By using the exact same block and steps above, the only change we had to make was to create a new template to define the task that we wanted a Worker from Mechanical Turk to complete. In this case, we wanted them to research the company indicated and include a recent news item about them.
Though we had two use cases that were applicable to us, the way that the block is built, you can utilize it to get help on any task you need from Mechanical Turk and have it automatically added to Airtable without ever leaving Airtable. By making Airtable the central hub and source of truth to manage all your data tasks, you can be much more efficient at managing processes where multiple data sources need to be collected from different channels.
How we built it
We are using the custom blocks to integrate with the UI (thanks Airtable team for the awesome documentation). We do have a backend server that handles the creation of the tasks to be posted on to the human intelligence marketplace and to retrieve the tasks.
We are also using the newly released Button feature to activate the block so it’s easy for a user to activate and upload a task easily.
Challenges we ran into
It was really about learning how the mechanism of read and updating the data and syncing with the Airtable UI.
We would like to have the backend update the syncing automatically (currently the user has to click a button to sync the responses from the human intelligence marketplace).
What we learned
Before we started looking into Airtable, we thought Airtable was just another Google Sheets competitor. After we saw the use cases and the things that the blocks can do or enable, we were blown away by all the things you can build on top of Airtable. There’s only a few use cases listed on the main site, but the extensibility of the blocks and scripts is much better than Sheets.
The team knew React before this, but this is a good exercise to refresh our memory!
What’s next for Human Intelligence Block
We would like to make this plugin not require a backend, so perhaps adding instructions to deploy to a serverless context would be beneficial if people find that useful.
The marketplace has an option to only include certain workers from certain geographic regions. That would be a nice addition to add to the block configuration.
For the translation specific use case, we eventually want to have it connect to the server to be able to upload the translated strings and to download the new strings into Airtable.
Built With
amazon
amazon-mechanical-turk
react
ruby-on-rails
Try it out
github.com | Human Intelligence Block (HIB) | Airtable is great for automating a lot of things, but sometimes we need some manual processing. Enter HIB - Human Intelligence Block - will interface with a human intelligence marketplace (Amazon) | [] | ['Category 1: Blocks for Business Teams'] | ['amazon', 'amazon-mechanical-turk', 'react', 'ruby-on-rails'] | 3 |
9,970 | https://devpost.com/software/scheduler-9bkylv | Month View Interface
Week View Interface
Inspiration
I (Kamille) was first inspired by Jeremy Oglesby's "Schedule conflicts" script (later released as a block), which displays records with conflicting date ranges. I just knew someone would need a solution that would prevent users from creating conflicting records in the first place. I've made a few
scripts
which do this, and soon afterward Custom Blocks was announced. When building the block, I had in mind anyone who rents out equipment, who hosts events, or who has frequent meetings.
What it does
Scheduler
allows users to select one or more records in a grid view, and then displays all of the related "schedule" records on a calendar interface. Users are then able to click and drag dates on the calendar to select a start and end time, but only if that day/time slot is unoccupied by an existing record. Once dates are selected, a new scheduled record is added to the calendar and is opened in Airtable's expanded record modal to allow users to quickly fill in the remaining fields.
How we built it
Calendar elements are not included in Airtable's Blocks SDK, so this project instead uses FullCalendar.io. The block also makes minor use of Moment.js to ensure proper conversion of date/time values for use in Airtable fields.
Challenges we ran into
Date and date/time fields required a different approach to being displayed on the calendar. Additionally, the use of FullCalendar meant that stylesheets would need to be loaded, but there wasn't a very elegant way of doing so without Webpack, which is currently incompatible with Custom Blocks.
Accomplishments that we're proud of
This is the first project I built in React. I'm very proud that I was able to translate a simple script into a user-friendly, fully-functional solution.
What's next for Scheduler
Right now, developers can't properly import styles from external packages (like FullCalendar.io) using Webpack. Once that ability is added, Scheduler should be able to compile the necessary stylesheets the "normal" way.
Built With
fullcallendar
moment.js
Try it out
github.com | Scheduler | This custom block allows users to schedule events, reservations, or appointments without double-booking any of the selected records in a simple, easy-to-use calendar interface! | ['BuiltOnAir Community', 'Kamille Parks'] | ['Category 1: Blocks for Business Teams'] | ['fullcallendar', 'moment.js'] | 4 |
9,970 | https://devpost.com/software/airlearn | My courses
Lesson page
Inspiration
Education was severely disrupted by Covid-19, both for students and institutions.
Schools and training centres are unable to provide their services because of social distancing and it is really difficult for them to go online, as most of them don't have experience in creating online courses.
So what if schools and training centres could easily put their courses online, even without any experience?
Well, that's what AirLearn is for.
What it does
AirLearn is a Learning Management System (LMS) powered by AirTable.
It allows schools and training courses to easily create and publish online courses. Students can watch videos, read materials and submit assignments. And the best part: all data is stored in AirTable, which can be easily customised for each school-specific demands.
Implemented features
Setup wizard
Configure themes
Configure name and description
Configure table for Courses
Configure table for Lessons
Configure table for Students
Configure table for Assignments
Automatically select fields and table based on the name
Publish LMS
View summary of LMS
Allow to edit and republish LMS
Register student
Login student
List courses by student
List lessons by course
View lesson videos
View lesson materials
Submit assignment
Send assignment to AirTable base
How I built it
I have used AirTable blocks for the frontend and Node.JS + Express for the backend. I have also used AirTable API to submit the students' assignments.
List of AirTable UI features used:
Heading
Button
FormField
Input
Link
Text
Label
Dialog
TablePickerSynced
FieldPickerSynced
loadCSSFromString
globalConfig
useBase
useRecords
Accomplishments that I'm proud of
I'm proud of being able to create a flexible, themeable and customisable LMS within such a short period of time.
What I learned
I've learned how to create AirTable blocks and how to use the AirTable API. I was impressed by how flexible and powerful the Airtable solutions are, you can build basically anything with it.
What's next for AirLearn
Add more LMS configurations
Allow adding additional pages
Allow sending messages to students via the platform
Create a discussion forum for students
Allow students to discover and subscribe to courses
Add payment systems for paid courses
Add certificates
Built With
airtable
express.js
javascript
node.js
react
Try it out
codeacademy.airlearn.me
github.com
github.com | AirLearn - Easily build online courses | Learning Management System (LMS) powered by AirTable | ['Gustavo Zomer'] | ['Category 2: Blocks for Education or Non-Profit'] | ['airtable', 'express.js', 'javascript', 'node.js', 'react'] | 5 |
9,970 | https://devpost.com/software/link-records-by-fields-block | GIF
Screen recording of block in use
Inspiration
I work full-time at a nonprofit where we use an Airtable base as a CRM. We run a few different programs, and many of the participants overlap. There's a wide variety of information coming into the base ranging from event sign-ups to donations. Some of it is entered by automated integrations, other tables are filled by public forms, and we update some parts manually.
While I loved how powerful linked records were, I was initially frustrated that I couldn't do things like match two records by multiple user emails without reconfiguring a base and its primary fields or setting up and integration which would have been trivial in Excel with a VLOOKUP. There are tens of thousands of records in total in our base, so troubleshooting linked records individually would take hours of staff time. Originally I handled this with a group of AWS Lambda functions that use the Airtable API to link records (usually by email) to a main "People" table, but this isn't sustainable for organizations without development capacity.
My goal with this block is to make this kind of record linkage easy for smaller organizations that may not have development capacity. Organizations can link volunteer sign-ups to volunteer records by email, and then volunteer records to donations to have a better sense of overall engagement without needing to put staff time into data entry that would be better spent on programs.
What it does
This custom block streamlines linking records in bulk using VLOOKUP-style matching on fields. Users can open the wizard-style block, select the table they'd like to update, the linked records they want to fill in, and the fields that should match to link records in bulk. They can also configure the options for the merge like whether all keys must merge (i.e. if you only want to link to a person if their name and email match), whether merge should be case-sensitive, and whether existing links should be replaced.
You can do all of this in a few clicks instead of setting up custom integrations or managing a small army of Zapier functions that may need to be changed at any time.
How I built it
I took a lot of inspiration from the Dedupe block as well as the guidelines around wizard blocks. The
react-window
library was also helpful in displaying records that would be linked without reducing performance significantly with larger amounts of records.
Challenges I ran into
Putting together the user interface in a way that was transparent about changes to the base was initially challenging, but the guidelines around "wizard" style blocks were helpful.
There were also some cases where components I expected to be available weren't, which is why I ended up using a custom component to display records that would be updated instead of
RecordCard
after trying to hack the display of that a bit.
Accomplishments that I'm proud of
The block runs pretty quickly and efficiently even when matching upwards of 500 records. In my opinion it also does a decent job of communicating what changes it will make and how it's making them.
What I learned
I got a good sense for how the Airtable Blocks SDK works, and I'm looking forward to creating more custom blocks with it.
What's next for Link Records by Fields Block
I'll likely use this for work and with other organizations I'm a part of that use Airtable, and I'm hoping to post this more broadly for others to take advantage of.
Built With
javascript
react
Try it out
github.com | Link Records by Fields Block | Combines the power of Airtable linked records with the flexibility of Excel VLOOKUPs by linking records with matching values outside of the primary field | ['Patrick Sier'] | ['Category 2: Blocks for Education or Non-Profit'] | ['javascript', 'react'] | 6 |
9,970 | https://devpost.com/software/chrysopelea | Inspiration
Airtable is an unparalleled tool for managing data. Pyodide/python/numpy/matplotlib is an unparalleled tool for analyzing and visualizing data. The Chrysopelea (flying snakes!) block puts these things together, enabling any user to write scripts for analyzing and visualizing Airtable data using python/numpy/matplotlib.
The open-source Pyodide framework is the key to this block, and does all the hard work. Pyodide provides versions of the python interpreter and libraries that run in the browser.
This block is simply an integration of Pyodide with Airtable.
What it does
The Chrysopelea (flying snakes!) block enables the user to define script variables that are populated with user-selected Airtable data to feed into Python scripts. The user defines the script variable names, and what tables/views should be used to populate each variable. The user also defines the table to be used to store the Python scripts. Finally, the user can select a script and run it. Plots generated by the script are rendered in the block, and the script results are displayed. In case of script error, the error is displayed. The user can also define tables to store the results of Python scripts.
How I built it
This block starts and ends with pyodide:
https://pyodide.readthedocs.io/en/latest/
. The people who built Pyodide implemented 99.9% of what this block does. The tiny contribution of the "Chrysopelea" block is lots of trial and error towards getting Pyodide integrated into something that makes sense in the context of Airtable.
Challenges I ran into
Learning react was a key challenge. Also, there is something I don't understand about transpiling in the react environment that caused some of my 'async' handler functions to be transpiled to not-async, causing some issues with trying to invoke airtable functions with "await". I had to work around this which was a bit of a pain. I think it's something about trying to combine the React processing model with how the block invokes the python script interpreter.
Accomplishments that I'm proud of
It actually works!
What I learned
React; the airtable blocks API.
What's next for Chrysopelea
See the README.
