hackathon_id int64 1.57k 23.4k | project_link stringlengths 30 96 | full_desc stringlengths 1 547k ⌀ | title stringlengths 1 60 ⌀ | brief_desc stringlengths 1 200 ⌀ | team_members stringlengths 2 870 | prize stringlengths 2 792 | tags stringlengths 2 4.47k | __index_level_0__ int64 0 695 |
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10,299 | https://devpost.com/software/lanyard-greetings | Our motto behind Greetings and Gratitude
Create events page
Card generator page
Router Powerbank
Inspiration
The inspiration for making Greetings and Gratitude came from the theme of this hackathon itself. There are many local communitites that are unheard of but have really great things to offer in terms of learning and hands-on experience which is very important for a beginner. This inspired us to build "Greetings and Gratitude" so that all the awesome communities out there can come forward. Also we wanted to express out gratitude for the community in general that has helped us learn so many great things.Moreover, we wanted to give some kind of service for the community so we also built a hardware hack that allows community people to access internet during the power-cutoff so they can continue their learning process in any circumstances.
What it does
Greetings and Gratitude is a website that provides information about any local community, for example, the events that are hosted by the community etc. The interested attendees can contact the community to gain all the information. It also generates a thank you card with a custom message for the attendees.
Whereas, Router Powerbank is a Hardware Device which allows people to use Internet by powering the router with the device during Power-Cutoff and gives sufficient amount of battery life for about 2 hours and more when connected on Parallel Combination.
How we built it
For the website part, we built it mainly using react and javascript. Whereas on the hardware side, we built the Router powerbank using four 18650 batteries connected on parallel combination which gave around 7V and converted the input voltage into 12V using the power booster Xl900 and connected a male barrel jack so we can connect it with router.
Challenges we ran into
We faced problem during the Card generator part of the site and making image downloadable which was resolved later with the team work and also we have thought to build IOT related stuff with Google Cloud but we couldnot do that as we couldnt get credits due to being on another region and also we didnt had sensor to show real time demos. So, we switched to the Router powerbank immediately.
Accomplishments that we're proud of
We are proud that we together from diverse country built something productive for the benefit of Community. Both our software and hardware project is a prototype that serves and helps Community.
What we learned
We learned about React, some hardware stuffs and more important we realized how different minds together can create a really great project and taught us lot more different things by joining in team and working together.
What's next for Greetings and Gratitude
We have a lot of things planned for our website. We want to bring the local comunities under on umbrella called Greetings and Gratitude where local people will get information about their preferred community meetups in one place. Next we want to implement dynamic event listing on the website. We also want to implement the sign up feature for a user for a personalised experience so that the user can directly add events and meetups from the website to their calendar. Lastly we want to personalise the thank you card with respect to the community events and some more Community service hardware projects like Router Powerbank.
Built With
javascript
react
xl6009
Try it out
greetings-n-gratitude.space
github.com | Greetings and Gratitude. | A website for community which provides information about the events organised by a local community and downloadable thank you cards for the attendees. | ['Naseeb Dangi', 'Harshita Raj', 'chayan chawra'] | ['Best Hardware Hack presented by Digi-Key'] | ['javascript', 'react', 'xl6009'] | 16 |
10,299 | https://devpost.com/software/pose-bot | Our LOGO
Main page
GIF
Teachable Machines Demo
Posture Detection
GIF
EchoAR 3D model
GIF
Echo AR 3D model
GIF
AR Vision for Education
The team
Pose-Bot
Inspiration ⚡
In these difficult times, where everyone is forced to work remotely and with the mode of schools and colleges going digital, students are
spending time on the screen than ever before, it not only affects student but also employees who have to sit for hours in front of the screen. Prolonged exposure to computer screen and sitting in a bad posture can cause severe health problems like postural dysfunction and affect one's eyes. Therefore, we present to you Pose-Bot
What it does 🤖
We created this application to help users maintain a good posture and save from early signs of postural imbalance and protect your vision, this application uses a
image classifier from teachable machines, which is a
Google API
to detect user's posture and notifies the user to correct their posture or move away
from the screen when they may not notice it. It notifies the user when he/she is sitting in a bad position or is too close to the screen.
We first trained the model on the Google API to detect good posture/bad posture and if the user is too close to the screen. Then integrated the model to our application.
We created a notification service so that the user can use any other site and simultaneously get notified if their posture is bad. We have also included
EchoAR models to educate
the children about the harms of sitting in a bad position and importance of healthy eyes 👀.
How We built it 💡
The website UI/UX was designed using Figma and then developed using HTML, CSS and JavaScript.Tensorflow.js was used to detect pose and JavaScript API to send notifications.
We used the Google Tensorflow.js API to train our model to classify user's pose, proximity to screen and if the user is holding a phone.
For training our model we used our own image as the train data and tested it in different settings.
This model is then used to classify the users video feed to assess their pose and detect if they are slouching or if they are too close too screen or are sitting in a generally a bad pose.
If the user sits in a bad posture for a few seconds then the bot sends a notificaiton to the user to correct their posture or move away from the screen.
Challenges we ran into 🧠
Creating a model with good acccuracy in a general setting.
Reverse engineering the Teachable Machine's Web Plugin snippet to aggregate data and then display notification at certain time interval.
Integrating the model into our website.
Embedding EchoAR models to educate the children about the harms to sitting in a bad position and importance of healthy eyes.
Deploying the application.
Accomplishments that we are proud of 😌
We created a completely functional application, which can make a small difference in in our everyday health. We successfully made the applicaition display
system notifications which can be viewed across system even in different apps. We are proud that we could shape our idea into a functioning application which can be used by
any user!
What we learned 🤩
We learned how to integrate Tensorflow.js models into an application. The most exciting part was learning how to train a model on our own data using the Google API.
We also learned how to create a notification service for a application. And the best of all
playing with EchoAR models
to create a functionality which could
actually benefit student and help them understand the severity of the cause.
What's next for Pose-Bot 📈
➡ Creating a chrome extension
So that the user can use the functionality on their web browser.
➡ Improve the pose detection model.
The accuracy of the pose detection model can be increased in the future.
➡ Create more classes to help students more concentrate.
Include more functionality like screen time, and detecting if the user is holding their phone, so we can help users to concentrate.
Help File 💻
Clone the repository to your local directory
git clone https://github.com/cryptus-neoxys/posture.git
npm i -g live-server
Install live server to run it locally
live-server .
Go to project directory and launch the website using live-server
Voilla the site is up and running on your PC.
Ctrl + C to stop the live-server!!
Built With ⚙
HTML
CSS
Javascript
Tensorflow.js
Web Browser API
Google API
EchoAR
Google Poly
Deployed on Vercel
Try it out 👇🏽
🤖
Tensorflow.js Model
🕸
The Website
🖥
The Figma Prototype
3️⃣ Cheers to the team 🥂
Apurva Sharma
Aniket Singh Rawat
Dev Sharma
Built With
css3
echoar
google
google-poly
html5
javascript
teachablemachines
tensorflow.js
Try it out
pose-bot.vercel.app
teachablemachine.withgoogle.com
github.com
www.figma.com | Pose-Bot | A bot which notifies whenever the user is sitting in a bad posture or is too close to the screen. | ['Apurva Sharma', 'Aniket Singh Rawat', 'Dev Sharma'] | ['Second Overall'] | ['css3', 'echoar', 'google', 'google-poly', 'html5', 'javascript', 'teachablemachines', 'tensorflow.js'] | 17 |
10,299 | https://devpost.com/software/youtube-video-downloader | Inspiration I want to learn new things here I made Youtube video downloader GUI
What it does It can download any video of the Youtube
How I built it I built it with the help of tkinter module
Challenges I ran into
Accomplishments that I'm proud of
What I learned Iearn many new things
What's next for Youtube video downloader
Built With
pyth
tkinter
Try it out
github.com
www.instagram.com | Youtube video downloader | Here you cancopy the link and post on the our GUI so you can download the video in 720p quality. | ['sneha gupta'] | [] | ['pyth', 'tkinter'] | 18 |
10,299 | https://devpost.com/software/cn-z0oeks | Inspiration
coming soon
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for comp2
Built With
javascript | comp2 | coming soon | ['fredrick esedo'] | [] | ['javascript'] | 19 |
10,299 | https://devpost.com/software/solarx | App screenshots (Subsidies and Contractors)
App screenshots (Installation cost estimator and Savings)
Inspiration
Renewable energy is the future. It has to be, or else there won’t be a future at all. While most of the world profits off renewable energy in attempts to attain carbon neutrality, a major part of rural India still remains oblivious to the perks bestowed by such alternatives. In a country of open pastures and green plains with up to 2000+ hour of sunshine per year, it is devastating to see most rural dwellers still living off archaic energy sources like forest wood.
What is SolarX?
Our proposed solution- SolarX is a mobile application that enables people in rural India to get on the solar grid for as little time, effort and money as possible.
SolarX uses Augmented Reality and Machine Learning to deliver a platform for users to know solar installation costs and get an estimate on their potential electricity bill savings based on the solar irradiance at their geographical location and their roof area. To help villages get on the solar grid, the app connects users with government-provided subsidies for their region and links them with installation providers.
What gives us an edge over others?
While getting smartphones to our target audience is easy, assuming a stable round-the-clock Internet connection, might not be a wise assumption to make, and hence, all core features of SolarX are available offline, which would work wonders for us considering the fact that for all kinds of mobile users in India, whether in rural or urban areas, young or old, the price elasticity of demand for data usage is quite high, i.e. the amount of data they use is very sensitive to the price they have to pay for it.
Technical Stack
SolarX is delivered as an iOS and iPadOS application built using Swift. Some key first-party libraries used are CoreData, ARKit and CoreML. All processing and data tasks are handled on-device.
Challenges
To remove dependence on third-party providers, we had to implement the mathematical formula for solar irradiance in native Swift code.
Accomplishments
Augmented Reality implementation
Offline Capabilities and Data Privacy features of the application
The elegant UI and UX built in under two hours.
What we learned
Spatial Recognition
CreateML
Perseverance
Market fit
The scope of digital services has significantly expanded in recent years and the ongoing coronavirus pandemic has generated a greater need for digital accessibility. Thereby, having all the services of SolarX available offline would ensure an effective outreach amongst the masses.
The pandemic has also changed the financial status and spending decisions of people around the globe, and it’s a well-known fact, that Indians have the highest instance of saving and investment, therefore providing them with a service that gives an estimate on potential electricity bill savings after rooftop solar installations would be a profitable deal in the long run.
Future Scope
As the immediate next step, we plan on integrating Smart Home device monitoring in the app to allow Urban users to manage their Solar Energy in a better way.
To improve our services for the rural audience, we plan to collaborate with clusters of local suppliers to establish a marketplace for solar installations and services catered to the needs of the user.
The final step in the foreseeable future would be to allow the rural population to generate and share their personal solar reserves with other villagers and monitor the expenses and billing using the app.
Built With
arkit
coreml
createml
final-cut-pro
google-places
sketch
swift
Try it out
github.com | SolarX | SolarX is a mobile application that enables people in rural India to get on the solar grid for as little time, effort and money as possible. | ['Simran Gogia', 'Utkarsh Sharma'] | ['Wolfram Award', 'Best Hack for Sustainability - Explorer', 'Top 20 Hack'] | ['arkit', 'coreml', 'createml', 'final-cut-pro', 'google-places', 'sketch', 'swift'] | 20 |
10,299 | https://devpost.com/software/backpack-cycle-5lws12 | Backpack-Cycle
Inspiration
In our daily life to satisfy our daily needs we have to travel by foot for a longer distance which consumes time and health. On the other hand, it is difficult to carry our locomotive with us easily whenever we don't want it's usage (like when we board into a local bus or train). So I thought of designing a portable cycle.
What it does
It works similar to conventional cycle, with some accelerated speeds (on account of its gear set-up) and the components could be folded and the entire cycle could be transformed to a backpack and can be easily carried away.
How I built it
I built it with the help of the software "SolidWorks 2020".
Challenges I ran into
The main challenge I faced was to design the components that fold, to make sure the compressibility of those components.
Accomplishments that I'm proud of
I'm glad to introduce the first cycle that could be folded in the form of backpack so that it could be easily carried. Also I'm glad that this means of transport not consumes much human power and on the other side also doesn't cause any means of pollution.
Built With
solidworks | Backpack cycle | This is a portable cycle, where the cycle could be folded to a backpack whenever not needed. This brings easy means of transportation to the public. | ['Mohamed Akheel'] | [] | ['solidworks'] | 21 |
10,299 | https://devpost.com/software/h2o-armu85 | Inspiration
Floods are one of the most dangerous and frequent natural disasters in the world.
According to the World Resources Institute, over 80% of India's population, that is, 1.08 billion people, are at risk due to floods. Floods cause an economic loss of nearly 40 billion USD annually worldwide, and 15 billion USD per year in India alone. In the recent Kerala flood tragedy, over 100 people lost their lives, and over 15,000 houses and buildings were swept away in the torrential rains. These kinds of floods happen almost every single year in many prone areas, and cause major damage to life and property. The major cause of this is the overflowing of rivers, reservoirs and other water bodies due to extensive rainfall during the monsoon season.
Furthermore, climate change is increasing the risk of floods worldwide, particularly in coastal and low-lying areas, because of its role in extreme weather events and rising seas. The increase in temperatures that accompanies global warming can contribute to hurricanes that move more slowly and drop more rain, funneling moisture into atmospheric rivers like the ones that led to heavy rains and flooding in California in early 2019. Meanwhile, melting glaciers and other factors are contributing to a rise in sea levels that has created long-term, chronic flooding risks for places ranging from Venice, Italy to the Marshall Islands. As such, the risk and impact of floods is continuing to slope upwards.
I wanted to help solve this problem, so i created H2O, a web application to predict floods and their impact before they even happen. Then, I displayed this information in an interactive graphical format, making the information compelling and easy to understand for people and governments alike.
What it does
H2O is my solution to floods in India. It is a web app that uses advanced machine learning algorithms to predict future floods based on weather forecast data – precipation, wind speed, humidity, temperature, maximum temperature, cloud cover – while allowing users to effectively visualize current and upcoming floods. The app has 4 core components:
Plots
The 3 visualizations on the plots page are bubble plots that display flood predictions, damage predictions, and heavy rainfall predictions across India, taking in factors such as precipation, wind speed, humidity, temperature, cloud cover, as well as previous data history. Plots:
The first plot is our flood prediction plot, which shows our ML powered prediction of where a flood is going to occur, marked by red dots.
The second plot is a precipitation plot, showing the current precipitation data across the nation, with larger bubbles indicating more precipitation.
Lastly, the third plot is a damage analysis plot, which shows the estimated cost and damage for various places in India, based on the flood risk prediction and population size. The size of the bubbles indicate the extent of predicted monetary damage, measured in USD.
Heatmaps
The 3 heatmaps show flood predictions, damage predictions, and heavy rainfall predictions across India, taking in factors such as precipitation, wind speed, humidity, temperature, cloud cover, as well as previous data history. Plots:
The first plot is our damage analysis plot, which shows a cost and damage analysis, with the colorscale of the heatmap indicating the extent of predicted monetary damage, measured in USD.
The second plot is a precipitation plot, showing the current precipitation data across the nation, with the darker red areas indicating a greater volume of precipitation.
Lastly, the third plot is a flood prediction plot, which shows our ML powered prediction of where a flood is most likely to occur given the current environmental factors, marked primarily by the darker red spots on a continuous colorbar.
Satellite Images
Our satellite image analysis displays the volume of precipitation over various cities in India for different months. In order to create this feature, I analyzed netCDF4 formatted data from NASA's Global Precipitation Measurement Project, and produced geo-referenced plots using a combination of libraries, namely numpy, matplotlib, and cartopy. i then displayed our processed images on our web application for users and governments to view.
Predict Page
On our predict page, the user simply enters the name of any city in the world. Our app then automatically fetches the weather forecast data of that city in realtime, runs this data into our Machine Learning model, and gives instantaneous results, which include the flood prediction, the temperature, the maximum temperature, the humidity, the cloud cover, the windspeed, and the precipitation.
How I built it
The dataset
Our goal was to predict floods from weather data using machine learning. For the dataset, I first scraped the website
http://floodlist.com/tag/india
using the python beautiful-soup 4 library. This website provided information about past and current floods India, as well as their date and location. I then used the Visual Crossing weather API to obtain historic weather data such as precipitation, humidity, temperature, cloud cover, and windspeed in those areas and during those times. I also performed several data augmentation techniques on this data set, which enabled me to significantly increase the diversity of data available for our training model, without actually collecting new data.
ML model
machine learning model is based on the python sci-kit learn library. I used pandas to generate a data-frame for the dataset, and then tried various machine learning models from Logistic Regression to K-Nearest Neighbors to Random Forest Classification. After experimenting heavily with all of these models, the Random Forest Classifier gave the highest accuracy of 98.71% on the test set. I proceeded to save our model in a pickle file.
Data Visualization
I first obtained a dataset of the major cities and towns in India (around 200 of them) along with their latitude, longitude and population. I then obtained the numerous weather factors in each city using the weather API and ran the data into our machine learning model. Next, I plotted the data from the model on various different types of maps, using Plotly chart studio. The maps represent various data such as flood prediction, precipitation analysis, and damage estimates, in the form of scatter plots, heat-maps, and bubble plots. The damage estimates were calculated based on flood prediction and population. I also produced geo-referenced satellite images for various cities in India, based on retrieved data from NASA's Global Precipitation Measurement project.
Front-end and hosting
Our web app is based on the Flask python framework. I rendered HTML templates – with CSS for styling and Javascript for added functionality – and integrated it with our machine learning models and datasets via the flask back-end. I then used Heroku's hosting service to host our web application for everyone to try!
Challenges I ran into
biggest challenge was in mining and collecting data to build our models and data visualizations. Given the extremely limited existing data available for floods and water related factors in India, scraping quality data was a challenge. I used a combination of weather API's and scraping techniques to create and compile an accurate and effective dataset. I also struggled with integrating the plots with our web app application, being our first time working with Plotly. Lastly, I faced a lot of git merge conflict issues due to different encodings of csv files and pickle versions across different computer platforms.
Accomplishments that I'm proud of
I m extremely proud of compiling and creating a dataset that can accurately and effectively reflect the current situation of floods in India, as well as allowed me to make future predictions. I am also proud to have expanded my machine learning skills by testing out new models, and ultimately implementing a model with over 98% accuracy. Lastly, I am proud to have integrated various data augmentation, data mining, and date manipulation techniques, together with our model, to create detailed and sophisticated, yet compelling and easy to understand plots for data visualization.
Built With
api
css
flask
html5
machine-learning
python
Try it out
github.com | H2O | Too much water | ['C kavya Shree'] | ['Environment - 2nd Place'] | ['api', 'css', 'flask', 'html5', 'machine-learning', 'python'] | 22 |
10,299 | https://devpost.com/software/firesense-zn4m1l | FireSense Mechanism
Plug-in USB Logitech Webcam
Plastic Dome used for testing
FireSense in Action
Image used in testing the image processing server
Image at 36 degrees captured by FireSense when no/little orange is detected (from the test dome)
Taken at the same angle but from a different scan - Image captured by FireSense when increased orange is detected (from the test dome)
Same angle, different scan - Image captured by FireSense when even more orange is detected (from the test dome)
Real-world image being analyzed
A display of the data saved to Firestore
Data being displayed to the interface
What inspired us
We were inspired to take action after seeing the raging wildfires in California. Although the pain and devastation it has caused many communities and individuals cannot be undone, they can be prevented from happening again. FireSense works towards early detection and early prevention of fires. We are confident in FireSense's abilities to open the door towards tackling this issue and eliminating it once and for all
What FireSense does
The FireSense mechanism revolves around 18 degrees at a time, captures images, and sends it to a server to process it. The server calculates the percentage of orange, as outlined in the video and the
README.md
s on the GitHub. It is then uploaded to Firebase Firestore & EazyML. There is a node.js express server running on glitch which fetches the data from Firestore. Then, whenever someone visits the data page of the website, this data is presented to them.
How we built it
We built it using 2 Flask Servers, one that handles routing for the website, and one that handles the server that processes the image. The endpoint that gets the data from Firestore is a node.js express server, hosted on Glitch. The camera is a Raspberry Pi that runs a python script. It uploads pictures taken by the FireSense (which continuously rotates, takes images, and sends them to the server) to the image processing server using POST requests.
Challenges we ran into
We had difficulty deciding how to implement the EazyML API, but in the end, we decided to include it in the image processing server. The data is saved as a CSV and uploaded/updated on EazyML (dataset id is "catches", same as the root collection used in Firestore)
Accomplishments that we're proud of
We are proud of the structure that we built for the camera, and the servers we built using python. These things were relatively new, and they were the hardest to accomplish out of all the components.
What we learned
We learned how to use Flask to make a web server using Python. We also learned how to set up a Raspberry Pi and construct a wooden base structure.
What's next for FireSense
In the near future, we look to make a larger scale prototype that can be implemented in the real world. Also, we look to add multiple cameras, speed up the entire process, and actually contact organizations and officials that would like to implement FireSense to tackle this issue. FireSense already has support for multiple cameras, all using the server at the same time. This was accomplished by adding multithreading, to have minimal delay for each camera (1 thread per camera who sends requests), and an extra camera parameter that tells which camera sent it. The camera parameter is already displayed on the website (they're all 0 because there was only 1 camera used in testing). Additionally, if this is used, it is easy to add security.
Built With
cors
eazyml
express.js
firebase
firestore
flask
glitch.me
helmet
heroku.com
node.js
python
raspberry-pi
repl.it
web
Try it out
github.com
firesensehackathon.herokuapp.com
firesense.glitch.me
firesense-server.ap001.repl.co | FireSense | Aimed at early detection and prevention for fires, FireSense is a Raspberry Pi powered mechanism that revolves, captures images, sends them to a server for color analysis and uploads to our interface! | ['Anish Pallati', 'Arjun Tschand', 'Sharabh Ojha', 'Nikhil Osuri'] | ['Third Place', 'Honourable Mention'] | ['cors', 'eazyml', 'express.js', 'firebase', 'firestore', 'flask', 'glitch.me', 'helmet', 'heroku.com', 'node.js', 'python', 'raspberry-pi', 'repl.it', 'web'] | 23 |
10,299 | https://devpost.com/software/free-food-locator-project | Inspiration ⭐🌟✨
Many events on college campuses have food, but it goes to waste. We wanted to reduce the food waste and help food insecurity at the same time. In order to achieve this, we created a mobile app, desktop app and a website where people can see nearby events with free food and save money.
What it does ⭐🌟
People can use the app to see user-verified posts about nearby events with free food 🍔🧅🥞 and also post details about events with free food 🍗. People can comment on them and upvote/downvote the posts. The more upvote you get, the higher you get in the notifications list. The more posts you have, the higher you get in the notifications list. That way, the next time there is an event nearby with free food, you are the first to be notified.
How I built it ✨✨
I used React for front end, GraphQL for back end, NoSql MongoDB for data storage, and Heroku/Netlify for deployment. The backend is deployed to Heroku and the front end is deployed to Netlify. The reason we decoupled the deployment for both is to achieve a landscape based on microservices.
Challenges I ran into ⭐🔥
The biggest challenge was to create a global notifications list for the users. Second was the map! GraphQL was a challenge too, because we had no idea how to use it before. Lots of Googling!
Accomplishments that I'm proud of 🌟🚀
We are proud that we can say we have an app that can run on mobile desktop and browser.
What I learned 👓🌟
We learned how starvation and urge to save money can lead someone to solutions like this app :)
What's next for Free Food Hunter
We want to clean up the source code and add new features. It is so messy right now. 😀
Built With
express.js
graphql
mongodb
node.js
react
Try it out
freefoodbook.netlify.com | Free Food Locator Project | Free Food Locator reduces the food waste and helps fight food insecurity at the same time. Users can see nearby events with free food to save money on food for FREE. | ['Yigit Alparslan', 'Ken Alparslan'] | [] | ['express.js', 'graphql', 'mongodb', 'node.js', 'react'] | 24 |
10,299 | https://devpost.com/software/free-food-hunter-2ps3i9 | Free Food Locator
Inspiration
This app is a by-product of my love for free food. I am not good with cooking. I also love free food. On campus it is really hard to find events with free food, even though there are tons of them. So, I decided to develop an app that would help people like me who are broke and wants to get free food.
What it does
You can post details about events with free food. People can comment on them and upvote/downvote the posts. The more upvote you get, the higher your post appear. Also, if you are the post owner, collecting more upvotes means you will be the time first to be notified when there is a food nearby.
How I built it
I used React for front end, GraphQL for back end, MongoDB for data storage, and Heroku/Netlify for deployment.
Challenges I ran into
Everything! Everything was a challenge,because I had no idea to use them before. Lots of Googling!
Accomplishments that I'm proud of
I am proud that I can say I have an app.
What I learned
I learned how starvation can lead someone to desperate solutions like this app :)
What's next for Free Food Hunter
I want to clean up the source code and add new features. It is so messy right now.
Built With
graphql
mongodb
react
Try it out
freefoodbook.netlify.com | Free Food Locator | Free Food Locator helps colleges reduce food waste and help students save money on food for FREE. | ['Yigit Alparslan', 'Ken Alparslan'] | [] | ['graphql', 'mongodb', 'react'] | 25 |
10,299 | https://devpost.com/software/groc4all-v1 | Inspiration
The entire world is going through a hard time during this covid pandemic but the segment of society worst affected is the older generation. Prone to highest level of infection, they aren’t able to move out of their homes for stocking regular supplies coupled with lack of reaching out to them by their close ones due to frequent regional lock downs. Hence, our application aims at extending a humanitarian support towards the elderly people helping them order necessities very easily without having prior knowledge or expertise. Besides helping the older generation, our application supports the local vendors and unites them in this critical situation.
What it does
Ø A fully functional multi vendor ecommerce website having a Customer and User interface interacting in Real Time. Ø State of the Art Face Recognition Authentication module for easy access of elderly generation Ø A high end chatbot, embedded with speech to text recognition feature, to place quick orders without navigating throughout the catalogue, making it easy for everyone without any knowledge to flexibly use the application. Ø The chatbot enables users to add or remove quantities on the fly and directly add to cart and process payment. Ø It gives a chance or platform for local vendors to expand their reach, as they are the main focus, as customers are mapped to vendors by geolocation proximity. ØCustomer reviews used to train NLP algorithms in order to refine the product ratings, enhancing the recommendation system incorporated ØAnother add-on is the COVID predictor by using various ML hybrid algorithms, predicting whether the user may have covid-19. ØApart from this it also gives some daily updates of the pandemic situation in the world and in India on a real time basis. ØA genetic algorithm which incorporates the product ratings, price and the minimum distance between customer and vendor via geo location algorithm, to rank different vendors, hence increasing competition and quality.
How we built it
We $TROUBLESHOOTERS$ aim to simplify the process of delivery and ordering system packed in a single application. Mostly the ongoing trend is few prominent sellers are given the chance to sell online. But this application wraps it up all. Made in Django and powered by superior quality design, to intrigue users. The front-end is mainly made on full bootstrap and night owl CDN, providing state of the art UI. We have tried to keep the UI/UX transitions as much smooth and user friendly as possible. We decided to use Django as the core of our application as it is powered by Python. All the work is done on the very latest Django version and Python 3.7.3 . Python enabled us to use all the machine learning and recommendation technology to it's full potential. The Django model gives us a total boost by letting us easily override the BASE USER model. Thus, we developed a multi user framework, one for normal customer and another for sellers. It is a state of the art application, as no other Multi Vendor Grocery Delivery Shop at this hard turmoil the country is facing. The Customer section of the application is bestowed with multiple facilities Firstly each item is categorized under a broad category of the title .If multiple sellers are selling the same product, then the customer is redirected to a new page where all the sellers are displayed selling that particular product.
Challenges we ran into
A few modules like using Watson cloud speech-to-text i.e IBM watson were really complicated and a few installations of libraries was difficult.
Accomplishments that we're proud of
We built a proper face recognition module which on opening the application starts up, as, is the motivation of our project is helping the older population of this world with technology, this module helps them as they do not need to remember their login credentials, just like this we have developed many features that really help the older generation. So, we are really proud, as this application, if it comes into the market, will really make a difference to the world that we live in and will make it an easier place to live for the older people in this world.
What we learned
We learnt a lot in this project not just technical stuff, we learnt so many thing like working in a team etc. Apart from these technically also we learnt many things like using the geo-location and making the seller side of an ecommerce application etc
What's next for Groc4all
GROC4All is an innovative initiative to combat the global pandemic situation the world is suffering from. Designed specially for the elderly people, we wish to incorporate local languages to our product and expand our products to several more local groceries à for better user experience and wider reach out. More NLP based models should be included. Moreover, a diet chart automated delivery algorithm is in the making. It takes in the personal characteristics of an individual, all allergies and like as well as dislikes. Thus it will daily generate the personal diet of the individual and deliver the needful commodities on their doorstep.
Built With
django
dl
ibm-watson
ml
python
Try it out
github.com
groc4-all.herokuapp.com | Groc4all#v1 | The entire world is going through a hard time during this covid pandemic but the segment of society worst affected is the older generation. | ['Jayit Saha', 'Ishita Dasgupta'] | [] | ['django', 'dl', 'ibm-watson', 'ml', 'python'] | 26 |
10,299 | https://devpost.com/software/farmtopia | Login page
Register page
Home
Profile
Settings
Inbox
About Farmtopia
One person alone cannot tackle these big environmental issues, but if united, people learn from each other's expertise to come up with a solution. That's what Farmtopia is about: uniting people, Farmers, and Experts all around the US, giving them a platform to share their experiences, feelings, harship, pieces of advice, etc. Conversations among users can help them cope with loneliness, natural disasters, financial downfalls, and so on.
More than a social media site, it's a mean for farmers to expand their communities beyond their farms.
Inspiration
We were inspired by Philly Codefest 2020's theme of the Environment. As we all can see, the environmental issues we're facing are increasing, and they have heavy impacts on our life. We entered this hackathon wanting to contribute our efforts to combat current problems as well as improve our skills as junior developers.
We decided to tackle agricultural issues, specifically agricultural runoff. Though after our research, we haven't found an ultimate solution to runoff, we realize that solving this requires great team efforts, and currently, there seems to be a lack of connection and leadership among farmers and environmental scientists. Therefore, we decided to create a platform for farmers and experts to connect and, together, create plans to solve agriculture runoff as well as other agricultural problems. And that's how we come up with Farmtopia.
Building Farmtopia
We spent the first couple of weeks brainstorming ideas, and once we had it, we tried to define the basic features of Farmtopia. Once that was done, we created a GitHub repo, and use the Jira Kanban board to track people's progress. Besides, we had a weekly meeting on Sunday to discuss what each of us had done the week before. We built the application as we learned new technologies.
