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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10,055 | https://devpost.com/software/talk-to-code-vk8uy0 | login page
signup page
file generation option
program created
final created.py file
Inspiration
We always came across people who are really passionate about coding, but due to some or the other reason, they aren't able to carry on with their coding journey. So we thought of an hack that could help understand the coding and thought of making something more user friendly. So we made a hack named
"Talk 2 Code"
.
We wanted computer to code by it's own and as the most spoken language is English also statements in python are normal English, so we started working on
speech recognition
with python.
What it does
The working of our hack is simple. First of all a
Home Page
appears and it gives user option of
Login
and
Sign-up
. If the user is new to it, they can register by signing up and late they can login with their credentials.
After successful login a new window appears where we can speak what we want to be coded. For that we have kept a
Speak Now
button, pressing that we can take the input from the user via speech.
After speaking the required sentences by the user, the python statements are generated in a separate output block beside to show the user.
After the user finishes speaking what he wants to code, a
.py
file is generated that we can run to successfully get the output of program generated by our hack.
How I built it
Basically we knew the string parsings from python and initiallty we found that the sentence we speak and the python statements were much similar and they just needed a bit modifications in syntax that can be done by string parsing.
Than we learnt more about speech recognition from using
Google API
and so we implemented that in this project.
Than thought that a UI is needed for better User Experience so learnt more about
tkinter
and created the UI.
Challenges I ran into
Actually, we were on a different hack initially, but due to some reason, it didn't worked out so we need to switch with our idea and with less than 8 hours left for hacking to end we started with this idea from scratch so did in less time.
We faced challenges with MongoDB Atlas and its connection to Python.
Accomplishments that I'm proud of
We did this hack in a really very less time.
Also now we don't need to type single letter and the whole program is written.
It generates .py file automatically.
What I learned
We learned a lot of things, we learned:
MongoDB and its connection with Python
Speech recognition with Google API
UI with tkinter and also of-course
The time management.
What's next for Talk To Code
We are not stopping here, in such a less time we did a lot and we are sure in coming days we would do great. We are going to add more functionality to it such as below:
Add more languages like javascript, java, c++, html, etc.
Generate files as per the language chosen.
Adding auto suggestions.
Better UI.
Mobile Applications and Web App.
Collabration with coding platforms
This was the story with our hack, it was indeed a great experience!
Thanks for the opportunity.
Stay Safe!
Built With
amazon-web-services
googleapiforspeechrecognition
jupyter
mongodbatlas
python3.7
server
tkinter
Try it out
github.com | Talk 2 Code | "Most silliest idea a lazy programmer can have". Don't know how to code in python? Not to worry, just talk with our hack and you are sorted. | ['Siddharth Dayalwal', 'Siddhid Gopujkar', 'Hemang Jani', 'pratik patel'] | [] | ['amazon-web-services', 'googleapiforspeechrecognition', 'jupyter', 'mongodbatlas', 'python3.7', 'server', 'tkinter'] | 29 |
10,055 | https://devpost.com/software/6-feet-adventure-fhie2w | 6-Feet-Adventure
We wanted to make a game that kind of pokes fun at people panic buying during the pandemic, while also teaching them about what they actually need to get when they go shopping.
At first, we planned a 2d game, but after multiple attempts at downloading pygame and banging our heads on the table, we decided to make a text-based adventure game instead.
Built With
python
Try it out
github.com | 6-Feet-Adventure | Navigate around the city collecting supplies in this text-based game | ['Jo Sky'] | [] | ['python'] | 30 |
10,055 | https://devpost.com/software/catchacloud | Inspiration
As kids we've all recognized objects in clouds, but now our brains lack the imagination to do so :(
What it does
Here is a deep learning model (trained on many doodles) deployed on a webapp to help you boost your creativity, it recognises a shape, makes a story out of whatever it recognises and reads it out to you
How we built it
We built a custom CNN model, trained on google quickdraw dataset
Challenges we ran into
The dataset was too big to train on its own, had to use keras data generator
converting the keras model to ml5js compatible .json model
Accomplishments that we're proud of
bringing creative construct to an idle habit
making a demo video in 10 minutes!!