Demo base invite link
https://airtable.com/invite/l?inviteId=invWk0O71PdVoxKFC&inviteToken=1e486f4067f33da642f08179ccb3ae99f4c08247ef314a1ab8609d6c7f91aa0d
Built With
matplotlib
numpy
pyodide
python
react
Try it out
airtable.com
github.com
airtable.com | Chrysopelea (flying snakes!) | Analyze and visualize your Airtable data using python scripts that run in your browser (flying snakes!). Leverages numerous excellent open-source components: Pyodide, python, numpy, matplotlib. | ['ace thompson'] | ['Category 3: Wildcard'] | ['matplotlib', 'numpy', 'pyodide', 'python', 'react'] | 7 |
9,970 | https://devpost.com/software/superfields | Installing it from the airtable apps marketplace
Eazyfields is listed in the airtable apps marketplace. You can install it into your airtable base directly from
it's listing
.
Inspiration
To be able to easily and quickly create frequently used field "types" in a way that:
Saves time
Prevents human errors
Allows users to create country, month and day fields in
any
world language with confidence, even if they are not familiar with the language.
What it does
Allows the user to create Airtable fields with pre-populated options for:
Country, month or day of week, with support for selecting any of the world's languages as the language for the field options
For month and day of week, selecting the format (full or abbreviated) for the options
Year - specifying the options range
Time - specifying the options range and gap between options
How I built it
This block uses:
Data from
CLDR
(the unicode common locale data repository) for localized country, month and day names. The software library used to get CLDR data is the compact and performant
@phensley/cldr
npm package.
The
mobx library
for state management. Mobx promotes clear separation between view (react components), and state / view model (the data they depend on for rendering), which:
Reduces code size and complexity.
Allows for easier and faster testing.
Creates components that re-render truly only when something they directly depend on in their rendering changes.
Challenges I ran into
Even though the
@phensley/cldr
npm package is thoroughly documented, is was missing a
Getting started
tutorial so there was a learning curve on how to use it and how to dynamically load language specific data, in order to minimize block loading time.
Accomplishments that I'm proud of
That in a short period of time, I created something that can benefit a huge potential Airtable user base.
That in such a short period of time, using the expertise (and code) I acquired in developing other blocks, I was able to create a block that is already today ready for primetime use.
What I learned
That there is a standards backed project that provides key building blocks for software to support all of the world's languages - the
Unicode CLDR Project
How to use the
@phensley/cldr
npm package for dynamically loading CLDR data.
What's next for Eazyfields by Superblocks.at
The goal is to have the community expand the block and it's field selection so that the entire Airtable community can benefit.
Some things that might benefit the community:
Ability to create the field as a linked record to a new table with the options as records.
Ability to create the field as a multiple select field.
Support for displaying different languages in different Airtable forms while still being able to use a primary field that the different language specific fields are connected to.
Notes
The block has been renamed to Eazyfields from Superfields. The video and Airtable base still use the old name.
Built With
airtable/blocks
antd
mobx
phensley/cldr
react
Try it out
github.com
airtable.com | Eazyfields for airtable | Create country, year, month, day and time slot fields in any world language. | ['Ronen Babayoff'] | ['Category 3: Wildcard'] | ['airtable/blocks', 'antd', 'mobx', 'phensley/cldr', 'react'] | 8 |
9,970 | https://devpost.com/software/post-to-wordpress | Previewing a webpage before posting it to WordPress
Login quickly with a saved username/password for all users, or have users enter own credentials
Inspiration
This block is part of a larger project of using Airtable to tame a sprawling amount of content published in a blog over the course of several years. The first part of the project involved extracting the content from the blog and into Airtable, making it easier to see trends and identify gaps in the content. Then Airtable's formula and rollup fields made re-assembling the data straightforward and automatic.
However, returning the re-assembled content back to an actual website was more challenging. Zapier integrations could only create new posts, not update and delete posts. I also didn't want to wait several minutes for a third party integration before I could see the results. Other workflows were too cumbersome, running the risk of the Airtable content and the website content becoming out of sync with each other.
This block reduces that final gap of publishing content from Airtable to a couple of button clicks. I can now preview my post as I draft changes, then view those changes on my website in a matter of seconds.
What it does
The block will publish, update, or delete a post on a WordPress website based on information in an Airtable record.
The block can publish the following data to a post:
title
content
slug
date
sticky
category numbers
tag numbers
It also stores the WordPress post id back to the Airtable record.
The block can also store a username and password to be shared across all users, streamlining logging in.
The WordPress website must be configured for Json Web Token authorization.
How I built it
I built this block starting from the "Hello World" example.
From there, I spent a lot of time reading and googling:
Custom Blocks API reference
WordPress API reference
many web pages discussing authentication
many web pages discussing CORS errors
documentation from my web host
various web pages about how to use the WordPress API
Challenges I ran into
Authenticating into the WordPress API was extremely challenging. I needed to find the right combination of WordPress plugin, server settings, and code to get all the pieces talking to each other.
Even after I was able to get my block to communicate with WordPress, I had to figure out where to store credentials securely between sessions, and how much to store (just the user name, or both username and password). I also had to look at tradeoffs between storing the credentials for all users of the block in globalConfig or just the current user in local store. I ultimately decided that local storage wasn't secure enough.
An additional security issue for authentication was figuring out how to hide the password as it was typed, as the built-in UI components did not provide immediate support password entry.
I actually spent more time working on the login code than the code that interacts with WordPress API endpoints.
I also had to find a way to communicate with the Airtable user to wait while authentication was processing and what to do if authentication or authorization failed.
Accomplishments that I'm proud of
I'm proud that I found a login workflow that is flexible yet secure.
Once an Airtable user is authenticated into WordPress, all future requests during that session use the same Json Web Token, limiting the number of times the actual username and password sent over the internet.
An Airtable user can choose to save the WordPress username and password for other users of the base, without ever revealing the password to them. Or the Airtable user can choose to save just the WordPress username by leaving the password blank when clicking the save button.
An Airtable user can easily see which WordPress user account is being used, and change it it quickly.
An Airtable user can choose to authenticate into WordPress as the saved user, or enter a different one-time username and password without affecting the credentials saved for all users.
The WordPress plugin that I use is completely free to use, unlike other plugins that have ongoing subscription fees.
What I learned
I learned that a single API can have many different methods for authentication, and that each method has its own individual quirks.
There are at least three methods of authenticating into the WordPress API, and none of them work with a basic WordPress install. All of them require at least installing a WordPress plugin.
What's next for Post to WordPress
I'd like to do more user testing to see how I can improve the user experience.
Built With
airtable
javascript
react
wordpress
Try it out
github.com | Post to WordPress | Publish your Airtable content to a WordPress website without ever leaving Airtable. | ['Kuovonne V'] | ['Airtable Blocks Runner-Up'] | ['airtable', 'javascript', 'react', 'wordpress'] | 9 |
9,970 | https://devpost.com/software/woocommerce-store-manager | store connect form
settings form for choosing tables and fields
Inspiration
I freelance web design e-commerce sites that use WooCommerce so I thought this may be a nice way for my clients to interact with their store data since many people use spreadsheets for inventory and order tracking.
What it does
Basically, it gets your products, and/or orders from your WooCommerce store and inserts the data as records in Airtable. I only had a couple days to learn Airtable and complete it so I was not able to add all the desired functionality. Ideally you would be able to post data back to your WooCommerce store as well.
How I built it
I used javascript and react to build it
Challenges I ran into
I only found out about the contest a couple days ago so the biggest challenge was time as I also work full-time and have a 3 year old daughter.
Accomplishments that I'm proud of
I am proud that I was even able to get this far in the very little time I had. I am experienced with javascript, but I have only used React once in a hello world project, and I had to learn the Airtable SDK as well
What I learned
I learned how to use React better, though I am far from mastering it, and how to use the Airtable SDK. I also learned more about all the cool things you can do with the WooCommerce REST API like being able to create and manage products and orders via post requests.
What's next for WooCommerce Store Manager
I will continue to add all the functionality and styling that I was unable to do due to time constraints. Mainly, adding post functionality and more configuration for users so they only get the data they need.
Built With
javascript
react
woocommerce-rest-api
Try it out
github.com | WooCommerce Manager | Basically, it gets your products, and/or orders from your WooCommerce store and inserts the data as records in Airtable. I only had a couple days to learn Airtable and complete so not finished | ['Hunter Rustad'] | [] | ['javascript', 'react', 'woocommerce-rest-api'] | 10 |
9,970 | https://devpost.com/software/data-studio | my click selection on airtable controls the datastudio filter
The datastudio report access is inside the user table, with an email and pubkey. The fields are locked
Inspiration
My background is advertising and analytics. I've been working on a Saas product to help advertisers to manage ad campaigns. I built this block to bring data studio report in Airtable and make it very intuitive to see report data. Instead of switching back and forth, you control the report right from your selection on Airtable. It is based on the block-url-preview by airtable
What it does
The block brings your DataStudio report to Airtable. You select table and records on Airtable to control the DataStudio report. It's incredibly intuitive
When the user selects a table, the block gets the DataStudio report page. When the user selects a record, the block filter the corresponding data.
How I built it
There are two parts
The Google Data Studio report. ( datastudio.google.com probably the best free tool to create data dashboard )
The custom block
How the block works :
it detect my selection on Airtable, either Table or Fields or Record.
it passes the selected value to the report request URL.
it loads the data studio report URL in an iframe.
Challenges I ran into
Secure data, so the user cannot access other accounts data. Solved by adding a key field on Airtable and filtering the report based on that.
Accomplishments that I'm proud of
The block is not very complicated in itself, but I believe it's quite ingenious to combine DataStudio and Airtable this way. It was a game-changer for me ( saved me so much time building a full app ). the reporting become incredibly intuitive which made my team and client very happy
What I learned
It was the first time I dig the Airtable block SDK. Being able to bring a nodejs app inside airtable is killer features. It announces great things! I'm about to shut down my vuejs app to rely only on this block. Also, after building this block I launched two other services for airtable. ( It's doesn't rely on custom blocks so I couldn't include it here )
pushbases.com
brings webhooks to Airtbale
syncbases.com
sync any fields, view, and table between your airtable bases
What's next for Data Studio
That's it. Email me at
[email protected]
if you need help to set this up. Happy to help.
Built With
datastudio
figma
node.js
Try it out
github.com | Data Studio Block | bring your data reports to airtable | ['Yoann Bases'] | [] | ['datastudio', 'figma', 'node.js'] | 11 |
9,970 | https://devpost.com/software/knowledge-network-visualizer | Inspiration
The inspiration for this block is to use more knowledge graph-networks and deep network algorithms in structuring our notes, tasks, metrics, and social relationships. Human minds work through concept networks, and adding knowledge graphs over DBs can connect us more intuitively to the power of DB engines. Deep net algorithms power on the other hand power the concepts in minds and machines.
In the past several years we’ve seen a leap in related science, like Transformers and graph neural networks, but also a leap in technology like by Airtable which makes conceptual relationships and layering more possible in everyday information modelling.
In more practical terms, we can think of the difference of today’s web searches which are serving better and better knowledge bits and the web searches of just a couple of years ago where they failed even simple language negation.
What it does
Simply put, it lets users build and navigate knowledge through their bases. It uses deep net algorithms to present latent (hidden) relationships behind many records, but more importantly for the purpose of letting the user build knowledge using linked records, and then explore connectivity that spans many hops, not just direct or over a couple of links. It also shows users likely related records that may not be yet linked manually.