Challenges and What we've learnt
It was a challenge for us to being on progress as some of us are working (co-op), and the others are taking classes, which are equally as intense. There were weeks we were on the plateau, and we barely made any progress. However, we just reminded ourselves that we joined this hackathon to look for learning opportunities. Indeed, as we built this application, we not only polish our dev skills (understanding Flutter, Firebase, NodeJS, etc) but also our time management and teamwork.
Built With
dart
flutter
kotlin
mongodb
node.js
objective-c
swift
Try it out
github.com | Farmtopia | A spicy social media site for farmers. | ['Chi Nguyen', 'Ryan McShane', 'Fawzia Khan', 'Isamu Isozaki'] | [] | ['dart', 'flutter', 'kotlin', 'mongodb', 'node.js', 'objective-c', 'swift'] | 27 |
10,301 | https://devpost.com/software/payid-validator | Inspiration
As PayID launched and I started to build an AWS Lambda function to return my address data, I quickly realized all of the needed pieces were not super obvious to be compliant. After creating the first version of my Lambda function, I changed course to start building
payidvalidator.com
.
What it does
The service asks the user/dev to enter the PayID address and choose which payment network to make a request of. Once the user submits the form, it attempts to make the request and then validates the response across several rules.
Checks performed:
HTTP Status Code
CORS Headers
Access-Control-Allow-Origin
Access-Control-Allow-Methods
Access-Control-Allow-Headers
Access-Control-Expose-Headers
Content-Type header check
Cache-Control header check
Response Time
JSON Schema Validation of the response body
Validation of Address to Content-Type header
Cross-check that each crypto address returned is valid on the given network/environment.
Check for valid signatures when a response contains a verifiedAddresses property. (Disclaimer, this work was completed by
nhartner
.)
How I built it
Tech used:
AWS
CloudFormation
VPC
Certifcate Manager
EC2
CloudFront
S3
SecretsManager
ParameterStore
Route53
CodeBuild
CodeDeploy
CodePipeline
Apache
PHP 7.1+
CURL
JSON schema validation
Challenges I ran into
In the process of building this, I learned how to write/define JSON schema files. I also have never built a true end-to-end continuous deployment pipeline. The pipeline was achieved by using AWS CodeBuild, AWS CodeDeploy and AWS CodePipeline. With any commit to the master branch, a build is kicked off and flows through the pipeline and is automatically released to the site.
What's next for PayID Validator
I am working on adding more checks to push the threshold for PayID server responses higher.
Open Source
This project is open source and welcomes community contributions.
https://github.com/rswarthout/payid-validator
Built With
amazon-web-services
apache
css
curl
json
json-schema
php
tailwind-css
Try it out
payidvalidator.com | PayID Validator | Are you confident that you are returning valid responses? Do all of your response headers include the needed values or the proper JSON schema? Well, payidvalidator.com helps perform these checks. | ['Robert Swarthout'] | ['Grand Prize'] | ['amazon-web-services', 'apache', 'css', 'curl', 'json', 'json-schema', 'php', 'tailwind-css'] | 0 |
10,301 | https://devpost.com/software/0games | 0Games
Homepage
Marketplace
Sellers list
Game purchased
Transaction confirmed
Project is live on
0Games.io
What it does
0Games is a project I always wanted to create but never had the occasion to do so. Thanks to the PayId hackathon, I have been able to develop that idea over the past few weeks. 0Games is a peer-to-peer game keys marketplace with 0% fee. Game key marketplaces like G2A.com or Gamivo.com take a huge fee (up to 30%) from users selling their game keys, in addition to regular transaction fees such as Paypal (5%) or Credit Cards (3%). Using XRP, the transaction fee is close to null, and the marketplace itself takes 0% fee (Remuneration will later be implemented by using ads, featured games promotion or additional side services, but the selling fee will always be 0%) making the price of game keys very attractive to potential buyers.
How I built it
I built the project using React in the frontend and Node for the backend, both in Typescript. Each user that registers on the website has a XRP testnet address automatically created for him with 1,000 XRP assigned to it for test purposes. A corresponding PayID address is also created on
wallet.0games.io
e.g. a user registering with the username "HellWorld" would automatically get the PayID helloworld$wallet.0games.io linked to his XRP address.
The PayID is then used to buy and sell cd keys between users.
When you click on a game image, you can see the list of sellers and their corresponding PayID. When clicking "Buy with PayID", the backend will use the Xpring SDK to fetch the XRP address corresponding to the seller PayID and trigger the transaction from the buyer to the seller. If the transaction successful, the marketplace then displays your purchased game key. You can use this key to activate and download your game on Steam. Additionally, the platform shows the transaction hash with a link to xrpl.org to verify the transaction.
What's next for 0Games
0Games can only be used with the XRP testnet for now as it still need a lot of work to be production-ready and be fully secured. I will also need to develop additional features like rating sellers, posting reviews, etc... My goal is to continue to develop it and go live on the XRP main net by the end of the year.
Built With
node.js
payid
react
ripple
typescript
Try it out
0games.io
github.com | 0Games | The peer-to-peer 0% fee video games crypto-marketplace | [] | ['Second Place'] | ['node.js', 'payid', 'react', 'ripple', 'typescript'] | 1 |
10,301 | https://devpost.com/software/temp-project-name-duso2p | Landing
Bank Connection
Plaid Connection
Account Selection
Query payId
Select Amount
Success
Inspiration
It's quite hard, expensive, and slow to pay overseas developers.
What it does
Unisend allows you to send money to anywhere in the world for basically free via an XRP payment rails and PayId. This is done by using Dwolla and Plaid to withdraw money from the sender's bank via ACH. Those funds are deposited into an exchange. The USD is immediately exchanged for XRP. The XRP tokens to the recipient's exchange address which is on their PayId. The tokens are immediately sold once the webhook is triggered. From there, the funds are send to the recipients bank account.
How we built it
We used React for the frontend and Express NodeJS for the backend. We utilized numerous APIs including Plaid and Dwolla. These two APIs allow us to withdraw funds from a user's US bank account via ACH. We also used the Indian banking API to handle their ACH equivalent.
Challenges we ran into
Setting up Dwolla and making it function with Plaid.
Built With
antdesign
dwolla
express.js
node.js
payid
plaid
react
ripple
Try it out
unisend1.rootpayments.com | Unisend - Send money internationally for free | You only need the recipient's PayID. Send your United States Dollar(USD) to a Indian Rupees(IRP) bank account. At a low cost transaction using Ledger XRP. | ['Dhruv G', 'Scott Finney', 'Aaron Anderson'] | ['Third Place'] | ['antdesign', 'dwolla', 'express.js', 'node.js', 'payid', 'plaid', 'react', 'ripple'] | 2 |
10,301 | https://devpost.com/software/instapay | PayID server
Home Page
Add contacts to profile easily. Send / Request payments
Authentication - Sign in / Sign up pages
PayID creation on user signup
Make a new payment using PayID or QR code
QR code generator/ scanner which makes it easy to scan and pay
Businesses, subscriptions and charities
Request payment / raise invoice form
User profile / Transaction history
Live exchange rates for payments
Inspiration
I wanted to build an application that will consolidate all types of payments - like personal, business, subscriptions, charity etc in a single location. Using PayID made these payments realtime and instant. Also wanted a easy way to keep track of transactions
What it does
This is a single place to handle all types of payments we handle in everyday life
Send/Receive money to/from friends and family
Send invoices and request payments from business (for freelancers)
Scan and pay using QR codes
Manage all subscriptions and recurring payments
Create new contacts using just their PayID
Manage business payments
Search , explore and donate to charities easily
It also calculates exchange rate using various APIs
This app generates PayID using 'Insta-pay.me' domain - eg: demo$insta-pay.me
User profile picture fetched using gravatar
Insta pay works on both mobile and web browsers. Mobile compatibility ensures easy QR scanning
This application is full authenticated. New users can sign up and existing users can login and perform all transactions.
How I built it
The payID server is hosted on Amazon EC2 server using docker images
Insta Pay application is built using Ruby on Rails and is hosted on heroku
Tech Stack
AWS EC2
Docker
Heroku
Node.js
Ruby on Rails
PayID
Xspring SDK
-XRP Test ledger
Cryptoconvert API
QR code scanner / generator
Demo credentials
demo@demo.com
/password
Challenges faced
Understanding PayID protocol and Xspring was initially difficult. But I later got comfortable with it, and wrote my own Ruby API client for PayID as well.
Achievements I'm proud of
I have added the option to search and donate to charities. This solves the problem of discovery and micro-donations and can help charity organisations
What's next for instapay
I want to integerate other payment methods available for PayID.
Built With
amazon-ec2
amazon-web-services
cryptocompare
cryptocurrency
gravatar
heroku
node.js
payid
qrcode
ripple
ruby-on-rails
Try it out
www.insta-pay.me
github.com | Instapay - The easiest payments app for all transactions | The fastest payment app for all financial transactions using PayID. Pay/Request money from friends & business, Manage subscriptions, search/donate to charities. Keep record of all transactions | ['Jayshree Anandakumar'] | ['Honorable Mention'] | ['amazon-ec2', 'amazon-web-services', 'cryptocompare', 'cryptocurrency', 'gravatar', 'heroku', 'node.js', 'payid', 'qrcode', 'ripple', 'ruby-on-rails'] | 3 |
10,301 | https://devpost.com/software/xnd | Login with GitHub to create a new PayID
Select the currency for wallet creation
Create a new Ethereum wallet
Unlock an XRP wallet linked to your PayID
Transfer XRP to a PayID linked to an ETH address
Project is live at
xnd.money
The project is live at xnd.money. On Google Chrome, you need to disable Content Security Policy in order to use XND (see README on GitHub).
Inspiration
What if you could send XRP to an Ethereum address? This is one of those questions every newbie asks when they are first exposed to the world of cryptocurrencies.
PayID provides the abstraction to represent complex addresses with human-friendly names, which is just what we needed to solve the above problem. Our end goal was to allow users to send some cryptocurrency to a PayID and receive something else on the other side.
What it does
XND is a cryptocurrency wallet with native integration of PayID, but it takes the idea of abstracting addresses to a whole new level.
Each PayID on XND is uniquely associated with an address. When a user transfers some cryptocurrency, XND will automatically exchange the amount into the currency of the address linked to the destination PayID. From a user's perspective, this happens without them ever knowing that a cross-chain transaction took place behind the scenes.
XND is non-custodial, so users are always in control of their private keys.
How we built it
The heart of XND is a swap engine that manages a liquidity pool of several cryptocurrencies. For this hackathon, we only support XRP and ETH. It is also fairly easy to plug in third-party swap services, although we rolled out our own to have better control.
We also implemented our own Python SDK for PayID, and an OAuth server to authenticate using GitHub.
All the above functionality is exposed via a Flask API in Python and hosted on Heroku.
The XND wallet frontend has been built using React/Redux and uses ripple-lib and web3 for various wallet functionalities. The look-and-feel of the frontend is inspired heavily from PayID's website.
Challenges we ran into
We were stuck for a long time getting transactions to work using xpring-js, so we finally switched to the ripple-lib Javascript library.
Getting the end-to-end cross-chain swap to work was also a huge challenge, but we finally managed to solve it.
Accomplishments that we're proud of
We were able to come up with a working demo for an original concept. We're also very proud of the swap engine, notably the counter-value SDK which has a very neat and Pythonic API.
What we learned
We learned a lot about building client-side non-custodial wallets. Using web3 and ripple's libraries for signing and submitting transactions was also new for us.
What's next for XND
Better resilience against intermittent failures.
Improving the performance of our atomic swap engine.
Admin dashboard to monitor the liquidity of the swap engine.
Allow plugging in third-party swap services such as Changelly, Shapeshift, and Coinswitch.
More wallet features like displaying transactions, real-time updates, etc.
Built With
flask
javascript
python
react
ripple
web3
Try it out
xnd.money
github.com | XND | XND is a non-custodial wallet that can perform cross-chain transfers directly to a PayID. | ['Anirudha Bose', 'Aditya Bose'] | ['Honorable Mention'] | ['flask', 'javascript', 'python', 'react', 'ripple', 'web3'] | 4 |
10,301 | https://devpost.com/software/briskid | The better way to share your payment account details.
Inspiration
We believe that everyone should have easy access to emerging technologies, no matter their geographic location or financial status.
We are especially passionate about making Pay ID accessible to the underbanked as well as the unbanked.
What it does
Brisk ID allows anyone with an SMS enabled mobile phone to easily and securely create and manage a Pay ID.
How we built it
We built a multi-tier application that is hosted in a multi-server environment. The following key technologies were used to develop Brisk ID:
Twilio API
Pay ID API
AWS
Microsoft .NET
Based on our vision, we acknowledged the following:
Not everyone has access to the internet
Currently there are 4.8 billion mobile phones in the world, of that number only 3.5 billion are smartphone users
All mobile phones are SMS enabled
Most people have access to a SMS enabled mobile phone
Taking this into consideration, we decided to implement a simple flow that allows a user to easily send SMS messages to create and manage their Pay ID seamlessly. Our implementation abstracts the Pay ID server from any interaction with the Twilio API. This is done with the use of two(2) servers that have the following responsibilities:
Server 1
This server has two(2) key functions:
Handle all communication with Twilio
Interact with our Pay ID Admin API's
Server 2
Is used to host our Pay ID server
Brisk ID High Level Implementation Overview
Challenges we ran into
The main challenge we ran into was articulating the flow in such a way that would be very easy for our users. Unlike other applications that offer the user a visual interface, we focused on how we could create a user experience that felt natural and intuitive to the user's needs while allowing the user to create and manage their Pay ID in a seamless manner via SMS messages.
Accomplishments that we are proud of
We were able to take a user-first approach to design a simple and easy to understand system
What we learned
We discovered that making something simple to use is not so simple after all :)
What's next for Brisk ID
Brisk ID intends to highlight the need to make Pay ID globally accessible. With this in mind, we envision partnering with other fin-techs to promote Brisk ID to the underbanked and unbanked.
We believe that with the right partnerships, we will be able to continue to evolve Brisk ID to the point where our users can send, receive, and store value in a simple but secure way regardless of their accessibility to a smartphone or mobile data.
Built With
.net
amazon-web-services
cloudflare
linux
payid
sql
twilio
Try it out
swift.brisk.id | Brisk ID | Brisk ID allows anyone with a mobile phone to easily create and manage a Pay ID via SMS. | ['Leighton Scarlett', 'kenny edmond', 'Philip Ragan'] | ['Honorable Mention'] | ['.net', 'amazon-web-services', 'cloudflare', 'linux', 'payid', 'sql', 'twilio'] | 5 |
10,301 | https://devpost.com/software/u-pay | My personal upay.page on mobile
Landing Page
My personal upay.page
Editing my personal upay.page
Inspiration
During the Covid19 lockdown, my wife couldn’t go to a gym anymore so she started going to online classes with a fitness coach who lives in a different country. And paying for her services was a big challenge. It’s slow, expensive, and hard for non-tech-savvy people.
That’s how the idea of a simple page when anyone who provides online services could easily set up using their existing social media account, get an XRP wallet created for them automatically, and start receiving payments by sharing a link to their page or PayID was born.
Since online education is a booming industry and paying for classes cross-border is going to be a problem for more and more people I believe this idea has huge potential.
What it does
In short, it makes getting paid for your online services easily. In more detail:
Creates a personal payment page with a short URL that looks like
https://upay.page/konstantin
and a PayID with the same username konstantin$upay.page.
Generates an XRP wallet for you automatically and connects it to your new page and PayID.
Let’s customize your public page, connect more crypto or bank accounts, and add services you provide. Think ridiculously easy to set up LinkedIn plus Shopify for your online services.
You can share your upay.page/konstantin link with anyone and they can pay you easily within the page or by using your PayID.
When someone pays you it automatically converts dollar amount in XRP and redirects a payer to XUMM wallet app.
It also shows all your connected accounts on your public page so a payer can just copy an address that works best for them in case they use a wallet that doesn’t support PayID.
How I built it
There are three main parts I’ve built.
PayID server that serves upay.page/konstantin requests made by wallets resolving PayID addresses like konstantin$upay.page. I’ve studied PayID server implementation published on [payid.org] to implement this part.
Web App that I’ve built with Next.js. It serves web requests to upay.page/konstantin URLs and the landing page. And I’m using MySQL database to store users’ data.
Nodejs API server that delivers the data to the Web App and handles XUMM integration.
Challenges I ran into
The biggest challenge was figuring out how to make a product for people who aren’t tech-savvy and are scared of crypto because it looks unfamiliar and complicated. And also making sure they are guided every step of the way.
From setting up a page in one click using their existing Google account, to automatically generating an XRP wallet for them and letting them add the services they can charge for by easily sharing a link to their page or a short and human-friendly PayID.
On the technical side, serving different types of responses on the same URL was something new to me. For instance, when a wallet tries to resolve a PayID it makes a request to upay.page/konstantin and the server returns a JSON payload. But when a user opens the same URL in their desktop or mobile browser it returns a web page.
Accomplishments that I'm proud of
I’m proud of how easy to use and how human friendly the product turned out to be. It has a simple UI that makes setting up a personal storefront for your online services a breeze.
And it makes working with crypto from setting up an account to sharing it and receiving payments in your currency a pleasant and frictionless experience. Making it that easy was the hardest part.
I’m also proud to play a role in bringing decentralized finance to the masses.
What I learned
I’ve learned a lot about how PayID works and I think it has great potential. I realized that I want to help bring that day when money moves like email closer to reality.
I’ve also learned more about XUMM Wallet API for requesting payments. It really simplifies payments.
What's next for upay
I plan to launch a public beta version to see people including my wife’s fitness coach start using it to reduce payment friction. And to integrate upay with different wallet providers and add fiat on-ramp and off-ramps to reduce payment friction even more. I also can’t wait when upay customers could utilize ODL to instantly transfer value using their native currencies.
Built With
mysql
nextjs
node.js
payid
ripple
typescript
xumm
Try it out
upay.page | upay. | Get paid for your online services by anyone anywhere in the world | ['Konstantin S'] | ['Honorable Mention'] | ['mysql', 'nextjs', 'node.js', 'payid', 'ripple', 'typescript', 'xumm'] | 6 |
10,301 | https://devpost.com/software/ripay | Banner
Avatar
Phone
Telegram
Inspiration
What if we could send money worldwide in our favorite messaging apps used by more than a billion people? Something as easy as typing Pay 10 to George?
What it does
That's exactly what Ripay does. Powered by the Ripple network and the XRP Ledger it allows you to send money around the world in seconds with nothing more than a simple message like Pay 10 to George, and now thanks to the PayId protocol you can send payments to external users without knowing their Ripple address, just Pay 10 to george$ripay.me and the money moves like a message in just a second.
How I built it
I built Ripay in NodeJS with the APIs provided by Ripple like Xpring-JS implementing the PayID protocol from payid.org plus all the public SDKs available for each messaging platform like Telegram, Discord, Matrix and Slack (Twitter and Whatsapp in development)
Challenges I ran into
Developing different chatbots for every messaging platform took a lot of thought on standardizing the message flow, processing and responses. Some were harder than others due to the features their platforms implement and their onboarding process is in some cases harder to complete.
Accomplishments that I'm proud of
Inter-app messaging is a first in payment solutions and we're proud of having accomplished that so more platforms can be implemented in the future. Also, multilingual chatbots are hard to implement and we managed to add English and Spanish to all bots with more languages to come.
What I learned
Payment chatbots are very appealing since messaging apps are everywhere and being able to intercommunicate among apps is breaking ground for payment solutions. Moving money like a message is indeed easy for all with Ripay.
What's next for Ripay
More messaging platforms including Whatsapp, Twitter, Facebook, Signal, Keybase, Kik, to grow the user base into the billions. Allowing deposits using credit/debit cards and withdrawals to bank accounts is in the roadmap too. Multiple Ripple assets like cryptocoins and world currencies with exchange rates and trading on the spot.
Private repo:
Ripay has a private repo at
https://github.com/kuyawa/ripay/
contactxpring@ripple.com
has been granted access to the repo
Testing instructions:
Upon registration two accounts are created, one for mainnet with zero balance and one for testnet with 1000 XRP in balance. In order to test Ripay all you have to do is type
test pay 10 to george
prepending
test
to the action, also for checking history type
test history
. All requests go to mainnet unless specified.
Built With
heroku
node.js
payid
postgresql
ripple
Try it out
ripay.me
github.com | Ripay - Ripple payments | Ripay allows you to send XRP to more than a billion people in your favorite messaging apps like Telegram, Discord, Matrix, Slack using PayID as simple as Pay 10 to alice$ripay.me | ['Kuyawa Kata'] | ['Honorable Mention'] | ['heroku', 'node.js', 'payid', 'postgresql', 'ripple'] | 7 |
10,301 | https://devpost.com/software/xpayments-me | Home Page
Home Page - Continued
Page Creation Form
Creation Success
Payment Page
Inspiration
Having previously built
CoinDrop
, I had always understood the necessity of having a central payment gateway to consolidate multiple cryptocurrency addresses. I believe that having a single portal to direct cryptocurrency payments will help enable adoption and usage of cryptocurrency as a form of payment.
PayID exposes an API that does exactly that. For this project, we decided to merge the idea of CoinDrop with PayID, creating xPayments - a central, all-in-one gateway for receiving cryptocurrency and fiat payments.
What it does
xPayments allows users to create their own unique payment page - whether it be an invoice for a specific task or a generic donations page for content creators. To create a page, simply enter a PayID and some optional metadata (such as name, a custom message, or a requested amount). A unique payment page is then generated for easy invoicing and sharing.
Payees can then visit the payment page - we then display all the payment accounts associated with the PayID. We make it easy to send a payment by making addresses easily copyable and by generating QR codes. Alternatively, Payees can send the payment directly using the PayID if they have a PayID enabled wallet.
xPayments is a Vue.js web-app powered by a backend API written in Node with a MongoDB database.
What's next for xPayments.me
PayID Resolution Helper
Using this feature, users can check the payment addresses of a PayID without having the recipient sign up for a payment page. This is similar to
PayID Validator
Payment Confirmations
To help enable invoicing solutions, we would like to introduce payment confirmations. With this feature, users can optionally provide an email to be notified when a payee completes a payment. On the payment page, payees would be able to enter a transaction ID for us to check the status of the ongoing payment. If successful, an email will be sent to the receiver, indicating that payment has completed for a set amount.
Xumm Integration
To improve upon the invoicing functionality, we would like to integrate with
Xumm
to create sign requests. This further decreases the friction of collecting cryptocurrency payments.
Security Review
The site is currently in demo mode. To enable production deployments, we will need to review and remediate any security concerns around our API.
Mobile Optimization
xPayments.me is currently only optimized for web use. We would like to make the styling and UX responsive to mobile interfaces.
Production Deployment
The front-end is deployed through Firebase hosting and the back-end through Heroku. For production deployment, we would like to move towards a complete solution either on GCP or AWS.
Additional Currencies
We would like to support additional currency payment options once PayID introduces support.
Built With
firebase
heroku
html
mongodb
node.js
scss
vue
Try it out
xpayments-me.web.app
github.com
github.com | xPayments.me | A central gateway for cryptocurrency payment information, powered by PayID. | ['Roshan Pawar', 'Frank Jia'] | ['Honorable Mention'] | ['firebase', 'heroku', 'html', 'mongodb', 'node.js', 'scss', 'vue'] | 8 |
10,301 | https://devpost.com/software/verified-payid | Inspiration
The Inspiration is to bring Cryptocurrencies and the Blockchain Developments Mainstream!
Quote Ripple CTO: We need Frameworks which protects the consumers, but doesn't suffocate the innovation in the Process.
Thats what we build, we regulate the Market but decentralized which give the technology to the same potential to grow as before.
What it does
Stop Money Laundering
Verifies Users
Protect Exchanges
Build you own decentralized Identity with one assigned Payment ID
How I built it
WITH OUR GREAT TEAM! We build the whole KYC.Crypto dApp on the Tron Blockchain and connected it with IPFS. All Datas on IPFS and the Smart contracts are fully encoded.
Challenges I ran into
The biggest problem was to find the perfect match based on the worldwide legal opinion! Every country has own Laws based on the personal Documents and Identity and we found the green dot, we created an product which allows no one without your confirmation to watch your Documents or personal Details.
Accomplishments that I'm proud of
I am proud we are the first and oiliest global decentralized KYC Sharing Platform with integrated PayID! The PayID makes it now much faster for the future to follow our target to be the first 100% decentralized but regulated Bank.
What I learned
patience
What's next for Verified PayID
As next we will implement an subscription and time release smart contract which companies can use to pay salaries cheap and decentralized to all stuffs or for private costumers to pay monthly the rent or something like this!
All connected with the PayID.
Built With
ipfs
solidity
tron
Try it out
my.kyc-crypto.com | Verified PayID | The verified PayID - Decentralized saved Identities assigned to the PayID! No more Money laundering - but 100% decentralized Payments! Your Crypto is your Crypto but regulated! | ['Tobias Graf'] | ['Honorable Mention'] | ['ipfs', 'solidity', 'tron'] | 9 |
10,301 | https://devpost.com/software/care-from-far | Inspiration
DistanceCare side that brings together Care receivers , Care Payers, Doctors and Lawyers with PayID Integration
What it does
Connects families across borders with doctors and layers and simplifies payments
How we built it
PayID, Javascript, Node
Challenges we ran into
Some new concepts
Accomplishments that we're proud of
Pay ID validation and Xumm handshakes, and relating to the need of the hour
What we learned
There is a lot to improve on.
What's next for Care From Far
Building on further XRPL / ILP capabilities, contributing to xpring / payid
Built With
javascript
node.js
payid
postman
xrpl
xumm
Try it out
github.com | Care From Far | Virtual Care Services Medical and Directives Services over tele-health across borders connecting families at this time of need with easy ways of managing payments with PAYID. | ['Chainaim SK', 'Yattish Ramhorry'] | [] | ['javascript', 'node.js', 'payid', 'postman', 'xrpl', 'xumm'] | 10 |
10,301 | https://devpost.com/software/clever-gallery | obligatory landing page 3
obligatory landing page 2
obligatory landing page 1
Please see
clever.gallery deck
.
Thank you for your consideration.
My video is unrelated as I didn't realize until 4minutes to submission it was required.
Built With
aws-lambda
google-slides
python
Try it out
clever.gallery
clever.gallery | clever.gallery | Solving real issues in the art market. | ['Joseph Chiocchi'] | [] | ['aws-lambda', 'google-slides', 'python'] | 11 |
10,301 | https://devpost.com/software/asset-stream | The future of monetary value is always shifting. Along with this constant change, comes the re-evaluation of traditionally secure commodities with historical connections to central banking - gold being the most prominent throughout modern history [1]. Storing value in a physical state like Gold or Silver bullion has the natural benefit of direct and transparent observation of such assets by whomever is their custodian. Ensuring trust in a third party custodian of private physical assets requires impermeable communication, and absolute security.
A problem arises when each process is implied but left invalidated, in near-real time, by the actual owner of such assets. How may one ensure that the assets they entrust to a custodian are always secure and that the value of such assets primarily remain in the owners control [2]?
A solution exists in a concept called Proof of State [5]. To be able to near-immutably confirm the physical existence of an asset by sensory stimulus - touching an asset ensures that it has the greatest opportunity of being real. Using various sensor arrays combined with DLT, the ability to ensure physical proof of state exists.
Imagine a secure vault in space containing more potential gold than any one nation on Earth. Imagine this vault was actually an organic asteroid in the asteroid belt [3]. The contents of that object, in that specific location in space, can be validated from Earth with modern technology.
During the 1849 California Gold Rush, a similar concept known as a 'staked claim' existed which provided the ability for pre-extraction financing [4]. We propose a modernized approach with a similar structure.
Loxbox calls this process 'poke and prod' (P&P). In order to ensure the existence of an asset increases the utility of that asset, confirmation of it's existence is beneficial as long as the process does not introduce friction or expense to the owner or the custodian.
Poking an object to prove that it exists allows an immutable record of that asset's current value and state. A historical ledger of all potential proof of state validations can be seen during this process. By ensuring the providence and utility of an asset, derivative financial contracts can be created based on that validation.
An interesting opportunity exists when exploring multiple relativistic observations occurring at the same time on the same asset. Specifically, does the value of the asset increase exponentially based on a correlated increase in the want to prove it's actual value.
Can providing the custodial service of proof of state via 'P&P' enable re-syndication of short term derivative debt based on the speculation of the true value of that asset at any one time held in conflict by any two observers?
Space exploration is bringing new opportunities for Earth-scarce compound extractions which may impact speculative markets as well as terrestrial extraction firms. We see an opportunity to explore asset custodianship with increased trust and transparency by removing the human condition of securing the assets, and redefining the human condition in believing their value is valid with direct sensory-based observations.
[1]
https://www.bankofengland.co.uk/gold
[2]
https://www.bullionstar.com/blogs/koos-jansen/audits-of-us-monetary-gold-severely-lack-credibility/
[3]
https://www.cbsnews.com/news/hayabusa2-japan-lands-spacecraft-asteroid-ryugu-take-underground-soil-samples-today-2019-07-11/
[4]
https://en.wikipedia.org/wiki/Land_claim
[5]
https://eprint.iacr.org/2020/190.pdf
Built With
3dprinting
c++
node.js
nodemcu
payid
typescript
xrpl
Try it out
asset.stream | Asset Stream | Pipe real-world physical asset value streams like you would data! Revolutionary new 'Proof of State' technology lets you validate the existence of asset backed digital tokens. | ['Ponder Jaunt', 'Michael Brown'] | [] | ['3dprinting', 'c++', 'node.js', 'nodemcu', 'payid', 'typescript', 'xrpl'] | 12 |
10,301 | https://devpost.com/software/proxipay-ir4k3p | Simple Translation from PayID to Ripple Address
Easily Generate and Share Links for Easier Payments
Generate Paper Wallets with Printer Friendly Output
In addition to Xpring - it can communicate with private nodes and perform additional functionality: Trust Line Issuance & Orders Exchange
Inspiration
The goal is to create a simple way for freelancers to both manage their credentials, their payment methods, as well as their reputation. With a simplistic and foundational payment system, it will provide the necessary components to slowly build up the network.
What it does
This will allow for agents to setup a simple payment scheme which they can adjust from a ProxiPay Dashboard (future) and then from this dashboard they can enable various services (ie Payment channels / other features) that are tied to their ProxiPay wallet.
How I built it
Javascript, HTML, CSS, and PayID Server
Challenges I ran into
Combination of the Xpring SDK (limited functionality) and the XRPL specification (JSON RPC / Websocket). Windows and the PayID Setup.