What we learned
Integrations with ml5js and tracery
Keras data generation for large datasets
to take a chill-pill
What's next for catchacloud
Text to Speech synthesis using celebrity voices
An interactive story game
Built With
css
html5
javascript
ml5js
p5.js
python
tracery.js
Try it out
drive.google.com
github.com
catchacloud.space | catchacloud | "What do you think that cloud looks like?" | ['Krishna Prasad Bhat', 'Ananya G'] | [] | ['css', 'html5', 'javascript', 'ml5js', 'p5.js', 'python', 'tracery.js'] | 31 |
10,055 | https://devpost.com/software/our-office-is-online | Welcome to Our Office, again.
Reminds you of your office, the hard way.
Let's not go on a guilt trip - shall we?
Inspiration
With Coronavirus shifting our "normals" like never before, we have started missing our daily schedules - how so much we hated it before. To bring back that feel HRs around the world started exploring methodologies, to make their employees feel at home, err, office. Say hi to "ourofficeis.online" (We intentionally didn't name it "myofficeis.online" because HRs feel to foster the growth of unity). Open the tab in chrome, click the play play button, pin the tab and forget it! You are back in the office!
What it does
Our Office Is Online reminds you of your beloved Office. All the staplers punching, printers signifying the high life - everything you missed (or hated) is back, as audio!
How I built it
I first started with the project on codepen, quickly prototyping with Pug and SCSS. To host it for free, I installed firebase-cli and set up the hosting.
Challenges I ran into
The audio file was extremely large (50mb) - so loading it all together and then starting the playback wasn't a good option. To resolver this we used Howler - an audio library for modern web. Howler gave us a configuration option to use HTML5 Audio API that lets us play audio before completely loading it.
But it presented it's own issue - AudioContext API was not allowed to start - this took some time to get around with.
Accomplishments that I'm proud of
First site to have audio :e: Gonna add spatial sound to it next.
What I learned
How to use audio library, play multiple tracks at once and have a 3D Spatial sound effect.
What's next for Our Office Is Online
Making it more real - by adding more sarcastic text, conversations understandable - and finally giving users an option to select what their office sounds like - and present it that way. Pets are allowed in you office? Gotcha - you'll hear them too.
Built With
firebase
freesound
google-storage
howler
Try it out
ourofficeis.online
our-office-is-online.web.app | Our Office Is Online | Missing your office this quarantine? Well it is online - or may just feels like. | ['Darshan Baid'] | [] | ['firebase', 'freesound', 'google-storage', 'howler'] | 32 |
10,055 | https://devpost.com/software/inresting | intresting
Inspiration
people bored at home
What it does
it simply wastes your time
How I built it
webdev skills
Challenges I ran into
many don't have time
Accomplishments that I'm proud of
the website i made ofc.
What I learned
to be more fast
What's next for Inresting
next hackathon by mlh only
Built With
bootstrap
css3
html5
Try it out
jayakumar.tech | Inresting | It is most Humoristic web | ['JAYAKUMAR Mhk'] | [] | ['bootstrap', 'css3', 'html5'] | 33 |
10,055 | https://devpost.com/software/chuckled | Adobe XD
Style Guide
Uploading to Google Cloud
Inspiration
Bored on your phone because of quarantine? Want something funny to text your friends? Upload any photo on Chuckled and receive a generated joke based on your photo. Jokes on you if you haven't (used) Chuckled.
What it does
Once you open the website, you will have two options:
Upload a photo from your computer or take a photo on your webcam.
After submitting the photo, Chuckled will look at the image and use Google Cloud's Machine Learning technology to generate a joke.
How we built it
Frontend
Used React to implement the client. There are two main functionalities: uploading an image or taking a snapshot from the computer’s camera. The uploading component was done with a simple input tag with a type of “file.” The video aspect took some more work. The method we used to implement was to stream the content from the computer's camera and then have a button that draws on a canvas tag. We took this drawing, then converted it into a blob type and finally to a FormData object. Next, through an Axios post request, we sent the image to the server.
Backend
Used Google App Engine for a server and Cloud Storage for hosting images. The frontend calls the server and uploads an image to the cloud storage. Then, we used a Google cloud vision service to annotate the images using machine learning. The annotations were ordered in terms of likelihood and the most likely label was passed as in input to a random joke generation API. The result of this API was then fed back to the frontend as captions for the original image.