The block was built so as not to send any data out of the DB or browser for processing anywhere outside. However, this is also why it takes longer to compute than it could. A version using cloud APIs would be much faster but also more intricate for the average user to get going in terms of tech, licensing, privacy, etc. This block allows users to immediately apply this tech to their bases and consider how to scale from there.
The hope is it will be useful at the point when a user has grown their base beyond search-by-scrolling. Views are very helpful but they end at keyword matching and fixed categorization logic. With time, the terminology and schemes used by users drift and start missing marks. The block extends from there with semantic and contextual search and UI.
How I built it
This block was made possible thanks to the awesome examples provided by the Airtable team, and awesome ports of the key algorithms to JavaScript by the open-source community. The first key algorithm is the Universal Sentence Encoder (USE) which is trained on GBs of English language and projects any sentence into a 512-dimensional vector space so that one can calculate similarities and other relationships. In particular a mini version of USE with 8K vocabulary and able to run out of ~25MBs. The next key algorithm is UMAP dimensionality reduction which can take the 512D vectors and project them into a 2D space, so we can plot them so that our eyes can intuitively pick-up even more relationships. Therefore, the block weaves the power of machine and human intelligence.
Challenges I ran into
My biggest challenge was learning JavaScript, and React in particular. My background has been scientific and backend computing. Another challenge was finding the libraries and methods that can make this possible in a browser engine.
What I learned
JavaScript & React & about the ecosystem around related tech! It stretched my mind, but I am grateful to get a peek into how the frontend tech is evolving. And to become more capable now in that area for my own projects.
What's next for the “Interactive Knowledge Network” block?
Evolving it on both the NLU algs & interactive kGraph UI fronts
More options to change/add/delete links/nodes in the GUI
Indirect links visibility
Multiple tables for link information
Adding external NLU services for greater speed and accuracy
But also seeing if we can get more out of the local version
Fine-tuning of language models on custom data
Question-answering powered by the same KDB built interactively
More task management perspectives, e.g. using one axis for time
Orchestration bots chewing on the KDB connectome
Covering numerical data too, as well as attachments and multi-modal data. We can embed all sorts of mixtures into shared vector spaces
Clustering on-demand by various algorithms
Force directed graphs (maybe 512D forces)
Fuzzy links between multiple nodes
3D graphs, maybe eventually in AR/VR
Built With
airtableblockssdk
javascript
react
umap-js
uselite
Try it out
github.com | Interactive Knowledge Network | Using knowledge graph-networks and deep network algorithms in structuring our notes, tasks, metrics, and social relationships. | ['Martin Dimkovski'] | [] | ['airtableblockssdk', 'javascript', 'react', 'umap-js', 'uselite'] | 12 |
9,970 | https://devpost.com/software/airtable-dataviz-deepdive | Inspiration
To be able to inspect large volumes of data stored in Airtable in an intuitive, fast and performant fashion. Especially relevant when the data is used for Machine Learning workloads.
What it does
Delve into your dataset stored on Airtable and facet/dissect down to the individual record level based on any field therein. It provides an interactive interface for exploring the relationship between data points across all of the different features of a dataset. Each individual item in the visualization represents a data point. Position items by "faceting" or bucketing them in multiple dimensions by their feature values. Success stories of Dive include the detection of classifier failure, identification of systematic errors, evaluating ground truth and potential new signals for ranking.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Airtable-DataViz-Deepdive
Built With
react
Try it out
github.com | Airtable-DataViz-Deepdive | Delve into your dataset stored on Airtable and facet/dissect down to the individual record level based on any field therein. | ['Krishna Kumar'] | [] | ['react'] | 13 |
9,970 | https://devpost.com/software/simple-coach | Meme generator screenshot
Generated Meme
Generated images with text
Available settings
Inspiration
We wanted to build something really fun and exciting using Airtable blocks!
Buildling our own personal Meme Generator (where we can meme-ify ourselves) seemed interesting!
Though this is a fun project, this can also be used in many business applications where you want to remove background images and text to images like - Social media banners and posts, e-commerce images etc
This uses Remove.bg - which is a AI based tool to remove background from images. We have also used cloudinary to perform various image manipulations like cropping, resizing, padding, text overlay etc.
You can also add a custom text / watermark to memes.
Memes can be bulk generated with a single click!
We can have added view picker to the block, so you can also add filters and run the generator only for visible records.
What it does
Merges two images together.
Removes background from first image using remove.bg
Adds background image (meme template / solid color) using cloudinary
Adds text overlay based on text field
Can be used to generate social media banners and posts
It uses
-Remove.bg API to remove background from the Images
-Uses Cloudinary to do various Image and text manipulations
Features
Built With
airtable
cloudinary
react
remove.bg
Try it out
github.com | Meme Generator | This block generates memes from a template of background Images. It uses Remove.bg API to remove background from the Images Uses Cloudinary to do various Image and text manipulations | ['Anand C', 'Jayshree Anandakumar'] | [] | ['airtable', 'cloudinary', 'react', 'remove.bg'] | 14 |
9,970 | https://devpost.com/software/tablebeat | TableBeat
Inspiration
Working with tables is sometimes a bit boring. I wanted to change that. After a long and windy road it suddenly became obvious. People love music. And people have to work with complicated tables to make the earth go round. Why not combine both?
What it does
It moves your feet.
How I built it
With passion. Lots of
Challenges I ran into
We are not allowed to move the cursor from a custom Block (understandably, as this would probably be a security issue)
Accomplishments that I'm proud of
Tables make more fun now
What I learned
Making a beat machine with a table
What's next for TableBeat
more sounds, more awesome, transition to typescript, demo videos
Built With
airtable
react | TableBeat | Tables don't need to be boring! | ['Chris Ly'] | [] | ['airtable', 'react'] | 15 |
9,970 | https://devpost.com/software/airtable-dataviz-overview | Inspiration
What it does
Get a sense of the shape of each feature of your dataset. Overview gives users a quick understanding of the distribution of values across the features of their dataset(s). Uncover several uncommon and common issues such as unexpected feature values, missing feature values for a large number of observation, training/serving skew and train/test/validation set skew.
Facets Overview summarizes statistics for each feature and compares the training and test datasets. It becomes easy to learn the distribution of values across the numeric and categorical features across the dataset.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Airtable-DataViz-Overview
Built With
react
Try it out
github.com | Airtable-DataViz-Overview | Visualize the shape and get statistics of your big dataset stored on Airtable. | ['Krishna Kumar'] | [] | ['react'] | 16 |
9,970 | https://devpost.com/software/airtablelive | Interactive landing editor
Managing landing structure
Editing data schema
Publisher
Inspiration
I delieve that AirTable is amazing way to manage data. Many SME companies has not enough resources to hire dedicated web professionals however they want to update their e-commerce and landings continuously. I'm working on some startups, and I know how it's difficult to check other ideas, ask someone to make changes in your landing.
With AirtableLive everyone could manager their landings and integrate them with AirTable data
What it does
It connects AirTable data and provide a service which helps people to build their web pages from AirTable, It coitains wysiwig editor and publisher.
How I built it
I worked hard for a long time to make product clear and simple
Challenges I ran into
The biggest challenge was when I found that attachment data is closed for users. So, I have to develop a system to upload images to Google Cloud to make them visible for everyone.
Accomplishments that I'm proud of
Really amazing product
What I learned
What's next for AirTableLive
Built With
airtable
node.js
postgresql
react
Try it out
airtable.live
github.com | AirTableLive | Nocode platform for beautiful landings based on AirTable data | ['Mikael Lazarev'] | [] | ['airtable', 'node.js', 'postgresql', 'react'] | 17 |
9,970 | https://devpost.com/software/air-herz | The blocknext to a basic Airtable spreadsheet.
Full Analytics by expanding the block.
IoT workflow.
The "Things" that make this block work.
Inspiration and Introduction
The ever increasing competition among businesses, makes today’s workplaces to face a consistent challenge of being efficient while keeping low costs. Sounds contradictory to keep up efficiency while reducing cost, but there are always strategies as well as solutions. These can alter your approach towards a problem and help solve it without putting excessive burden on your business goals.
One of the biggest problems is due to high stress and high pressure at work.
According to Harvard: Emotional turmoil triggers the release of stress hormones, which act on the same brain areas that regulate cardiovascular functions such as heart rate and blood pressure. (1)
There is a correlation between stress and Heart rate (2), a study made by NIH, showed a relationship between stress and heart rate. Repeated-measures showed that HR mean, increased significantly in response to the speech task. Moreover, repeated-measures showed that the respiration rate was not accounting for these effects.
Harvard Business Review presented a case where performance is compared with the stress level. It is important to notice that is required a certain amount of stress in order to get the right performance. Very low stress also shows that performance is also very low. (3)
In the same article, they present a Stress scale in order to get the best performance and the table with the best outcome.
And yes, we have to remember also that heart diseases are the first cause of death worldwide:
I think we can twist this a little bit and generate a health-related solution for Business professionals where the Health info is right next to their work.
Solution and What it does
We developed an Air table block which is able to see and analyze the HR of the employees in real time and with this we can analyze if the employee needs to take a moment to clear himself, stop working or other use cases. When the employee begins to suffer from anxiety and has been inactive for a long time, the system will send him a notification that he needs a break.
At the same time we have a block that works as a widget and as an application, if we only have the widget on our side we can see that only our steps and our hr appear, however if we enlarge the screen, we can see our HR of the day in a broad way and our averages. All of this in real time.
The Hardware used was:
RaspberryPiZero w.
MiBand 3.
How we built it
Connection diagram:
We used a RPi Zero as the bridging mechanism between a regular Smartband (in this case a MiBand3) and our MQTT broker which in turn we hanged to the React backend of an AirTable block.
Step by step build process:
For step by step instructions go to our Github where all the documentation is heavily Expanded:
https://github.com/altaga/AirHerz
DEMO (in case you missed it):
Please CLICK on the picture as Markup cannot embed videos.
Or if for whathever reason open this link:
https://drive.google.com/drive/folders/1WkGXhseU3pF4ZtmfHXYDEBM_r0aoQZeH?usp=sharing
https://airtable.com/invite/l?inviteId=inv2709vKk2l2zxkw&inviteToken=2b54fbf400e74450ab0068d1d723ae3dcef4504958673709cf95ef02eef6de0b
Test the block:
If you don't have the hardware available, you can still test the block as follows.
IMPORTANT NOTE: For a production block it is necessary to use a private MQTT broker due to the sensitive data that can pass through it and above all to use secure protocols such as MQTT-TSL. In addition, the topic changes randomly each time you open the block in order to avoid duplication of topics in the broker and that we always have a unique topic.
0.- First accept the invitation for our block:
https://airtable.com/invite/l?inviteId=inv2709vKk2l2zxkw&inviteToken=2b54fbf400e74450ab0068d1d723ae3dcef4504958673709cf95ef02eef6de0b
1.- Open an MQTT Websocket and place the following credentials, in our case we will use a public one like the one below.
http://www.hivemq.com/demos/websocket-client/
Host:test.mosquitto.org
Port:8081
ClientID: ANY_RANDOM_STRING
Topic:YOUR_BLOCK_TOPIC
Message:{"Device":"Device 1","hr": 80,"step":900,"meter": 1024,"rec":"ANY MESSAGE"}
If everything works correctly you can see the data (and any data) you entered in the HR Monitor.