Accomplishments that I'm proud of
Not needing to change much to get the old portal from 2018 working again with the Xpring SDK and the XRP Specification. Getting it up and running within a couple days, and helping a person online in the Discord chat.
What I learned
PayID Specification & Standard - what has changed in XRP since 2018.
What's next for ProxiPay
Flesh out the sign up process. Continue to add options for credentials and other payment methods outside of XRP, and then look at connecting it with Interledger. Finally - build a simple plugin (embedded form) to add for ProxiPay users to setup donations, and more.
For more information check out
https://proxi.network
https://kyledm.ca
Built With
css
html5
javascript
node.js
payid
xrpl
Try it out
proxi.kderbyma.com | ProxiPay | ProxiPay is a simple way for Freelancers to setup various payment methods that can then be integrated within a decentralized and distributed supply chain network (The Proxi Network). | ['Kyle Derby MacInnis'] | [] | ['css', 'html5', 'javascript', 'node.js', 'payid', 'xrpl'] | 13 |
10,301 | https://devpost.com/software/paygo-ofqygt | Inspiration
With the future of work going remote, and conversations happening in Slack more and more, sending payments should also be as easy as sending an email WITHOUT the context switching.
What it does
Paygo is a PayID network with a Slack app that lets users get PayID information or send money on the Xpring network without leaving Slack.
How I built it
Slack API obviously, with a Node/Mongo backend.
Challenges I ran into
Just a little bit of a learning curve with the idea of the PayID network and Xpring.
Accomplishments that I'm proud of
Successfully sending XRP on the testnet in the Xpring network!
What I learned
PayID, Xpring
What's next for Paygo
Expansion to make the other buttons fully functional and ability to send all currencies as the SDKs expand.
Also expand to other messaging apps like Facebook Messenger, Microsoft Teams, Google Chat.
Built With
mongodb
mongoose
node.js
payid
ripple
slack
Try it out
paygo.digital | Paygo | Use your PayID without ever leaving Slack. | ['Alex Sopinka'] | [] | ['mongodb', 'mongoose', 'node.js', 'payid', 'ripple', 'slack'] | 14 |
10,301 | https://devpost.com/software/digixpayid | Sign Up Form
Sign In Form
PayID Car
Create PayID
Created PayID Card
Wallet List
Wallet Transactios
Send PayID Payment form
Send XRP Payment form
PayID QR Code
XRP Wallet Balance
Payment notifications
Notification List
Settings
Inspiration
I have had the idea for some time to build an XRP wallet. After attending the PayID Developer Conference and seeing what the PayID protocol had to offer, I wanted to take up the challenge and build something on top of it. I also found the idea of being able to abstract the XRP wallet address a great idea making it as easy as sending an email to someone to pay someone in XRP.
What it does
My app allows you to send XRP payments to other PayID addresses or to other XRP addresses. There is no limit on only sending payments to people who use our app to create their PayID. As long as the PayID has a valid XRP wallet linked to it, our app can send a payment to the other PayID address.
I give the user the ability to link both one MAINNET XRP wallet (production) and one TESTNET XRP wallet to their PayID.
If a user wants to get comfortable using our app and sending PayID or XRP payments, they can easily switch to the XRPL TESTNET in the settings. They then have the ability to create test wallets and link a test wallet to there PayID.
Features
Create your unique PayID address and start accepting XRP payments using your PayID address
Share feature to share your PayID with others
Share feature to share XRP wallet addresses
QR Code created for your PayID that others can scan to send payments
Ability to create multiple production XRP Wallets and multiple test XRP Wallets
Ability to dynamically change the test or production XRP wallet that is linked to your PayID address directly from the app
User Case: You want someone to send you a payment to a different wallet. Make the change in a matter of seconds, and you have different XRP wallet linked to your PayID
View XRP Wallet balance
View Transaction of each wallet from the app
Ability to send payment between your wallets in the app
Ability to send payment from individual wallets to other XRP Wallets or PayID addresses
After a user has sent a payment they receive an app notification after the payment has settled on the ledger
I show a green link icon in the corner of the wallet that is currently linked to a user's PayID. That way, the user knows which wallet is currently linked to their PayID.
Settings section allows a user to switch between test wallets and production wallets
Settings section allows users to changed the name of their XRP wallets
All sensitive wallet data is store locally on a user's device and never sent to our servers for extra security.
How I built it (Technical Specs.)
I built the app using the following technologies and flow:
SwiftUI to design the front end of the iOS app
Swift to code the backend that interacts with the front end
Realm to store wallet data on the user's device
Firebase to store the users PayID to sync between devices
AWS API Gateway to proxy the request to the AWS Lambda functions that communicate with the PayID Admin API endpoints
AWS Lambda functions to make calls to the PayID server securely
AWS RDS as the backend database for the PayID Servers
AWS EC2 instances to run the load-balanced PayID Servers
LetsEncrypt to generate the SSL certificates to securely communicate over HTTPS
Google Firebase for user authentications and authorization
Google Firebase Cloud Functions to securely makes calls to the AWS API Gateway endpoint from the mobile front end
All interactions with the XRP Ledger uses the Xpring SDK which saved me a lot of time
Challenges I ran into
The first challenge I ran into was figuring out how to securely communicate with the PayID Admin APIs from a mobile app without exposing the PayID admin endpoints to the outside world.
I overcame this challenge by combining various cloud technologies to secure the admin endpoints
The second challenge that I faced was syncing the users PayID address between multiple devices
Accomplishments that I'm proud of
What I am most proud of is being able to put together a payment application that uses XRP as its payment method, and being able to build it from start to finish in about three and half weeks.
What I learned
I learned the following things:
I learned a lot about the PayID protocol and how to use it to build production payment apps on top of the protocol
I learned to take advantage of multiple cloud providers and not just one provider to build a complete solution on top of them
What's next for DigiXPayID
Here is what's next
Continue to build out features to the app such as:
Figure out a way to integrate the Interledger protocol for payments
The ability to add other supported wallet types to a users PayID (BTC, ETH, and others as support is added)
See where there are possible integration points between exchanges such as Uphold and Coinbase
Add the ability to restore wallets with seed words
Based on user traction I will also release an Android version
Refine the user interface
Based on traction possibly seek funding to expand features, functionality, and growth of the application
Built With
amazon-web-services
firebase
gcp
ripple
swift
swiftui
Try it out
github.com
github.com | DigiXPayID | Helping move value faster | [] | [] | ['amazon-web-services', 'firebase', 'gcp', 'ripple', 'swift', 'swiftui'] | 15 |
10,301 | https://devpost.com/software/dtangle-web-monetized-content-discovery-platform | dTangle.io Landing page
dTangle.io Search results
dTangle.io submit new web monetized content
dTangle.io about page
dTangle.io commit 1
dTangle.io commit 2
Inspiration
What it does
How I built it
I first created a script to Index all existing Web monetized website. Next, I then built a simple search and discovery mechanism so that anyone can search for content. Finally, I designed the process to allow anyone to recommend any Web monetized.
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for dTangle - Web Monetized content discovery platform
Built With
blockchain
coil
interledger
material-ui
node.js
payid
react
webmonetization
Try it out
dtangle.io
github.com | dTangle - Web Monetized content discovery platform | dTangle lets content creators share their content and users to discover & enjoy the content without Ads. In a world where people want to take ownership of their content, transparency & fairness is key | ['Christine Edith Dikongué', 'Uchi Uchibeke'] | [] | ['blockchain', 'coil', 'interledger', 'material-ui', 'node.js', 'payid', 'react', 'webmonetization'] | 16 |
10,301 | https://devpost.com/software/leasure-learn | Problem
Small businesses are suffering losses due to COVID self-isolation: no clients, no revenues. They don’t know how to promote and sell online. Otherwise people have a lot of free time that they would like to spend with max benefits and pleasure.
Inspiration
We are all music lovers and constantly face the difficulties of finding quality content, ready to pay for it. There are a lot of huge monopolistic platforms on the market, which have either too wide niches or narrow ones, particularly for gamers only. We wanted to make a service that allows listening to your favourite music artists anywhere at any time.
Our solution
A decentralised streaming platform for live music events.
How it works
Streamer (event organizer) creates an account, unique PayID identifier.
Streamer schedules a new stream and sets up monetization options (ticket, donations goal, products, ‘pay as you watch’).
Streamer publishes a link to her social media, website, etc.
Depending on the selected payment option, users buy a ticket or pay per second, get access to the stream, chat, make donations or buy goods via wallet that support PayID within the browser extension.
How we built it
We compiled a business canvas, interviewed people and researched the market to identify problems, competitors and possible solutions. Then we created a design and a prototype, filmed and mastered the footage video, set up a PayID server on a local machine, but haven’t finished the full integration.
Challenges we ran into
It was difficult to decide exactly how we are going to focus on functionality. Will it be possible to post events for other categories, how to make the process simple, clear and familiar to users. We haven’t managed to implement streaming payments and will try to add this feature after the hackathon.
Accomplishments that we're proud of
We have built a cool platform that we're gonna use ourselves!
What we learned
We have realized that the virtual world is much wider than we can imagine. Every year the number of hours spent online is growing and the percentage of broadcasts in this segment is significant. We had a chance to learn more about the newest payment systems and decentralized platforms.
What's next for Watch & Listen
We plan to dig deeper into the nuances of online events and do everything to create a better experience, allowing users to create new types of leisure and allow talented people to earn more.
Built With
adobe-illustrator
finalcut
javascript
javascript/vue.js
livepeer
livepeer-for-decentralised-video-streaming
marvel
node.js
photoshop
sketch
teamvideo
telegram
xpring-sdk
Try it out
github.com | Watch & Listen | Decentralized streaming platform for live events. Monetize your streams via selling tickets, merch or accept donations. | ['Maria Kachalova', 'Kirill Madorin', 'Artem Bryzgalov'] | [] | ['adobe-illustrator', 'finalcut', 'javascript', 'javascript/vue.js', 'livepeer', 'livepeer-for-decentralised-video-streaming', 'marvel', 'node.js', 'photoshop', 'sketch', 'teamvideo', 'telegram', 'xpring-sdk'] | 17 |
10,301 | https://devpost.com/software/sponge-d40bg3 | Sponge
Simple, modular social storefronts powered by PayID
Overview
In the same way that the seamless integration of eBay and PayPal revolutionized Web 2.0 or how WordPress and WooCommerce allowed everyone to create a blog + shop, Sponge will act as the catalyst of change in bridging the old, Web 2.0, with the new, Web 3.0.
It will enable global commerce through PayID and introduce social media users to blockchain-based payments in a world that is still reliant on traditional banking, Zelle, Shopify and Cash App.
This is a game-changer. And it could very well bring PayID to the mainstream (once polished). Thus, the main focus of Sponge is to then facilitate the connection between social networks, e-commerce purchases and payment networks for the global economy.
What it does
Sponge provides an easy way for users of silo'd social networks across the web to consolidate all their payments for products, memberships, subscriptions and commissions in one global place - Sponge. It is a open source, remixable e-commerce mgmt system that is providing the stepping stones for what e-commerce could possibly be through the PayID protocol.
Sponge is fully open-source (BSD, 3-clause licensed) and modular in design as well as in functionality. The technologies chosen to build Sponge were picked especially in order to serve the former purpose. Many plugins can be built for each library used for the transport layers (fastify.js and graphql) and the micro-services switched out to an extent.
Perhaps the only true critical piece to the MVP's infrastructure is, of course, the payments service powered by a PayID server instance and its' corresponding client integration via the transport layer.
How I built it
This project consists of many different interdependent yet decoupled modules that work together to provide the 'Sponge' service. It contains a REST API server, Minio S3 bucket, GraphQL server, web app client + landing page based on React.js/Next.js, task queue on Redis via
bull
, authentication through
accounts.js
and
Fortmatic/Web3
and MongoDB as a store.
The reason these technologies were used, was to provide a hybrid solution of traditional web 2.0 and web 3.0 block-chain on-boarding for users who may not be used to XRP.
Challenges I ran into
ui Design choices of a mobile-first storefront
choosing the 'correct' technologies for both the client, server and services.
integrating web3/fortmatic with traditional web2 email/secret-based signup
planning out the database schema for merchants, customers and orders correctly
...time management as a latecomer and solo contributor
What's next for Sponge
Simplicity takes complex planning.
There are many improvements and additional features that need to be added to Sponge before it is ready for production. Hopefully the choice to release it as an open-source project will help with contributors improving the project and developing it.
Extension Categories:
Commerce
.
Digital Identity
.
Getting Paid
.
Try it out
github.com
app.sponge.id
api.sponge.id
sponge.id | Sponge | Bridging hybrid e-commerce on social channels through "serverless" storefront software. | [] | [] | [] | 18 |
10,301 | https://devpost.com/software/spend-the-bits | Transaction Dashboard
Menu
Inspiration
High transaction time and high transaction fee are two of the biggest problems in international payments even in today's digital world. We wanted to design a way to facilitate easy payment cleared in seconds and with nominal trnsaction fee to boost international trade.
What it does
It allows users to add funds to their PayID Wallet, transact with other users globally, and withdraw funds back to their bank / crypto wallets. We have added adding and claiming funds through original bitcoin network as an example, which can be extended to any currency . Once funds are recieved , users can transact in a jiffy with other Spend The Bits users using their PayID.
How we built it
We built the whole platform on top of XRPL, and connected via automation to the BTC network. So, every user gets a PayID address , and also a BTC Blockchain address. As soon as user funds that BTC address, we add wallet balance in BTC to users wallet as IOUs. After transacting with other usrs, once can claim back the IOUs and withdraw to actual BTC blockchain , thus completing the whole circle. The same can be extended to other currencies as well. We have added transacting in 5 currencies like USD, GBP , XRP ,BTC ,CAD as an example.
The app supports any number of currencies and allows seamless, fast transactions with any PayID user ( provided the trust lines are set)
Challenges we ran into
We created our own XRPL server , and took time to figure out the the security and other aspects.
Creating APIs for our Django server to talk to the XRPL network was a challenge initially.Once things were in place, we created multiple user interfaces to make it simpler for the user to transact.
Accomplishments that we are proud of
We are able to set up all APIs with client side signin. Thus, our server never stores any secret keys of the user.
We provide own IOUs and have auto activation of client wallter by adding 20 XRP fee, once he receives initial funds in any currency using our live XRP / User Currency rates.
So, it is easy for user to get his wallet activated by subtracting 20 XRP worth of funds from his initial funds.
What I learned
When we started, it looked super easy to us. As we proceeded, we learnt that simplifying user experience is np easy feat.Creating a polished user interface along with multiple automations for trust lines etc., we were able to set up user security along with ease of use.
What's next for Spend The Bits
Spend The Bits plans to extend its services for Bitcoin ATMs to allow easy addition and withdrawal in Bitcoin ATMs using the power of PayID.
Built With
django
payid
python
react-native
ripple
Try it out
spendthebits.com | Spend The Bits | Pay using any currency (fiat and cryptocurrencies) to other PayID users. Users can add funds, transact with other PayID users around the globe in seconds, and withdraw funds back. | ['Jay Singh'] | [] | ['django', 'payid', 'python', 'react-native', 'ripple'] | 19 |
10,301 | https://devpost.com/software/obituary-space | Obituary.cloud -- put obituaries on the blockchain with donations powered by PayID
Upload an obituary to the blockchain after connecting with a wallet
Transform an image into text representation to be stored
Add addition obituary information and donation addresses, and we will use PayID to translate the info so it's not hardcoded
The obituary on the blockchain
...with the image
...and also the donation payment info with PayID
Viewing the obituary and donating on the website
Retrieval of address from PayID via the website
Bad actors are not able to change donation addresses
To change the payment address, only the original account holder can sign valid cryptographic messages to update the PayID account info
Only original account creator cnd change addresses
Inspiration
2020 has been a difficult year for everyone. Many have had loved ones lost to COVID and all of us are reminded of how fleeting and precious life is. To give back during these difficult times, we wanted to create a service that people could use to remember their loved ones forever and have an eternal record for future generations to come. It also gives people comfort that they will have a way to start storing memories of themselves should something happen to them so that their families will always have something to remember them by.
Obituaries today are created to recount a loved one’s life and their memories. However, these are printed in a newspaper and must be saved in order to pass it down. It also relies on family members keeping photos, obituaries and other keepsakes together for future generations to be able to get a good picture of what that person was like. We wanted to use the power of blockchain to create a blockchain stored obituary which is created by the family of the deceased which will be stored to the blockchain to remember the beloved one by. Future generations can access the information stored in the blockchain and can look at photos, keepsakes and anything else the family chooses to store for their family to remember them by. Additionally, because of these tough times, we wanted to enable donation payments that would allow anyone to donate to the family of the deceased or even a charity of the family’s choice.
What it does
We allow anyone to create an online obituary that will live on the blockchain inside a transaction. With blockchain (i.e. decentralized technology), anyone’s memory can now
“live” eternal on the blockchain since a blockchain is unchanging and permanent. Unlike websites, which require maintenance and servers to be active, a blockchain will exist forever, even if work to the blockchain stops so it’s the perfect way to capture memories of a loved one’s life for all future generations to remember them by.
For the donation aspect, because we realize that people’s donation addresses may change or the charities they choose to donate to may change in the future, we didn’t want to permanently hardcode donation addresses. This is where PayID was the perfect solution. By leveraging the PayID protocol, we write the address of the PayID to the blockchain instead of permanent addresses, and this PayID address can be changed by the family deceased anytime in the future.
How I built it
We use web3 technologies to retrieve and store to the blockchain and also Ganche/Truffle to write the smart contract that users will create the obituary to and include the data inside the transaction. Anyone then can view the data and see the image of the deceased as well as the description of the obituary. Finally, we deployed PayID and used our domain, Obituary.Space, as the PayID domain to look up addresses for retrieval of the donation addresses.
To be able to change a donation address, we require a user to prove they own the address that created the transaction. We do this by cryptographically signing a message, which generates a signature, and then verifying the message with the public key. The public key is the original wallet address which created the obituary. If the signatures match, then we allow the user to update the PayID details. If they don’t, then they cannot change the address as they have not verified that they own the wallet address.
Challenges I ran into
We aren’t blockchain developers so it was a bit of a learning curve. However, we’re proud of the final product, which writes to a real testnet and not just a local host.
It was great to learn about PayID and the challenges it solves in fixing address issues. It opens the doors to be able to do so much more off the blockchain which doesn’t exist today.
What’s next for Obituary.Space
We will be releasing the contracts to mainnet and collect feedback from people who use it. It’s a free service and we hope that this brings a little comfort to people whose loved ones have passed because they have an eternal way to remember those loved ones by. We hope this also contributes to the blockchain community and to the PayID community and we look forward to hearing how we can improve this for people. We also hope that people can overcome hardships with COVID with the donation option through the PayID integration.
This is a live product, but we are currently using the Rinkeby network. To try out the app live, first get some test tokens on the Rinkeby faucet site, then try out the app afterwards. We will be launching into mainnet with PayID after we do some more testing and tweak the UI a bit more.
Built With
node.js
payid
ripple
solidity
Try it out
obituary.space
rinkeby.etherscan.io | Obituary.Space - Donations Through PayID For Loved Ones | Due to COVID19 there have been many loved ones lost. Obituary.space is a project to remember loved ones and PayID is the backbone to allow people to donate to the kin or on behalf of the deceased | [] | [] | ['node.js', 'payid', 'ripple', 'solidity'] | 20 |
10,301 | https://devpost.com/software/conjure-ujk4al | The PayID management screen. Further improvements will include
An in-world trade between two users.
Displayed is a pay window which can be used to give PayIDs to virtual objects and assets.
Inspiration
People yearn for connection. We are social animals. In an ever increasingly connected world, we assume that naturally, the connections we make would be positive. But the trajectory the digital platforms, corporations and markets are heading us in only seem to be dividing us. We've long since dreamed of digital spaces that connect us in ways traditional centralised systems never could (be it physically with cities, in terms of data with platforms, or culturally with inherent echo chambers). What if there were a way to have the fluidity of community, collaboration and connection that we best experience, and generate virtual spaces to transcend the limitations imposed by the natural world? Conjure is attempting to synthesise what is necessary to build user-centric virtual spaces at the data level. Building new economic models must be a part of this, and PayID provides the perfect protocols to do so.
What it does
Conjure does much more than just create virtual spaces. It is a genuine conversation about how we can reconfigure the digital world to be omni-win. By enabling PayID, we can create payment solutions that operate as seamlessly as messaging services with all the security benefits of the latest in modern cryptographic techniques. These PayIDs can be attached to not only user profiles, but virtual assets and objects themselves, enabling any instantiation of a 'real world' transaction, to any that could be conceived in a gaming context, and more.
This demo shows a user making a payment both to another user, and to an in-world asset using PayID.
How I am building it
The Conjure prototype is designed to be a simple portal into Web 3.0, thus it must meet the criteria of being entirely self contained. This introduces security concerns both on the network and data layers. Luckily, modern tools like Interledger, Zero Proof Knowledge systems and Smart Contracts allow data to be held in a distributed centralised fashion while maintaining authorship and ownership.
Being still a prototype, the underlying technologies enabling Conjure are still up for debate, and set to change. The current prototype utilises IPFS for semantic tracking of data, along with its built in libp2p for peer to peer networking.
PayID is implemented using both the ripple-lib JavaScript library as well as the PayID API directly.
Challenges I ran into
Unfortunately, I had trouble authorising payments with both interledger and the PayID admin api in the browser. I will continue to debug, but I believe it to be due to the environment in which the browser operates. The payments shown in this demo are using real accounts, and the information is real, though due to these difficulties the payments shown exist only within the Conjure world.
Accomplishments I'm proud of
Achieving cross-platform web based decentralised virtual spaces is no trivial task. In just three short months I have gone from designing a simple 3D tool for discord servers to realising the true potential of the combined power of the technologies we now have available. In this time I have laid out a plan to materialise the first instantiation of a truly decentralised and user owned virtual layer to society. Implementing PayID will play a crucial role in showing this project is more than just a game or VR experience.
What I learned
Beginning Conjure as an experienced programmer primarily in games and machine learning, but without any web development experience, it was certainly a challenge to dive into this world. This has also been a fantastic introduction to the tech stack that underlies not just PayID, but crypto and associated technologies.
What's next for Conjure
Conjure is a long term project, and is still very new. Implementing wallet management using PayID is a near term goal for Conjure, to give users full control over their PayID without ever changing browser tabs. The power to create will soon be in your hands.
Testing instructions
Currently, the source is closed, as rapid development is ongoing. A private link has been shared with
contactxpring@ripple.com
Built With
ammojs
discord
ipfs
javascript
node.js
p2p
ripple
three.js
webgl
Try it out
conjure.world
github.com | Conjure | With the power of virtual reality, peer to peer networking, easy payments, and big data, seamless digital collaborative spaces can be created. Conjure is building the tools to summon Web 3.0 | ['Ponder Jaunt', 'Josh Field'] | [] | ['ammojs', 'discord', 'ipfs', 'javascript', 'node.js', 'p2p', 'ripple', 'three.js', 'webgl'] | 21 |
10,301 | https://devpost.com/software/easy-send-with-payid | Inspiration
I need Money Honey!
Honey done. Thanks See ya...
What it does
Sending money is not hard anymore, at least when it's your hard earned money.
We for the PayID Hackathon propose a simple end to end encrypted money transfer system that resembles a instant messaging app, but with a trust worthy interface, so that people wont run away.
How I built it
Built using Reactjs and Gatsbyjs. Flutter and Many more things
Try it out
github.com | Easy Send with PayID | Honey Thanks for the Money | ['Abhay Dnyandeo Pawar'] | [] | [] | 22 |
10,301 | https://devpost.com/software/animl | Find Your Pet
Pet Profile with PayID
Shelter Profile with PayID
Donation $25
Donation_Completed
My Pet Profile
Inspiration
I love animals and I believe that real emotional connection with animals is making people lives better, richer and more satisfying. Also, I see that many of us would want to have a pet, but can't "afford" it due to a lifestyle, living conditions or other reasons. On the other hand millions animals in shelters crave people love and support.
So I came up with an idea for a mobile app where people can foster real animals virtually around the globe. Where all the care is done by professionals in shelters and virtual owners can support a real animal by donations, visit them or adopt. Users can make donations using unique animal PayID and become semi-virtual pet owners. PayID provides transparency of money allocation and spending. There is also an option to donate to a shelters using their PayIDs to cover needs of all residents.
Today donations are usually made through traditional ways that are long and expensive thus shelters are losing precious cents on commissions. Meanwhile, using PayID together with XRP is not only a more convenient and a faster option, but it also reduces the frictions that can save lives of real animals.
What it does
The app matches users to animals all around the globe. Users can search, filter or browse through categories that include domestic and exotic wild animals living in sanctuaries.
Each animal has a profile with pictures, general info, location, current balance and PayID.
User can donate to a specific animal or a shelter.
After a donation to a specific animal user can find it in My Pets section of the app. User gets notified if one of his/her pets is getting close to running out of money.
Pet caretaker (shelter employee) can post updates and pictures of the animal. This way virtual pet owners stay up to date.
Pet owner can communicate with caretaker through the app and schedule visits.
How I built it
I've used Sketch and Invision to create a prototype of the Mobile App.
Challenges I ran into
Structuring and presenting large amount of data in a concise and user friendly way.
Finding a way to build a sustainable product without charging significant commission from users or shelters.
Accomplishments that I'm proud of
The app looks clean and easy to use.
I'm proud that I give opportunity to human and animals to live a better life.
What I learned
How to apply PayID for solving real world problems and helping those in need.
What's next for ANIML
I plan to hire developers to build an MVP. Meanwhile, I'm going to apply my business development experience to partner up with shelters and exotic pet sanctuaries to get them on board with the idea. As well as working on a business and marketing plan that would attracts users. When the MVP is ready I would test it with both shelters and users. At this point I will have enough traction and understanding of the market to build a sustainable product.
Built With
invision
sketch
Try it out
marinamorozova763098.invisionapp.com | ANIML | Semi-Virtual Pet Fostering and Donation Mobile App. It connects people and animals all around the globe while making the donation process easy, transparent, and frictionless. | ['Marina Morozova'] | [] | ['invision', 'sketch'] | 23 |
10,301 | https://devpost.com/software/web3devs | One Click Droplet Digital Ocean
PayID 2.0
GravityForms Plugin
WP-plugin
ReactApp
Inspiration
We were going to attempt to build a Dwolla/payID app; however, we realized that a nongeek would not be able to create their payID to use our app. So we broke up into two teams. Team “A” continued down the Dwolla app, and we(the “B” etter team) started to solve the issues of nongeeks being able to create, edit, and delete their payID data as well as post a URL for anyone to see their payID's. We put our heads together and the three of us took on the challenge.
James took on a one-click Digital Ocean droplet as well as using Gravity Forms to create payIDs using payID server 1.0.
Brian took on using native WordPress plugin using shortcodes to publish the created PayID’s using payID 2.0 and
Jerzy created payID 2.0 with a react app to do everything we were not able to do using payID 1.0.
What it does
We started by allowing an end-user to create a droplet from Digital Ocean that would allow you to set up your own payID server with what we are calling “payID 2.0” functionality. After updating your DNS you have a live payID server with two react apps.
Next we have a step by step option on how to use Gravity forms in WordPress to create their payID without having to “code” anything. However, since Gravity Forms is not free, we also created a standard WP plugin with the ability to create edit delete your payID and post a short code to display the results on a WP post/page.
Finally, we realized there were some missing features with the current payID API/Server. We built a Digital Ocean droplet with a docker install that allows a user to create what we call payID 2.0. We have submitted this droplet to Digital Ocean for a one-click install approval. This droplet includes a proxy that will allow you to add simple or complex authentication to the /admin 8081. We wanted a more secure way for apps to connect to the payID server. It also includes missing API calls like get all users and add/delete addresses to your current payID user. You can see many of these things this being used well in the react app.
How we built it
We first scoped out the project as a team by asking a few friends how they would accomplish their payID. After getting back the results we choose wordpress as the main platform by quickly realized that an out of the box solution was needed while installing the payID server. We used native Wordpress plugins, used PHP and bootstrap to create our own, GoLang, React, Docker, and Nginx for the rest.
Challenges we ran into
We found and submitted a few bugs to the payID team. We also ran into how do we keep this secure as well as allow nongeeks to update their payIDs without needing to know how to use curl or code. We feel we overcame all of our challenges by the end of our project.
Accomplishments that we're proud of
We are extremely proud of the ability to allow authentication and authorization under just one port. This allows the ability for other to build apps based on many different permissions.
Once the droplet is approved by Digital Ocean then there is a very easy way to get a payID with your own domain up running in minutes.
Lastly, we are proud of the multiple ways mass adoption can be achieved with our apps.
What we learned
We have learned that the need for this is real. The ability to allow users to run their own payID server to allow other apps to call on the latest addresses is much easier than asking or putting in the ability for long complicated addresses.
What's next for web3devs
We very much enjoyed this project and if the community and judges like it we would be happy to poll for more features and push them.
Built With
digitalocean
docker
droplet
golang
gravityforms
nginx
php
react
web3
wordpress
Try it out
payid2.rootpayments.com
rootpayments.com
rootpayments.com
rootpayments.com | web3devs team B(etter) | We put together a payID 2.0 server w/auth proxy that will allow a non geek to securely create edit delete their own payIDs using Wordpress, Gravity forms and a Reactapp. | ['James Ruffer', 'brianwentzloff', 'Jerzy Biernacki'] | [] | ['digitalocean', 'docker', 'droplet', 'golang', 'gravityforms', 'nginx', 'php', 'react', 'web3', 'wordpress'] | 24 |
10,301 | https://devpost.com/software/payid-video | Initial screen
Goal
Whether you provide tutoring sessions or wish to monetize a conference call, PayID Video allows you to achieve it in a very simple way. Enter the PayID account to be credited, and choose your preferred currency. Any other participants that want to join the call need to confirm payment beforehand.
Design
PayID Video is based on Briefing, an open-source tool with a privacy-centric design. Participants are directly connected through WebRTC sockets. The website that provides the web app and mediates the communication stores as few data as possible and does not know anything about the contents of established conversations. No accounts necessary.
PayID Video integrates PayID into this decentralized chat platform, which is a perfect fit. There is no need to create any account to start receiving payments, simply use your existing PayID address. PayID Video is also not responsible for processing any payment. However, payment processing will differ depending on the currency.
Limitations, next steps
At the moment, PayID Video only accepts XRP as a currency. It uses the power of the Xumm App to process payments. As more currencies are supported, new payment processors need to be included.