Challenges we ran into
A challenge we had was setting up a connection between our backend server and the server that generated the joke. Another huge challenge was the upload feature. We learned how to convert a file into FormData to make it much easier to send to our server.
Accomplishments that we're proud of
For the frontend, we are proud of setting up a live stream and being able to take a snapshot of that stream at any moment. For the backend, we were proud that we got the machine learning aspect of the program to work.
What we learned
For the frontend, we learned the power and simplicity of using both React Hooks and CSS modules. We also learned how useful vanilla JS can be.
What's next for Chuckled.
Being able to upload videos.
Being able to create an account and save your images.
Being able to share your images with social media accounts.
Built With
app-engine
dadjokes-api
flask
google-cloud
google-cloud-datastore
google-cloud-machine-learning
google-cloud-vision
react
Try it out
github.com | Chuckled. | Jokes on you if you haven't (used) Chuckled. | ['Vikas Shukla', 'Michelle Kim', 'boyuan12 Liu'] | [] | ['app-engine', 'dadjokes-api', 'flask', 'google-cloud', 'google-cloud-datastore', 'google-cloud-machine-learning', 'google-cloud-vision', 'react'] | 34 |
10,055 | https://devpost.com/software/rainbow-dialogue | Inspiration
Coincidentally, my 14-hour inter-continental flight schedule conflicted with Hacklarious event. I really did not miss the opportunity to participate, so I came up with an idea that will keep me engaged during my flight.
Offline coding challenge. No outside dependency except for the C programming language.
I thought this would be a great project to work on, because unlike other popular programming languages, writing C does not require constantly referencing online material.
What it does
rainbow-dialgue reformats stdin to ANSI-colored text boxes.
How I built it
Before I took off, I took my time to set my Makefile up, then it was a super-long coding session. I think this project suits the word "Hackathon" perfectly.
Challenges I ran into
I was not familiar with gdb usage, so the debugging process for this project was a little more challenging than usual.
Accomplishments that I'm proud of
That I could finish at all. Although the application can only handle ASCII text and formatting does not work for a few special cases.
What I learned
Offline coding is possible! We get so used to having tons of online material with us while coding, and I could never imagine myself coding for 14 hours straight without getting connected to the web.
What's next for Rainbow Dialogue
Feel free to contribute to the project if you liked the idea.
Also, I can see text formatting can be done with other programming languages or tools. I might try to implement the same application with different programming language and see how that improves the developer experience.
Built With
c
Try it out
github.com | Rainbow Dialogue | Format string into a colorful dialgue boxes. | ['Donghyeon Kim'] | [] | ['c'] | 35 |
10,055 | https://devpost.com/software/eddie-ih7u39 | GIF
Inspiration
Not sure what to do, and figured an app that told me what to do would be great.
What it does
Tells you what to do and keeps it in a database so you can access your randomly made todo list (you can also add what you want to the list)
How I built it
Are you bored at home and lack an objective in life? Are you struggling to find purpose during this quarantine since there are too many things that you want to do, or none at all? Eddy is here to help. Eddy the emperor penguin has a countless amount of activities he wants you to perform. With the press of a button, you will have a task in no time. From simple actions like calling your dog and preventing yourself from blinking, to real challenges such as stacking potatoes. Eddy will remember everything he tells you, and he tells Dr. Mongo about them too. Dr. Mongo keeps track of all the new responsibilities you have, and if you think of something you want to do later Dr. Mongo will remember that for you too. You can track the completed tasks you’ve done, and if you don’t want to do something you can easily delete it. Through human powered language processing, the pandas library, and python, Dr. Mongo also receives a text file of activities that Eddie could tell you to do, as well as word banks of verbs and nouns that increases the randomness and diversity of ideas for you. The word banks were from ijmacdowell’s public github repo, and the array was parsed through python and converted to a convertible pandas dataframe. This app was created using MongoDB, Swift, and Python. You can download and try Eddie out at commandoeddie.online.
swift, pandas, and mongodb.
Challenges I ran into
Getting everything done on time. Front end definitely could have looked nicer.
Accomplishments that I'm proud of
Complete and working app.
What I learned
MongoDB for app development
What's next for Eddie
Improved user interface, and a larger dictionary source (perhaps through webscraping) so there are more options for Users.