Here is a real time demo without Hardware:
https://youtu.be/HXszdwnjgqg
Challenges we ran into
The first challenge we faced, learning how to code on this platform, unfortunately, we didn’t know about it, and getting to know how to code and hack inside was a good challenge. The second one was to try to connect the platform in order to get data from the IoT devices (MQTT protocol with Airtable), which was quite challenging.
And last but not least, make the block in Airtable platform responsive.
Accomplishments that we're proud of
The main accomplishment we succeeded on was able to code with the Air Table platform. Communicate IoT devices inside the block in order to display the information to the user was straight forward as we already have in depth experience doing this same thing and just migrating to Air Table was easy. And a small accomplishment was that we were able to participate and get to know this kind of technology that are improving people’s lives.
What we learned
We learned a new platform, the Air Table platform is an interesting way to create and innovate. It’s an easy way to code to develop technologies fast and it is very useful. At the time we were working on the project we realized that the Air Table Platform is the right tool to improve management for companies.
What's next for Air-Herz
We want to take Air Herz to the next level, first, we will change the Raspberry for a better gateway. Thinking more of a company, create a gateway for each department, so the management gets clear and the data showed become valuable.
We will integrate Machine Learning to provide data from each worker, department, and company. We know how important are the employees of the company. With this we can take care of them and their performance.
References:
Harvard,
https://www.health.harvard.edu/heart-health/calm-your-anxious-heart
ncbi,
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2653595/
Harvard Business Review,
https://hbr.org/2016/04/are-you-too-stressed-to-be-productive-or-not-stressed-enough
https://www.m2sys.com/blog/workforce-management/the-top-15-reasons-to-use-biometric-technology-in-workforce-management-and-retail-point-of-service-reason-2-increase-productivity/
https://www.mitrefinch.co.uk/blog/workforce-management/5-ways-that-biometrics-can-improve-your-workforce-management/
https://www.intercorpsolutions.com/knowledge/productivity-analysis-companies-biometrics-changing/
Built With
air-table-blocks-sdk
airtable
miband3
raspberry-pi
raspbian
react
Try it out
github.com | Air-Herz | IoT Biometric human resource management widget to improve productivity, Powered by Airtable's airblocks. | ['Luis Eduardo Arevalo Oliver', 'Alejandro Sánchez Gutiérrez', 'Victor Alonso Altamirano Izquierdo'] | [] | ['air-table-blocks-sdk', 'airtable', 'miband3', 'raspberry-pi', 'raspbian', 'react'] | 18 |
9,970 | https://devpost.com/software/formulas-by-superblocks-at | Inspiration
Add support for formula functions that are available in excel, google sheets and other spreadsheet solutions, thus opening up financial, engineering and many other business and scientific use cases previously not possible with Airtable.
Create a formula calculation engine that is easily extendible with scripts, thus creating a platform that can answer almost any formula calculation use case.
What it does
A formula calculation engine that saves the calculation into a field in a selected view or record.
For a list of functions supported out of the box, see
here
.
For a list of additional functions that can easily be added to the engine, see
here
.
Edit and run a formula
The user:
Selects the table and view to run the calculation in.
Selects the "result" field to save the calculation in.
Specifies the formula with the capability to easily insert into the formula:
Table fields
Supported functions - with out of the box support for 188 functions
The user can then select to:
Run the calculation on the selected record without saving it into the result field.
Run the calculation on the selected record and save the calculation into the result field.
Run the calculation on all records in the selected view and save the calculations into the result field.
Everything is persisted.
Add functions from dynamcially loaded scripts
The formula calculation engine can be extended with functions from dynamically loaded scripts.
To help users easily find available scripts, extension script authors should publish those scripts as umd scripts to the npm package repository, with the keyword:
formulas-superblock-functions
The user can then click on a link in the block to view all the
extension scripts available on npmjs.com
.
The README of each package will document the list of extension functions and will specify the url of the script the user can dynamically load into the engine.
Create and publish an extension functions script
Users with use cases that require functions not available out-of-the-box or with existing extension scripts can create and publish scripts by following the instructions in the
GitGub repository
. A reference implementation has also been created to ease with the creation and publishing of such scripts.
How I built it
I used:
The
formula
compiler and function library. It comes with out of the box support for
188 functions
, including partial support for financial, engineering and math functions available in spreadsheet solutions such as excel and google sheets.
The
@formulajs/formulajs
functions library that includes JavaScript implementations of almost all
Microsoft Excel formula functions
, including the ones not available in the formula library above. I used this library to demonstrate the creation of an extension functions script.
mobx
for state management. Mobx promotes clear separation between view (react components), and state / view model (the data they depend on for rendering), which:
Reduces code size and complexity.
Allows for easier and faster testing.
Creates components that re-render truly only when something they directly depend on in their rendering changes.
Challenges I ran into
It took me a while to find a suitable formula compiler and functions library that is stable and works as advertised. Luckily I found a great one, which wasn't one of the immediate suspects.
Accomplishments that I'm proud of
That in a short period of time, I created something that can benefit a huge potential user base coming from spreadsheet solutions and that can ease the transition to Airtable for many many people.
That in such a short period of time, using the expertise (and code) I acquired in developing other blocks, I was able to create a block that is only a few days of work away from primetime use.
That I was able to easily modify the formula compiler to add support for extension functions.
That I was able to easily create an extendible formula calculation engine.
That I was able to find another functions library that will provide almost all of the functions from excel and google sheets that don't exist in the core library.
What I learned
How to use rollup to bundle scripts as
umd - Universal Module Definition
scripts.
How to publish a umd script to npmjs.com so that it immediately becomes available on the
unpkg cdn
(Content Delivery Network) so extension script authors will not have to host scripts by themselves.
What's next for Formulas by Superblocks.at
The sky is the limit. With the help of the community:
Add all the missing functions found in excel and google sheets.
Improve the editor with autocomplete, syntax highlighting and display of real-time formula parsing errors.
Add proper support for xlookup, vlookup and hlookup functions, with support for looking up values in other tables too.
In addition:
Errors need to be better handled. Since errors are returned as JavaScript errors with string representations like "#ERROR!" and since result fields may be number fields where strings cannot be stored, support for selecting a calculation error field of type "Single line text" will be added.
Built With
airtable/blocks
antd
formula
formulajs/formulajs
mobx
react
umd
Try it out
github.com | Spreadsheet formulas for airtable | Extendible formula calculator with out-of-the-box support for 188 functions, including financial, engineering, and more from excel. Extendible with functions from dynamically loaded scripts. | ['Ronen Babayoff'] | [] | ['airtable/blocks', 'antd', 'formula', 'formulajs/formulajs', 'mobx', 'react', 'umd'] | 19 |
9,970 | https://devpost.com/software/emoji-poll | Cards layout with emoji
Cards layout without emoji
List layout with emoji
Displaying votes
The past couple of months have been pretty difficult here in Spain, given the high toll of infections with COVID-19. As companies re-organized to work from home, so did my wife’s. She is currently working as a Product Manager at Inditex HQ, here in Galicia. This was a great opportunity for me to learn about their workflow, which is where I noticed they usually make decisions as a team by casting votes. It can be simple questions like “What gift should we buy for Juan?”, to business-related questions, or company-wide feedback.
This inspired us to create a similar experience for businesses out there that need tools to collect anonymous feedback from their audiences, but have not had a chance to implement these on Airtable. So we created an engaging pooling system, where creators can add voting options in Airtable, together with a unique set of emojis to drive engagement. On top of that, the results are available to everyone, and votes are restricted to one per browser. This makes the entire process safe and transparent.
As we started working on the block, we stumbled upon several unknowns, but the community was quick to help. One of these problems was parsing our meta-content, and replicating our input controllers using different types of fields on Airtable. For example, if the user needs to set a date when the voting is closed, we needed to use the Date field for a familiar experience. It’s here where we got stuck but were quickly guided by someone in the community forums. All in all, it was a positive experience and we look forward to adding dozens of new blocks to Airtable.
Built With
javascript
node.js
svelte
widgetic
widgeticsdk | Emoji poll | Ask questions and get anonymous feedback from your audience. | ['Andu Potorac', 'Nav Saini', 'Andrei Neamtu'] | [] | ['javascript', 'node.js', 'svelte', 'widgetic', 'widgeticsdk'] | 20 |
9,970 | https://devpost.com/software/organic-chemistry-reaction-checker | SMILES option
Airtable dashboard
Ring SMILES
Smiles
3d Compunds
Inspiration
Organic CHemistry as a subject inspired me.This is a place where you get connected with people do the organic chemical reaction online and share
SMILES
What is SMILES?
SMILES (Simplified Molecular Input Line Entry System) is a chemical notation that allows a user to represent a chemical structure in a way that can be used by the computer. SMILES is an easily learned and flexible notation. The SMILES notation requires that you learn a handful of rules. You do not need to worry about ambiguous representations because the software will automatically reorder your entry into a unique SMILES string when necessary.
SMILES was developed through funding from the U.S. Environmental Protection Agency, Mid-Continent Ecology Division-Duluth, (MED-Duluth) Duluth, MN to the Medicinal Chemistry Project at Pomona College, Claremont, CA and the Computer Sciences Corporation, Duluth, MN. Several publications discuss SMILES in more detail, including Anderson et al. 1987, Weininger 1988, Weininger et al. 1989, and Hunter et al., 1987.
SMILES has five basic syntax rules which must be observed. If basic rules of chemistry are not followed in SMILES entry, the system will warn the user and ask that the structure be edited or reentered. For example, if the user places too many bonds on an atom, a SMILES warning will appear that the structure is impossible. The rules are described below and some examples are provided. The rules below allow for the representation of a two-dimensional structure of a chemical. For the ASTER system, a two-dimensional depiction is adequate. Other rules are available for chemicals that are structural isomers, but will not be discussed in this basic tutorial.
Rule One: Atoms and Bonds
SMILES supports all elements in the periodic table. An atom is represented using its respective atomic symbol. Upper case letters refer to non-aromatic atoms; lower case letters refer to aromatic atoms. If the atomic symbol has more than one letter the second letter must be lower case.
Bonds are denoted as shown below:
Single bond
= Double bond
# Triple bond
Aromatic bond
. Disconnected structures
Single bonds are the default and therefore need not be entered. For example, 'CC' would mean that there is a non-aromatic carbon attached to another non-aromatic carbon by a single bond, and the computer would identify the structure as the chemical ethane. It is also assumed that the bond between two lower case atom symbols is aromatic. A blank terminates the SMILES string.
Rule Two: Simple Chains
By combining atomic symbols and bond symbols simple chain structures can be represented. The structures that are entered using SMILES are hydrogen-suppressed, that is to say that the molecules are represented without hydrogens. The SMILES software understands the number of possible connections that an atom can have. If enough bonds are not identified by the user through SMILES notation, the system will automatically assume that the other connections are satisfied by hydrogen bonds.
Some examples:
CC CH3CH3 Ethane
C=C CH2CH2 Ethene
CBr CH3Br Bromomethane
C#N C=N Hydrocyanic acid
Na.Cl NaCl Sodium chloride
The user can explicitly identify the hydrogen bonds, but if one hydrogen bond is identified in the string, the SMILES interpreter will assume that the user has identified all hydrogens for that molecule.
HC(H)=C(H)(H) Ethene
Because SMILES allows entry of all elements in the periodic table, and also utilizes hydrogen suppression, the user should be aware of chemicals with two letters that could be misinterpreted by the computer. For example, 'Sc' could be interpreted as a sulfur atom connected to an aromatic carbon by a single bond, or it could be the symbol for scandium. The SMILES interpreter gives priority to the interpretation of a single bond connecting a sulfur atom and an aromatic carbon. To identify scandium the user should enter [Sc].