Built With
javascript
node.js
vue
Try it out
payid.video
github.com | PayID Video | Monetized and Secure video chats. Simply enter the PayID account to be credited, and start hosting your call session. Any other participants that want to join you need to confirm payment. | ['Antonio Carlos Furtado'] | [] | ['javascript', 'node.js', 'vue'] | 25 |
10,301 | https://devpost.com/software/pypayid-sdk | Inspiration
What it does
PyPayID-SDK
is a software development kit for
PayID
that contains:
documentation
sample code
extensions
python APIs
wallet templates
Terraform
deployment templates (
AWS
,
GCP
,
Azure
)
analytical & monitoring tools
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for PyPayID-SDK
Try it out
bitbucket.org | PyPayID-SDK | PyPayID-SDK | ['Warp Smith'] | [] | [] | 26 |
10,301 | https://devpost.com/software/xrpmobile | login with service code
Inspiration
Today it's optimal to state Virtual cash flourishes where web access and network flourish. It is additionally perfect to accept that Digital monetary forms should come to the unbanked in country zones, where most Africans dwell, however web availability is least fortunate in such locales.
At XrpMobile we accept that Poor Internet Access Could Slow Down Cryptocurrency Growth In Africa and the time has come to enhance elective methods of sending and getting Cryptocurrency all around without requirement for an immediate web association.
What it does
Utilizing Unstructured Supplementary Service Data(USSD) development XrpMobile created USSD wallet passes on XRP computerized cash potential to the world without web and this will accomplish reduced expense and time for exchanges, and comfort. People with all kinds of mobile cell phones can use XrpMobile USSD service to send and receive XRP cons from locations with out internet connectivity.
How we built it
We created a Rest Application Interface on top of Xrp test network and then implemented the transaction logic over Unstructured Supplementary Service Data(USSD).
Challenges we ran into
It was difficult to set up worker for the dev operations activity we have not even yet session the USSD Short code for finale application sending. Cash to purchase the short code is one of the enormous test we are confronting.
Accomplishments that we're proud of
We have successfully created a production ready minimum viable product.
What we learned
Time and task the board abilities are a portion of the things we have learned.
What's next for XrpMobile
Cooperation with x-spring ,payID and Xrp people group in order to move to production deployments.
Built With
amazon-web-services
heroku
mysql
node.js
php
ussd
Try it out
docs.google.com
github.com
github.com | XrpMobile | Utilizing USSD innovation XrpMobile carries digital money potential to the world with out web.What's more, this will bring about decreased expense and time for exchanges, and comfort. | ['nabikamba zephania', 'Francis Walugembe'] | [] | ['amazon-web-services', 'heroku', 'mysql', 'node.js', 'php', 'ussd'] | 27 |
10,301 | https://devpost.com/software/khandibizz-website | Khandibizz
Khandibizz
Inspiration came from wordpress having a site which is half way public and recognized, I Googled and found 000webhost, thanks for the inspiration.
What it does: connected to the wordpress site
How we built it: 000webhost inspired
Challenges we ran into: no challenge
Accomplishments that we're proud of:
https://khandibizz.000webhostapp.com
is live and active
Today.
What we learned: never give up on your aspirations.
What's next for Khandibizz website:
The next goal for khandibizz website is to get my own personal domain and we are working on it.
Built With
000webhost
wordpress
Try it out
bit.ly | Khandibizz website | https://khandibizz.000webhostapp.com | ['Ezra Cunningham'] | [] | ['000webhost', 'wordpress'] | 28 |
10,301 | https://devpost.com/software/xpay-dy649v | main screen
sample message
Send/Receive Screen
successful transcation
wallet creation
Inspiration
Being away from home, especially being an immigrant, I always found it difficult to send/receive money cross border. I developed this app to make this as easy as sending a message.
What it does
Allows you to create a wallet
Send XRP
Receive XRP
How I built it
Developed using iOS and Swift.
I chose iMessage as it is one of the most popular platform in the world. With iMessage, you can do P2P as well as business(
https://www.apple.com/ios/business-chat/
)
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for xPay
Extensive testing and if everything goes well release to app in next 3-4 weeks
Try it out
github.com | xPay | iMessage based XRP payment app | ['shreekantanv NV'] | [] | [] | 29 |
10,301 | https://devpost.com/software/identipay | Marketing Website
PayID Management Dashboard
Provisioned PayID Server for pay.identipay.net
Intro
Companies should focus solely on the PayID system integration. They shouldn't have to worry about the infrastructure when integrating. Concerns like high-availability, monitoring, security, and scalability can become costly to self-manage. So for PayID to be more broadly adopted, IdentiPay is offering these services for businesses who are adopting PayID. IdentiPay makes PayID is universally available without the need for setting up an EC2 and a reverse proxy for their production services.
Inspiration
I was inspired by PayID as a way to become a universal standard for transacting money much like how e-mail operates today. The other potential of PayID is as an interoperable and decentralized way to transfer money between otherwise unbridged services. The IdentiPay solution is only scratching the surface of the possible use cases for companies using PayID.
What it does
IdentiPay allows businesses to auto-provision a PayID server in 15 seconds using a user-specified subdomain and provides API keys for Admin API access. Businesses can view and create PayIDs for users from a web console as well as through the exposed Admin API. The dashboard displays key statistics and monitors the health of the PayID server.
How I built it
A React front-end using functional components and Twitter Bootstrap v5 (beta), a Node.js backend API server using a MongoDB database (MongoDB Atlas). The API, as well as provisioned PayID Servers, are hosted on Amazon Elastic Kubernetes Service (EKS). The frontend is deployed to an AWS S3 bucket and served through CloudFront. I'm using Auth0 for API authorization and Stripe Elements for payment processing.
Challenges I ran into
I ran into an initial challenge setting up the subdomain DNS records through Kubernetes. At first I thought a CNAME record would suffice to allow customers to use their own domain, but the SSL certificate that Kubernetes presents to the client wouldn't match the customer domain name. I've decided to add support for custom domains in the future. See the "What's Next" section for more info on custom domain support!
Accomplishments that I'm proud of
The dashboard lists all PayIDs which required adding a new Admin API to list PayIDs (using TypeScript). I'm also proud of deploying the whole API to EKS and how the onboarding process is completely automated.
What I learned
I learned what it takes to develop an MVP of a product. I've never developed a full software product like this before and now I'm starting to learn how to develop the product further.
What's next for IdentiPay
I'm going to allow customers to set up a custom domain name, similar to Heroku.com. I'm also going to add full support for Travel Rule compliance and more Admin APIs such, as a Search PayID API, for use in the dashboard. Currently, the dashboard only allows adding XRP accounts, but my plan is to add USD bank accounts and BTC accounts too - although a lot of this is dependent on the initial feedback I get. On the tech side, I want to add a secret management service for better handling of generated API credentials. Plus a whole laundry list of other ideas that will make PayID onboarding easy for businesses, such as embeddable PayID registration widgets that can be added to websites with a single line of code.
Thank you for taking the time to review my submission!
Built With
amazon-web-services
bootstrap
kubernetes
mongodb
nginx
node.js
react
typescript
Try it out
identipay.net | IdentiPay | A PayID Server hosting platform for FinTechs, crypto exchanges, and other PayID integrators | ['Matthew Rosendin'] | [] | ['amazon-web-services', 'bootstrap', 'kubernetes', 'mongodb', 'nginx', 'node.js', 'react', 'typescript'] | 30 |
10,301 | https://devpost.com/software/hit-me-up-st9f8v | Hit Me Up makes personal payments easy and friction free
Request or Give payments, Scan QR for item purchase, Tap NFC for terminal payments
Account information with real-time currency conversion rate and balance display.
Transaction history
Transaction info
Give payments to others with the tap of your phones.
NFC tap for terminal payment
Receive payments with the tap of your phones.
QR code for Circuit Mask
Inspiration
Making a payment - to another person, or a purchase - involves a mishmash of options, each filled with issues, fees, and complexities. Hit Me Up is a unified personal payment solution, that eliminates the problems with current methods. It removes waste and overhead, allowing a person to pay or receive payment with the currency (fiat or crypto) of choice using a universal PayID identity.
What it does
Using PayID as a payment identifier, Hit Me Up allows you to make payments in a wide variety of use cases. You can send money to others, simply by tapping your phone to theirs. You can also ask for a payment and receive it by tapping phones. You can add an item to purchase by scanning its QR code tag with your phone camera, and then checkout with a PayID payment tied to the currency of your choice. You can make a purchase at an NFC terminal such as a vending machine simply by tapping your phone. The app can also send an amount to any PayID account.
All payments are locally authenticated via biometric sensors such as FaceID or TouchID.
Amounts are displayed and managed in dollars, but the underlying payments are performed in the network/currency of choice associated with the account PayID. The app gathers real-time conversion rates between dollars and XRP, BTC, or ETH from CoinGecko. You can view the rates and your current balances under Settings.
At this point the app only implements XRP transactions, with test accounts from Xpring. Extension to other currencies or backends is straightforward.
Use cases
Let's say I went to lunch with a friend. I can use Hit Me Up to pay the merchant who has a Hit Me Up NFC terminal. The amount is specified in dollars, but I choose to pay with my XRP balance. I can then request a payment from my friend by splitting the bill amount. He chooses to pay in ETH. We tap phones to initiate the transfer. Both transactions are biometrically authenticated (i.e. with FaceID) for security. If he doesn't have the app, I can show him a QR code to scan for download.
I want a soda from a vending machine that takes Hit Me Up payments. I select my item, which is priced in dollars. I have elected to pay using my XRP balance. I tap my phone to the NFC terminal, accept the charge, and authenticate with FaceID. The vending machine receives my payment and delivers my item.
I see a nice face mask I'd like to buy from a street merchant. The merchant has a PayID address, and has printed item tags with Hit Me Up QR codes. To buy the item, I simply scan the tag with the app and authenticate the purchase with FaceID.
How I built it
I created an iOS app that performs all the operations. It integrates the XpringKit SDK to connect with PayID services.
For in-person P2P payments, the app implements a bluetooth-based communication protocol for transferring payment details between devices when they are in very close proximity. Each device uses a PayID for identity and connects to an associated backend (currently the Xpring demo service).
For in-store or merchant shopping, the app can scan QR codes that have been formatted with item and merchant info. A list is accumulated in the app as a shopping cart, and can be paid for in one payment.
For terminal payments such as at a vending machine, the app implements an NFC reader, with the captured RFID text encoding relevant item and payment information.
Challenges I ran into
I'm relatively new to the crypto-world, so I had a lot to learn. There are many features in the app, so there was a lot of code to write, test and debug. This is a new app, though I had some familiarity with bluetooth and QR codes, it was the first time I've worked with NFC.
Testing and debugging some of the networked features, such as peer-to-peer communication, or reading NFC tags was a big challenge and took a lot of trial and error to get working.
Creating a 3-minute video demonstrating all the features was also quite a challenge - gathering all the content, cropping, editing, and compositing. Getting all the timing and positioning for caption overlays took a while, as I don't do much video work. Fitting it all in 3 minutes took a lot of time.
Accomplishments that I'm proud of
I'm proud of how simple the app is to use, given the complexity under the hood. Also, the breath of features I was able to integrate makes the app useful in just about all payment scenarios.
What I learned
I learned a good deal about crypto currencies, particularly Ripple and Drops. I also learned about PayID and the XpringKit implementation for iOS. This was also the first time I've coded for NFC, so I learned about building a reader in iOS.
What's next for Hit Me Up
Building out a backend to get off the Xpring demo service would be the next step. Then adding additional currency support, and getting people to alpha test the service. I will also need a portal for account signups.
Access / Testing
The GitHub link includes the entire project. You will need a Mac with Xcode and Cocoapods to build. It's a private repo, but the address
contactxpring@ripple.com
has been invited to collaborate.
There is also a link to TestFlight beta test the app. This is a public link, so anyone can install.
There are several test accounts built into the app. They should have XRP balances.
You will need 2 iOS devices with the Hit Me Up app to test the P2P feature (see the video). To test the Buy feature, you will need an appropriately formatted QR code that represents an item (see the video). I included a QR code for the Circuit Mask in the DevPost pictures. To test the Tap feature, you will need a properly formatted NFC/RFID tag for the app to read (see the video). I can supply the format if you have the necessary hardware. For the demo, I used an Android phone that is capable of generating the appropriate NFC output.
Built With
bluetooth
faceid
ios
nfc
payid
qr
ripple
swift
touchid
Try it out
testflight.apple.com
github.com
bit.ly | Hit Me Up | Simple and fast personal payments with just a tap or scan on your phone. | ['Ed Arenberg'] | [] | ['bluetooth', 'faceid', 'ios', 'nfc', 'payid', 'qr', 'ripple', 'swift', 'touchid'] | 31 |
10,301 | https://devpost.com/software/indalama | Inspiration
Real-time payments combine speed, data and communication in order to execute a payment in a matter of seconds. They grant users immediate access to their funds and instant confirmation of their transaction while providing near instantaneous settlement finality.
What it does
live streaming payments using Universal ID via the users' browser of their choice
Overview
https://docs.google.com/presentation/d/1dKCVi5jEXsLNOiOPV6QvdVNI30pfi0qOw2t1tgv66HA/edit?usp=sharing
How we built it
This is work in progress, This is a demo and is not intended for production. Some APIs may change without notice. The code is proof of concept and is share here
https://github.com/smbale/indalama
Challenges we ran into
Can’t send or receive money with an app due to regulatory issues.
We had to link the app to existing exchanges and banks.
The app does not store any assets but acts as frictionless channel for secure streaming payments
You can only send money with an app in the US.
The following Google apps no longer support sending, requesting, or receiving money:
Assistant
Gmail
Contacts
Android Messages or iMessages
Connecting Google Pay to PayID is currently not available
UPDATE:
https://xrprightnow.com/ripple-partner-nium-integrates-with-google-pay-visa/
Accomplishments that we're proud of
payid generator was developed with internal GSuite For Business Appscripts
https://ripple-fintech.appspot.com/
Authentication is verified via GSuite for
https://mpelembe.net
At the moment we are only accepting internal accounts for testing
What we learned
money transfer should be free and fast but requires high level of security
an app is simply a community tool that can be improved by collaboration
What's next for indalama
Meeting Security, Authentication and Accessibility standards required by Google Play and Apple Store
Built With
css
html
javascript
php
python
Try it out
ripple-fintech.appspot.com
docs.google.com
github.com
github.com
twitter.com
www.bankofengland.co.uk | indalama | money is a browser token | ['Sam Mbale', 'Marlaw Enterprise'] | [] | ['css', 'html', 'javascript', 'php', 'python'] | 32 |
10,301 | https://devpost.com/software/block-monitor | Add Account - Screen 1
Add Account - Screen 2
Home Screen
Inspiration
Inspired by the desire to rest easy, knowing that my crypto is safe.
What it does
Block Monitor watches the blockchain, monitoring your addresses for activity. If your balance changes, Block Monitor sends you a push notification to your mobile device.
How I built it
Front-end: React Native
Back-end: NodeJS on AWS
Challenges I ran into
This integration was straightforward, thanks in large part to the helpful Discord channel and good documentation. For this integration, there were a few minor challenges. I look forward to some of the name verification services I have heard about being developed on Discord.
Decoding X-Addresses. This required installing some extra modules (buffer, assert) and a bit of trial and error to get working in React Native. Worth it though for the XRPL support.
Accomplishments that I'm proud of
Clean UX. We are happy with the UX, and how easy it is for users to import their crypto addresses using their PayID address. We were also impressed at how well the PayID brand colors match ours.
Simple integration. Thanks to the API docs and Discord support, this was a relatively quick integration which could add lots of value for our users.
What I learned
PayID is a simple, decentralized protocol that is easy to integrate for added user benefit.
What's next for Block Monitor
More partnerships and integrations
Built With
node.js
react-native
Try it out
block-monitor.com | Block Monitor | In 2019, over $4.4B in cryptocurrency was lost due to fraud and theft. Use Block Monitor to view all your crypto balances & receive a push notification if your balance changes. No passphrases needed. | ['Dylan Butler'] | [] | ['node.js', 'react-native'] | 33 |
10,301 | https://devpost.com/software/payid-dns | Inspiration
PayID acts primarily as a global cryptocurrency address-book. It has a secondary function of satisfying compliance requirements between exchanges. For its primary function, running HTTP/S servers is overkill. The world already has a massively decentralised address book for computers, it is called the domain name system.
Providing a secondary lookup path for PayID over DNS increases availability, reduces cost and prevents attack vectors.
What it does
Provides a signed PayID JSON payload in a TXT record on the domain as a secondary option for PayID lookups.
Challenges I ran into
XRPL supports regular keys / rekeying of accounts. In these cases the accountID cannot be derived from the current signing key. To avoid requiring a connection to a rippleD node these accounts are not supported. Only master keyed accounts are supported. Bitcoin and ethereum addresses are also supported.
The need for SSL PKI, see below.
What's next for PayID-DNS
After presenting / discussing with the PayID working group it was decided that PayID over DNS should support signing with regular SSL PKI. This is reasonably straight forward. I would implement it but I don't have time before the competition close, so here is how it will work:
Import full SSL certificate chain in
PEM
format into
TXT
records like so:
0._payid_cert.domain.tld
-> leaf certificate in chain,
1._payid_cert.domain.tld
-> second last certificate in chain,
n._payid_cert.domain.tld
-> root certificate in chain.
PayID-Sign
should be modified to allow an additional signature using the private key of the
0th
certificate in the chain.
Client libraries look for these TXT records and continue up the chain until they find common certificate that they already know about, or all the way to the root certificate if they don't.
If no certificate records are found or there is a missing certificate in the chain or the signature in the PayID payload is missing or wrong then PayID over DNS can still proceed, but end user-interface should display a warning to the user commensurate with level of severity of the issue. A wrong signature would be a severe warning, a missing signature would be a moderate warning, no certificates with no signature would be an informational warning.
If certificate chain is found and is in agreement with PKI on the user's machine and the signature on the payload matches then a green padlock icon should appear next to the PayID on the user interface.
Wildcard support
To help prevent unnecessary TXT record proliferation, I also propose to allow wildcard support in PayID over DNS.
The way this would work is as follows:
Specify a base public key
base_pub
and declare that as a wildcard address on a special record for example
btc-mainnet._payid_wildcard.domain.tld
. Sign this address as per above.
When a client library attempts to resolve an identifier such as
bob
in
bob$domain.tld
it first tries a regular PayID lookup, and failing that it looks for a wildcard entry as above.
It then hashes
bob
:
H = hash('bob')
It then uses a property of elliptic curves to produce a public key specifically for
bob
from a combination of this hash and the base public key:
bob_pub = base_pub * G^H
where
G
is the generator point for the EC and
*
is the group operator
This public key
bob_pub
can then be hashed to an accountID on the underlying network, and funds can then be sent to that address on the network.
To recover the funds the owner of the wildcard system simply performs the same hash over
bob
and then adds the hash
H
to the private key that corresponds to the base public key
bob_priv = base_priv + H
This would be useful for custodial wallets and corporates who have numerous employees and accounts to manage.
Built With
node.js
Try it out
github.com | PayID-DNS | PayID should be available over DNS and this is suitable for most users and use-cases, reduces costs to users, prevents attack vectors and increases availability | ['Richard Holland'] | [] | ['node.js'] | 34 |
10,301 | https://devpost.com/software/zeemz-the-versipisces-secret | Inspiration
Coming soon
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Zeemz: The Versipisces Secret
Built With
css3
ethereum
firebase
google-sites
html5
javascript
solidity
web3js
Try it out
www.zeemz.xyz | Zeemz: The Versipisces Secret | Zeemz: The Versipisces Secret is an augmented reality, blockchain game that teaches disaster preparedness through game play. | ['Monique Finley'] | [] | ['css3', 'ethereum', 'firebase', 'google-sites', 'html5', 'javascript', 'solidity', 'web3js'] | 35 |
10,304 | https://devpost.com/software/howigothere | Inspiration
Each of us are only one turn away from homelessness. Welcome to #HowIGotHere, the interactive experience that helps you understand homelessness on a personal level. Which path will you take?
When meeting the Bay Area Rescue Mission, our team resonated with the stark reality that the organization faces when working with its community. In particular,
There are 35,000 people experiencing homelessness in the city of Oakland alone
On average, most people claim homelessness by the age of 30 (which is within the very age range that we wish to reach)
60% of the Bay Area’s homeless population are women and children
90% of women will get sexually assaulted within the first 5 days of living on the street
Why We Chose an Interactive, Social Campaign
One main challenge BARM faces is a lack of involvement from Millennial and Gen Z populations. The typical BARM donor is in their 60s - this is a huge problem for a 100% donation-based organization. If the BARM is to continue long-term, they will need more donations from younger generations.
As the #BlackLivesMatter, #MeToo, and #MarchForOurLives campaigns have demonstrated, Gen Z and Millennials are not calloused to the idea of supporting a cause. However, to inspire these populations to act, you'll need to reach them where they are - and that's on social media.
How Millennials & Gen Z Use Social Media
People between the ages of 8-29 are heavy social media users, with 89% use social networking regularly
87% of millennials have shown desire to make purchases that have an environmental or social benefit
Interactive content generates conversations 70% of the time'
Thus, we decided that an interactive, social campaign that generated empathy among its users would be the best avenue to reach new donors for the Bay Area Rescue Mission.
What The Campaign Does
How I Got Here
is an interactive, social experience that's modeled after choose-your-own-adventure games.
The goal is to inspire empathy and urgency among Millennial and Gen Z populations, so they can join the fight to end homelessness. This project was inspired by and built for the Bay Area Resue Mission (BARM), a nonprofit that has provided food, clothing, and housing for its guests since 1965.
While the prototype was built with BARM in mind, this interactive experience can be utilized by any nonprofit that wants to spread awareness about homelessness and increase donations for their cause.
How We Built It
We built this user flow using Adobe XD and the illustrations were created with Procreate.
For our localhost web application, we built the back-end using JavaScript, Node.js, Express, and Handlebars, and HTML and CSS for the front-end.
Challenges We Ran Into
Some of the biggest challenges were finding the right balance between producing a high quality product in a short amount of time. On a more personal level, one team member was in a different time zone, so agreeing on times to meet and separating the work was also occasionally challenging.
Accomplishments That We're Proud Of
Throughout our experience, our team worked very well together. We were able to accomplish completing the video and deciding on the project, without many hiccups.
What We Learned
One important lesson that we learned is to challenge our assumptions about people who are homeless.
What's Next #HowIGotHere
Next, we will continue flushing out the build-out of the prototype and add more stories.
Built With
adobe-xd
css
express.js
handlebars.js
html
node.js
procreate
Try it out
github.com | #HowIGotHere | Each of us are only one turn away from homelessness. Welcome to #HowIGotHere - the interactive experience that helps you understand homelessness on a personal level. Which path will you take? | ['Kat Kime', 'Deanna Wardin', 'Johnnie Wagman', 'Kathy Marshall'] | ['Grand Prize'] | ['adobe-xd', 'css', 'express.js', 'handlebars.js', 'html', 'node.js', 'procreate'] | 0 |
10,304 | https://devpost.com/software/sf-resource-hub | Inspiration
We were really inspired by St. Anthony’s question: How might we provide people with up-to-date information so they can access essential services? It really resonated with us when we heard that St. Anthony’s was using google sheets to spread up-to-date information to those in need. Current information is of the essence since being homeless is a full time job where most people are travelling by foot and can’t afford to waste time, especially during the COVID-19 pandemic where regulations are in flux. So to tackle these issues, we built a mobile-friendly website for any organizations offering essential services to easily post & update information to an interactive map.
What it does
We built a minimum viable product using Django and Python that has pre-populated all the resources currently on St. Anthony’s googlesheet onto our interactive map that shows pins for each resource that each show an icon representing it’s categories (i.e. food or shelter), hours, associated urls, and notes for status updates like “this shelter has vacancy for 8/23”.
We also built a portal so organizations can securely login and easily create or edit resources.
How we built it
Python/Django, Google Maps API, Bootstrap, HTML/CSS, PostgreSQL, JavaScript
Challenges we ran into
Integrating the Google Maps API that included icons into our web app
Accomplishments that we're proud of
Map feature has specific icons for each of the resources provided.
What we learned
A lot!
What's next for SF Resource Hub
Resource-seeker log-in option to track favorites & send alerts
Translation Feature: Spanish/ Cantonese- Since 25% of resource seekers are Latinx & 13% are of asian descent
Calendar for easy scheduling-For both the NGOs & the resource seekers
Monitoring and data collection features for NGO's-for educating the public about needs and impact, and for making convincing arguments for policy changes
Scheduled emails prompting organizations to update resource information -to ensure the organization is keeping the info current/ or automatically deleting the resource if no action is taken after a period of time
Built With
django
google
python
Try it out
github.com | SF Resource Hub | Amobile-friendly website for any organizations offering essential services to easily post & update information to an interactive map | ['Rashmika Rashmika', 'Angela Arunarsirakul', 'Wendy Nie', 'Liliana Guerrero'] | ['2nd Place'] | ['django', 'google', 'python'] | 1 |
10,304 | https://devpost.com/software/skillsmatch-b9jz47 | Volunteer: Create account
Volunteer: Personalization
Volunteer: Personalization
Volunteer: Dashboard
Volunteer: Workshop description
Volunteer: Create new workshop
Volunteer: Profile
Volunteer: Sharing
Bay Area Rescue Mission: Workshop dashboard
Bay Area Rescue Mission: Create new workshop
Bay Area Rescue Mission: Workshop description
Bay Area Rescue Mission: Volunteer profile
Bay Area Rescue Mission: Suggested workshop
Bay Area Rescue Mission: Volunteers
Bay Area Rescue Mission: Volunteers - filtered
Inspiration
World Population Review estimates that there are over 422,000 individuals in San Francisco between the ages of 18 and 44. The interests and professions of this population run the gamut; from art teacher to bank analyst. Millennials and Gen Z bring tremendous diversity and experience to our city. In addition to their desire to succeed professionally, they also want to mobilize around causes they believe in and positively impact their communities.
Organizations that work with homeless populations often offer extensive job skills, vocational, and management training that allow individuals to develop new abilities and set themselves up for future success. However, these programs are at times restricted by the availability and expertise of facilitators.
SkillsMatch unites the supply and demand for skill-specific workshops. Professionals can develop programs related to their professional discipline or area of expertise, and organizations can request specific programs to supply their guests with the skills desired. This application connects the two sides with suggested or offered workshops and provides the organizational guests access to resume workshops, art classes, voter registration sessions, and dozens of other opportunities for professional and skills-based development. Furthermore, by connecting guests and volunteers, we hope that our app humanizes the issue and creates a personal sense of urgency to confront homelessness in our communities.
What it does
SkillsMatch is a workshop funnel which Bay Area Rescue Mission uses to engage volunteers more easily who wish to become involved in hosting workshops for developing skills in which they are experts. In addition to this funnel architecture, we provide integrations with social media platforms through which volunteers can share the workshops that they have hosted, and can share kudos with other volunteers and friends who engage with Bay Area Rescue Mission.
There are two broad categories of users in SkillsMatch. Driven by the desire to give to their community, individual volunteers can create profiles to offer workshops that meet their areas of expertise and skills. Organizations can request workshops that meet the needs and desires of their guests, ranging anywhere from art classes to voter registration.
Some users can include Alex, a local yoga instructor. Deeply interested in mindfulness and healthy eating, Alex hopes to offer courses to those who do not normally have access to such resources. Josie is an analyst at a regional bank that has recently developed a new financial literacy workshop. A colleague of hers recently facilitated a resume workshop at a local NGO, and suggested that Josie and the bank offer the new workshop at that organization as well. From the organization side, Seth is an outreach coordinator for an NGO. The guests at his organization have expressed the desire for interview prep, so Seth wants to connect with local professionals who can host sessions on communication skills and mock interviews. Each of these users will use SkillsMatch to connect with one another and organize skill-based workshops to increase the interaction with and benefit the guests.
How we built it
SkillsMatch was designed and demoed using Figma. The implementation of SkillsMatch centers around a simple API which uses the concept of a template for a workshop (known as a workshop) and an instantiation of that template (called a workshop Request). Workshop requests will be created and stored in a table which Bay Area Rescue Mission users will query for volunteers who wish to host workshops. These requests can either be based off of pre-existing workshop templates, or can be entirely novel workshop requests which the volunteer has asked to host. The Bay Area Rescue Mission user will have the capability to view workshop requests in their own dashboard, giving them access to information about the volunteers who have requested to host a workshop. They will also have the ability to add new workshop templates to the workshops table based off of workshopRequests they believe have promise.
Challenges we ran into
The main challenges that our group ran into mostly surrounded the problem of creating urgency through a tech-based solution. Eventually, we rested on the conclusion that urgency for helping the dispossessed can be created through their humanization and engagement with them. Our software needs to both facilitate engagement, as well as create urgency that did not exist prior to our users discovering the product.
Some specific mechanics that we implemented to foment urgency among our user base is the introduction of guest stories and social media integration. Guest stories provide a very real illustration of the people to which volunteers would be teaching workshops, as well as their motivations for becoming engaged with a given workshop. Social media integration allows our volunteers to share their Bay Area Rescue Mission engagement with their peers. Millennials are often motivated by the ability to share volunteer or activist activities among their social circles, and the support of these mediums will encourage sustained engagement.
Built With
express.js
figma
node.js
postgresql
react
typescript | SkillsMatch | SkillsMatch is a workshop funnel which Bay Area Rescue Mission uses to engage volunteers more easily who wish to become involved in hosting workshops for developing skills in which they are experts. | ['Phillip Barber', 'Elise Diskin', 'Nicholas Chandler', 'Eoin Lyons'] | ['3rd Place'] | ['express.js', 'figma', 'node.js', 'postgresql', 'react', 'typescript'] | 2 |
10,304 | https://devpost.com/software/nurture-neighbor | Inspiration
From our research, we found that the overwhelming majority of Millennials are interested in supporting social causes. And while many of them live in cities and witness the homelessness crisis first hand everyday, only a few actually contribute towards helping this issue.
In our survey, we found that the lack of contribution comes from:
Not knowing enough about the crisis - how bad it is? how it affects individuals?
Not knowing how to help
Knowing that this is a special, non-traditionally philanthropic group of people, we racked our brains for ideas. How do we position the cause and bring it closer to millenials? How can we empower them to take action immediately and for the long term too?
To bridge millennial’s desire to join in the cause, we made helping to be highly engaging, interactive and motivating. Our approach is to gamify participation in fighting the homelessness crisis.
What it does
Our game encourages users to take on challenges like learning, sharing, donating, and volunteering to help their neighbors in need. By applying the gamification methods of leveling up, badges, and leadership board, users are motivated to continuously complete the challenges. Our symbol of growth is a flower, as with any real plant or a social movement, you need to keep the momentum or it will die out. We nudge our users by showing their flower wilting if they have not completed any challenge in a while.