Built With
mongodb
pandas
python
swift
xcode
Try it out
github.com | Eddie | Let Eddie help you find purpose | ['Maddie T'] | [] | ['mongodb', 'pandas', 'python', 'swift', 'xcode'] | 36 |
10,055 | https://devpost.com/software/harmonia-xtopil | Home 3
Home 1
Home 2
Home 4
Home 5
Hacklarious
Self portrait
Harmonia
It's a creative page which was created to visualize the merge of music and colors. It's a perfect environment to reduce stress and have fun. Check it out
here
.
What we learn
Through out this project we learned how to work with Tone.js. As our first hackathon we experienced our first competition far away and with a free topic. It was difficult to think and narrow ideas that came up. Our challenges were to work remotely as a team in a competition, the constant change of heart in ideas we thought were best and the lack of Tone.js docs found online.
Authors
Saul Montes De Oca
\
Sabastian Medina
Built With
css
html
javascript
tone.js
Try it out
github.com | Harmonia | Harmonia is a creative web page built to visualize the merge of music and colors with user interaction. It's a perfect environment to reduce stress and have fun while being creative. | ['Saul Montes De Oca Martinez'] | [] | ['css', 'html', 'javascript', 'tone.js'] | 37 |
10,055 | https://devpost.com/software/guboob | mood
Inspiration
My sister has a hard time getting out of bed :)
What it does
Demo video: ----
Flashing lights
Muscle Contraction
Ejects you out of bed
How I built it
We used a NodeMCU
Made a Blynk app for a wireless connection
It has a timer so it wakes you up at a specific time
Flashing lights: We programmed the esp8266 to have a disco light flashing effect, bright leds to wake you up (the cube was built for a different project, not made during hacklarious)
Muscle contraction: coding a a relay and TENS unit (TENS unit relay wire was wired at a different hackathon)
Bed ejector: We bought a bed that could change its elevation for my grandma to help her get out of bed easier, we attached a servo (in a very janky manner if I might add) to the remote
everything was controlled in a wireless system to start at an alarm timer
Challenges I ran into
Wanna hear something so hacklarious
no?
i thought this hackathon was in two weeks for some reason (after APs), so we started this project at 11:00 pm on Saturday
Accomplishments that I'm proud of
A miracle that we finished this and edited a video?
working with janky materials --> janky product
What I learned
My sister and her friend (all quarantined in the same house) participated in their first hackathon with me
and my cousin sent over some code
We worked together despite quarantine :)))))
Wifi isn't reliable
What's next for GUBOOB
Ah, so much more. Since we did this project in a few hours...
Perhaps, using a rpi, picam, and some tensorflow?
(been dying to try out a rpi)
Stay safe!
Jaclyn Chen, Catherine Chen, Jasmine Chen, Raymond Moy
Built With
arduino
blynk
fastled
nodemcu | GUBOOB | Get ur butt out of bed, pls and ty | ['Jaclyn Chen', 'Raymond Moy'] | [] | ['arduino', 'blynk', 'fastled', 'nodemcu'] | 38 |
10,055 | https://devpost.com/software/dance-til-you-drop | Check out our interview with MLH!
View on YouTube
Inspiration
There’s an old saying that recommends people “dance like no one’s watching.” The idea is to have fun moving, and not care if other people think you look silly. We took that idea and blew it up. The whole point of Dance 'Til You Drop is to have fun dancing by making ALL the moves for EVERYONE to look silly. We know most people aren’t freestyle dance geniuses. So we’ve created a web app using TensorFlow to create random dance moves, and string them together. It’s like a mashup of Monty Python’s Ministry of Silly Walks and Just Dance.
What it does
Dance 'Til You Drop uses TensorFlow to display a wireframe human image, and randomly positions the arms, legs, and torso (within pre-set humanly-possible ranges) into unique and creative poses. Players stand in front of their device’s camera and try to imitate each pose. The web app takes the player’s image, checks it against the randomly generated pose. If they match, it advances to the next pose automatically, and the speed of the poses can be increased to increase difficulty and player fun!
How we built it
There are a number of different components of the app itself. First, let’s start out with the front end website. Everything is built in React and Typescript, and styled with Material-UI. This allows us to easily rescale and rearrange the layouts of various pages to allow us to accommodate any device a user accesses the website from, whether it be from a computer or mobile device.