Rule Three: Branches
A branch from a chain is specified by placing the SMILES symbol(s) for the branch between parenthesis. The string in parentheses is placed directly after the symbol for the atom to which it is connected. If it is connected by a double or triple bond, the bond symbol immediately follows the left parenthesis. Some examples:
CC(O)C 2-Propanol
CC(=O)C 2-Propanone
CC(CC)C 2-Methylbutane
CC(C)CC(=O) 2-Methylbutanal
c1c(N(=O)=O)cccc1 Nitrobenzene
CC(C)(C)CC 2,2-Dimethylbutane
Rule Four: Rings
SMILES allows a user to identify ring structures by using numbers to identify the opening and closing ring atom. For example, in C1CCCCC1, the first carbon has a number '1' which connects by a single bond with the last carbon which also has a number '1'. The resulting structure is cyclohexane. Chemicals that have multiple rings may be identified by using different numbers for each ring. If a double, single, or aromatic bond is used for the ring closure, the bond symbol is placed before the ring closure number. Some examples:
or C=1CCCCC1 Cyclohexene
C*1*C*C*C*C*C1
c1ccccc1 Benzene
C1OC1CC Ethyloxirane
c1cc2ccccc2cc1 Naphthalene
What it does
Solves Organic Chemistry reactions online using Smiles and share our experiences with peers
It works with Smiles
Try it out
Smiles 1:- CCC1C=CC=C1
Smiles 2:- C1C=CC=C1
Then click prediction after that wait for a while to view the prediction.
How I built it
I built using Airtable HTML5 and JavaScript
Challenges I ran into
Integrating Airtable platform
Accomplishments that I'm proud of
Getting the system online
What I learned
Organic Chemistry reactions are easy
What's next for Organic Chemistry Reaction Checker
More features
Built With
airtable
azure
html5
javascript
Try it out
santu12.z23.web.core.windows.net | Organic Chemistry Reaction Checker | In today's world we are connected via internet it's easy to learn Organic Chemistry and share our experience with peers | ['Abhishek Nandy'] | [] | ['airtable', 'azure', 'html5', 'javascript'] | 21 |
9,970 | https://devpost.com/software/volunteer-meal-capacity-planning | Inspiration
I decided to use the non-profit use case (Meal Capacity Planning) provided by Airtable as I found it more relevant and would make wider social impact.
What it does
Volunteer meal capacity planning supports the following user stories:
As a Volunteer I want to be able to know the number of available meals So that I can provide suffiencient food to the needy people.
As a Volunteer I want to be able to know the number of people who are in need of meals So that I can manage the meals inventory
As a Volunteer I want to be able to understand the over or under utilization of meals.
How I built it
I used the prebuilt template available in Airtable and customised it to solve the meal capacity planning challenges faced by Volunteer organisations. The meals were categorised based on meal type - veg, non-veg, vegan, fruits, and desserts. I used following blocks to bring clarity in the solution.
Meals served daily count
- to identify the number of meals server every day. It also captured the no of meals served from each food bank.
Meals Available
- to get the inventory available based on each meal type (veg, non-veg, vegan, fruits, desserts), meals available in the foodbank and meals out for delivery out of the foodbank.
Inventory In Log
- captured the inventory in more detail based on date, individual meal type added on that date and quantity added to each foodbank.
** Inventory Discard Log** - captured the meals which is expired and the quantity should be reduced from the number of available meals for delivery.
Volunteer Data Tracker
- is used to capture the volunteer contact information
Foodbank Sites Data
- is used to define the foodbank location type and map with meals available for each food bank and discarded meals.
Meals Donation Scheduler
- provided the meals schedule based on Meals Delivery Calender. This brings in efficiency in food delivery and tracking.
** Meals Supply Chain Survey** - is added to get the feedback from needy people using the volunteer organisations for meal
Challenges I ran into
I used the airtable for the first time. Though it's very good and easy to use, I strugged to link the various tables in order to get formula working for few tables.
Accomplishments that I'm proud of
I came across Airtable and came across so many interesting use cases. I'm sure that I'm going to use it in future hackathons.
What I learned
Rapid prototyping using Airtable and innovative templates available.
What's next for Volunteer Meal Capacity Planning
Discovery more feature of airtable and make the prototype more robust and get ready for production level.
Built With
airtable
Try it out
airtable.com | Volunteer Meal Capacity Planning | My idea is to provide a meal capacity planner base for volunteers who are involved in providing food to people in need. | ['Amol Masurkar'] | [] | ['airtable'] | 22 |
9,970 | https://devpost.com/software/teamup-realtime-update-activity-feed-and-discussion | Inspiration
inpiration from building this block is when I'm running task management in airtable I want to easy to find out my activity and team and discussion
What it does
this block have 2 feature that is
-TeamActivity
viewing all the changes real time based on field that want to track
can sort the changes by latest,oldest and filter it by selected field that user want
-TeamDiscussion
discussing issue or blocker ,ceeate topic and comment in that topic
How I built it
using fullstack airtable(API,block,UI component), connecting between table,and many more
Challenges I ran into
many challenge I get from this hackathon :), but it's fun when I can resolve it
Accomplishments that I'm proud of
-filtering by user customization field
-sorting by latest and oldest changes activity
realtime update change activity using warchable
-automation for creating table and field
-make chatroom for discussing issue or blocker
## What I learned
many knowledge about airtable (api, block sdk, ui component)
-my first time for learning react hook in this peoject
## What's next for TeamUp! - Realtime Update Activity Feed and Discussion
make it be super block with creating features all in one collaboration tool in TeamUp! Block for improving team collaboration airtable user
Built With
airtable
airtable-api
airtable-block-sdk
react | TeamUp! Blocks- Realtime Update Activity Feed and Discussion | TeamUp! - Realtime Update Activity Feed and Discussion for Solving Blockers and Issues | ['Dimas Nashiruddin Al Faruq'] | [] | ['airtable', 'airtable-api', 'airtable-block-sdk', 'react'] | 23 |
9,970 | https://devpost.com/software/trip-advisor | Inspiration
People usually spend hours to plan a perfect trip, which place to go, what's the route gonna be like, how many places do I need to go a day? How many days do I need for this place, etc. With TripAdvisor, you can plan trip in a second. The most important thing is, it will save the trip details to your Airtable account and you can share this trip planner with your friend easily.
Once we resume our life from pandemic, we'd like to see small businesses and travel agencies back on track soon. With TripAdvisor, people can easily plan a perfect trip, and our Outside Trip feature tells people what nearby point of interests are. We hope TripAdvisor can help people gather together after covid19.
What it does
City Trip: Users just need to put a City that they want to go visit, and select a day that they gonna spend there. Then, we will magically create a perfect trip for users.
Outside Trip (Feeling lucky): Over the weekend, you are thinking to hangout with friends and family, but where to go? You just need to select a direction, North, East, West, and South, which direction you'd like to go. Then, TripAdvisor will craft a perfect one day trip for you.
Built With
airtable
django
react | Trip Advisor | Ever got frustrated when planning a trip? Trip Advisor provides you an intelligent and personalized trip plan in a snap. You no longer need to spend hours to do homework before go to a trip. | ['Yumiko Huang', 'Kenneth Chen'] | [] | ['airtable', 'django', 'react'] | 24 |
9,970 | https://devpost.com/software/newsletters-made-easy | Inspiration
N/A
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Newsy
Built With
airtable
mailchimp
node.js
react | Newsy | Newsletters Made Easy | ['Soyo', 'Samantha Bretous'] | [] | ['airtable', 'mailchimp', 'node.js', 'react'] | 25 |
9,970 | https://devpost.com/software/bulk-image-editor | Bulk image editor screenshot
Blocks Panel
Gallery view
Edited image with watermark
Screenshot
Bulk image editor is an airtable block which will help in editing large number of images for e-commerce and social media.
Removes background from the images using AI background removal API
Crops images according to dimension specified by the user
Applies either a selected background image or background color to the images
Applies an watermark text to the images.
View picker to select various views and filters and thereby control the records that are being edited
Background can be set to either a selected color (using a color picker) or any background image
Image manipulation (compression, cropping, padding, text overlay etc) are performed using Cloudinary API
Can be used by e-commerce stores for editing images, and for generating images and banners for social media posts.
This saves a lot of time and effort in generating beautiful looking images!
Built With
airtable
cloudinary
node.js
react
remove.bg
Try it out
airtable.com
github.com | Bulk Image Editor | Bulk image editor helps in editing a large number of images easily for e-commerce and social media. Image manipulations like watermarks, resize/crop, background removal, image overlay etc are done! | ['Jayshree Anandakumar'] | [] | ['airtable', 'cloudinary', 'node.js', 'react', 'remove.bg'] | 26 |
9,970 | https://devpost.com/software/smart-calling | Home Screen
Home screen with Airtable
Send Multiple sms to a specific people in a view
Send Voice messages(makes a voice call and says the message)
Single sms /voice messages are also possible.
Inspiration
When starting a small company, you dont have the resources to build a CRM system or maybe buy one.But it's really necessary from the beginning to send welcome messages/run marketing campaigns or payment reminders.
Airtable can help you set up a basic CRM from the start, but wouldn't it be cool if we could just segment people in a view and send personalised text/voice messages?
So made it!
What it does
It's like a telephone inside Airtable, you can quickly send sms/voice reminders to people in a specific view.
So if you need to send a payment reminder /meeting reminder/discount coupons , it's so easy that you can do it in less than 30 seconds.
How I built it
I started with the tutorial sent via email, the Airtable UI components really helped in faster implementation too.
Challenges I ran into
I haven't still figured out a way to import custom css files. Would love that. Also took some time to figure out the Twilio integration.
Accomplishments that I'm proud of
Very happy that I was able to finish this on time, and made something which I really can use, for my startup.
What I learned
React ,Twilio integration and time management(HAHA). Really loved the block platform and block integration, thinking of much more use cases.
What's next for Tely
Rely on a secure backend so that Twilio credentials need not be shared.
Call Logs
Saved call/sms logic so when a new record is added automatically sends the notification.
Tasks to run automatically in specific schedules too, so user dosent need to worry about running the tasks manually
Built With
node.js
twilio
Try it out
github.com
www.producthunt.com
www.producthunt.com | Tely | Sms and Voice messages inside Airtable. | ['vimal Gopal'] | [] | ['node.js', 'twilio'] | 27 |
9,970 | https://devpost.com/software/matchmaker-bjtzvc | Inspiration
Airtable makes it easy to organize tabular data, but once you move beyond a single table, things can start to get complex. MatchMaker helps optimize matches between Organizations and Candidates by displaying all of the information you need for informed decision making in one handy block.
What it does
MatchMaker helps optimize matches between Organizations and Candidates by displaying the Organization's requirements inline with available candidates. Everything is customizable so that it works with any Base/Table/Fields.
How I built it
I started from the handy
To-do list tutorial
, which conveyed the basics in a handful of hours. From there I started over with my own new block, consulting the
API Reference
as I ran into challenges or searched for solutions.
Challenges I ran into
While the
Guides
and
API Reference
are well-written, I could have benefited from a great deal more examples and example usage. The API Reference would completely detail a given object, for example, but seldom share demonstrations of usage, which are critical to gaining quick understanding of new concepts.