We believe this game will not only encourage Millennials to take part in the fight against homelessness but also become a continuous ally in the long term.
How we built it
We started out with rough sketches of how the app could work and look, and an outline of the content inspired by a talk with the NGO Bay Area Rescue Mission. High-fidelity mockups and user flows of the key moments in the journey were created using Figma. The actual site is built using HTML5, CSS, javascript and Flask, a lightweight WSGI web application framework to rapidly get our site up and running. We planned for our game to be web-based so that it could be accessible across platforms and easy to expand for more challenges and features in the future. The game offers a checklist of simple and effective ways to help.
Challenges I ran into
We spent the first 6 hours going back and forth on many ideas and decided on a semblance of a solution.
We took a break and half the team started working on the prototype.
When we came back, we realized the "solution" we decided on was merely a social media kit + some incremental change to existing content. This was not something we were excited nor proud of. Most importantly, we didn't think it would solve the issue and make a lasting impact. We realized we could push the envelope further and actually create value through a platform.
Accomplishments that we are proud of
After the realization that the solution we worked on for hours was not a viable one, we only had 1 hour before our meeting with Stephanie from Bay Area Rescue Mission.
A major brainstorm session took place and within 20 minutes, we came up with this game.
We knew it was the right idea because of the amount of excitement that continued to build. Everyone was throwing out suggestions for the game and we collectively lit up.
We had the call with Stephanie a few minutes later and her validation fueled our motivation even more.
By then, we were equipped with validated assumptions resulting from our survey, we had acclimatized into the persona’s mindset, and were ready to create a valuable product.
What we learned
Hackathons are hubs of creativity and the perfect place for innovative solutions to long standing problems. Sometimes we just need a kick in the butt to really make a difference. - Anh
Our call with Stephanie was enlightening. Her anecdotes shed light on heartbreaking and inspiring interactions with the homeless. Our hack aims to motivate users to learn about the plight these people face and take action. (Kashvi)
Sidney
Kat
Francine
What's next for Social Hackers
Adding more levels and functionality to our prototype
Promoting our app into the
Built With
css
figma
flask
html
javascript
Try it out
drive.google.com | Nurture Neighbor | Nurture Neighbor encourages users to take on challenges like learning, sharing, donating, and volunteering to help their neighbors in need. | ['Anh Nguyen', 'kashvi Lalgudi'] | [] | ['css', 'figma', 'flask', 'html', 'javascript'] | 3 |
10,304 | https://devpost.com/software/get-involved-at-bay-area-rescue-mission | Inspiration
We were inspired by the touching presentation given by Bay Area Rescue Mission. We each had our own individual goals going into the hackathon (involving learning new skills, etc) and wanted to channel our enthusiasm into something productive for our client. We looked at trends between millennials and Gen Z, then used our peers' feedback to create something that generated greater awareness/actually interested this target audience. Our push to create a solution for our client caused us to really think about what would be impactful, and we wished to make a difference.
What it does
We made a website where Millenials and Gen-Z can find ways to get involved in homelessness, while developing their professional skills. Millenials working in tech can join corporate events that involve interacting with people who have experienced homelessness. Gen-Z will get involved by becoming an ambassador--- volunteering and sharing about it on social media with give them leadership and professional skils. Interacting with homeless people and humanizing them will create a sense of urgency and feel the need to become advocates for homeless in the future.
How we built it
We conducted surveys and user interviews to understand better what Millenials and Gen-Z know about homelessness. We also asked them how they would like to get involved. We made a clickable Figma prototype to demonstrate the functionality of our website concept.
Challenges we ran into
We had a lot of different ideas, and it was difficult to close in on one. Even with so many ideas, we wanted to ensure that the one we chose would have a real impact. This took extra brainstorming, and we even had to scrap a prototype that we were well on our way making. We also had to hone in on millennials and genZ separately, making sure we adhered to both needs; they were two audiences with were similar, yet required a different thought process. Lastly, the time differences (east vs. west coast) changed the times in which we all could work on the project as a whole team, and have constant feedback.
Accomplishments that we're proud of
We were able to create the framework for new programs that could work in generating awareness in different ways. We were able to take both Gen Z and millennial perspectives into account, as we laid out a plan for both an ambassador program and a more sophisticated corporate sponsorship program.
What we learned
Ideas need to be thought out carefully, as projects that are done with little impact are of no use. There needs to be a longer lasting goal, which can only be met if we challenge our current plans instead of settling for another.
What's next for Get Involved at Bay Area Rescue Mission
Get Involved will become more populated with different sponsorship programs, as well as features from new ambassadors. There will be another outlet to resources, which speaks more to the younger population; social media is emphasized and there are greater incentives to get involved as ambassadors will feel more like employees rather than one-time volunteers.
Built With
figma
Try it out
www.figma.com | Get Involved at Bay Area Rescue Mission | How to get millennials and Gen Z involved? Here, we re-invent classic volunteer programs and corporate events into ones that will spark interest with added incentives and more defined goals. | ['Ramona Arora', 'Logan Carter', 'Danyan Qian', 'lejessica2000 Le'] | [] | ['figma'] | 4 |
10,304 | https://devpost.com/software/homeless-connect | Here is a logo that inspired us.
We solved Bay Area Rescue Mission as well as St Anthony's goals. There is a need to help the homeless with accessing resources in the city, and we have developed a website that has up to date consolidated information on the organizations. It also has millennial volunteers available to help the homeless find their resources while building lasting relationships between the volunteer and the clients.
Here is our video in google drive:
https://drive.google.com/drive/folders/1A-HI9j2z1SEguLdxTpuY4rpYIWSZwey3?usp=sharing
Built With
css
firebase
googlesheets-api
html
javascript
node.js
Try it out
github.com | homeless connection | Quick updates on organizations, millennial advocates | ['Julia Susser', 'Rebecca Susser', 'Leo Susser'] | [] | ['css', 'firebase', 'googlesheets-api', 'html', 'javascript', 'node.js'] | 5 |
10,304 | https://devpost.com/software/online-shopping-for-coalition-on-homelessness | Coalition on Homelessness is currently using Google Forms to take in orders, this is not very secure and people do not feel comfortable putting their credit card on a Google Forms, especially on a site that's not protected over SSL.
So we built out shopify online ecommerce system for Coalition on Homelessness, this takes care of products, inventory, social media, and analytics. We will be able to hand over the project to them after the hackathon and having this being deployed in their system. Currently it is already on the site for
http://www.cohsf.org/
under the menu Store
Built With
javascript
shopify
Try it out
coalition-on-homelessness.myshopify.com | Online Shopping for Coalition on Homelessness | Online Shopping for Coalition on Homelessness | ['Cher Lee', 'Sarah Han', 'Peter Ma'] | [] | ['javascript', 'shopify'] | 6 |
10,305 | https://devpost.com/software/tempest-awycgp | Home Page
Storm Dashboard
Predicted Damage Probability Map
Predicted Monetary Damage Map
Embedded Hurricane Map
Hurricane Monetary and Severity Predictions
Upload Before and After Image
Predicted Damage Visualization
Example Damage Visualizations
Inspiration
As millions of people suffer throughout the nation from the sweeping problems of Natural Disasters, our team has reflected on how we might assist the people who lose anything and everything. These storms are responsible for the losses of billions of dollars in and thousands of lives.
Our team was determined to
severely mitigate
the losses generated from storms by predicting the costs and impacts of them. In order to have a
civic
impact, we wanted to help communities and governments adapt and more effectively respond to weather disasters. We wanted to become
civically engaged
in our government and community, and we realized providing software to solve massive problems was the best way to do so, especially during quarantine. We hope our solution will bring together the overarching national community of citizens affected by disasters and encourage government, crowd sourced planning to combat these detrimental effects.
Thus, we took a unique approach from the common hackathon project.
Instead of creating an application meant for general use, we developed an application specifically for state and city governments. We plan to implement our software as part of a nationwide government plan to promote smarter disaster response and efficient planning. Instead of having a grassroots approach to helping the community, we believe using the government’s platform is the best method of outsourcing our solution. Since governments often utilize outside developers to build applications, we believe our website fills a normally unoccupied niche, and projects like this should be encouraged in the hackathon community.
Thus, we developed Tempest, an application that uses ML to allow governments to prepare for storms and disasters by providing visualizations and predicting important statistics.
What it does
Tempest is a unique progressive web application that lets users and governments predict the outcomes of natural disasters. Using web scraped data, we were able to predict where storms would end up causing most damage and create interactive visualizations to aid the process.
We first developed a tornado model, which can predict the probability that a tornado does severe damage as well as the monetary value of the damage. We trained our model on data from NOAA, which contains tornado data such as wind speeds, duration, and azimuth values. Our model then outputs a magnitude probability from 0 to 1, with 0 being no impact and 1 being devastating. In addition, our model also predicted the monetary damage from each storm in dollars. We trained our model using
AI-Fabric from UiPath
, allowing us to train all our models at fast speeds. Our map includes completed tornadoes from Sept. 2019 to July 2020, and we also predicted tornadoes from the upcoming month of August since data exists for it. We exported all our map data by month from our python model, and from there we fed it into a map visualization we found through insightful documentation. This allows governments to adequately prepare for disasters and speed up recovery and minimize costs.
Even more dangerous than tornadoes are hurricanes. We embedded a map of upcoming hurricanes from the website LivingAtlas.org. We then used our tornado model and retrained it on this hurricane data. More importantly, our model takes the information and outputs both the magnitude of the hurricane on the Saffir-Simpson Hurricane Wind Scale, which classifies hurricanes on a scale of 1-5, based on data such as wind speeds and temperatures. We displayed the three upcoming hurricanes in the US. Additionally, we also output how much monetary damage each of the upcoming hurricanes will cause along with a satellite image of the storm, allowing residents and local governments to allocate proper funds and shelter themselves as much as possible.
Hurricanes can often produce floods that can ravage and destroy communities. Understanding how floods will cause damage allows communities to rebuild faster, reducing costs and time without a home. Thus, we developed a Style Transfer model that allows city planners to prepare for the aftermath of floods, which can visualize the damage in a location due to a flood. City planners will upload an image of the location before and during the flood, and our algorithm will predict the damage to the location and output a picture of what the damage will look like. The model finds commonalities in the images and keeps outstanding features from the flood image in order to properly display the damage. We deployed a portion of this model on our website to test, as the entire model couldn’t be deployed due to size. With this information at hand, city planners can swiftly respond to floods and prepare for the aftermath of disasters.
How we built it
After numerous hours of wireframing, conceptualizing key features, and outlining tasks, we divided the challenge amongst ourselves by assigning Ishaan to developing the UI/UX, Adithya to connecting the
Google Cloud
backend and working on implementing the interactive map features, Ayaan to developing our hurricane and flood models, and Viraaj to developing the tornado model and implementing and retraining the hurricane model.
We coded the entire app in 6 languages/frameworks:
HTML, CSS, Javascript
,
R
,
Python
(Python3 /iPython), and
Flask
. We used
UiPath
for training our algorithm. We used
Google Cloud
and
PythonAnywhere
for our backend. We developed our interactive maps using
HTML
and
R
, and embedded weather websites using web scrapers. We deployed part of our PyTorch model on PythonAnywhere using
Flask
. We hosted our website through
Netlify
and
Github
.
In order to collect data for these models, we developed web scrapers. We created a web scraper to scrape live-updating weather websites. For our home page, we got data from the NOAA. For our hurricane model, we collected previous data from Medium and webscraped for upcoming data using
Arcgis
. For our aftermath algorithm, we were able to deploy a version on PythonAnywhere which takes the two input images and creates an aftermath image. However, since we don’t have access to a cloud GPU, creating the image takes a while each time, so we didn’t completely deploy it.
Challenges we ran into
The primary challenge that we ran into was developing our geographic models. Since the data was very complex and requires cleaning, we weren’t sure how to start. Luckily, we were able to do enough EDA to understand how to develop the models and utilize the data. Training these models was also a huge challenge, and we saw that it was taking a long time to train. We luckily found
AI-Fabric from UiPath
, which allowed us to train our models easily in the cloud. While we were not able to deploy our models, as they are too large to deploy on free and available servers, as long as governments give us images and data, we can give them cost predictions.
Accomplishments we are proud of
We are incredibly proud of how our team found a distinctive yet viable solution to assisting governments in preparing and responding to disasters. We are proud that we were able to develop some of our most advanced models so far. We are extremely proud of developing a solution that has never been previously considered or implemented in this setting.
What we learned
Our team found it incredibly fulfilling to use our Machine Learning knowledge in a way that could effectively assist people who may lose their homes and livelihoods. We are glad that we were able to develop a wide range of predictive and generative models to help a vast range of people. Seeing how we could use our software engineering skills to impact people’s livelihoods was the highlight of our weekend.
From a software perspective, developing geographic models was our main focus this weekend. We learned how to effectively combine web scrapers with machine learning models. We learned how to use great frameworks for ML such as
UiPath
and transfer learning. We grew our web development skills and polished our database skills.
What is next for Tempest
We believe that our application would be best implemented on a local and state government level. These governments are in charge of dealing with hurricanes, floods, and tornados, and we believe that with the information they acquire through our models, they can take steps to respond to disasters faster and more effectively.
In terms of our application, we would love to deploy our models on the web for automatic integration. Given that our current situation prevents us from buying a web server capable of running the aftermath model frequently, we look forward to acquiring a web server that can process high-level computation, which would automate our services. Lastly, we would like to refine our algorithms to incorporate more factors from hurricanes to more accurately predict damages.
Our Name
Tempest is a creative synonym for wind related storms.
Built With
css
google-cloud
html
javascript
python
r
Try it out
tempestai.tech
github.com | Tempest | Using ML to prepare for storms and disasters | ['Adithya Peruvemba', 'Ayaan Haque', 'Ishaan Bhandari', 'Viraaj Reddi'] | ['1st Place Overall', 'Third Place', '1st Place'] | ['css', 'google-cloud', 'html', 'javascript', 'python', 'r'] | 0 |
10,305 | https://devpost.com/software/signtelligence | Inspiration
Sign language is a set of predefined actions and movements used to convey a message. These languages are the only way for the over 70 million deaf and severely verbally challenged people worldwide to communicate. Sadly, few non-deaf people know sign language and over 80% of deaf people are from developing nations, meaning that they usually don't have the resources or support to learn sign language. Fortunately, with
the drastically decreasing prices for smartphone and internet usage
, technology could be used to break this barrier of communication, especially in these poorer nations.
What It Does
Our app, Sign Telegence, has features allowing users to learn sign language using VR and interactive quizzes, as well as a way to translate sign language to audio and audio to text for two-way communication between a deaf and normal person. Look at our video demo above for more details.
How We Built It
We used PyTorch and
this dataset from Kaggle
in order to train a neural network to accurately predict over 35 signs. We then created an iOS app using Swift and XCode and deployed the model so that it translates a hand gesture into text, which is articulated by a virtual assistant, all in real-time. This allows both deaf and non-deaf users to communicate with each other and even self-learn these complicated gestures easily and interactively with instant feedback. This was achieved in real-time by passing every frame of a live video as an image into our neural network. We created the quiz and speech recognition features of the app using Swift and XCode as well. We used echoAR to build the VR portion of our app, which provides yet another hands-on way to learn different gestures.
Challenges We Ran Into
Importing the PyTorch model into the format XCode requires was the most difficult and time-consuming part of the project, due to the poor documentation and lack of online resources.
Accomplishments That We're Proud Of
We're proud of finishing a complex project in such a short amount of time and hopefully making an impact on the verbally-challenged community.
What We Learned
We learned how to export PyTorch models to XCode and implement VR tools in iOS apps.
What's Next For Sign Telegence
Hopefully larger sign language datasets will be created, so we can retrain our model and classify a wider variety of gestures. We also plan on improving the user interface to make it more aesthetically pleasing for our users.
Built With
coreml
echo-ar
fastai
python
pytorch
swift
Try it out
github.com | Sign Telligence | Teaching and Translating Sign Language using AI and VR | ['Agnik Banerjee', 'Shreeniket Bendre'] | ['2nd Place Overall', 'Best Use of EchoAR', '2nd Place'] | ['coreml', 'echo-ar', 'fastai', 'python', 'pytorch', 'swift'] | 1 |
10,305 | https://devpost.com/software/coradicator | GIF
GIF
The 3D layout of the bot.
Our Apps
Our Bot
Coradicator
A smart robot that is built with UV-C lights to eradicate the coronavirus laying around.
Introduction
Coradicator is a room disinfection device based on Ultraviolet-C radiation. It offers the capacity to be remotely programmed using an Android mobile device and it has an infrared detection security system that turns off the system when triggered.
The system here described is easily scalable to generate higher ultraviolet dosages adding more UV-C lamps. This device has very high effectiveness to eliminate high bacterial inocula
The sanitizing method employed by this device affects a very wide range of microorganisms and it has several advantages of respect to chemical based-sanitizing methods
This device represents a secure, fast, and automatized equipment for room disinfecting. The device is configured in less than three minutes and it does not require continuous monitoring.
Theory
Since the last years, mobile systems based on UV-C radiation have been used for cleaning and disinfecting hospitals. The contribution of this equipment to the conditioning of hospital areas makes these systems useful for other kinds of spaces that require periodical disinfecting.
UV-C radiation inactivates microorganisms causing DNA damage by producing cyclobutane pyrimidine dimers (CPDs), altering DNA structure, and thus interfering with DNA replication.
According to the World Health Organization Global Solar UV Index, the UV region covers the wavelength range from 100 to 400 nm and is divided into three bands:
UV-A (315–400 nm)
UV-B (280–315 nm)
UV-C (100–280 nm)
UV-C light, which is absorbed by the atmosphere, represents the most lethal wavelength for a wide spectrum of microorganisms. The maximum germicidal power of the ultraviolet radiation is at wavelengths near 260 nm and it drops dramatically below 230 or above 300 nm.
Hardware Description
We have constructed a UV-C radiator device that includes a microcontroller board, an Arduino UNO board.
For controlling the robot and the UV lights we are using the Bluetooth module HC06.
For live camera feedback to the controller, we are using the ESP32 Camera Board to get the live video feedback so that we can control it outside the room.
In addition, the equipment can be operated from a wide range of Android mobile devices with suitable screens and processing capacity (tablet, cell phone, etc), taking advantage of the ubiquity of these devices, and lowering the cost of its construction.
Build of the UV-Bot
The construction of the device involved three stages:
Structural building
Electronic assembling
Programming of the microcontroller and the mobile application
The scaffold structure was made by attaching to a central column four holders for UV-C germicide lamps, connected in parallel. The central column was placed on the bot which has four wheels for locomotion.
The control unit is based on an Arduino UNO board; this gives the order to the switch to turn on the UV-C lamps using an electromechanical relay. An HCO6 Bluetooth module is used to communicate with the board using Bluetooth devices.
Three LEDs were installed to indicate its functional estate:
Connected to the electric supply (green LED)
Bluetooth connection established (blue LED)
UV-C lamps activated (red LED)
The red LED is combined with a passive buzzer to start a warning sequence just before the activation of the UV-C lamps. Because the UV-C radiation is harmful to humans, a PIR sensor was added as a security measure. In this way, the device is automatically turned off when a user is near.
The ESP32 Camera is attached to the front part of the robot which will send the realtime live video to the controlling app so that the person who will be controlling the bot.
Finally, a mobile application was developed to control the disinfecting unit.
This app was designed using the MIT app inventor 2 tools.
The interface of this application is used for connection to the device via Bluetooth, and for controlling the robot wirelessly.
The Robot
Working
The dosage values can be used to estimate the required exposure time according to the following simplified method:
The UV-C dosage received by surface unit (D, expressed in J/cm2) at a given distance (r) from the sanitizer, depends on the power of the emitted UV-C light (P, equal to 48W for our device) according to this equation:
D = (P.t) / (2π.L.r)
Where L is the length of the UV-C lamps (89 cm) and t is the exposure time expressed in seconds.
Based on this equation, the exposure time can be calculated as follows:
t = (2π.L.r.D) / P
Using this method, a tool to estimate the minimum exposure time to reach the desired dosage for a certain distance from the device was developed and is available in the initial screen of the app controlling the device.
The Schematics for the UV Light
Now coming to the driving part.
The driving is done through the mobile app through Bluetooth. The realtime video helps the driver to control the bot from another room so that UV rays will not harm him.
Further, we are planning to make the bot completely autonomous using ROS.
The Schematics of the Bluetooth Control
The Controlling App
Conclusion
A UV-C room disinfection device was made with similar functions to proprietary commercial systems. The presented model can be easily scaled up, modifying its structure (adding more UV-C lamps) and programming (editing the open-source code of the Arduino board and/or of the Android application), achieving savings for more than 80% respect to the price of similar proprietary commercial equipment
Resources
Full Video:
Click Here
Short Video:
Click Here
Documentation:
Click Here
Presentation:
Click Here
UV Light App:
Click Here
Controlling App:
Click Here
Built With
arduino
c++
mit-app-inventor
Try it out
piysocial-india.github.io
github.com
github.com
github.com | Coradicator | Corona + Eradicate = Coradicator ! | ['Saswat Samal', 'Saswat Mohanty', 'PIYSocial', 'Sanket Sanjeeb Pattanaik'] | ['3rd Place Overall', 'Best Design'] | ['arduino', 'c++', 'mit-app-inventor'] | 2 |
10,305 | https://devpost.com/software/school_pi_safe_flarehacks | Zoomed in picture of Attendance Camera.
Social-Distancing Camera
Motor for opening door
Zoomed in picture of motor
Camera for Facial Recognition
Pi for Motor and Attendance System.
Pi for Social-Distancing-Detector
School_Pi_Safe_FLAREHACKS
Our project for the Flare Hacks Hackathon.
Inspiration
As the schools were reopening, we thought that it would be nice to create something to help them.
How we built it:
We made our program by first training our own models, and then we tried to look for open-source models that would help us. After that, we developed software for the models, then we added the necessary hardware materials.
Challenges Faced
Our custom trained model required a lot of fine-tuning of the dataset. The computer that we ran the software and hardware on, the raspberry pi, was kind of slow to handle all of the computations needed for the code to run. So, we had to use the NCS stick to handle the computations. The motors did not work at the beginning when we tested it, so it required us to think out of the box to use at-home materials to make it work.
What we learned
How to train a custom model.
How to perform recognition of humans in Computer Vision.
How to play sounds in Python.
How motors can run on the raspberry pi.
Math for detecting the distance between two people.
Google Slides Presentation:
https://docs.google.com/presentation/d/1wEzzoh1zdz_oQkptc5EtloV4pYX8mtjLQbmMGks9cgg/edit?usp=sharing
Built With
caffemodel
camera
math
ncs-stick
numpy
opencv
pandas
python
raspberry-pi
scikit-learn
smtplib
Try it out
github.com | School_Pi_Safe | Our project for the Flare Hacks Hackathon that helps schools by automating attendance and opening doors, while also making sure that the students are social distancing. | ['Srinivas Sriram', 'Abhisar Anand', 'Milan Behera', 'Aditya Anand'] | ['Best COVID Hack'] | ['caffemodel', 'camera', 'math', 'ncs-stick', 'numpy', 'opencv', 'pandas', 'python', 'raspberry-pi', 'scikit-learn', 'smtplib'] | 3 |
10,305 | https://devpost.com/software/no-test-no-problem | COVID Positive ID
COVID Negative ID
COVID-19 Positive
COVID-19 Negative
Convolutional Heap Map
Inspiration
With COVID-19 tests being carefully rationed out and there being multiple scarcities, patients may not have access to a traditional test. Our software can diagnose a patient purely on a CT scan, eliminating the need for single use tests. We used the COVID-19 Lung CT Scans by LuisBlanche on Kaggle.
What it does
Our web app has a form for submitting patient data and uploading a CT scan image. We then pass the pixel data to our server, which runs several Tensorflow models. We then take the average confidence of all the models, and return the prediction to the browser. You can test it with the CT Scan images in the Devpost Gallery.
How I built it
We built 8 Deep Learning Models with Tensorflow and Keras that integrate convolutional neural network architecture and was trained using K-fold Cross-validation, in order to make best use of a limited dataset. Our model achieved nearly 90% accuracy, allowing hospitals to use this as a tool to diagnose patients when resources are limited.
Challenges I ran into
Over the course of this hackathon we were able to create a data model which achieves nearly 90% accuracy, one issue we had was not having a powerful enough processing unit to train the model from the start of the competition. We started using a NVIDIA V100 GPU to train the model on Google Cloud Platform. Given a better processing unit from the start and more time we would've been able to achieve greater accuracy, however we still manage ~90%.
Accomplishments that I'm proud of
We used a NVIDIA V100 Graphics Processing Unit on Google Cloud Platform in order to train our models. We were also able to finish this entire project in 24 hours.
What I learned
During the course of this hackathon we were able to learn and use Django to correctly link up the website wherein a user has to upload a CT Scan to the back-end data model which can predict whether a patient has Covid-19 or not.
What's next for No Test No Problem
We plan to add a database structure to hold patient and prediction data. We hope that this functionality will make our app more appealing to healthcare professionals.
Built With
css3
django
google-cloud
html5
jquery
keras
python
tensorflow
Try it out
github.com
www.notestnoproblem.live | No Test No Problem | We made a web app that utilizes machine learning to classify CT scans of lungs for COVID-19 and store patient data. This might be the difference between life and death if you cannot get a real test | ['Mohit Chhaya', 'Kabir Pathak', 'Pranish Pantha', 'Maanav Singh', 'Sachet Patil'] | ['Best Business Potential'] | ['css3', 'django', 'google-cloud', 'html5', 'jquery', 'keras', 'python', 'tensorflow'] | 4 |
10,305 | https://devpost.com/software/doge-mq5ga4 | Inspiration
We wanted to something that has never been done before. So we decided to teach a dog how to play music.
What it does
Using a rewards based system, it rewards a dog who pushes the touch pads, giving him a treat. Each touch pad coordinates with a sound, which, when played together, play the sound of victory.
How We built it
We created three touch pads, which each send signals back to a micro controller. The micro controller parses through the data, detecting whether a touch pad has been touched. If it has, it sends a signal back to our python program, which then plays a sound which coordinates with that specific button. If the dog plays the buttons in order, a servo motor opens, releasing treats.
Challenges We ran into
Completing a hardware project online is very challenging. Good explaining skills are needed, and frustration has to be diminished. There were some annoying problems that occurred with APIs
Built With
esp32
python
Try it out
photos.app.goo.gl | Doge | Teaching a dog to play music. | ['Mighty Monoprice', 'Christopher Morales'] | [] | ['esp32', 'python'] | 5 |
10,305 | https://devpost.com/software/flarehacks2020proj | We had a lot of fun building this project. While we ran into some difficulties with the layout and working with Flask, we were eventually able to build something we are really proud of.
We used mainly Flask, HTML, and CSS for our website. We used Mongo DB for the backend.
We also implemented a filter system to that managers can easily view feedback filtered by name or feeling.
Built With
css
flask
html
javascript
python
Try it out
github.com | Magnetize - Contact, Connect, and Communicate with your team | A managing tool for businesses during coronavirus. | ['Vincent Aquino'] | [] | ['css', 'flask', 'html', 'javascript', 'python'] | 6 |
10,305 | https://devpost.com/software/hackermatch-hke7qy | Inspiration
For many hackathons, we have had trouble finding new teammates to fit our interests and abilities to work with. The DevPost system of finding a hacker that was looking for a team, and then emailing, and usually waiting weeks for responses, only to hear that the hacker was with another team. Because of the tedious process of making teams, we wanted to create a platform that connects hackers quickly through an easy to use mobile app that acts similar to Tinder. You swipe on hackers' profiles depending if you like their skillset, and you are matched with a team to fit your needs.
What it does
Our app serves to connect Hackers and form teams for Hackathons by connecting users with similar interests and abilities. To register, the user gives some identification and also fills out a short survey. Then, the results of the survey are passed into an algorithm where the backend matches users with similar interests and technological abilities, making the best matches possible. The best matches show up on the users swiping page, where the user can swipe right to indicate a pass, or swipe left to indicate a match. For a match, the user's information and the match user's information are sent to the backend, where they are combined to form a team. Then, a team forms on the team page and users can connect with each other through their discords. Basically, its like Tinder but for matching hackers into teams of a certain size.
How we built it
The frontend was built with Flutter. We chose Flutter because it is easy to work with, gives excellent widgets essential for the app's swiping functionality, and easy to integrate with the backend. We used two backends to hold user data: Firebase and MongoDB. The user's information was stored in both, however Firebase was used to call the user information directly from the app, and that information was passed into http post requests to the backend, where the actual matching happened.
The main backend was a database hosted on mongodb atlas and the matching algorithm and access methods were implemented on GCP using google's serverless functions.
The algorithm works basically like Tinder, except instead of making pairs it forms teams of multiple people.
The lists of users shown are first filtered by some of the user entered factors, for example some hackers may not want to be in a mixed gender team, and some hackers may not be comfortable in a team with all newcomers or all experienced hackers.
We then sort based on some key indicators such as
what the main aims of the hacker are at the hackathon
how comfortable they are with new technology
how focused they are on the area they chose
how open they were to choosing a different idea if they already had one
etc.
When matches are mutual, they get grouped into teams which then can be seen by users.
Challenges we ran into
Making an abundance of users was tedious because we had to fill out information and take the survey for 15+ users, since we wanted a diverse array of users to be matched according to their interests. We also had a bit of trouble communicating between our front end and backends, since for firebase and mongoDB, we used slightly different formats to store the user data.
Accomplishments that we're proud of
We were able to complete our product. We also were proud to seamlessly integrate the two backends together and connect them to the frontend.
What we learned
We learned that using two backends instead of one when communicating with Flutter is much easier than the one mongoDB database. We learned how easy it was to use firebase with Flutter, and we will be using it much more often in the future.
What's next for HackerMatch
We want to extend our service for multiple hackathons, and not just for the single hackathon that is currently available for our app. We want to make some kind of menu where you can sign into your DevPost account, and from your hackathons, choose teams using our app.
Built With
flutter
google-cloud
python
Try it out
github.com | HackerMatch | A platform to connect hackers and form teams for Hackathons! | ['James Han', 'Muntaser Syed'] | [] | ['flutter', 'google-cloud', 'python'] | 7 |
10,305 | https://devpost.com/software/pdfiller | Home Page of the website
A demo page of the auto PDF filler for a drivers license
About page of the website
An example of the result of a driver license pdf
Inspiration
Our inspiration was seeing that some people have trouble filling out forms online using complicated word processors. Also, many people may not have a printer and scanner. With PDFiller, these forms will be automatically filled and automatically saved onto your computer with no further complications. Our goal is to simplify the process of online form filling.