Then, we have the authentication system to allow users to login, logout, reset their password, etc. This is all powered by Firebase Authentication. On the profile page, everything is stored in FireStore, and Google Cloud Storage is used to store the uploaded profile pictures. This whole system is fully featured, and you can test it out at the demo links below.
Next, we have the camera access. The first thing that we can do is access the webcam directly from the device the user accesses the site from. We actually use two different systems to access the webcam: first, we use the React-webcam npm module to assess if the webcam is on, and we have the requisite permission to access it. This was selected because we had built-in React callbacks that allowed us to display messages to the user based on their camera status without leaving the React component that they were in. When we went to hook up TensorFlow’s PoseNet, however, we ran into some issues getting points out of the React-webcam module, so we built our own webcam system using the getUserMedia request in the JavaScript DOM to bypass parts of React and allow us to pass camera data directly into TensorFlow.
To access the video stream from a mobile device, and pair it to the computer, we have large parts of the flow working, but there are still some gaps just based on what we could implement in the limited time frame. The full process, however, is the QR code-generator npm module creates a unique QR code for each user on demand, they scan that QR code with the Flutter app, which once they allow access to the camera on their mobile device gets streamed via webSockets through a Google Kubernetes Cluster we’re using as our Real Time Communication server back to the front end website. This, once fully completed, will allow the user to utilize the generally better camera on their phone to act as the controller, while still using the larger computer screen to view the poses they need to make, and use the generally more powerful computer GPU for the TensorFlow PoseNet analysis.
When it came to calibration, all of the data was collected via PoseNet, and the handlers are pretty standard React. We did do a lot of work to verify that there was only one active instance of anything running PoseNet at the same time, but we’ll talk more about that in the challenges section. Likewise, when it came to randomly generating and displaying the poses, all of that was standard TypeScript libraries; we wrote our own algorithms to handle all of the generation and display (as discussed in the challenges section).
Finally, in terms of scoring and recording high scores, those features are still only partially completed and not yet deployed because we found that it was too difficult to make some of the randomly generated poses (thus it was kicking you out soon into the dancing, which didn’t make it much fun). All of this processing, however, because it is so math intensive to match all the different poses up to see if they match, and because there is such a wide scope of user data required to store and retrieve high scores, will be handled via a backend built using serverless functions. Firebase Functions allow us to not only offload processing of the scoring to a more powerful server so that it does not freeze/crash the user’s machine, but it also restricts the data that is accessible to the user so they only see what should be publicly accessible.
Challenges we ran into
This was our first time using TensorFlow, much less their PoseNet models, so it took a lot of work to get everything set up. For the longest time we were trying to make everything work using pre-built react-webcam features to run the image processing. We tried everything from extracting screenshots to trying to embed it into a canvas to striping the video out of the wrapper and trying to access it directly. Long story short, we ended up with a really weird issue where PoseNet would return the proper confidence values that it had identified each point with, but it returned every point as at (0,0). It was also a lot of work because we were having issues with when a state change would occur in react, the reference would point somewhere else, and it was hard to keep everything in sync. Finally, we just moved to building our own static (and hidden) webcam viewer on the index.html page of the site where we could access it without ever needing to deal with React via the regular JavaScript DOM. Once we got this working, PoseNet started working perfectly.
The next major challenge that we ran into was how to ensure there were no competing copies of PoseNet running. Because each of the PoseNet analyzers needed to return the pose back to React so that we could render it (and the video, since we were not using the react-webcam anymore) onto a canvas for the user to see, we needed to create a new instance each time the React state rerendered. However, because these were recursive listeners that fired as soon as the previous frame was done, this quickly became CPU intensive, and computer crash-y. To solve this problem, we built our own “factory” functions so that upon a React render, a new serial number was assigned. Then, each time any function ran, it checked if it’s internal serial number against the master serial number that should be running (i.e. the last one created). If the serial numbers did not match, then we know that the functions should not be running, and we could terminate the recursion and prevent duplicate returns. This also allowed us to solve the issue of PoseNet running even after we turned the webcam off, until it crashed the app. By setting the serial number of the “active” function to 0, then every function terminated on the next time it tried to recurse, and we solved our infinite stack issues.