What I learned
I've been wanting to play with Airtable for a very long time, and I'm glad this contest pushed me to finally do so. While not demonstrated here, I've been using the
automatically-generated REST APIs
for my other Bases in a number of projects. This contest was a great opportunity to learn a new way to create advanced new functionality with Airtable "inside" a Base.
What's next for MatchMaker
MatchMaker is currently a proof of concept - I hope to flesh it out further and create a real matchmaking web site to help connect organizations in need with technologists who wish to contribute their skills!
Built With
airtable
javascript
react | MatchMaker | MatchMaker helps optimize matches between Organizations and Candidates | ['David Groom'] | [] | ['airtable', 'javascript', 'react'] | 28 |
9,970 | https://devpost.com/software/wordify | Inspiration
Simple Dictionary which a user can access quickly while reading any article , also able to copy the definitions of the word easily and quickly
What it does
Wordify is Custom Block for Airtable.
-User list the topics about which user wants to learn
-User extracts sumary from Wikipedia by using button availabe on custom Block
-Block will extract information from Wkipedia and will fill the table
-Now when user select any cell on the table which has extracted information from Wikipedia then Block will tokenise the text and will provide the list of words.
-Now if user selects any word from the list then Block will collect definition of the word from Wiktionary and identify various part of speech from the response. Output is displayed on the block interface
How I built it
Using Airtable Example as starting point
wink-tokenizer to tokenise the word
Wiktionary API to fetch the information using API
Cheerio package to parse HTML and prepare the output
Challenges I ran into
parsing HTML data
Accomplishments that I'm proud of
I can successfully provide wiktionary data right on the block interface which any user can store in the table easily without paying any money for licesne
What I learned
Block SDK , Cheerio, wink-tokeniser
What's next for Wordify
Provide advance features of dictiory, leematization, image examples
Built With
airtable
blocksdk
cheerio
wikipedia
wiktionary | Wordify | Wordify helps students to learn about word definition and part of speech.It extracts info from Wikipedia and and identify list of words used in the extract. User can learn about the selected word. | ['Saleem Javed'] | [] | ['airtable', 'blocksdk', 'cheerio', 'wikipedia', 'wiktionary'] | 29 |
9,970 | https://devpost.com/software/airtable-etsy-integration | Screenshot of Etsy block
Inspiration
A lot of people use Airtable to manage their Etsy store inventory and plan out future listings, but end up needing to copy all that information over when it comes to making the listing on Etsy.
I wanted to make a way to integrate the two together, allowing users to make Etsy listings directly from Airtable.
What it does
Taking the data from a single record, the block previews which fields will be sent over, then hitting the 'Make Listing' button in the block creates a draft listing on Etsy. From there, the user can do any last tidying up they want to do on Etsy and then the listing is ready to publish on their store
How I built it
Using the existing block examples for guidance, I built out the Airtable side, and use the Etsy API documentation to get integrated with their API
Challenges I ran into
I hadn't done any work around authorisation before, so getting things working with OAuth and passing things around properly was a bit confusing
Accomplishments that I'm proud of
I built this in 2 days, and with an API that often had slow and unreliable responses, so it was exciting to get this working in time
What I learned
I learned a lot about how authorisation works, and also about React Hooks as I used the provided Airtable ones.
What's next for Airtable Etsy Integration
This is still a bit of a WIP, so there's lots more work I would like to do around handling edge cases and providing more flexibility for the user, such as being able to upload photos etc.
Built With
airtable
etsyapi
javascript
react
Try it out
airtable.com
github.com | Airtable Etsy Integration | Create Etsy listings directly from Airtable - now you can manage and upload your listings all in one place | ['Aleena Baig'] | [] | ['airtable', 'etsyapi', 'javascript', 'react'] | 30 |
9,970 | https://devpost.com/software/ipfs-sync-block | Inspiration
Inspired by the pre-existing Syncing Block and IPFS
What it does
Either syncs a table to IPFS and returns a hash, or if you have a hash and the format is correct, populates your table with data from IPFS.
How I built it
Javascript and the nice Airtable examples
Challenges I ran into
Took me a while to come up with a good enough idea. Wish I had a few more days to work on it since I was bumping into some React things I'm not super familiar with.
Also having issues with releasing the app. Pretty similar to
this issue
Accomplishments that I'm proud of
Wrote the demo in less than 24 hours.
What I learned
Learn more React.
What's next for IPFS Sync Block
Usage of globalConfig for Table/View settings
More error handling
Instead of adding JSON to IPFS, export as .csv
Ability to import .csv from IPFS
Record keeping of the updates to IPFS in another table
Built With
javascript
Try it out
github.com | IPFS Sync Block | Bi-directional syncing using IPFS | ['Eriks Reks'] | [] | ['javascript'] | 31 |
9,970 | https://devpost.com/software/automator | Bing Search Block - Search Results
Bing Search Block - Review Selection
AutoML Prediction Block - Choose Source
AutoML Prediction Block - Configure AutoML
AutoML Prediction Block - Review Settings
AutoML Prediction Block - Predictions
Image Annotator Block - Welcome
Image Annotator Block - Annotation Sample
Image Annotator Block - Annotation Complete
AutoML Training Block - Choose Source
AutoML Training Block - Configure AutoML
AutoML Training Block - Review Settings
AutoML Training Block - Pre-Processing
AutoML Training Block - Model Building
PDF Data Extraction - Select Source
PDF Data Extraction - Extraction
PDF Data Extraction - Review Extraction
PDF Data Extraction - Complete
Above is the introduction video. Here's the youtube
playlist
that contains the full demo.
Inspiration
Recent advancements in Deep Learning in the areas of Computer Vision and Natural Language Processing have meant that machines can do lot of cognitive tasks that humans can do. Businesses have seen efficiency improvements due to automation using these advancements. However, these advancements are not fully democtratized yet due to various skill sets and tools required for the end to end process of building deep learning systems. The typical workflow involves gathering training data for the domain you are trying to solve the problem in, labeling the dataset, building a model, evaluating and iterating on it and finally productionizing it to make it available for predictions.
Airtable is a great platform to provide self serve for users who are interested in using the latest advancements in deep learning into their automation projects without the traditional complexity involved.
What it does
We have built a set of custom blocks using well known APIs to help anyone using Airtable to use the power of deep learning in their workflows.
How we built it
We have built custom blocks for different parts of the workflow
Data Gathering - We have built a custom Bing and Flick search block that allows users to gather data from public sources using simple keywords
Data Labeling - We built an image annotation/labeling block that can be used to label image datasets once they have been gathered via the data gathering blocks.
End to end model training and prediction - We use AutoML vision platform from Google Cloud for our model training and prediction blocks
Data Extraction - We use Nanonets API to extract information (OCR) from image documents for our Data Extraction block.
Challenges we ran into
Most of the challenges we encountered during the development was integrating with Google Cloud. The issues we encountered are as follows:
Cloud SDK doesn't work in Browsers. None of the Javascript client libraries from Google Cloud SDK suite works within the browser. We had two options, one was to setup a server side proxy that acts as a gateway for talking to GCloud. This would mean that we would have basically expose each of the service libraries we were using as another REST API that we can talk from Browser. The other approach was to talk to REST API directly from the browser managing the OAuth flow ourselves. We took the later route because we wanted to have less friction in using the Blocks even thought it might be harder behind the scenes for us.
None of Google Cloud Service REST API have CORS enabled. The Vision block was able to circumvent this by passing the API Key as a query param, but for OAuth flow we had to pass Authorization header which was not possible unless the Server had *.airtableblocks.com in the allowed origin and also allowed credentials to be sent. At this point, it was evident that we need some kind of Server side proxy for accessing the cloud services that would also give out CORS Headers to integrate with the Block. We ended up setting up a simple nginx server with LetsEncrypt based HTTPS Certificate to allow us to make secured proxy requests from the browser to the respective Google Cloud Service. We've put it out on the Public Domain at
https://github.com/ashwanthkumar/gcloud-proxy-cors
.
Accomplishments that we are proud of
The suite of blocks we've built could enable anyone to build an end to end image classification deep learning model right from Airtable. While anyone could use the Predict Blocks as part of their daily workflows, the data scientists could create, evaluate, deploy and predict models from within their Airtable base. Airtable Bases are the new Jupyter Notebooks!
What we learned
With Blocks we could automate lot of workflows right within the Base.
Bases and the Blocks Platform also enables anyone to quickly prototype and demonstrate features to end users with ease.
What's next for Automator
Investigate running the workflows as part of an end to end workflow which runs on triggering a button (assuming everything is configured by the user) or on a schedule. We could use Zapier or a open source workflow tool like Cadence.
Work on integration of other types of AutoML services like AutoML Natural Language and AutoML Translation by building specific bots for them
Improve the documentation of the existing blocks
Built With
automl
nanonets
nginx
node.js
react
Try it out
github.com | Automator | Suite of custom blocks to help anyone use end to end deep learning technology to solve their business problems. | ['Rajesh Muppalla', 'Matild Reema', 'Ashwanth Kumar'] | [] | ['automl', 'nanonets', 'nginx', 'node.js', 'react'] | 32 |
9,970 | https://devpost.com/software/form-buddy | Form Buddy Auto-generated form
Form Buddy Validation Rules
Form Buddy Custom Block
Inspiration
Entering the right type of data is really important for ensuring what gets stored is to the highest possible quality. Airtable Bases can be used by many different people within businesses, each with different knowledges of what data needs to be stored in the tables. What if we can make the process of entering data as simple and accurate as possible?
What we learned
The Airtable team has made creating Blocks a pretty straightforward, and dare I say it fun, experience. We were able to make pretty decent progress with the provided UI kit and documented APIs, so thanks!
Challenges we faced
The UI kit doesn't contain all of the ways of controlling all of the types of field available in an Airtable table. This has meant we've had to replicate some UI components required for managing things like linked records and rating for instance, and it's been tough to match the standard of the Airtable developers. We hope to continue to improve and iron out the differences in future releases.
Built With
airtable
javascript
react
Try it out
airtable.com | Form Buddy | A form generator and data validation block for your Airtable tables, making your data entry quick and accurate | ['Jonathan Bowen', 'John Norris'] | [] | ['airtable', 'javascript', 'react'] | 33 |
9,970 | https://devpost.com/software/payroll-for-contract-employee | Basic Employee Details
Salary Generation Table
Database where Salary Data is Freezed
Inspiration
The currently available payroll software is not built in keeping contract employees in mind. With Airtable, why not build one?
What it does
The payroll system I have built supports following functions
Managing Internships and Probation with different rates
Allowances that begin and end in mid of Month on pro-rata basis
Advances
Deductions that begin in Mid of Month
Managing Unauthorized Leave records and salary deductions
Freezing Records
How I built it
Used the example of Wikipedia enrichment block shared by Airtable and built over it.
I am using Blocks to freeze salary records for each month.
Challenges I ran into
Debugging. Whenever I faced any issue, google didn't help.
Accomplishments that I'm proud of
Learning about formulas, designing
What I learned
I don't know much about ReactJs but understood the basics while reading the To-Do tutorial shared by Airtable.