What it does
Our website/program allows users to automatically fill out pdfs such as forms and applications. It could also be used by businesses to automatically fill out business cards, id cards, credit cards, or a number of other things!
How we built it
We used CSS and HTML for the webpage and used python/flask to create the script.
Challenges we ran into
Some challenges we ran into was allowing the user to use certain unique pdf files that our script sometimes could not detect/fill out. Additionally, we had really never used html or css before, so it was difficult at first. However, after a little time spent learning, we were able to use this knowledge to overcome this challenge.
Accomplishments that we're proud of
Accomplishments that we're proud of is getting the python script to work successfully on the webpage and to return a filled out pdf file.
What we learned
We learned how to use HTML, CSS, and how to use python scripts on webpages. We also learned a lot of about flask and web servers. We even learned about pdf files, because our product is reliant on them!
What's next for PDFiller
We would like to expand PDFiller to allow it to autofill more types of documents in the future other than just pdfs. We also want the user to be able to upload their own pdfs and documents. Lastly, we would like to have default templates for certain forms and to allow the user to create a profile and have their information saved.
Built With
css
html
python
Try it out
repl.it | PDFiller | Auto PDF filler | ['Jerry Li', 'dominic-arok'] | [] | ['css', 'html', 'python'] | 8 |
10,305 | https://devpost.com/software/swiftsaver-6pmgj5 | Inspiration- Our inspiration came from looking ahead at our futures in college. After living with our parent for 18 years, college is the place where you gain responsibilities and become independent. One responsibility that can be hard for many college students is saving. Most students in college are going to be working at a job to help pay off the expenses of college, and many people struggle with how to spend and distribute their money. We tried to help college students understand their financial responsibilities.
What it does
SwiftSaver is an application where users, particularly college students, get a chance to gain better control and understanding of their finances. Our app provides great tips and tools to help you become more aware of your expenses. We learn how you spend your money with a series of questions in our user info page. After you submit your answers, head over to the calculator page to get a comparison of how you currently spend your money every month and how you should spend your money every month.
How we built it
We built our program by using Python and tkinter for the GUI. In our AP Computer Science Principles class last year, we developed new and creative ways to make a GUI look more aesthetically pleasing and we incorporated that into our program too. We made our logos and subpage banners using google draw and importing the png file into our GUI. We had to first come up with an algorithm to make the window and once we got that, we made new functions for every page by using the Toplevel function to "redirect" the user to the page of their choice. We created our tips page by creating individual labels that read each of the 10 tips. The User Info page was created by using the label and entry functions where each question would be represented through the label and the entry would go along beside it. After the user fills out the questionnaire, they click the save button which saves all of the answers in a csv file which is later retrieved in the calculator page. The calculator page asks the user for their monthly income and savings and determines what how much you should be spending based off of your answers. We split the goals up of how much you should distribute to necessities, wants, and savings. We take the total income and a twelfth of your savings and multiply them by certain .5 (necessities), .3(wants), .2(savings) so that you should be aware of how you should spend your money. Then we give a side by side comparison for your current spending habits and it lets you know what you need to improve on spending-wise. It does this by retrieving the csv data from the user info, that is why we tell users to click the user info first. The last page is the about us which tells users a bit more about our experience and our mission by using labels and importing pictures of us.
Challenges I ran into
Some challenges we ran into were fixing the issue between the packs and grid functions. On the calculator page, we noticed that the window function uses pack, but we used grid to make the results more easier for the user to read.
Accomplishments that I'm proud of
We were able to make a streamlined application that is easy to use and works efficiently to bring up a coherent result based on user inputs.
What I learned
We learned that it's much more difficult to make an application given a time constraint but it is a welcome challenge. We also learned how to utilize tools to create a modern GUI.
What's next for SwiftSaver
We hope to make the calculator tool a bit more personal for the user to really understand what they need to work on and give them specialized tips based on their habits. We would also like to add a dark/light mode toggle.
Built With
csv
pandas
pil
python
tkinter | SwiftSaver | SwiftSaver is an application where users, particularly college students, get a chance to gain better control and understanding of their finances. | ['Kean Sebastian', 'Shay Samat'] | [] | ['csv', 'pandas', 'pil', 'python', 'tkinter'] | 9 |
10,305 | https://devpost.com/software/foodsetgo | Input information here
Recipes shown
Tips on food spoilage prevention
Warning generated
Home Page
Inspiration
The inspiration for creating Comida was when I noticed that many people, like me, were starting to cook and eat their meals at home more often, and as a result, leftovers were being stored in the fridge for a long time. Since, after many months of eating at home, people are simply tired of eating the same meals over and over again, leftovers that were stored in the refrigerator would end up in the landfill anyway. This is a massive issue, because after ending in the landfill, the spoiled food decomposes and releases methane in the atmosphere, which can contribute to global warming. If food continues to be ending up in the landfill, our environment will slowly deteriorate.
What it does
Comida provides data-driven recommendations on what to make with the leftovers that are stored in your home. In addition, when producing solutions, it takes into account your allergies and how much time you have on your hands in order to produce these results. Finally, it asks for where and how long that you have stored these leftovers, and generates warnings if the food is said to be past its general expiration date. If this does occur, tips on how to safely store that specific food in the future will be shown as well as well as if anything can be done to the spoiled food, such as be used for fertilizer.
How I built it
In order to create this, Flask was used for the backend. The Reddit API and Python was used to parse through posts on reddit and find those with the most upvotes to make with that ingredient. Finally, the user interface of the website was created using HTML, CSS, and Javascript.
Challenges I ran into
Because I had never used Flask before, I had to go through multiple tutorials to figure out on how to use Flask to connect the Python script to the front end. Also, creating the website's layout was difficult because I wanted the website to look aesthetically pleasing, but at the same time, it had to be simple for the user to be able to input information and receive the output. After much deliberation, I arranged the results of the recipes in a table, as it was easy to comprehend and had a clean look. Also, I read the Python Reddit API Wrapper multiple times in order to implement the correct functions to pull specific data from each post.
Accomplishments that I'm proud of
I am proud of being able to create a functional platform that users can use to find new recipes to create with their leftovers. Also, I love the way that the website turned out, as it is clean and has an easy-to-use interface.
What I learned
I learned how important brainstorming and thinking through one's ideas is. Before starting on my project, I thought through the problems that people are facing during this time, and wrote down my thinking in order to create this platform. This was extremely helpful and gave me a clear idea of what my idea would be. In addition, I learned how to use Flask to connect the Python script that I wrote to pull specific information from Reddit to the front end, and allow it to respond to a user's input.
What's next for MealGuru
In the near future, I hope to spread my platform for people to utilize in order to prevent food wastage. Instead of throwing it into the landfill, they can create new recipes with it and enjoy a delicious meal altogether! In addition, I hope to incorporate an image classifier model that would be able to recognize an image with multiple dishes or ingredients, and find recipes for people to make with those. Comida can be used after the Covid-19 pandemic is over as well, and will help people to make environmentally friendly decisions as well.
Built With
css3
flask
html5
javascript
praw
python
Try it out
github.com | MealGuru | An innovative platform that advises people to try new recipes using their leftovers! | ['Riya Bhatia'] | [] | ['css3', 'flask', 'html5', 'javascript', 'praw', 'python'] | 10 |
10,305 | https://devpost.com/software/safeschool-6th2vy | Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
t
What I learned
What's next for test
Built With
css3
flask
html
javascript
machine-learning
mongodb
postgresql
python
react-js | test | test | ['Rohit Mukund'] | [] | ['css3', 'flask', 'html', 'javascript', 'machine-learning', 'mongodb', 'postgresql', 'python', 'react-js'] | 11 |
10,305 | https://devpost.com/software/gym-bt | Home Page to start planning
Planning Screen- user can input several tasks with desired work time
Schedule - app will design the schedule with user's tasks
Focus - it will detect if user use other apps means not working on the tasks
Setting - user can decide how long a focus/break block is, enable/ disable notification
Analysis -- shows how long has user focused and what apps has user used.
Inspiration
Get your mierda back together. During difficult times like these can decrease our motivation, productivity, and health. Nevertheless, this scheduling app can improve users on their new lifestyle, work/life balance and give awareness on how and where they spend their time during the day. Furthermore, we care about your health, so we provide suggestions on what users can perform during their breaks between focus sessions.
What it does
The app is designed to help user to stay focus during the focus time. User can decide how long they want to focus as well the break time in between depending on the tasks. The app will have analysis daily for performance which will show the time user has breached the focus time, how long have user been focused and how long of breaks has user taken.
How I built it
We used react native to build the app and test it using expo.
Challenges I ran into
Store the data of each task for the person.
Accomplishments that I'm proud of
Finished all the UI design
User can enter multiple tasks
Create a person class to store/ manipulate the data.
Create a countdown focus timer
## What I learned
How to write app in Javascript, how to use api in react native
## What's next for GYM-BT
Add community features that can let people work together and encourage each other when sharing progress.
Built With
api
expo.io
javascript
react-native
Try it out
github.com | GYM-BT | Get your mierda back together.This app will help you to be more productive in your life. | ['Alex Juan', 'Giresse Achouakong', 'Sien Shen', 'Yonathan Adugna Kebede'] | [] | ['api', 'expo.io', 'javascript', 'react-native'] | 12 |
10,305 | https://devpost.com/software/resist-3i7hf1 | Logo
Try it out your self. Scan the QR code on your phone and hold the camera on the QR.
Try it out another one your self. Scan the QR code on your phone and hold the camera on the QR.
Inspiration
In recent months, all across the world people have been coming out of their homes to protest against police brutality and for things like the Black Lives Matter Movement and women's rights and equality. We were inspired by this and wanted to create an app that would help people find nearby protests and rallies where they could express their voice. Generation Z has been very vocal on their opinions and many peers I know are protesting along, posting images on social media (black out Tuesday on Instagram).
What it does
Using a Google Maps API, app users are able to look for different protests and rallies near them. Markers on the map show where the rally will be held and when clicked on, gives more information about what day and time to protest or rally is. They can show the markers to their friends who can scan it on their phone giving a new and useful way to spread information. To use these markers, we used echoAR's augemented reality function. There are two QR codes below that you can scan on your phone to test these functions.
How I built it
We first designed it through Figma (link below) and used Android Studio to build it out. Both Aditya and I have never used Android Studio and had some trouble getting started. After getting the hang of designing the xml files, using connecting them to the class files, we had lots of fun making the project. For the email and password authentication, we used Firebase's realtime databse which we connected through the tools page in android studio. To connect it through echoAR, we linked the QR images to the onclick method of the map. Using google maps API was a challenge for us as it was very difficult for us to understand how to get the location of the user and how to use fragments. However, we found some documentation on the basics of the API that allowed us to expand to find the users location.
What's next for Resist
We are hoping to expand resist to include a messaging service so that people can communicate with others who may be interested in attending the same protests or rallies as them. We also want to find a way to parse through Facebook and Twitter posts using AI to find posts about rallies and protests.
Built With
android
echoar
figma
google-maps
java
studio
Try it out
github.com
www.figma.com | Resist | Through our app, which connects people to local movements of all kinds near them, people can find others with similar perspectives and ideas. | ['Jason Zhu'] | [] | ['android', 'echoar', 'figma', 'google-maps', 'java', 'studio'] | 13 |
10,305 | https://devpost.com/software/flarehacks | Featured Page
Featured Page Stores
All Stores Categories
Home Category Stores
Beauty Category Stores
Inspiration
We both know people who own small businesses, so it was quite upsetting when they told us about struggling to keep their shops open without proper advertisement. Other than being a source of income, they see the result of their hard work in their successful business. As a way to help them out and to encourage support of small businesses in general, our project provides a simple way for users to search for small businesses to help.
What it does
Online Simplicity provides information and links to various businesses in an attractive, minimalistic manner to advertise a variety of small businesses. Organized by products, the app demonstrates easy navigation between screens to aid the user.
How I built it
Built using React Native, a Javascript framework, the app is compatible with both Android and iOS devices. Product testing was done through Expo.
Challenges I ran into
As a checkpoint, we decided to include small businesses that specifically had less than 50,000 followers on Instagram. It was difficult at times to find small businesses that were that small, but we knew that if we couldn't find them, it was most likely that other customers couldn't find them as well. Once we found such small businesses after researching on social media platforms, we added them to our list on the app, to help with the advertisement.
Accomplishments that I'm proud of
Developing the app took a major portion of the time, so when it came to designing to appeal, we are proud of the minimalistic design we achieved with little time. It looks clean and simple, so it is attractive and easy to navigate.
What I learned
We gained experience through the design portion of the project, as it was relatively new to us. We also got more experience with time management, and splitting tasks up into multiple parts so they are quick to work through.
What's next for FlareHacks
This was the first hackathon we have ever attended, and it was a great and knowledgeable experience. We enjoyed participating in FlareHacks and we would like to participate again next year!
Built With
expo.io
react-native
Try it out
github.com | Online Simplicity | As a result of home quarantine, many small businesses have seen a decrease in sales . Our app, Online Simplicity, provides users a diverse ensemble of online small businesses for users to support. | ['Tapaswini Kodavanti', 'apurva'] | [] | ['expo.io', 'react-native'] | 14 |
10,305 | https://devpost.com/software/covidportunity-the-hub-to-find-all-opportunities | Inspiration
What it doesdd
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for ss | ss | ss | ['Pulkit Midha', 'rahul garg'] | [] | [] | 15 |
10,305 | https://devpost.com/software/vcounselor | Home Screen
Virtual Counseling Page
Input ML Data Screen
Input ML Data Screen 2
Personalized Education/Career Guide
Resources Screen
Resources Screen 2
About Screen
Inspiration
With summer break ending soon for many of us and schools entering a new school year completely online, new and innovative solutions have been introduced to ease the transition into virtual learning. School counseling, however, has not received as much attention, as counselors rush to hastily meet the demands of hundreds of students by frantically scheduling Zoom calls or answering emails to simple questions from students while transitioning into a new work environment. To help school counselors who are adjusting to virtual learning, or even simply just trying to keep up with their already massive workload, we created vCounselor.
What it does
vCounselor is a mobile application that assists students who are seeking basic counseling. The app asks students for information such as how they spend their time, and utilizes machine learning to predict whether the student is currently on track to meet their academic goals. If the student appears to have any problems such as a lack of free time, or isn’t on track to meet their academic goals, vCounselor provides guidance and resources to assist the student. vCounselor can also help students identify potential classes, universities, and careers they may want to pursue based on their interests. The goal of the app is to provide basic assistance to students so they can receive more immediate help and reduce the workload of counselors, allowing these counselors to focus on more important or urgent cases, such as student health or familial problems.
How we built it
The frontend of vCounselor was built using Expo and React Native along with the UIKittens library. The app utilizes a custom SciKit Learn machine learning model to generate predictions for student performance based on user inputted data, which was then put into an API through Flask and hosted on a Heroku server. The career and college screen uses Python and BeautifulSoup4 (also accessed through the same API and Heroku server) to perform web scraping which provides the recommendations seen on that screen.
Challenges we ran into
In our team’s last hackathon, we dealt with machine learning for the first time, but ultimately failed to make a finished working product since we were unable to figure out how to get predictions from our model to the app. We spent a great deal of this hackathon working to address the same issue, but with different and more fleshed out ideas to solve the problem, ultimately creating an API through Flask and hosting it on Heroku. We also worked with web scraping for the first time, initially facing difficulties with reading through HTML code to find what was needed and figuring out which sites had means to block web scraping, but were able to scrape the results of various college information and advising sites to provide recommendations for students based on their interests. This hackathon also introduced new non-technical challenges for us related to our personal lives, forcing us to work without one of our usual teammates and with even more limited time constraints than already placed on us by the hackathon.
Accomplishments that we're proud of
Through vCounselor, our team has overcome challenges both new and old, giving us a sense of relief and accomplishment in doing so. We feel accomplished in beginning to gain mastery over old challenges that we had faced, such as developing a machine learning model, or working entirely with languages we had only learned months ago. We feel that vCounselor is one of our best applications yet, in both technical difficulty and functionality, especially after looking back at hackathon projects we had made as recently as May.
What we learned
In the process of creating vCounselor, we learned about creating APIs, hosting on and accessing Heroku servers, and how to perform basic web scraping. We also gained experience in finding relevant datasets and creating machine learning models through SciKit Learn. Since one of our teammates, who specializes in frontend with React Native, was busy this weekend, members of our team also learned more about creating the user interface and working outside of our usual assignments.
While vCounselor has allowed us to learn many new skills and tools in programming and app development, it has also increased our appreciation of our school counselors. When creating this app, we began to realize just how many aspects of student life counselors have to address, from basic class schedules, to the health and wellbeing of the community. We hope those who see and try our app can also learn and appreciate how much counselors and advisors do for their school, especially when a school is understaffed and dealing with transitioning into virtual learning.
What's next for vCounselor
We hope to introduce vCounselor to the staff at our high school, and receive feedback from our counselors and staff members on how to potentially improve and implement it at our school. While vCounselor is more student oriented and meant to reduce the workload of counselors, we also hope to make a counterpart for the counselors themselves that will receive alerts for students that may need more assistance or deserve recognition, and potentially automate tasks for counselors as well. If vCounselor accomplishes its goal within our local community and schools, we could change the app to accommodate various types and levels of education, and integrate more features such as schedule planning to further assist counselors. Once we gain more experience with different tools such as PyTorch, we may also consider trying to improve its already existing features, such as our machine learning model, or improving the quality and use of our web scraper.
Google Slides Presentation:
https://docs.google.com/presentation/d/1CLXMYm0jJRlG-FKLIR2NXKUIqqUvHC4POjaX1BJiI_o/edit?usp=sharing
Built With
beautiful-soup
firebase
flask
heroku
javascript
jupyter-notebook
python
react-native
scikit-learn
typescript
Try it out
github.com
docs.google.com | vCounselor | A guidance counseling application for high school students that provides a free,personalized platform to give them the information and resources needed to plan and succeed in life. | ['Arvind Vivekanandan', 'Eric Wang', 'Justin Yue'] | [] | ['beautiful-soup', 'firebase', 'flask', 'heroku', 'javascript', 'jupyter-notebook', 'python', 'react-native', 'scikit-learn', 'typescript'] | 16 |
10,305 | https://devpost.com/software/contrac-kx0i4e | Inspiration
When we learned that 6.15 million people in the world have contracted the novel Covid-19 disease and 374,000 people have died of Covid-19, we were shocked. Even though so many people are getting infected, many people still do not follow the social distancing rules or wear face masks in public places, and this is not just a concern of mine, but for many other people also. This very clearly causes more community spread and leads to more Covid-19 cases, we wanted to help people from being infected from the Covid-19 through an online platform that would control and display is places were following social distancing guidelines.
What it does
Our website, Contrac, has two main components: an accurate database of crowdsourced information about public locations following or not following Covid-19 safety rules and the ability for users to tag and leave reviews about locations. An immunocompromised user can view flagged locations to be informed about the safety standards each location maintains. Part of our first steps was building a website and creating app mock-ups.
How we built it
We built this website using HTML, JavaScript, php, and CSS. We also used an UI toolkit from CreativeTim. In addition, we also incorporated google maps api. This website is meant to be an extension of our mobile app. Since we could not complete the mobile app, this website that we started working on this morning contains a prototype of what we would build in the future. To understand what the mobile app would look like, we made a Canva mock-up. Here is the li
link
and attached is our business plan.
Challenges we ran into
When we were building our website, we ran into several issues from setting up a webserver, connecting it to a database and integrating with Google Maps API . Writing JavaScript functions (in the sign-up page for example) was tricky since we were not too familiar with it. This was the first time we used PHP, and used W3 school's blog and other online resources to understand how to code.
Accomplishments that we are proud of
We are proud of developing a solution for consumers to safely visit a location knowing it is safe to go. We are also proud of ourselves for creating a website in little time and for helping people from being exposed to an infectious disease. Over the past week, we surveyed over 50 friends and family to confirm the need for an app like Contrac. The survey validated the problem of not having access to data regarding Covid-19 safety at public locations. We also developed mobile app mock-ups to visually represent how our mobile app would look like and work. Validating the user needs, developing the mocks and building a somewhat functional website were the most important steps to build our app.
What we learned
We learned how to use PHP and Google Maps API within HTML. Also, we learned how to use Canva for building UI mocks which we enjoyed. When we first started this competition, we thought we could not finish, but we did it. Doing this competition helped me believe in our teamwork.
What's next for Contrac
For the app development, we plan to use Swift and Xcode and will start development from next week.For the website as well as the mobile app, we plan to add more logic that determines if a location tagged as COVID-19 safe is indeed true. We will do so by aggregating reviews by multiple users in a given timeframe. We also would like to share this information with city councils so they can enforce more adherence to COVID-19 safety guidelines. In the future, we want to include a leaderboard that showcases and highlights users of Contrac that are very active and provide the most valuable feedback.
We are competing for best community and health hacks.
Built With
creativetim
css
google-maps
html5
mysql
php
Try it out
github.com | revDo not kook at this one | rverv | ['Ad J'] | [] | ['creativetim', 'css', 'google-maps', 'html5', 'mysql', 'php'] | 17 |
10,305 | https://devpost.com/software/safety-first-wzopx0 | ERROR: type should be string, got "https://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nhttps://docs.google.com/presentation/d/14bqbPn2GB5mZ6hJkgGejKjyEgY0WrKAhjjppV4mMxnE/edit#slide=id.g8c9fb82bba_0_180\n\nInspiration\n\nAs we all know coronavirus is a fatal problem in today's society causing many deaths and sicknesses all around the world. As covid-19 keeps increasing, more and more people are becoming ill, but there are also more deaths happening due to an indirect factor: depression. For some, life has been a hardship now. People are unable to go outside, some are fired from their jobs, and others are just are unable to cope with the stress and anxiety from the lockdown at home. These are all general factors that lead to the coronavirus.\n\nSo far, 15.3 MILLION PEOPLE HAVE BEEN CONFIRMED TO HAVE THE CORONAVIRUS, AND 624,000 PEOPLE HAVE DIED FROM IT. AS FOR DEPRESSION, studies have shown that 1 OUT OF EVERY 113 people will get depression in their lifetime. In 2016 alone, there were over 16.2 million people affected by the coronavirus, meaning 5% OF THE PEOPLE IN THE USA DURING 2016 HAD DEPRESSION SYMPTOMS. 6.7% of all adults also have depression symptoms.\n\nWhat it does\nTo treat all this outbreak going on, I decided to make a webapp and app that is able to help everyone no matter where they live during these tough times. My project has three parts. First there is the social distancing app, that uses api's to make sure everyone is social distancing. If you arent social distancing you will be alerted. Then I made a free coronavirus quiz. It is an animated form which evaluates which symptoms of coronavirus you show and gives additional information and testing sites if needed. The last part is an algorithm that is able to see if you show symptoms of depression or not. The algorithm analyzes your typing speed and connotations of the words you type, and uses regression to find a pattern between them\n\nHow I built it\nI used flask, html, css, swift ui, swift, python\n\nChallenges I ran into\nAs a beginner making my own website from scratch was extremely hard due to the fact that I have only used templates before. I also didnt know what was regression or any of the other important machine learning type concepts that I used for this project.\n\nAccomplishments that I'm proud of\nI'm proud of learning regression, and somehow being able to complete this project on time! This was my first time using swift ui and I am very proud of that.\n\nWhat I learned\nI learned swift, swift ui, flask in depth, and html and css in depth to make a website. I also learned simple machine learning concepts like panda dataframes, and linear regression\n\nWhat's next for Safety First\nI want to publish my app on the app store, and also make the depression symptom analyzer voice recognition related so there might be more accurate results.\n\nBuilt With\n\ncss3\n\nflask\n\nhtml5\n\npython\n\nswift\n\nswiftui\n\nTry it out\n\ngithub.com\n\ndocs.google.com\n\ndrive.google.com" | Safety First | Empowering safety for all generations around the world during the coronavirus pandemic | ['Neeral Bhalgat'] | [] | ['css3', 'flask', 'html5', 'python', 'swift', 'swiftui'] | 18 |
10,305 | https://devpost.com/software/covidhelp | Inspiration
During this outrages pandemic many people have been struggling to keep in good health both mentally and physically. Seeing how the Covid-19 pandemic has struck mankind made me realize that there was no website that gave an in-depth information of Covid-19 in the various countries. There was no website that let you find the nearest clinic from your location and get the updated news.
What it does
The CovidHelp is a website that is build on node.js which help you find nearest clinics using your device geolocation. The clinics section has both a map and list view of the nearby clinics. The website also has a section where the latest Covid-19 news in various countries are displayed and the various Covid-19 status in both map and list view. CovidHelp also has a physical health section where you can take a self-assessment and learn more about covid-19 and isolation methods. The website also has a chat and contact section where user can message to each other about the pandemic and also report any suggestion or concerns to the developer.
How I built it
The CovidHelp is a website build on node.js, it uses html, CSS and JavaScript. The website uses the mdbootstrap library, bootstrap library for CSS and used several API’s. I used the Smartable AI for getting the latest covid-19 news, the covid-19 API for the latest Covid-19 status in various countries. I also used the Canada Covid-19 testing Center API which allowed me to get the various testing center in Canada.
Challenges I ran into
I ran into: During the development of the CovidHelp website I ran into several issues. One of the most time consuming section was getting UI working for the map view and list view. This was hard due to the UI limitation for the bootstrap library. For that purpose, I used the mdbootstrap library which gave me better result for these section. I also hard time getting the API’s working. One of the hardest API’s I had to work with was the news API which took along time due to the output result coming in an unorganized way, formatting this result took several hours. While building the website the authentication section challenged me because I was new to using firebase and really didn’t know how to use it. However, after a while of reading the documentation I soon understood how it works and implemented to the website.
Accomplishments that I'm proud of
What I am most proud of is how I finally got the map view and list view working and how the chat section was able to handle several users at a time. I am proud of how I was able to get the correct API and get them working.
What I learned
The most important thing I learned while building the website is learning how to work with firebase, to use there authentication and the Realtime database. I also learned about the mdbootstrap library which allowed me to creates very beautiful UI.I also learned how to use some of the most common Covid-19 API’s and how to handle various post and get request.
What's next for CovidHelp
Develop more feature that would help user to learn about Covid-19
Built With
api
bootstrap
css3
firebase
html5
javascript
leaflet.js
node.js
Try it out
github.com
covidhelp.glitch.me | CovidHelp | CovidHep is a website that lets you find nearby clinics,latest Covid-19 News and physical health | ['Noel G'] | [] | ['api', 'bootstrap', 'css3', 'firebase', 'html5', 'javascript', 'leaflet.js', 'node.js'] | 19 |
10,305 | https://devpost.com/software/covid19_tracker-mzsc6y | This project was bootstrapped with
Create React App
.
Available Scripts
In the project directory, you can run:
npm start
Runs the app in the development mode.
Open
http://localhost:3000
to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.
npm test
Launches the test runner in the interactive watch mode.
See the section about
running tests
for more information.
npm run build
Builds the app for production to the
build
folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is ready to be deployed!
See the section about
deployment
for more information.
npm run eject
Note: this is a one-way operation. Once you
eject
, you can’t go back!
If you aren’t satisfied with the build tool and configuration choices, you can
eject
at any time. This command will remove the single build dependency from your project.
Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except
eject
will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.
You don’t have to ever use
eject
. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.
Learn More
You can learn more in the
Create React App documentation
.
To learn React, check out the
React documentation
.
Code Splitting
This section has moved here:
https://facebook.github.io/create-react-app/docs/code-splitting
Analyzing the Bundle Size
This section has moved here:
https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size
Making a Progressive Web App
This section has moved here:
https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app
Advanced Configuration
This section has moved here:
https://facebook.github.io/create-react-app/docs/advanced-configuration
Deployment
This section has moved here:
https://facebook.github.io/create-react-app/docs/deployment
npm run build
fails to minify
This section has moved here:
https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify
Built With
css
html
javascript
react
Try it out
github.com | covid19_tracker | A covid 19 tracker including map representation, graph representation, total live cases representation and country wise details of the cases, recovered and deaths | ['Fayaz Azeem'] | [] | ['css', 'html', 'javascript', 'react'] | 20 |
10,305 | https://devpost.com/software/feedbacko | Dynamic Search Engine Example
About Us Page Example
Profile Page Example
Dynamic Feed Page Example
My Ideas Inventory Page Example
Inspiration
For years I have been writing down any ideas I have had for a product or an app I might release in the future. Being the entrepreneur, software developer, and the 'idea-man' that I am, my notebook quickly was filled up with many ideas, without even knowing if they have any true potential. To get a better picture of how valid and valuable my ideas are I started asking my friends, classmates, family, and surroundings for feedback on my ideas. I realized this process needed an upgrade, and that my software development skills could come in handy. I was surprised to find out no online platform to provide valid and reliable feedback exists. By participating in this hackathon, I was finally given the opportunity to develop the upgrade that was much needed. As society advanced technologically, automating the field of entrepreneurship and feedbacking is now required.
What it does
Feedback is a free and open-for-all platform, allowing all of its members to share their ideas with the public (under the protection of our terms and services), and to leave their feedbacks and opinions on other ideas. Each member can follow other members and keep being updated with their actions on the site (new ideas, likes, and feedbacks) by visiting the Feed page). Each idea and feedback comment can be liked by as many people as possible (only once per person), and every feedback comment can be marked as 'valuable' by the idea-owner. The more comments and feedbacks marked as valuable, the person who has given that feedback becomes more valuable and reliable in designated scale designed for this platform. This will create a sense of competition, causing people to leave more valuable feedbacks. By giving feedback, the feedbacker is also asked to rate the idea from 0 to 10, and by this, creating its average score and categorizing it. Ideas with an average larger than 8.5 are "genius ideas", and those with an average greater than 7 are "awesome ideas". Each person's profile also shows how many genius ideas it has and how many awesome ideas it has, as well as the total number of ideas in their account. Considering Feedbacko is a completely new platform, I have also generated a page ( the about-us page_ for users and members to leave their feedback on Feedbacko and help us grow. Furthermore, Feedbacko includes a built-in search-engine, that allows everyone to search any idea and/or member in the Feedback platform, from which they have quick links available: to follow, visit the member's profile, or even email them. It should be mentioned that members have the option to pin their ideas in their Idea Center, which will grant them quick access to editing and reviewing ideas.
How I built it
Without the use of any templates, I built everything by myself completely "from scratch" using HTML, CSS, and JavaScript (jQuery) the front-end, and PHP with embedded SQL on the backend, and AJAX calls to connect the two ends. To make the javascript alerts generated by the platform, I used alertify.js and a self-programmed corresponding CSS. All databases were designed locally on my personal machine (my localhost) and as of right now, can only run on my computer appropriately. The site relies on the use of $_SESSION variables in PHP, to create a stablizing data integration system.