Finally, we spent a lot of time generating the poses for the person to dance to. To turn a generic dance move into something that fits each person’s aspect ratio, we used the angle of the limbs, and the length that the computer saw as the generator. This allowed us to represent complex 3D poses in two dimensional figures that we could rescale the limb lengths we measured in calibration, so that the point matching of a dance move works for any person. Obviously while we did our best to determine how all 3D ranges of motion can appear in 2D my angling and scaling a image, we still have some work to do, but we’re very proud of our technique (even if we just need to tweak the parameters). The rest from there was just a lot of Trig.
Accomplishments that we're proud of
This was our first time using TensorFlow, so we had a huge learning curve when it came to doing the pose analysis. As a result, we were incredibly proud to have implemented all of the machine learning features that we needed; the rest of the image analysis for scoring is simple vector distance calculations that we can quickly write using the built in math functions. Consequently, we’re really happy that everything from the initialization and calibration to the pose generation and matching is fully implemented, and deployed for anyone to try it.
Likewise, the login and profile system is fully fleshed out and robust, so while it isn’t necessarily the flashiest feature of the app, we’re proud that it was fully implemented (again, so anyone can try it and user login is not a sticking point for demoing the rest of the app).
While there is still more we would have liked to do, both of us have a habit of trying to bite off a 2-4 week programming project in 24 hours, so we’re very proud of everything that is working, and that a minimum viable product has been completed for anyone to use.
What we learned
As discussed in more detail in the challenges section, we learned a lot about how TensorFlow works, and we’re really proud of what we have working.
Likewise, we learned a lot more about how the React DOM and the traditional JavaScript DOM differ and interact, which was a brand new experience for us. We’re certain that there is always more to learn here, so some of our work around seemed a little counter intuitive when writing them, but at the end of the day we learned enough to get everything working.
Finally, this is the first time we have really done anything with live video manipulation, and it was cool to go into more detail about how the media streams were created, provisioned, and then controlled throughout their lifespan. This was also something that tooks some time to figure out, but we learned a lot in the process, and the app now only uses the camera when appropriate, and does not keep the camera provisioned and running even when the display is not visible or required.
What's next for Dance 'Til You Drop
When we came up with this hack idea, we pretty much wanted to try for all of the features that we could. Therefore, what’s next is just mostly working on finishing up features that were only partially completed (like the high score/scoring, and the phone video streaming), refining what we have to work better (making our human-ish poses into human poses), and just adding more variety to the game play (music and sound effects, recording your dance so you can see it and dance to it later, etc.).
Domain.com
Our domain is DanceTilYouDrop.online.
Built With
firebase
firebase-functions
react
tensorflow
Try it out
github.com
dancetilyoudrop.online
hacklarious2020-gcp.firebaseapp.com | Dance 'Til You Drop | Monty Python’s Ministry of Silly Walks meets Just Dance | ['Nathan Dimmer', 'Andrew Dimmer'] | [] | ['firebase', 'firebase-functions', 'react', 'tensorflow'] | 39 |
10,055 | https://devpost.com/software/iplate | Inspiration
One of my friends and I were joking around about old school apps. We came up with the idea of iplate and to create a cringey and funny infomercial ad as our presentation.
What it does
It is an application that is available for android, ios and website. It gives you 6 different options of plates to eat food off of.
How I built it
I used React-Native, and the Atom Editor to do this
Challenges I ran into
So many problems. I don't have any app development knowledge nor Java knowledge so when creating this app, I had to follow a tutorial. Then to do the specific application I had, I had to continuously search for different ways to do it, until I ran into "States"
Accomplishments that I'm proud of
Able to create an app useable on android and ios, and is workable.
What I learned
Learned about states, JS, react-native, app development (minimal) and further developed my coding
What's next for iPlate
Add a reminder to drink water
Running Demo
Computer open
Use this third link to access my expo. Go to open project browser and open project. Scroll down to "open project using expo" (click and drag for scrolling)
Mobile open
The second link might work for a demo, but requires expo to be installed on mobile device. This might not work because I need to host it
Take a look at the github, unfortunately the folder "node_modules" was too large to upload. The App.js is available to view
Built With
javascript
json
native
react
react-native
Try it out
expo.io
expo.io
github.com | iPlate | Replace all your plates with the iPlate. A digital application used on apple, android and computer to replace your plates and put food on.... in style. | ['Binh Nguyen'] | [] | ['javascript', 'json', 'native', 'react', 'react-native'] | 40 |
10,055 | https://devpost.com/software/gmail-vibe-meter | vibe_results_1
vibes_results_2
welcome_page
Gmail-Vibe-Meter
Since information overload is a problem we are confronted by daily, each with their own impact and emotion, it would be easier if we could have a little preview of what we received, such that we filter non-sense, outright negative texts, or simply have a quick idea of the content. Gmail-Vibe-Meter intends to do just that, applying a sentiment and entity analysis on the email at hand in order to offer you a short report of what is within it, all for a stress-free experience, leaving you to enjoy that morning coffee :)
Lessons
I discovered that we can help people even in the most silly ways. Applying machine learning algorithms and getting email 'vibes' seems like a funny idea, but when I looked at how people interact with digital content, I quickly observed that was one of their criteria, the 'sentiment', the 'good or bad vibe' they felt was present in what they read/observed.