What's next for Payroll For Contract Employee
Pay Slip generator
Payment File Creator
Built With
react
Try it out
github.com | Payroll For Contract Employee | Payroll for contract employees Managing Probation, Allowances(pro-rata basis), Advances, Deductions, Unauthorized Leaves, Salary deductions, Freezing Records, etc. | ['Shashi Kumar Sah'] | [] | ['react'] | 34 |
9,970 | https://devpost.com/software/team-voting | Create WOC Form
New Session Form 1
New Session Form 2
Multiple Choice Option
Bar Graph
Pie Chart
Questionnaire Builder
Final Report
Wisdom Of Crowd
A real time team voting app.
View the demo »
Table of Contents
About the Project
Inspiration
Built With
Getting Started
Prerequisites
Installation
Abpout the Block
About the block
Airtable Functions Used
Airtable Hooks Used
Components and block walkthrough
Step 1
Step 2
Step 3
Question Types
Step 4
Session Types
Step 5
Question and Answer Round
Step 6
How I built it
Contact
About The Project
Wisdom Of Crowd Youtube video
A realtime team voting app to make better decisions. Be it work or a school activity, wisdom of crowd helps you to take better decisons about your idea, along with team's opinion.
This block makes use of airtable's base to store the session data and display results with help of charts and graphs.This allows data to be efficiently stored on the table, and to be updated and reused whenever needed.This helps the creator to analyse the worth of his/her idea and proceed accordingly.
Inspiration
The inspiration of this came to us while pitching an idea to a group of friends, who all had their opinion regarding it, so we decided to create something which enables us to easily take a note of each person's opinion and analyse it efficiently to move forward with the idea/project and proceed in a certain direction.
What seperates us from the other similar chat platforms?
The first distinct quality that seperates us from other similar platforms was the customizability/flexibility that we offer. The exhaustive coverage of the various forms of discussion encompassed in a single group chat platform, to ensure a comprehensive exchange of ideas and conveying of ideas is something that this idea has brought forward.
Getting Started
To get a local copy up and running follow these simple steps.
Prerequisites
The following includes the things you will need to use the software and how to install them. Make sure you have git installed on your system.
For a general everview of Airtable setup, you can check out their official website for further instructions
how to setup your Airtable Block
,
as we will follow similar steps
.
Installation
Clone the
airtable_wisdom_of_crowd
repo:
git clone https://github.com/sarthakarora1208/airtable_wisdom_of_crowd.git
Install blocks-cli using
npm
:
npm install -g @airtable/blocks-cli
Install requirements using
npm
:
npm install
Run the dashboard
To run the block you will need to navigate to that folder and execute the following
block
command:
block run
About the block and components
About the block
This lockdown has been long for all of us, all of us have yearned to go back to our work and share and express our ideas and get valuable feedback from others.
Wisdom of crowd
is a team voting
web-app/block
you can use to generate a wide range of questions, answer questions about each other ideas and get data statistics for each question. So when you reach the base or run the block, the following happens:
Airtable Functions Used
This block uses a variety of airtable functions to maintain its flow-
Base.getTableIfExists
- gets the table matching the given ID or name provied as arguments. Returns null if no matching table exists within this base.
Base.unstable_createTableAsync
- creates a new table with the name and fields provided to it as arguments.
Base.unstable_createTableAsync
- creates a new table with the name and fields provided to it as arguments.
Table.createRecordAsync
- Creates a new record with the specified cell values provided to it as arguments in form of fields object.
Table.updateRecordAsync
- Updates cell values for a record, based on record provided along with updated field values as an object as arguments.
Table.deleteRecordAsync
- Deletes the given record, based on record argument.
Record.getCellValue
- Gets the cell value of the given field for this record based on the fieldId or name provied as argument.
Record.getCellValueAsString
- Gets the cell value of the given field for this record based on the fieldId or name provied as argument as string.
cursor.setActiveTable
- Sets the specified table to active in the Airtable UI based on table Id or name provied as arguments. If the blocks pane is fullscreen, the table will still be set as active, but the blocks pane will continue to be displayed fullscreen.
cursor.activeTableId
- returns The currently active table ID. Can be null when the active table has changed and is not yet loaded, and can also refer to a table that is not yet loaded
base.activeCollaborators
- returns
The users who have access to this base, in form of collaborator data.
base.getCollaboratorIfExists
- return the user matching the given ID, name, or email address provided as argumemt and null if that user does not exist or does not have access to this base.
expandRecord
- expands cell values for a record, based on record provided as argument from it's table.
Airtable Hooks Used
Various hooks used by the block are-
useBase
- A hook for connecting a React component to your base's schema. This returns a Base instance and will re-render your component whenever the base's schema changes.
useWatchable
- A React hook for watching data in Airtable models like Table and Record. Each model has several watchable keys that can be used with this hook to have your component automatically re-render when data in the models changes.You can also provide an optional callback if you need to do anything other than re-render when the data changes.
.
Step 1
component -> Home
You are welcomed with the home page of the Block, which has a create new table button, which upon clicking generates a new
My Sessions
table if the table previously does not exist, and redirects to the
create wisdom of crowd session
page, to create a new session with all the session details.
Step 2
component -> CreateWocSession
table -> My Sessions
On create woc session page a form is shown to fill out the session details, in order to store the data in the database as well as on airtable's
My Sessions
table, which if needed to be edited or deleted, can be done from the table itself. The form has various fields to know about the session like:
Session Name
Session Description
Number Of Questions
Team Members (who first needs to be invited to base, to send them request to be apart of the game)
Scheduled Time
On submitting the form the data is added in the
My Sessions
table as well as database and a new table
Session Name- Questions
is created, and the session creator is now redirected to the
Questionnaire Builder
page, to add questions for that particular session.
Step 3
component -> Questionnaire Builder
table -> Session Name - Questions
On Questionnaire Builder, the user is shown with an add questions button to add the question for that particular session they created. On clicking the button a modal pops up, which consits of a form to add the question's details like:
Question Number
Question
Question Type
With an additional
Options field
to set the options for a particular question type.
Question Types
Various question types are -
Wisdom Of Crowd
- this type of question allows the team member to freely express their opinion or feedback on the particular question asked.
Yes Or No
- this type of question allows the team member to choose whether they would say yes or no as an answer to the particular question asked.
Rating
- this type of question allows the team member to give a rating as an answer to the particular question asked.
Multiple Choice
- this type of question allows the team member to choose any one answer from the options provided for the particular question asked.
Dropdown
- this type of question allows the team member to choose any one answer from the options provided in the form of dropdown for the particular question asked.
Checkboxes
- this type of question allows the team member to choose multiple answers from the options provided for the particular question asked.
Ranking
- this type of question allows the team member to drag and arrange the options in a particular ranking of their prefrence as an answer for the particular question asked.
Upon clicking the submit question button, the question is added in the
Questions table
as well as in the
Questionnaire Builder
. The question can be editted or deleted from both the Questionnaire Builder and the Questions table.
In a similar manner the session creator adds all the questions, along with the question type and options that he or she needs to ask their fellow team mates. On clicking the done button all questions are saved in the database and the session creator is directed to
Session Dashboard
page, to view all the sessions.
Step 4
component -> SessionDashboard
table -> My Sessions
On Session dashboard, the user has all the details of their sessions.
Session Types
It consists of
three
types of sessions:
Pending Sessions
- this includes the sessions which have been created by the, but have not yet been started by the user.It consists of various buttons-
Sending Invites
- Pending Sessions table includes asend invitation button to send the email invitation to the team members with the help of node mailer and calendar api, after the session has been created. Once the invitation has been sent, this button is replaced by the start button.
Start Session
- this button is shown only after the creator has send invites to all team members.But initially this button is diabled and is activated only five minutes before the scheduled time of that particular session and when clicked two things happen:
An email is sent to all the attendees with the game code for that session
And the creator is directed to start game page, where the question and answer round begins.
Delete Session
- this button is used to delete a particular session.
Invited Sessions
- this includes the sessions to which user has been invited by a team member.It consists of various buttons-
Join Session
- this on being clicked opens up a model, which asks for the game code for that particular session, so that the user can enter the correct game code which was emailed to them and become part of the question and answer round to express his opinion regard the session idea.
Delete Session
- this button is used to delete a particular session.
Completed Sessions
- this includes the sessions which have been completed.It includes both the session of which the user has been part of or he/she has created.It consists of a single on click action-
Generate PDF
- the particular session on being clicked in this table genrates the PDF for that session, which includes all the session details as well as question details of each question that was asked and also the statistics of that particular question, all in the PDF.
Step 5
component -> Game/StartGame/StartSession
table -> My Sessions
Question and Answer Round
So the session begins when session creators(let him be called Sandy) clicks on start session and waits for team members to join, Eurus joins, Harry joins, Rohan joins, the session length of questions is decided based on number of quetsions creator has entered for that session.
Once everyone has joined Sandy starts the game.
All the user's are shown the question, "If as a company we decide to go fully remote, what are the challenges we may face? (WISDOM OF CROWD)"
As it is a wisdom of crowd question everybody writes theoir own answer
Sandy answers
"Communication between teams", and waits for Eurus, Harry, and Rohan
Eurus Answers
"Employee productivity may come down", and waits for Rohan and Harry
Rohan Answers
"Internet issues in video calls", and waits for Harry
Harry Answers
"Managing working hours"
The game collects all answers and every one is show all the answers except their own answer, (you can't choose the answer you wrote)
Rohan is shown all the answers in a jumbled order
Employee productivity may come down
Managing working hours
Communication between teams
Rohan chooses the third answer, "Communication between teams" and waits for others to answer
Harry also chooses, "Communication between teams",waits
Eurus chooses "Internet issues in video calls", waits
Sandy chooses "Managing working hours"
In this Round Eurus chose Rohan's answer and her answer "Employee productivity may come down" was not chosen by anybody.
The game collects all the chosen answers and displays the statistics in form of pie chart and bar chart, thus depicting a clear analysis of each question, and how much each member thinks your opinion is worth and whether they find relevant or not, along with how many votes each option got:
Communication between teams
2
Internet issues in video calls
1
Managing working hours
1
Employee productivity may come down
0
All the team members click on ready and wait for everyone to be ready.
After all of the team members are ready the game shows the next question
In a similar manner based on question type they either write their own answer or select from options provided like as below:
All the user's are shown the next question, " What is your preferred medium of communication(MULTIPLE CHOICE)"
As it is a multiple choice question everybody is provided with options to chosse from as asnwer
Options
Email
Slack
Video Call
Text
Sandy chooses
"Email", and waits for Eurus, Harry, and Rohan
Eurus chooses
"Video Call", and waits for Rohan and Harry
Rohan chooses
"Video Call", and waits for Harry
Harry chooses
"Text"
Like as previous question the game collects all the chosen answers and displays the statistics in form of pie chart and bar chart, thus depicting a clear analysis of each question, and how much each member thinks your opinion is worth and whether they find relevant or not, along with how many votes each option got as legend in form of:
Video Call
2
Email
1
Text
1
Slack
0
The rest of the rounds are played in a similar manner with different question types and after all the questions are answered the game is over and all the team members are redirected to
final report page
, to get the details of all questions asked.
Step 6
component -> Game/FinishGame/FinishGame
table -> Session Name - Final Report
After the Game is finished, ever team member is redirected to
final report page
and is presented with the detailed view of every question aksed for that particular session as well as a PDF is automatically downloaded with the all details of that session including votes and statistics.
The table has the following fields:
Question Number
(self explanatory)
Question
- the content of each question asked.