Challenges I ran into
Developing Feedbacko, to a large extent, was almost like building a small social network, which required a careful and cautious design of the database. Understanding the concepts and basics of such complex database design required much learning from me and served as a challenge. Additionally, designing the feed page (where users get live updates about actions taken by the members they follow), was a challenge as well that I managed to overcome by designing a test.php file and testing code segments separately in there.
I learned how to upload images and large files in a SQL database (use Long Blobs) and to display them with specialized CSS as profile images, etc.
Accomplishments that I'm proud of
For the first time, design a lively updated feed page in accordance to a predesigned SQL data model.
Also, managed to upload images and large files and store them in a database and have them accessible with simple query commands.
Also, master the art of using ajax as a dynamic connection between the front and back ends of a web application.
Create a functioning social network with an incredible, massive, room for growth.
What I learned
I learned how to create actions and cascades in SQL data model designs.
I learned how to manage large files in PHP and a SQL data model.
I learned how to create a lively update page.
I learned how to hash a password using both PHP's and MySQL's MD5 hashing function.
What's next for Feedbacko
Feedbacko has much room for growth. In the future, I plan to release feedback as a reliable platform for the web. Its first version will include the use of the square-up API, which allows money transactions between users. When a member is registered, he or she will be able to classify themselves as an "idea person", an "investor", or a "feedbacker". Investors could also (if the idea will be up for sale) be able to purchase certain equity from a product/idea found in the site, donate to it, or perhaps even buying it completely. By creating such an option, a room for revenue is created and allows feedback to require a certain fee for any transaction above a certain amount. Additionally, in the future members will be able to pair up and collaborate in teams over one single idea, and have the ability to upload their code, pictures of their product, and any supporting files on which they can work and store together as a team. Feedbacko is destined to be the first and most prominent social network for innovators and entrepreneurs, completely automating the process of perfecting every idea and new products in the market based on the public's opinions. The future will also include a connection to voice-operated assistants (Google Home and Alexa): by saying "Hey Google, I have an idea", one could generate a new idea that will automatically be entered into the Feedbacko database and live feed. Moreover, I plan to use Morris.js or chart.js (with both of which I am fully experienced) to create an interface of graphs and charts for users on all ends of the platform to have a better illustration and understanding of their idea's and feedbacks validity.
Built With
alertify.js
css3
html5
javascript
localhost
mysql
php
Try it out
github.com | Feedbacko | In a world where entreprenuership if the key for growth, contructive criticism, feedbacks, and valuable validations are much necessary. Feedbacko offers true, public, qualitative, feedback. | ['Shahaf Dan'] | [] | ['alertify.js', 'css3', 'html5', 'javascript', 'localhost', 'mysql', 'php'] | 21 |
10,305 | https://devpost.com/software/virus-simulator-data-analyzer-i578b2 | Inspiration
When brainstorming ideas for this year's Flarehacks Hackathon project, we decided to tackle the problem of tracking viral mutations. When we looked into this issue we discovered that due to the rapid replication of viruses, there can be thousands of mutations that arise in the genomic sequence of a virus. Normally epidemiologists/virologists would have to perform many processes such as polymerase chain reactions and nucleic acid hybridization to try and identify different mutations, and on top of that would have to differentiate between benign and malignant mutations, which takes an awful amount of time.
What it does
We thought we could make this process easier by creating a viral mutation simulator that allows people and even scientists to predict the trend or effects mutations in various genes in a given virus can have on the behavior of the said virus. This makes it so people can interpret our simulations in any way they please to provide more insight into the virus in general. We also wanted to help hospitals and other private companies organize their viral data and gather intel on what types of Sars-Cov-2 tests prove to be the most accurate.
How I built it
We used a website called repl.it, which allowed us to simultaneously work together in a plethora of different languages; HTML, CSS, and JavaScript. Apart from that, we used C++ to code the Data Analyzer for false positives & negatives.
Challenges I ran into
One of the biggest challenges my team and I ran into was the time constraint, as weren't able to implement all the features that we initially intended to implement.
Accomplishments that I'm proud of
One of the accomplishments we're proud of is bringing the project to completion and into the hands of the user.
What I learned
We learned a lot more about libraries and APIs in JavaScript, and we got to improve our HTML and CSS skills.
What's next for Virus Simulator/Data Analyzer
We plan to work with experts in the field to develop a better algorithm and depict more accurate data. Future plans also include adding more viruses to be studied.
Built With
c++
canvas
css
html5
javascript
jquery
Try it out
repl.it
flarehacks2020--sakethkorrapolu.repl.co | Virus Simulator/Data Analyzer | We simulate mutations for various types of genes in viruses and allow hospitals & private companies to make sense of their viral data. | ['Ronit Mehta', 'Saketh Korrapolu', 'Rayan Narayanaswamy', 'Sripad Mahorker'] | [] | ['c++', 'canvas', 'css', 'html5', 'javascript', 'jquery'] | 22 |
10,305 | https://devpost.com/software/redditseer | RedditSeer Logo
By using NLP to fuel both my Named Entity Recognition and Sentiment Analysis, I was able to find out what Proper Nouns were being mentioned. Based on the context with which these proper nouns were being mentioned, we know what both users believe, and what the current data reports.
Tool to scrape reddit comment text and compare user predictions of different entities against actualized data. Keep track of accurate users, and connect to real data.
Huge implication: this is applicable to absolutely any subreddit which has some real life basis and isn’t self-contained
reddit/relationship_advice is overflowing with opinions about gender, which is data that can be compared to national abuse rates. reddit/stocks makes daily predictions, all of which can be profited from. One way or another, reddit is a mound of data waiting to be optimized. Reddit Seer has infinite potential for thousands of use cases, including politics, video games, public markets, etc.
Built With
html
python
Try it out
github.com | RedditSeer | It measures the validity of data from a subreddit, by comparing past predictions to current legitimate data. Huge amount of potential for any use case which has a corresponding subreddit. | ['MayankSingamreddy Singamreddy', 'Vortrekt Gampala', 'Faye Lin'] | [] | ['html', 'python'] | 23 |
10,305 | https://devpost.com/software/jigsaw-moj9gn | Dashboard
Text Editor
Home Page
Login Page
Challenge Submission
About
JigSaw Contributors
Izaan Ibrahim
Akarsh Ojha
Jayant Patil
Adrian Zhang
Inspiration
We wanted to test our JavaScript and general programming abilities, so we decided to build a website serving this exact purpose. This website allows you to create and share your own coding challenges to share with anyone on the website.
What it does
JigSaw is a coding challenge website. You can submit your own challenges through a form interface utilizing markup formatting and JSON data. You can then answer others' challenges through an intuitive editor along with a console. In addition, you can choose to submit your solution for fellow programmers to view.
How we built it
We used JavaScript, HTML, CSS, Node.js (express module, cookie parser, etc...), libraries, such as Marked and CodeMirror, and finally SQLite3 as a database.The site is written mostly on JavaScript. The server-side is built on Express, and exposes a RESTful API that the client uses to retrieve information. We used both hypertext generation and client-side code to create a rich experience for the end user, enhanced by the addition of features such as a smart editor powered by CodeMirror.
Challenges we ran into
Some open source libraries and modules that we used, such as CodeMirror, cookie parser, and Marked, were unfamiliar to us as we have not integrated them into a project prior to this hackathon. Front end development also stood as a challenge since we held little to no experience with front end development and UI design. In addition, our sizeable backend necessitated the use of concepts including a server database and a custom API to handle authentication, running user code, and getting content from the site.
Accomplishments that we're proud of
We were able to make our own API, which could handle requests to the server as well as manage to create a polished and professional looking website. Furthermore, our website is lightweight and modular, meaning that we can switch to different databases while maintaining high performace.
What we learned
We learned how to program the front end of a webpage effectively and efficiently with templates to dynamically generate HTML. We also learned server architecture with Node, how to use custom API's for our own system, and how to integrate a database with a website. Utilizing open source libraries proved to be a new, useful skill we can employ in the future.
What's next for JigSaw
Comments sections underneath challenges for feedback towards the author or for others to share their ideas and approaches
Implementing more languages to practice and create challenges for (C, C++, Python, Java, etc...)
Add a forum section
Add the ability to delete your created challenges
Add a reporting feature to reprimand those who do not follow guidelines (i.e. inserting the wrong parameters) as well as moderation
Achievements
XP Progress Bar + levels
Search Engine Optimization to our domain
Search feature to find specific challenges or users
Add the ability to change user aspects, such as profile pictures, usernames, passwords, bio's, etc...
Add tags and interests to easily recommend users with challenges they would find interesting
Built With
codemirror
css
html
javascript
marked
node.js
sqlite
Try it out
crocodilecoding.com
github.com | JigSaw | Practice programming and congregate with code | ['adrian zhang', 'Jay Patil', 'izzy-jpeg Ibrahim'] | [] | ['codemirror', 'css', 'html', 'javascript', 'marked', 'node.js', 'sqlite'] | 24 |
10,305 | https://devpost.com/software/cov-care | Page shows requests of patient on site
Patient Details page
Login page
Register a new patient
Homescreen page of website
Login page for patient on app
Various Sign up options for patients with different medical background
Patient can update his/her medical parameters here
Sign up form for requesting hospitals
Inspiration
As the number of patients of COVID-19 continues to increase at an unpredictable rate, the number of beds in hospitals and centers set up by the government fall short of the requirement by a huge margin. The condition is so severe that the reports indicating the incidents of patients being kept on streets have surfaced recently. All patients are not required to be kept in specialized care units. Home quarantine and isolation with proper guidelines can be implemented in these less severe cases. This project is created to bridge the gap between the medical service provider and the patient.
What it does
Specialized care is expensive and not required by everyone, this will provide an inexpensive alternative to conventional methods.
-The extreme pressure on hospital beds will be reduced and more beds will be available to those in actual need.
-Early and efficient intervention and identification of suspected patients will help reduce the spreading of this highly contagious infection.
This service has two interfaces, which we will individually deal with in the subsequent sections:
Patient service side
The patients can install the android app and create an account. There is a choice between three categories which were already mentioned in the target user section. The patient then creates an account with the hospital of their choice. If the hospital is available then the patient can log in the app using their phone number as password, which can be changed later. The patient (or an active relative or nurse) can update the medical parameters viz, BP, Temperature, SPO2, Respiratory Rate, and AVPU value. The values entered are timely updated in the database and are monitored by the hospital on the website.
Moreover, each parameter has a set of information about it for instance, What is blood pressure?, How do we measure it? and other guidelines to use the instrument along with links to online tutorials to do so.
Hospital service side
Hospitals can register on the website by filling the sign-up form and can approve the registration of patients.
The dashboard of every hospital displays a list of patients by sorting them on the basis of their MEWS, displaying the more severe patients above and then the less severe once. The doctors can click on the specific patient account to see more details regarding his medical condition. Seeing the MEWS score and SPO2 values the doctors can decide which patients to immediately shift to the hospital.
How we built it
As mentioned above, we have two sides of this project i.e. app and the website and all the technical details are mentioned below:
Tech stack used:
-Java: the android app has been written in the Java language with the help of Android Studio.
-Django: the website is written using Django as the backend framework.
-Bootstrap: the frontend of the website is written using bootstrap.
-Firebase: Firebase has been used as the cloud backend service for the app.
-PostgreSQL: the database management system of the website.
Challenges we ran into
COVCare, as a service, can act as a bridge between medical practitioners and the patients. In order to accomplish this, this service requires active participation of the administration, hospitals and the patients. Fabrication of such a system was a major issue. We agreed upon a system of mobile application and a website to best suit our purpose.
We had to contact doctors to get real time information regarding the guidelines and monitoring protocols implementable currently.
Accomplishments that we're proud of
Certain features of the application that we are proud of and which make this project stand out are:
-This project not only helps the patient to connect with the doctors but also makes it easy for the doctors to analyze and monitor their patients.
-This project is very user friendly, the patients are provided with ample information so as to measure the parameters, they are provided with video links as well. The patients are reminded through notifications to fill in the data.
-No unnecessary information has been asked and the forms are kept informationally tight.
What we learned
This project requires the implementation of Django, BOOTSTRAP, and Java. We learned a great deal about the implementation of these languages to suit our requirements. Several bugs we encountered helped us to engage more with the project. Along with these technical skills we also acquainted ourselves with medical details regarding the coronavirus monitoring, classification of patients in L1, L2, L3 as well as people qualifying for quarantine. This project also motivated us to learn basic skills like Prioritization (80-20 Pareto Principle), team-work, video-making, and a variety of soft skills.
What's next for COV Care
Several essential features can be implemented to make this service more useful. Some of the various features we could not include due to time constraints-
-The application can be expanded to accommodate an information portal rendering important and correct information regarding COVID-19 to dispel all the fake news regarding it.
-A Patient-Doctor chat feature can be introduced to enable direct communication between doctor and patient.
-Notification service can be implemented to notify the worsening condition of a patient to the doctor.
-General improvement of layout and aesthetics.
-Some additional features to make the application easier to use.
-Expansion of the website to allow hospitals to monitor L2 patients in wards and to be notified when the patient needs to be moved to ICU.
Built With
android
android-studio
bootstrap
django
firebase
pyrebase
Try it out
github.com
praxiitr2.herokuapp.com
github.com | COVCare | A COVID Quarantine and Isolation Home Healthcare Service | ['Akanksha Verma', 'Ishan Rawat', 'Sarthak Sharma', 'Prakhar Gupta'] | ['Health Track', 'Open Water Accelerator Internship'] | ['android', 'android-studio', 'bootstrap', 'django', 'firebase', 'pyrebase'] | 25 |
10,305 | https://devpost.com/software/incognito-awgk8c | Introduction
Say hi to Incognito, the app which normalizes healthcare, in a great way. Incognito aims to diagnose Parkinson’s Disease in 3 intuitive steps: draw a spiral, point, and click (a picture). Parkinson’s disease is the second most common age-related neurodegenerative disorder after Alzheimer’s disease, but what makes it so unique is its external diagnosability: no longer do we need fancy MRI or PET scans to diagnose Parkinson’s Disease. Parkinson’s Disease is only getting worse, increasing from 41/100,000 people to over 190,000/people, but here’s the catch: we’ve only looked at people who are able to visit doctors, and people who have the healthcare means to get diagnosed. What about the 46.5 million Americans who lack healthcare, or the millions more worldwide who do not have access to good healthcare. Parkinson’s is scary: a patient of this disease will no longer have a normal social life or have a job, therefore making them incapable of paying for medical expenses, and will severely hurt their financial condition. In the United States alone, 60,000 people are diagnosed with Parkinson’s every year, however, this fails to reflect the over 40 million Americans living under the radar, and every Parkinson’s statistic fails to represent millions of people who are Incognito to the healthcare system. Incognito brings light to those who otherwise would not be able to attain healthcare.
Inspiration
The Incognito team was inspired by every day experiences, whether it was being too lazy to visit a doctor for any doubts we had about our health, or the fact that we were privileged enough to visit a doctor whenever necessary. We wanted to do something that could change lives, and we decided that healthcare would be the best way to do so, because through Incognito, we will be able to save lives, by diagnosing critical diseases in their early stages. Furthermore, we were inspired by family members who suffered from Parkinson's Disease... maybe if they had access to good healthcare, their lives would have been saved. Maybe, if they had been diagnosed earlier, they could have lived a more comfortable life. Thats why we're here: we believe that everyone deserves a chance at living, no matter what their background is.
What it does
Incognito is intuitive: draw a spiral, take a picture, and upload it to our webapp to diagnose whether you have Parkinson's, in under a minute. The Incognito team loves simple things, whether it is our simple UI, our easy-to-follow instructions, or the convenience that comes with a web app! In fact, Incognito only requires a phone camera. That's it. No MRI scans, no PET scans, and definitely no microscopes. The user simply draws a spiral, clicks a picture, and gets diagnosed, in under a minute. Instead of taking a long trip to the hospital and waiting amongst people with the flu, we bring the hospital to you. Instead of paying an absurd amount of money to get scanned, we do the fancy image analysis for you. Incognito is simple to use, for anyone and everyone. Whats more? We compete with the pros when it comes to accuracy, but the difference is, Incognito is easy, free, and time-friendly (we of all people know the importance of efficiency)!
How we built it
The Incognito team utilized Convolutional Neural Networks, CNN's provide the highest accuracy when it comes to image detection. We developed an efficient preprocessor to improve the results of our model, including tools such as OpenCV. In fact, we put heavy emphasis on optimizing our code, whether it was through gray scaling images or using the smallest sized images as possible. A lot of work was done on the model to achieve high accuracy, and we've perfected it to our best ability. Furthermore, we utilized bootstrap and css for frontend development, as it is intuitive and provides the most refined results. Much of the frontend was developed through templates that we found visually pleasing. Django was used for further backend processing.
Challenges we ran into
The Incognito team ran into numerous challenges, whether it was timezone differences or technical difficulties. Our ML developers were having issues with their pickle files, which took
much
googling to fix. Because the Incognito team took a long time to find an idea we were passionate about, it became difficult to do so many tasks in such little time. Our frontend and backend developers worked tirelessly to have a working and visually pleasing User Interface, which was very rewarding. We had to decrease the size of our model in order to host it, which we found incredibly challenging, due to the fact that we wanted to maintain our accuracy. With a lot of tweaking and shifting, we were able to gain maximum accuracy for a model of its size. We have also faced numerous issues when it comes to hosting the web app, which is something we are currently working on (after all, we want our users to have the best time possible). At Incognito, time is our biggest challenge, whether it is beating Parkinson's, or developing our app in under 24 hours.
Accomplishments that we are proud of
We are proud of our entire web app, whether it is our important cause, or our app which was completed in such a small timeframe. We are proud of the fact that when we do launch our app, it will help millions who do not have access to healthcare (and maybe inspire other developers to tackle the same challenge). We are proud that we were able to locally host our web app, which was definitely unexpected, and we are most proud of being able to achieve a high accuracy on our Neural Network. On a less important note, we are proud that our website doesn't look like a virus (We're looking at you, Oracle). Even less importantly, we think our name is pretty slick.
While we are proud of every single part of our app, we know that it is not perfect. We would like to make ourselves and our users prouder, whether it is through improving our UI, increasing our model's accuracy, detecting more diseases, and maybe,
just maybe
actually hosting our app for the public (just kidding, we'll definitely be doing that).
What we learned
The Incognito team learned a lot. We learned how to develop a fully functioning web app in under 24 hours, which is something none of us have done before. Our ML, frontend, and backend developers had to go into the nitty gritty details about each aspect, therefore solidifying our understanding of all three areas further. We also learned how to wake up before 2pm, but thats a discussion for another time.
What's next for Incognito
The Incognito team has already started expanding, as you are reading this. We plan to develop a large team of capable members to create models for multiple diseases, so you can import
any
photo, and get yourself diagnosed. It will become a hospital on a 5.6 inch screen (yes, we searched up the average smartphone size). We also plan on improving our model accuracy, and of course, improving our UI and hosting our app. Incognito fully plans to fulfill its name, and cover people with all kinds of conditions who may be incognito to the healthcare system. Incognito will help millions, you can take our word for it.
Thanks for reading (you deserve a cookie, but due to a special virus, we can't give it to you)!
Instructions
Draw a spiral on a piece of paper
Take an image of your spiral
Go to
http://amazingbuilder123456.pythonanywhere.com/
Upload the spiral
Enter your email
Submit
Check your email for results!
Side Notes
Accuracy for the model is not too high because we chose to compromise accuracy to have the model fit into the website. In the future we can deploy the model as a microservice and help bring up accuracy.
(Only read if you are a sigma hacks member)
After the sigma hacks deadline we were able to integrate the AI model into the website and make it work. You can look at the newly improved website now.
For flare hacks we were able to get the website working and integrate the AI model!
Built With
bootstrap
css
django
keras
opencv
python
tensorflow
Try it out
github.com
amazingbuilder123456.pythonanywhere.com | Incognito | Healthcare. For all. | ['Anish Karthik', 'Pahel Srivastava', 'Gaurish Lakhanpal'] | [] | ['bootstrap', 'css', 'django', 'keras', 'opencv', 'python', 'tensorflow'] | 26 |
10,305 | https://devpost.com/software/istopcovid | Inspiration
When someone catches Covid-19, it is important to figure out where or who they got it from - to then hopefully isolate both. It is also very important for everyone to follow quarantine, wear a mask, and social distance. Sadly, most people still choose to not follow these guidelines.
What it does
The way the app works is it keeps daily logs of:
Whether you went outside or not
Whether you wore a mask or not
Whether you social distanced or not
It also shows you how many days you logged, your streak, and your regional rank.
How I built it
I used HTML, CSS, and JavaScript, with Bootstrap to ease layout, and Font-Awesome for the icons. I then used a framework called Apache Cordova to make a web-based mobile application.
Challenges I ran into
Time. What I got done with was just the basic, minimal demo that is barely functional.
Accomplishments that I'm proud of
This is my first time using Cordova for anything, so I'm proud that I managed to decently import my webpage into it without much changes to the site layout.
What I learned
I learned about Font Awesome and how to use Cordova. Now I can reliably make mobile apps.
What's next for iStopCovid
Well, actually making a fully functional prototype, as I barely got finished with a presentable demo.
Built With
apache
bootstrap
css3
font-awesome
html5
javascript
Try it out
github.com | iStopCovid | An application that encourages you to keep track of your social interactions and properly social distance. | ['Dmitry Pleshkov'] | [] | ['apache', 'bootstrap', 'css3', 'font-awesome', 'html5', 'javascript'] | 27 |
10,305 | https://devpost.com/software/the-covid-game | The-COVID-Game-
A fun and addicting game made to educate younger audiences on the importance of staying at home and wearing a mask in these difficult times. This game was created entirely with python using the pygame library. Have fun gaming!
P.S. In our recording, we disabled audio from the game to enhance the audio of our voices.
Built With
python
Try it out
github.com | The-COVID-Game- | A fun and addicting game made to educate younger audiences on the importance of staying at home and wearing a mask in these difficult times. | ['Nathan Lintu'] | [] | ['python'] | 28 |
10,305 | https://devpost.com/software/police-brutality-forum | Inspiration
Police brutality has been in the news lately so we decided we wanted that to be the subject of our project. After realizing that more mainstream social media sites are sometimes forced to take down or flag content related to police brutality we decided there was a need for a more independent community.
What it does
It is a forum for police brutality victims and allies to build a community where everyone can share their experiences and resources.
How we built it
We used flask as the framework for our web application. Flask handled the logic and served up the web pages coded using HTML. After completing a back-end and a basic front-end we used a CSS framework, Bootstrap, to make everything look better.
Challenges we surpassed
Creating the database and figuring out the relationship between Users and Posts, Preventing duplicate users/usernames & mismatched passwords during registration, Creating forms using WTForms, Figuring out notifications, Profile picture integration using Gravatar, Email website error notifications to administrators, Accepting Cryptocurrency donations through Coinbase
Accomplishments that we're proud of
We made a functioning website that can be used to help people who have been victims of police brutality.
What we learned
Web Development using flask
What's next for Police Brutality Forum
Next, we will continue to improve on the website by adding more features and sources and well as continuing to make the forum more user-friendly. Examples of upcoming features include implementing a like/dislike system and methods for sorting posts such as by popular and by most likes, password recovery through email, the ability to delete/edit posts, image/link support for posts, and the implementation of tags to sort posts into categories.
Built With
bootstrap
flask
html
jinja
python
sqlalchemy
werkzeug
wtforms
Try it out
github.com | Police Brutality Forum | A forum for police brutality victims and allies to build a community where everyone can share their experiences and resources. | ['Dhruv Batra', 'siya batra'] | ['Honorable Mention'] | ['bootstrap', 'flask', 'html', 'jinja', 'python', 'sqlalchemy', 'werkzeug', 'wtforms'] | 29 |
10,305 | https://devpost.com/software/attack-of-the-coronavirus-jg7bxd | Inspiration
Our game was inspired by the game Space Invaders and COVID-19. We wanted to make a game that had to do with our current pandemic, the coronavirus. The idea to make it like Space Invaders came in when we thought of how much we hated the coronavirus. Therefore, we made the coronavirus the enemy. We also wanted a way to remind people to stay safe, wear a mask, and to wash hands. That is where the mask and the hand sanitizer came in. We made it so that when you collected a mask you would be able to gain health when hurt from the coronavirus. The hand sanitizer was used to kill the coronavirus. That was how the game Attack of the Coronavirus came to be.
What it does
It is a game meant to be played when you are bored, especially during quarantine. Who wouldn't want to kill coronaviruses to past time?
How I built it
We built the game using mainly p5.js. There was also some HTML and CSS involved.
Challenges I ran into
One challenge we ran into was combining our code. We never worked together with a group on a coding project before. However, GitHub made it simple. Another challenge we ran into was object collision. We couldn't figure out how to make the coronavirus disappear when the hand sanitizer hit the coronavirus. However, we were able to solve it with trial and error. The internet was also a helpful tool. One more challenge we faced was the navigation between pages. We couldn't figure out how to switch from the game page to the game over page. Originally we were going to make it switch from one file to another file. However, we didn't know how to do that, so instead we cleared the page every time we wanted to switch from the game page to the game over page.
Accomplishments that I'm proud of
Accomplishments we are proud of are that even though we faced challenges, we were able to find a way to solve it. Another accomplishment we are proud of is completing a game in less than two days. Normally we would take a week to finish a project. This was also the hardest project we've made.
What I learned
We learned more about object oriented programming. There were a lot of objects involved in our game. Debugging the code was another thing we learned. Sometimes the code didn't work and we had to figure out how to fix it. We also learned how to work on a coding project in a team. This taught us that communication is an important skill to have as a computer scientist.
What's next for Attack of the Coronavirus
In the future, we hope to add more characters, like a female since we currently only have a male. We also want to incorporate levels into our game. There could be different levels of difficulty, like easy, medium, or hard. We also want to add an AI element. It would be nice if the coronavirus was smarter and had a more strategic way of falling instead of the randomness we have right now.
Built With
css
html
p5.js
Try it out
angela139.github.io | Attack of the Coronavirus | A COVID-19 themed game inspired by space invaders. | ['Emily Cai', 'Angela Hu'] | [] | ['css', 'html', 'p5.js'] | 30 |
10,305 | https://devpost.com/software/hippocrates-pqlcfm | Welcome to Hippocrates!
Get a quick overview on your patients, calendar, and option to add a patient.
Check up on your patient's medical history such as their medications and vital signs.
View a patient's vital signs such as their blood pressure and analytics.
Alert a patient's family and friends with a touch.
Perscribe your patient with the medicine they need without having to write them a referral.
View your calendar to see upcoming appointments, consultations, meetings, and other events.
Add your personal information in the Configuartion space. Get Hippocrates today!
Inspiration
Our team noticed that physicians and medical workers endure a stressful time keeping tabs on their appointments, meetings, and other vital tasks as well as lack the technology to effective track their daily tasks. These physicians have EHRs, but this prototype has a new take on EHRs by adding several new features to reduce physician burnout. This way, not only will there be records of patients online, but doctors will have their whole system online as well, making life easier for doctors and patients alike. We know that this is an extreme time for hospitals as they are are receiving a floodgate of patients from the rise of COVID-19 cases. If only, there was a way for medical workers to digitally organize their information and be more efficient... Oh wait, now there is!
What it does
Hippocrates is a prototype for a soon-coming app. Essentially, it eases up the lives of doctors as they have extremely busy schedules. This prototype/app organizes the doctor's schedule, keeps up with upcoming appointments, provides a brief but concise description and history of the patients they are about to see, allows the doctor to change their schedule, gives the opportunity for doctors to assign prescriptions to the patient, and lets doctors send alerts to the family of the patients as to what is going on. Then, it has a calendar scheduled with upcoming appointments so the doctor is on top of what is going on. Finally, it has a personal configuration page with the doctor's personal information and records. Overall, this could be described as the doctor's dream.
How We Built It
We built this prototype using Figma. We also used Code.org to work on the appointment form that is included for the doctor to fill out every time he or she wants to add a new appointment to his schedule.
Challenges We Ran Into
The biggest challenge was deciding what to do. Throughout our coding/hacking, different challenged popped up. The first challenge was trying to get a text input field for the appointment form. Since Figma does not allow this, we had to think of another way to add these text inputs. For this reason, we used Code.org. Another challenge was deciding which features we should add to our prototype. Next, making the vitals page was a challenge as we were not sure how to incorporate the blood pressure and pulse rate onto our prototype. We also had to learn the basics of Figma as we were new to working with it. Overall, we successfully overcame the obstacles.
Accomplishments That We're Proud Of
We are proud of achieving our ultimate goal when we started our hackathon which was to create something for the better good. Our prototype will help doctors save time, energy, and effort, while providing them with a clean workspace. We are also proud of our success in Figma and how we were able to create many different features under this time constraint. Overall, this was a huge success. This app could help avert the Covid crisis by helping doctors manage time and see more patients, and this app is a great business model that could be adopted by many hospitals world over.
What We Learned
We learned a lot about how Figma works and how we could work with tools we did not even know existed.
We also learned how to work efficiently, time manage, and most importantly, how to become a better programmer. By creating this prototype, we learned how designs are extremely important. We also expanded our knowledge and learned more about doctors and how we could organize the schedule and fit all their work concisely and nicely in one app.
What's Next For Hippocrates
The first step is to make Hippocrates a full fledged app. Then, we would like to add some more features for the doctors on, for example, how to not overwhelm themselves. Overall, Hippocrates has an extremely bright future, and we are excited to see where it goes!
Built With
code.org
figma
Try it out
www.figma.com | Hippocrates | Keep tabs on all your tasks, appointments, and more to keep you from getting overwhelmed and stress out. Helping you do your job, one patient at a time. | ['Sanay Bordia', 'Zoya Hussain'] | [] | ['code.org', 'figma'] | 31 |
10,305 | https://devpost.com/software/eagle-sight-cbny23 | This is a cool website.
Try it out.
Built With
css3
html5
Try it out
www.eaglesight.tech | Eagle Sight | Cool Eye checking game. | ['Senuka Rathnayake'] | [] | ['css3', 'html5'] | 32 |
10,305 | https://devpost.com/software/clean-and-green | The welcome page for our app!
You get to choose your language after you press the get started button.
This is the menu.
If you press on the button to calculate your carbon footprint, you are brought here.
You have to do this simple quiz to get your result.
Then, after you do the quiz, you get to know how many earths it would take if everyone lived like you. The screenshot is just an example.
If you go back to menu and press the short quiz on climate change, you are brought here.
After doing it, you get your score.
If you go back to menu and press "Everything you should know...". you are brought here.
If you choose the first option of the fun fact generator, you are brought here.