So, one major lesson is that people will always appeal to sentiment to filter content in their lives, and making tools to help them keep their 'vibe-record' clean is a step forward .
On another note, this was a beginner's project. I managed to learn countless things about programming and structuring my code, as well as how to write a useful app in the given time of the hackathon, researching and putting ideas together into code.
How it was built:
I have written everything with Python and a bit of HTML, all this with the help of the Flask library. The project contains 4 main components:
The Gmail Reading Script: using google-auth and the specific API, I have read the contents of the 'Inbox' and saved them for later analysis
The Natural Language Analysis Script: using sentiment and entity analysis as well as text classification, I was able to structure the code into specific functions and apply them to the message content, in order to get overall score, magnitude and other relevant parameters. In order to display something useful to the user, some conditionals were put into place. This, along with a bit of formatting, result in the small and easily readable report of the gmail vibes.
The Flask Script: this is the basis for the flask server being run in order to introduce the user to the welcome page, then redirect him, upon clicking on a button, to the page where his gmail vibes are displayed.
The HTML documents: this contains the welcome page, where the user is greeted with a short message, then a button that redirects to the vibes page. Everything was designed with a minimal design in mind, in tune to modern preferences.
Challenges:
perhaps one of the biggest challenges was the natural language processing and making it work such that it provided information was relevant to the user. The parameters had to be interpreted accordingly and degrees of measurement had to be put in. There is room for improvement here.
another challenge was the gmail API interaction, since the content had to be selected carefully and the snippets selected in such manner that they do not overflow
Improvements:
The UI can be significantly improved, adding a more friendly and colorful experience
The formatting of the vibe report can be updated to include either more info or simply be prettier
There are some optional parameters commented in the code, they could be enabled should the user wish that
Speaking of which, more user interactivity can be employed, like allowing the user to activate/deactivate some parameters,
or jump to the mail link if he wishes to see it, or perhaps see a small snippet of the message
Conclusions:
We think the Gmail-Vibe-Meter can significantly contribute to solving the information overload problem we face everyday.
By being provided with small, quick-read reports about the content of our emails, it empowers users to filter whatever they deem
as unneccesary, or choose to see what could make their day better.
This application participates with <3 at the MLH Summer League Hackathon!
Built With
flask
gmail
google-cloud
google-gmail-oauth
html
natural-language-processing
python
Try it out
github.com | Gmail-Vibe-Meter | An application to measure the vibes of your emails. This empowers users to filter the content they receive in an easier and stress-free manner. | ['Mr. Motanovici'] | [] | ['flask', 'gmail', 'google-cloud', 'google-gmail-oauth', 'html', 'natural-language-processing', 'python'] | 41 |
10,055 | https://devpost.com/software/hackilarious | Baby Racoons
Setting up the Kube Container
Logs from android build
The Native App to check the Livestream
Registered domain name with domain.com: raccoongaze.online
Inspiration
Chad wanted a setup to watch over his baby raccoons.
What it does
A web app where you can watch the live-stream of the baby raccoons, identify them, do live object tracking and other cool stuff, all in real-time.
How we built it
We set up a live-stream using RTSP ( Real Time Streaming Protocol ) and streamed it using a Raspberry Pi from sharing out the LAN into a switch and then we setup a Ubiquiti Unifi AP to get WiFi to the habitat.
We set up a docker container that handled the live-stream performed Real Time Analysis on it using the Google Cloud Platform. (The Video Intelligence Streaming API supports standard live streaming protocols like RTSP, RTMP)
and we then deployed it on Kubernetes.