Question Type
- the type of each question asked.
Options
- stores the options.
On clicking this field, a modal pops up showing how many votes each option has got.
Display Statistics
- on clicking this field, a modal pops up showing a barchart and piechart.
More Details
- a detailed view of the record is shown.
If you would like to see the above steps process, checkout the Block in action, found in the
frontend folder
.
How I built it
This game was built using Airtable Blocks SDK and Airtable, MongoDB, React, Redux, Express, Node and Redis Streams and Data Structures.
Airtable Blocks SDK:
This is used to design the ui components in React to make the Block more attractive and visually impressive.
Airtable:
This is used to store the session data and question data along with the images of statistics.
MongoDB:
This is used to store user info, and questions in the game, addtionally it stores data about the previous games
Node:
NodeJS works as backend of the application the players communicate to the Redis streams by the means of POST Requests.
While setting up Airtable Block and using its blocks ui components, Then there was the challenge of creation, updation, deletion of record with all changes made in the table.
Distributed under a MIT License. See
LICENSE
for more information.
While making the frontend like setting up theming and components using Airtable UI, then there was the challenge of updation state upon each event in the redux store
Contact
Sarthak Arora -
[email protected]
Varun Ramnani -
[email protected]
We were able to make a decent enough Block/app which can be efficiently used by various companies as a solution to team voting.
Youtube video link
https://www.youtube.com/watch?v=P0Oo7UtDOwE
Using typescript efficiently
Using Airtable and its blocks ui properly
Implementing Model-View-Controller pattern in backend
Using JWT authentication in NodeJs
Setting MongoDB Atlas
Defining Complex Schema's in MongoDb
How to setup a full stack application using the MERN stack
How to publish a Block
Setting up Redis on our machines
Using Redis Streams
Communication using different streams
Using Lists in Redis
Future Updates
Add machine learning to make the web app more interactive.
Add auto translate.
Integrate a chatbot to do all of this process hands free.
Make the game ui more interactive
Built With
airtable
express.js
javascript
mongodb
node.js
react
typescript
Try it out
github.com | Airtable Wisdom Of Crowd | A realtime team voting app to help make better decisions. Be it at work or in school, Wisdom of Crowd helps you to take better decisions, by consulting your team members in real time. | ['Sarthak Arora', 'Varun Ramnani'] | [] | ['airtable', 'express.js', 'javascript', 'mongodb', 'node.js', 'react', 'typescript'] | 35 |
9,970 | https://devpost.com/software/speak-updates | block's settings UI
Airtable block "SpeakUpdates"
Airtable block addon that allows users, by using Browser built-in Text-To-Speech engine, listen for updates in realtime.
(Initial version only have RecordAdded/Removed events detection)
Inspiration
I was thinking about "Activity Feed" topic and "viewing all the changes being made to records in real-time" part. And I realized that a lot of users would like to listen spoken text of those events. Simple sound alarm is, well, too simple (besides, people nowadays don't pay attention to those sounds, since there are overload of them). Besides, TTS of events could help people with disabilities.
Inspired by airtable chime block - but with TTS. A lot of users wanted this functionality.
No third-party services for voice used, so no messing with API-keys/generation-download-wait-time and stuff like that.
How I built it
it was crazy two weeks (I only read about contest about two weeks ago)
What it does
Speak realtime updates
: as long as block is active!
Record added/removed
: only those events. But you can use airtable views with filters to have some customizations
Fine-tuning
: choose tables/views. Configure what fields to speak, alias for field names, type of Source to speak. More to come
Easy to use
: not much in UI, just add trigger in settings
Challenges I ran into
no experience working with React. No experience with Airtable API.
Didn't tested on MacOs at all, so probably Safari wouldn't work, or any browser on Mac.
Accomplishments that I'm proud of
Tested on Windows 10 Chrome/Firefox/Edge - all good.
It does really working! I can hear content of incoming record added instantly!
What I learned
Airtable Rules!
What's next for Speak Updates
more events
: Record update
MacOS
: I hope to make it work there too (who knows, maybe it already working???)
speed
: a lot of speed-up in UI is possible
nice UI
: with dedicated UI widgets
internationalization
: user could choose lang for different triggers
more templates
: in resulting text to speak
sound alarm
: probably user would like to have some "Ding" first, and then text
3rd-party TTS services
: who knows maybe it would be good?
Built With
airtable
react
tts
Try it out
github.com | SpeakUpdates | Using built-in browser's Text2Speach engine to speak realtime updates of data | ['Yuriy Klyuch'] | [] | ['airtable', 'react', 'tts'] | 36 |
9,970 | https://devpost.com/software/graphql-import | 1. Explore Data via GraphQL
2. Visualize, Validate, and Import it
3. Browse in Airtable
Inspiration
I've been working with
GraphQL
recently, and have found it to be such a powerful self-documenting way to retrieve and make sense of data and it's structure. And Airtable is a great destination for data for further sharing, analysis, visualization, presentation, and more. Connecting the "graph" of data from a query response to the notion of tables and related records in Airtable inspired me to create an interface that connected the two!
What it does
This custom Airtable block allows you to import data by hitting any GraphQL endpoint. After choosing an endpoint, and copying in any required headers to authorize the request (if not a public endpoint), you can browse the data, it's docs, and play with any queries in
GraphiQL
. Once you've settled on a query and shape of the response, you can import this data through guided prompts, which have you confirm the tables/fields that would be created (or have conflict with existing tables) and the data that would be inserted into those tables. Test your query, validate the schema, import the data... profit!
How I built it
This block is built with Typescript, and React (by virtue of the Blocks SDK). It heavily leverages Javascript libraries like graphql, graphiql, jsonpath, lodash.
Challenges I ran into
Overall, the Airtable SDK was pretty smooth to use. It would have been useful to be able to delete tables via API (with the user's confirmation) and make linked records as part of creating or updating a table.
Accomplishments that I'm proud of
How quickly I got something up & running! (and released!)
What I learned
How much you can do with Airtable! I was familiar with it from some use cases in previous work experiences, but building something w/the Airtable API helped me understand the powerful primitives Airtable is built on (and how to make a great React platform). Using Blocks SDK through this hack reinforced ideas that "low code" platforms can be a force multiplier.
What's next for GraphQL Import
feedback! and bug bashing!
better types (not just "single line text" for all fields)
improve error handling / error messaging for the end user
support for Relays spec
Built With
react
typescript
Try it out
github.com | GraphQL Import | Import data into your Airtable base from any GraphQL endpoint! | ['Avi Moondra'] | [] | ['react', 'typescript'] | 37 |
9,970 | https://devpost.com/software/bp-connect | Inspiration
Just you and your Medical Experts on Airtable.
Thousands/Millions of People suffers various kind illness like Cancer, Blood Pressure, Depressions, Diabetics etc. As in case of Blood Pressure, Medical statistics from
https://www.webmd.com
and
https://www.mayoclinic.org
has shown serious danger that is posed with People suffering all kind of illness especially the blood pressure. To help Blood Pressured Patients, Records, Monitors, track and share their BP medical data with their Medical Expert,
BP Connect
was born.
What it does
It allows BP Patients to record and track their Blood Pressure Data, Get automatic result on their BP conditions. Post, share and discuss their BP status with your Medical Experts on Airtable in real time..
1.)It allows BP Patients to record, track and view her Blood Pressured Data in Realtime.
2.) It automatically analyzed the Patients inputted
BP Systolic and Diastolic Readings
and provides result if
the Patients has
Low BP, High BP, Normal BP, Hypertension
etc.
3.) It allows Patients to add Notes on how She is feeling to her published Blood Pressure data.
4.) It Provides a way for Medical Team to Provides Medical Recommendations to the Patients via comments.
How I built it
With Airtable Technology, I started by calling users data within Airtable Users session and Collaborator SDK to get get their
session userid, names, email, profile pictures etc.
which was used to dynamically update their account within the app. I started importing and calling all Airtable functional SDK like
input, buttons, modal Dialog, Confirmation Dialog, Select API, Icons,
Airtable SDK CreateRecords, Update, Delete function etc. All data are coded to send, update and retrieve data to and from Airtable venerable Realtime Database
Then I visit the two medical site below for research on how to help Blood Pressure Patients record and track their BP data and get Medical recommendation with their Medical Teams in realtime on Airtable.,
https://www.webmd.com/hypertension-high-blood-pressure/guide/diastolic-and-systolic-blood-pressure-know-your-numbers#1
https://www.mayoclinic.org/diseases-conditions/high-blood-pressure/in-depth/blood-pressure/art-20050982
The App was built leveraging various Blood Pressure Categories and their respective BP ranging values for
Systolic and Diastolic Readings.
and a mathematical analysis were coded programmatically with all this values to help the Patients to know when he/she is having
Low BP, High BP, Normal BP, Hypertension etc.
1.)
Low Blood Pressure:
(Systolic = less than 80 ) and (Diastolic = less than 60)
2.)
Normal Blood Pressure:
(Systolic = 80-120 ) and (Diastolic = 60-80)
3.)
Pre-Hypertension:
(Systolic = 120-139) and (Diastolic = 80-89)
4.)
High Blood Pressure Stage 1:
(Systolic = 140-159 ) and (90-99)
5.)
High Blood Pressure Stage 2:
(Systolic = 160 or greater than 160) and (Diastolic = 100 or greater than 100)
Challenges I ran into
Mathematical Analysis to help the Patients ascertain when ascertain if he/she is having blood pressure or not the categories of the Blood Pressure etc.
Accomplishments that I'm proud of
Am proud that I could be of help to Blood Pressured Patients
What I learned
Its good to be focused
What's next for Air Medical
Adding more features to the app going forward..
Built With
airtable | BP Connect | Record and Track Your Blood Pressure Data, Get automatic result on your BP conditions. Post, share and discuss your BP status with your Medical Experts on Airtable in real time. | [] | [] | ['airtable'] | 38 |
9,970 | https://devpost.com/software/assign-easy | Inspiration
With social distancing, students can no longer sit one next to another and it is of utmost importance to make sure they maintain social distancing when attending classes. Therefore, how might we create an airtable block to make it easier for teachers or teaching assistants to assign seats.
What it does
We designed and developed an airtable block to make assigning of seats easy and quick for teachers! Our target audiences are teachers and teaching assistants. Assign Easy lets teachers to assign seats to their students with 6 feet distance and further mark their attendance. This is done by importing the list of students (names and their respective student ID), assigning seat numbers to the students, and finally sending out an email regarding the same.
How I built it
I built it exclusively using Airtable components. This was done to reduce the block’s dependency on more packages.
Challenges I ran into
The RecordCardList does not render if there is no Box component wrapper around it. This took quite some time to debug. It also took me some time to grasp the differences between useRecords and selectRecords.
What I learned
To trust the documentation, test fast and to have some sort of a higher level outline before starting.
What's next for Assign Easy
If given more time, we would want to go beyond the idea of just assigning seats and further make this concept more concrete to work for several businesses such as restaurants, workspace, event management, and so on. We hope you enjoy using our concept as much as we enjoyed making it!
Try it out
github.com | Assign Easy | With social distancing, students can no longer sit one next to another. Assign Easy lets teachers to assign seats to their students. | ['Zack Gilbert', 'Aniruddha Patil', 'Kaustubha Patil', 'Srividya .Krishna Prasad'] | [] | [] | 39 |
Subsets and Splits