If you choose the second option by just reading facts, you are brought here.
If you go back to menu and press the "How you can help" button, you are brought here.
If you choose the "Learn by playing games", you are brought to this instruction page.
Then you are brought to the game.
If you choose the "Learn by reading", you are brought to this page.
If you go back to menu and choose the impact of COVID-19 on the Earth, you are brought here to the information page.
If you press "Next page" on the previous screen, you are brought here.
If you go back to menu and press "Collection of games", you are brought here. We already showed the fun fact generator and Save the earth!.
If you choose Draw the earth, you are brought here.
If you choose Catch the CO2, you are brought here.
If you go back to menu and choose sources used, you are brought here.
Inspiration
Climate change is a serious issue in the world today. Current efforts to solve and promote the issue of climate change has not been much effective. In our opinions, the key to solve climate change is to get more advocates, but in what why? That was the question we were stuck on. After doing hours of brainstorming and research, we found out that if there were more young people in the society who were more knowledgeable about the issue and know the potential effects of climate change, they will be more motivated to spread the information and change their lifestyle. Thus, we created our app with a slight twist to it: we filled the app with different interesting games for you to learn more about climate change, which could possibly motivate you to take action. There is, of course, also information which you can read if you prefer it that way.
What it does
Our climate change app has several sections. Firstly, there is a quiz which you can do to test out your carbon footprint and see how many Earths it would take if everyone lives like you. In the quiz, it asks you few simple questions about your daily lifestyle. After you have completed the quiz, you get to know a cool fact (if everyone lived like you, how many earths it would take) that might serve as a motivation to what you can do to help alleviate the severity of climate change! Secondly, there is a short quiz on climate change which tests your knowledge on general information on climate change. This quiz allows you to learn from your mistake and gain more knowledge on the basic facts of climate change. Thirdly, there is a place for you to learn more information on climate change. Even if you think you know everything about this issue, there is always more to learn! In this section, you can choose to either read facts or generate facts about climate change. Both ways are great ways to learn but it all depends on you and how you learn best! Fourthly, there is a place where you can learn about how you can help. This section is also divided on to two sections, a fun game or a short passage to read. The game is where you have to answer true or false questions of what you should do to contribute to alleviating the severity of climate change while also playing a game. The game is mischievous so get ready! Also, there is an instructions page before the game starts. Additionally, there is a place for you to learn how the ongoing pandemic (COVID-19) has affected the world. There are lots of interesting and very surprising facts and diagrams that we have created ourselves so make sure to look and read through that! Specifically, the diagrams and text compare aspects of the world before COVID-19 and during COVID-19. Last but not least, there is a tab for collection of games relating to climate change. These creative games are fun and are meant to motivate people.
How we built it
How we built this app is through a variety of steps. Firstly, we had to think of ideas to code for and what to include in our app. Secondly, we had to actually code. This step was of course, the most important step, so it took the longest. Over the days of the hackathon, we spent hours working together as a team and programming to make an app that can make a change in the world.
Challenges we ran into
Challenges we ran into along the way were ample. The progress of programming is never easy; a bug in your code can lead to potentially hours of searching for the source of the error. When we started coding for this app, we were first stuck because we had no idea what to code. Then, in order to resolve this issue, we looked around Google for global issues and noticed just how big the problem of climate change is. Thus, we, without a doubt, chose climate change and started working on what to include in our app. We decided that the best way to approach climate change is with a twist: we decided to fill the app with fun games and exciting quizzes to inspire people to join us in the battle against climate change. Over the days of the hackathon, we also sometimes had trouble coding. Sometimes, we as a team would have no idea how to continue. To resolve that, it required preservation, teamwork and resilience. We battled through the obstacles and spent long hours figuring out what to code and how to go about the app. All in all, though we definitely ran into loads of obstacles along the way, it was still a great learning experience.
Accomplishments that we're proud of
In the process of creating this app, there has been times where I feel proud of succeeding but there has also been times where I felt down for not being able to do something. However, I always made sure to know that failure brings you to success! Specifically, we are proud of the collection of games tab. In this tab, there are four games that allows people to interact with the app while also learning more about this issue. The first game is the fun fact generator. This can teach people about climate change. The second game is the save the earth game. In this game, the player have to try to get the image of the earth to touch the balls while also answering questions about what you can do to help. This is an excellent way to let the player learn about climate change while not feeling bored. The third game is the draw the earth game. This game is directed to children as they are allowed to have fun, be creative while learning. The last app is the catch the carbon dioxide game. This app is similar to the catch-the-mole game.
What we learned
From creating this app, we have learned that climate change is a much more urgent and serious issue than we thought it was. It is important to note that it is probably not only us who just recognised it, there are so much people out there that doesn't take climate change as seriously as it seems. From researching about climate change to incorporate into my fun fact generator to making games that motivates people to do something about climate change, it really upsets me to know that the climate is warming, animals are not living their desired life, plants' population are slowly declining, animals are going critically endangered and extinct but... so many people are not doing anything about it. Additionally, I have learned that many of the climate change activists has actually been exposed to this issue at a very young age. Therefore, by creating this app, I decided to add more components that is fun and exciting for children like catch the CO2 and draw the earth so that we can have more of activists in the near future.
What's next for Clean and Green
After creating this app, we, as a team, have decided to publish it to the internet so that the public can use it to learn more about climate change in a less boring and more exciting way. Instead of having facts thrown at them, they have the opportunity to learn through games and interact with the app. We are still trying to find more ways to get more people to use this app!
Built With
block-code | Clean and Green | We aim to motivate and inspire not only adults but also children to learn more and take part in the battle against climate change through exciting games, surprising facts and interesting quizzes. | ['Lisa Huang', 'Melissa Huang'] | ['Sustainability Track'] | ['block-code'] | 33 |
10,305 | https://devpost.com/software/grow-me | Our Logo
Website
Plants Info Page
Plants Info Page
Plant Information
Plant Information
Plant Information Mobile View
Virtual Garden
Garden Log
Inspiration
Earth’s population is increasing, but its land is not. We decided to create a gardening app to help anyone to create a sustainable farm in their very own home while supporting local farms.
What it does
If you are looking to escape from the daily stresses of life or are looking to become a master grower Grow Me is for you. With information about 400,000 plants you can grow virtually anything in your backyard! Grow Me can help you plan and track your garden efficiently and effectively with our virtual garden planner and receive daily reminders to water your plants.
How I built it
The front-end was built with HTML, CSS, React, and TypeScript. We used trefle.io as an API for our project. We also used RxJs for asynchronous state management. The back-end was a combination of Firebase and Java + Spring.
Challenges I ran into
The first challenge we ran into was finding an API or library with the data we wanted. Even after we found a good API, we needed to set up an RxJs store so that data calls could be made effectively and asynchronously. Finally, it was a challenge to make the virtual garden portion of our project.
Accomplishments that I'm proud of
We’re proud that we were able to fetch, display, filter and sort the data, and allow users to create a virtual garden. We're also proud that we are able to develop the front-end and the back-end.
What I learned
As a team, we learned how to use APIs to fetch data, and how to create a backend with Java and Spring. We also learned a lot about gardening and plants.
What's next for Grow Me
We would like to create a GrowMe community that will support and encourage new growers to turn their backyard into a mini farm. We’d also like to improve our database by adding more varieties and info of our plants. Ideally, we'd also like to generate the virtual garden from a satellite image, and calculate amount of sunlight, etc. using Machine Learning. We are also going to try to get an SSL certificate and make our website secure. We believe with more detailed data and more features our project can become a real company!
Built With
css3
firebase
html5
java
javascript
node.js
nodemailer
react
rxjs
spring
typescript
Try it out
grow-me.us | Grow Me | An app to revolutionize the way gardening is planned and executed. | ['Siddhartha Chatterjee', 'Satvik Balakrishnan', 'Humza Dalal', 'Rohan Bodke'] | [] | ['css3', 'firebase', 'html5', 'java', 'javascript', 'node.js', 'nodemailer', 'react', 'rxjs', 'spring', 'typescript'] | 34 |
10,305 | https://devpost.com/software/unmasked-6384x1 | GIF
Covid-19
GIF
Masked
Unmasked
The "Coronavirus Overtly Voracious; Infecting Drives v19" or COVID-19 Computer Malware demonstrates the necessity of protecting yourself with a mask
Running mask will protect your files from this terrible virus! Of course, the only way to protect yourself is by wearing a mask!
Wear a mask
Please wear a mask
protect your files
wear a mask
Built With
python
shell
Try it out
github.com | unmasked | The "Coronavirus Overtly Voracious; Infecting Drives v19" or COVID-19 Computer Malware demonstrates the necessity of protecting yourself with a mask | ['Daniel Kogan'] | [] | ['python', 'shell'] | 35 |
10,309 | https://devpost.com/software/renft-ag21xo | GIF
GIF
GIF
What is reNFT?
reNFT is a protocol layer that enables peer to peer renting of ERC-721 non-fungible tokens (NFTs). reNFT enables holders of NFT assets to put them to work by renting out gaming assets to use in blockchain gaming experiences, digital art, or any other NFT asset.
Further, reNFT opens the avenue for users to temporarily use an NFT they otherwise do not want to purchase, for a set time period. A user can rent an NFT by simply staking collateral + the set price as well as entering a desired lease duration.
How it Works
The dApp “Flow”
As an NFT “Owner” (Lending an NFT)
On reNFT’s platform a user can lend one or multiple NFTs. By doing so this saves multiple rental transaction costs and merges them into one single cost.
Lending implies transferring the NFT to our “escrow” smart contract to list it for rent.
The NFT Owner specifies the following: The Rental Price (how much you wish to be compensated daily; this is the daily borrow price) The NFT Price (this is the collateral a borrower most put up to rent); Max Rental Period (maximum number of days you wish to lend out your NFT)
As an NFT “Borrower” (Renting an NFT)
The “Borrower” must specify the duration (in days) that they would like to borrow the NFT for
This duration then gets multiplied by the set rental price, to arrive at the total rent price
This gets deducted from borrower’s balance and sent to the NFT “Owner” (lender) immediately
The borrower also must put up the full collateral price in order to rent the NFT. This removes the risk of theft incentive from the owner.
However, this collateral is stored in reNFT’s contract and is returned to the NFT “Borrower” only upon successful return of the NFT to the “Lender” (NFT Owner)
In a fraud case of which the NFT is not returned and the duration has passed, the collateral is sent automatically to the NFT Owner “Lender”
This default method of checking if the NFT is returned is ran every day to check for this fraud case.
Our Goal
reNFT aims to revolutionize the ever expanding NFT market by enabling owners the ability to generate revenue off their otherwise stale assets, and renters the ability to use a variety of NFTs in experiences without having to be tied to any single one.
Our goal is to implement reNFT into NFT marketplaces such as Rarible, OpenSea, Cargo and more enabling these platform’s userbases the ability to seamlessly rent their NFTs.
Future Implementations
Dynamic Fee (Set by NFT owner)
Leverage yield farming platforms IE: Yearn for maximum interest yield
ERC-1155 token standard implementation
Gas Optimization
Ability for the “Owners” to set a time period limit max and min
Full proper UI development
Implement into platform marketplaces
And a whole lot more!
GitHub Repos
Front:
link
Contracts:
link
Join us and keep up with our future NFT products!
Twitter:
link
Discord:
link
Built With
avalanche
ethereum
react
solidity
typescript
web3
Try it out
front-git-integration-avalanchev15.rentnft.vercel.app | reNFT | reNFT is a protocol layer that enables peer to peer renting of ERC-721 non-fungible tokens (NFTs). | ['Apoorv Lathey', 'Nick Vale'] | ['MoneyDance Hackathon Finalist (Avalanche Prize)'] | ['avalanche', 'ethereum', 'react', 'solidity', 'typescript', 'web3'] | 0 |
10,309 | https://devpost.com/software/veritynet | Semiott Protocol is created with the concept of building succinct symbols for social symbiosis. VerityNet is the implementation of Semitt Protocol Principles on Ethereum Decentralised Finance Platforms such as AAVE, Compound, Teller, StarkEx, The Graph, etc. One of the key principles of Semiott Protocol is Fairness Algorithms. Without Fairness Algorithms and Architectures, we cannot fulfill the daring and dynamic dream of decentralized finance across the wider cross-sections of the economy and society. Unfair algorithms are ruling the roost in the world of mainstream finance, in the formal and informal economy. Unfair algorithms are defining the logic and limits of finance products, services, and the fintech ecosystem. Hence fairness algorithms can play a crucial role in the creation of a radical market. I am applying probabilistic proofs created using zkSNARKs built from Circom Compiler, and SnarkJS Gadgets to bring privacy, secrecy, verifiability, and veracity into the financial algorithms.
Hence when we create applications for loans using DeFi protocols such as AAVE and Compound these fairness algorithms powered privacy proofs can ensure that there are no favoritism, partialities, asymmetries, and unfair decisions in issuing loans, tokens, assets, and derivatives. In VerityNet, you can see the integration of quadratic voting verifiers generated using Circom, SnarkJS, and MACI to make the governance of AAVE and Compound fair, formidable and fierce. A StarkWare Veedo VDF Beacon Contract powered RANDAO is introduced to the Governance protocols of AAVE and Compound. Likewise, the Circom Circuit generated Data Dispute Verifier contract is added to the Optimistic Rollup-based Tellor Oracle implementation. This to enable Verifiable Data Dispute Correction Capabilites in Tellor Oracles.
VerityNet also implements a TokenSwap between Tinlake Tokens and AAVE to demonstrate the roadmap towards a robust lending marketplace. VerityNet integrates Tinlake Tokens into StarkEx with focus on a scalable tokenmics. Quadratic Voting Verifiers are deployed on the Graph framework. The Gas Station Network are used across all these composable building blocks of VerityNet. Financial Fairness Algorithms and Architectures built on AAVE Tokens with Centrifuge Tinlake Framework based ERC 20 and ERC 721 based Privacy Preserving Non Fungible Token Swap and AAVE Protocol Governance using a Dynamic RANDAO Powered by StarkWare Veedo VDFs integrated with Consensus Oracles built on Chainlink External Adaptors and Linkpool Bridge.
Components
Iden3 Circom Circuit based Financial Fairness Proofs
SnarkJS based Fairness zk SNARK Verifiers
Fairness Verifiers on Layer 2 Simple ZK Rollups
Fairness Verifiers on Layer 2 Optimistic Rollups
Tinlake ERC20 and ERC721 TokenSwap with AAVE Tokens
RANDAO Secured using StarkWare Veedo VDF
AAVE Protocol Governance using VDF Powered RANDAO
Compound Protocol Governance using VDF Powered RANDAO
Tellor Dispute Oracle Verifiers Data Dispute Proofs
Tinklake Token integration with StarkEx
Built With
circom
cryptography
ethereum
javascript
solidity
zero-knowledge-proofs
Try it out
github.com | VerityNet | Probabilistic Proofs and Coherent Cryptoeconomics for Decentralised Finance Fairness Architectures | ['Gokul Alex'] | [] | ['circom', 'cryptography', 'ethereum', 'javascript', 'solidity', 'zero-knowledge-proofs'] | 1 |
10,309 | https://devpost.com/software/ebbnet | Title
Decentralised Dynamic Stream of Money with Continous Markets over Matic Network
Introduction
Money streaming represents the idea of continuous payments over a finite period of time.
Block Numbers are used as a proxy of time to continuously update balances.
Block Numbers are indexed by On-chain randomness produced by verified delay functions
Workflow
A provider sets up a money streaming contract.
A prospective payer can interact with the contract and start the stream right away by depositing the funds required for the chosen period.
The payee is able to withdraw money from the contract based on its ongoing solvency
payment rate * verified delay function (current block height - starting block height)
The stream terms (payment rate, length, metadata) can be updated at any time if both parties pledge their signatures.
The stream can be stopped at any point in time by any party without on-chain consensus.
If the stream period ended and it was not previously stopped by any party, the payee is entitled to withdraw all the deposited funds.
Motivation
This standardised interface aims to change the way we think about long-term financial commitments. Thanks to blockchains, payments need not be sent in chunks (e.g. monthly salaries), as there is much less overhead in paying-as-you-go. Money as a function of time would better align incentives in a host of scenarios.
Applications
Salaries
Subscriptions
Consultancies
CDPs
Rent
Parking
Pensions
Micropayments
Subscriptions
Challenges
Block times are a reasonable, trustless proxy for time on the blockchain. Between 2016 and 2018, the Ethereum block time average value hovered around 14 seconds, excluding the last two quarters of 2017. Mathematically speaking, it would be ideal to have a standard deviation as close to 0 as possible, but that is not how things work in the real world.
Implementation
Integrating VDF into the ERC 1620 Time Functions
Integrating Dispute Verified Oracles into ERC 1620
Integrating ERC 1671 with ERC 1620
Deploying ERC 1620 into Matic Network
Deploying ERC 1671 into Matic Network
References
EIP 1671
https://github.com/ethereum/EIPs/issues/1671
EIP 1620
https://github.com/ethereum/eips/issues/1620
Built With
ethereum
solidity
Try it out
github.com | EbbNet | Decentralised Dynamic Stream of Multidimensional Money Markets powered by Verified Delay Functions | ['Gokul Alex'] | [] | ['ethereum', 'solidity'] | 2 |
10,309 | https://devpost.com/software/fraxtnd | Fraction your NFT and trade your fraction-ed share!
Inspiration
There are lots of NFT in the market and the biggest issue is to bring the liquidity in the NFT ecosystem. NFT is a gateway to convert traditional assets to on-chain assets (blockchain assets). In the past several projects around NFT spin-off like crypto kitties, unstoppable domain, and many others. The biggest problem with this platform is to bring liquidity to the NFT ecosystem. NFT are very difficult to get fractioned.
Check my detailed blog on NFT:
https://a4nkit.medium.com/nft-fractional-ownership-f59f419c22e8
Inspired from this news clip
https://www.youtube.com/watch?v=XX7e0VkmP3I&feature=youtu.be
What it does
Contract where any NFT can be fractioned and traded between multiple parties.
FraXtnd
is more like combination of ERC20 and ERC 721 with some added functionalities.
There are a few things we need to consider while trading
FraXtnd
. (Will discuss in next version). Also please check the github for more info on the solutions.
How I built it
First thing is to get familiar with Avalanche basics and its architecture.
Get familiar with all the examples mentioned at
https://docs.avax.network/build/tutorials/smart-digital-assets
Built the app. Details are uploaded on Github.
What I learned
Avalanche architecture.
Avalanche setup.
Deploying Solidity smart contract on Avalanche
Avalanche API connection.
What's next for FraXtnd.
Make it fully functional working dapp on main-net and release it asap.
Include the lend and yield fucntion on NFT.
Connect with on-off ramp service.
Deploy on Avalanche main chain.
Apply to incubator/grants.
Many more..
Built With
avalanche
javascript
node.js
quantstamp
rust
solidity
Try it out
github.com
a4nkit.medium.com | FraXtnd | Fraction your NFT and trade your fraction-ed share | ['Ankit Raj', 'Rajiv Jha'] | [] | ['avalanche', 'javascript', 'node.js', 'quantstamp', 'rust', 'solidity'] | 3 |
10,309 | https://devpost.com/software/giftvax | Inspiration
Building the first commercial use case for the avax token
What it does
This service will allow avax holder buy gift cards and initiate bill payment with their avax.
Accomplishments that we're proud of
A commerce use case on the Avalanche blockchain
Built With
avalanche.js
react
Try it out
giftvax.com | Giftvax | A bill payment and gift card service using avax as a means of payment. | ['onadeko gbolahan', 'Joshua Akinsuyi'] | [] | ['avalanche.js', 'react'] | 4 |
10,309 | https://devpost.com/software/decentralized-wallet | Home Page - Mexa Wallet
Blockchain Login(Magic Passwordless Login )
Dashboard
Send Money
Receive CryptoCurreny
Token Purchase
Avalanche-Fuji Contract Deployment
Inspiration
The good user interface on a crypto wallet will help to send or receive the money in the ethereum blockchain in an easier, faster, and convenient way. Also, you will have control of assets, keep your private keys, and benefit from the power of blockchain.
What it does
The user interface has the following main features in your decentralized wallet that,
Create Bitcoin and Ethereum Wallets
Take full control of assets to Send and Receive the ether by approving the transactions
Buy tokens with moneybutton
Check out the Balance
Get to know the address of the approver
Get the live updates of your Transaction
How I built it
I have used the solidity language for writing the smart contract to our Dapp. Then, I used the various smart contract methods to read and write the data from the ethereum blockchain network, Also, I have enabled the Biconomy for the web3 support of our Dapp.
Challenges I ran into
The entire dapp is functioning on the Avalanche Fuji C-chain. I can able to run the Avalanche node in Ubuntu. I have the challenge to create the address for sending or receiving the cryptocurrency in the Avalanche Platform. So, We need more documentation for the complete package development.
Accomplishments that I'm proud of
I have developed the dapp for sending and receiving the ether, bitcoin for our enterprise that we can use in the organization which I am proud of.
What I learned
I have learned the solidity language to some extent and writing the smart contract for Dapp.
What's next for Decentralized Wallet
I have successfully developed, tested, and deployed the contract for a decentralized wallet(Dapp). Still, I will include more features and functionality for the cryptocurrency transactions.
Built With
css3
html5
javascript
jquery
solidity
truffle
web3
Try it out
www.cwgscrypto.solutions
github.com | Mexa Wallet | Send and Receive Cryptocurrency, Buy Tokens with Dashboard Support for Enterprise Campaign Management | [] | [] | ['css3', 'html5', 'javascript', 'jquery', 'solidity', 'truffle', 'web3'] | 5 |
10,309 | https://devpost.com/software/node-api-explorer | Inspiration
The Avalanche vue apps.
What it does
A boilerplate Vue app with AvalancheJS.
How I built it
Vuejs, Magic Auth
Challenges I ran into
New to crypto.
Accomplishments that I'm proud of
Developing the app.
What I learned
More about cryptocurrencies.
What's next for Node API Explorer
More features. Add DB.
Built With
api
avalanchejs
heroku
javascript
vuejs
Try it out
github.com | AvalancheJS Boilerplate App for Developers | Get an application up and running quickly with AvalancheJS and Vuejs. User area with Magic Auth. Basic add node user and update, view, edit wallet. | ['Burt Snyder'] | [] | ['api', 'avalanchejs', 'heroku', 'javascript', 'vuejs'] | 6 |
10,309 | https://devpost.com/software/time-lock-smart-contract | Inspiration
Concept of the time lock smart contract (from Poly Games)
https://docs.polyient.games/developer-resources/moneydance-hackathon
Built With
solidity
truffle
web3.js
Try it out
github.com | Time Lock Smart Contract | ・This is a solidity smart contract that allows a user to send an amount of ERC20 token to a smart contract that takes custody of the asset for a pre-determined amount of time (e.g. 7 days). | ['Masanori Uno'] | [] | ['solidity', 'truffle', 'web3.js'] | 7 |
10,312 | https://devpost.com/software/immunipass | Integrated video submssion:
https://docs.google.com/document/d/1DSdIxdrZcJgPvmX8qjXTLevgPowt8BOWQYNQ2kuJLO8/edit?usp=sharing
Inspiration
The COVID-19 vaccines are estimated to arrive around one to two years from now, when the world will be completely shattered by the pandemic. When public areas and transportation systems start going back to normal, there will be complete chaos as the vaccines would have just started shipping. There would be no way to know who is immunized and who is not. To solve this problem,
we propose ImmuniPass: A standardized digital verification system for identifying immunized individuals in transport systems such as buses, metro, cabs and even airplanes, and public areas such as malls, restaurants, airports etc.
What it does
Our mobile app enables immunized individuals to access public vehicles areas by verifying that they are immunized by a unique two-step process:
First, the owner or manager of a public area or vehicle (such as the cab driver or a restaurant owner) scans a unique QR code automatically generated by the app.
Next, they take a photo of the immunized person, and our backend server runs a secure face ID using AES encrypted, prior collected face data of the person. This ensures that the account represented by the QR code belongs to the same person.
This now registers this person into that vehicle/area and they can get notifications on the potential risks detected, as explained below.
We have developed a security surveillance system that uses security cameras, microphones, and other sensors to do the following:
Runs advanced camera vision models on real time video to detect whether the people in a certain area or vehicle are wearing face masks or not.
Runs machine learning models on real time audio data from microphones to detect if anyone is coughing in that area/vehicle.
Uses various sensors to detect air quality.
If any security risk is seen in a certain area/vehicle (for example if multiple instances of people coughing were detected in a bus), our backend server automatically sends a notification to alert all the people who are registered in that area/vehicle at the time, as well as the manager of the area (such as the bus driver) about the potential risks. This feature also comes with a system specifically for vehicles, where the user can scan an image of a license plate, and get the past data pertaining to that vehicle.
Lastly, we have developed a web app for doctors and hospital agencies, where verified immunization centers can register new people into the system, who were previously un-immunized, along with their face data, after giving them the vaccine. This web app also provides data visualization of the surveillance data for doctors to analyze trends. To make this system more user friendly, we have added a feature in our mobile app, by which un-immunized individuals can find nearby verified immunization centers, via the google maps API.
How we built it
In order to build our system, we used an assortment of technologies and platforms:
React native
to build the frontend interface for both users and managers of public areas.
React js
to build a web app for doctors and hospitals to register immunized people into the system
Auth0
, which we integrated with our react native app and react web frontend, for login, registration, and authentication.
Flask Python
for our backend server, mainly for integrating the front-end with the database.
MongoDB
Atlas to store user data, hashed passwords, registered immunization centers, and environment data such as Air Quality
Python OpenCV + Keras
for mask detection from video feeds.
Google’s teachable machine
for cough detection, which takes into account background noise from real time audio data in a noisy public area or in traffic.
Dlib + OpenCV
for facial recognition and SHA256 + AES encryption for secure storage of face data.
Vercel
to deploy our react web app.
Raspberry pi
with a webcam, microphone and air quality sensor to simulate a surveillance system.
Google Maps API
for nearby immunization centers feature.
Microsoft Azure
to store the encrypted image embeddings
AWS
for the lambda functions and server/backend services
Digital Ocean
to host the flask backend for the nearby immunization centers retrieval
We store encrypted face embeddings (not face images) in order to comply with HIPAA and other privacy requirements
Relevance in transport
Public transport and vehicles provide an ideal medium for the spread of COVID-19, as there is close contact between people, in a closed area. Our system can be integrated with apps such as FaceDrive or HiRide to verify immunized individuals, and ensure safety of both customers and employees. This system can also be used to regulate social distancing practices such as wearing masks in vehicles.
Business model
This app is targeted towards:
Private Organizations such as FaceDrive, HiRide or Walmart - We will provide Immunipass as a service to such private companies. Our business model cost/benefit analysis is given below:
Cost
Companies will have an initial cost of the hardware (cameras, microphone etc.) required in each shop/vehicle, as well as an ongoing maintenance cost of this hardware for the surveillance system. Along with this, we will charge a small cost of around 10 cents on each transaction in the shop/ each ride in a vehicle, to fund our cloud servers and have a profit margin.
Benefit
Our system will provide an incentive for customers to go to the shop, or use the ride sharing app that uses Immunipass, as they are guaranteed further safety in these ‘immunized’ areas. This incentive will significantly increase with competition between companies to be the safest one. This makes Immunipass profitable for both us, and the company using it. We will also create a branding for ‘Immunipass certified’ so that companies can advertise their safety.
Government authorities - In this case, our system will be funded by the government and mandated by the law in every public area and vehicle.
Challenges we ran into
Our first great challenge was with integrating Auth0 with the expo front-end, due to lack of documentation specifically for expo-built react native apps. However, this problem was resolved by help from our auth0 mentors, as well as Auth0 forums. Our second challenge was in getting the mask detection model light enough to run on a raspberry pi. Thirdly, since some of our teammates had never worked with encryption, performing encryption and hashing of the facial images and embeddings was a challenge. Lastly, integrating the many parts of this complex system and making it work coherently was a challenge in and of itself.
Accomplishments that we're proud of
We are extremely proud to have created a very sophisticated system spanning multiple components, from hardware to a mobile application to a web application, in a short time. We are also proud to have successfully integrated Auth0, considering none of us had prior experience. Thirdly, in addition to creating 3 different clean user interfaces in react js and react native, we are proud to have designed and trained effective machine learning models using limited training data. Lastly, we are proud to have managed to coordinate and complete the hardware (raspberry pi) aspect while working remotely. We would like to highlight that we are extremely proud of designing and creating our system in a way that allows for the widespread adoption of face recognition technology with regards to privacy concerns. This posed a major challenge but we are proud to have found a solution. We don't store any face images on our database or in the cloud. Instead we calculate an embedded vector representation of a face and then encrypt this vector and store it. There is essentially no way to reconstruct a face from the vector, and it is also now encrypted. This allows us to comply with all privacy concerns and expand our system internationally.
What we learned
First and foremost, we learned how to use Auth0 for user authentication with MongoDB in our react native and react js apps. Furthermore, we learned how to use teachable-machine to create effective audio classification models. Given that our team members had limited experience, we learned how to encrypt data for secure storage, specifically facial data and facial embeddings. We also learned how to implement facial recognition, cough detection, and mask detection using python. Lastly, in addition to using Vercel for the first time to deploy our react web application, we learned how to integrate webcams, microphones, and air quality sensors with a raspberry pi, and integrate it into our entire system as a whole.
What's next for ImmuniPass
In the future, we would like to implement a custom user data system, integrating other medical health conditions, and, making use of MongoDB’s key value structure, in order to give custom notifications (for example giving more frequent and sensitive risk notifications to at-risk individuals such as senior citizens and people with respiratory disorders). We would also like to make a more sophisticated system to detect coughs, by estimating the position based on the readings from various microphones placed around the area. We are aware of a logical flaw in our system, that in order for face ID to work, it requires the user to remove their mask briefly to scan their face, which is not favorable. In the future, we would like to explore new and innovative methods of bio metric scanning such as iris scanning and IR imaging.
Built With
amazon-web-services
auth0
azure
digitalocean
expo.io
flask
javascript
keras
mongodb
opencv
python
raspberry-pi
react
react-native
teachable-machine
vercel
Try it out
github.com | ImmuniPass | A Standardised and Digitized Immunization Verification System to make public areas safe, post COVID-19 immunization. | ['Ebtesam Haque', 'Nand Vinchhi', 'Muntaser Syed', 'Veer Gadodia'] | ['Grand Prize - Addressing after effects'] | ['amazon-web-services', 'auth0', 'azure', 'digitalocean', 'expo.io', 'flask', 'javascript', 'keras', 'mongodb', 'opencv', 'python', 'raspberry-pi', 'react', 'react-native', 'teachable-machine', 'vercel'] | 0 |
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