Now it acted like a proxy for the stream (The AIStreamer ingestion pipeline behaves as a streaming proxy, converting from live streaming protocols to bidirectional streaming gRPC connection).
The output stream along with the labeling and object tracking data was then set up for viewing through a React web application ( with a few easter eggs).
Challenges we ran into
We couldn't get the RTSP set up, we tried various hardware and software fixes.
The Video Intelligence API is in Beta, so documentation was scarce and we faced a lot of hurdles.
Accomplishments that we're proud of
We were able to work remotely across different time-zones, and we were able to pull something off in this short amount of time. As well, we incorporated many technologies in our stack, all while overcoming sleep.
What we learned
Setting up a network for streaming, and using real-time video feeds from the raccoon home. As well, we learned how to incorporate something laid back and cute (raccoons) with an extensive project. Finally, we learned how to tie in the Raspberry Pi video feed to an UI for the user over AngelBox.
What's next for RacoonGaze
Distribution to new mothers, new pet owners, and anybody that wants to keep track of animals, people, or any object!
Built With
angelbox
cpp
css
docker
google-cloud
html
javascript
kubernetes
lan
machine-learning
philips-hue
react-native
ubiquiti-unifi
video-intelligence
video.js
wifi
Try it out
github.com
expo.io | RacoonGaze | A livestream to watch over baby racoons with a fun backend that uses Object detection and tracking to help us take care of them | ['Moses Paul', 'Karl Zhu'] | [] | ['angelbox', 'cpp', 'css', 'docker', 'google-cloud', 'html', 'javascript', 'kubernetes', 'lan', 'machine-learning', 'philips-hue', 'react-native', 'ubiquiti-unifi', 'video-intelligence', 'video.js', 'wifi'] | 42 |
10,055 | https://devpost.com/software/hypemail | Inspiration
hype is love, hype is life
What it does
cc
hyperobot@hotmail.com
while the flask server is running and you'll get the best hype you've ever received
How I built it
Python, Flask, O365 package
Challenges I ran into
I wanted to use gmail api at the start but I needed more permissions and I had to switch to office 465
Accomplishments that I'm proud of
What I learned
Flask and intergrating database
What's next for Hypemail
Change the hype message based on email content via nlp
Built With
flask
office-365
python
Try it out
github.com | hypemail | hype man for email, hype up your life and your conversation | ['Victor Awogbemi'] | [] | ['flask', 'office-365', 'python'] | 43 |
10,055 | https://devpost.com/software/flying-bird | Inspiration
I got inspired on my own when I was thinking of a project for hacklarious, that this time I should try to build a game and how exciting it would be. So, i tried something new this time.
What it does
When the game starts, the bird is flying and to cross the obstacles only one key i.e., a spacebar is used and if the bird touches the obstacle the game restarts.
How I built it
I only built it using html5 and javascript, as before this event I was never that much confident enough on my javascript but today I realised that working on javascript projects is also amazing.
Challenges I ran into
Coding in javascript was the only biggest challenge for me.
Accomplishments that I'm proud of
I'm proud of myself that I successfully created a game mainly based on javascript which I wanted to do from long time.
What I learned
I knew java script basics from beginning but some concepts were new for me and learned it while building this game.
What's next for Flying Bird
Thinking of to make such games more and more and will think of to make changes in this project too after learning a little more on javascript.
Built With
html5
javascript
Try it out
github.com | Flying Bird | Making a bird fly with only one key and if it touches the obstacles then the game restarts. | ['Lypsa Shah'] | [] | ['html5', 'javascript'] | 44 |
10,055 | https://devpost.com/software/the-undecided-project | Inspiration
I had a look at what domains were offered by Domain.com, and the options were .space, .tech, or .online. I decided to find what is called a
domain hack
, which is an website URL which is a sentence or phrase. I though back to previous hacker-style projects, and remembered something I designed for Google Code-in 2018. Two years ago, I designed a sticker for attendees of the Wikimania conference to show that they need space, and dislike crowds. As this is a funny-themed hackathon, I decided to spin my project on that.
Idea
As the hackathon occurred mostly overnight, when I was unable work on the hackathon, I am just submitting the domain name and idea for the 'Best Domain Name from Domain.com.'
As such, I have created the website, and UI design, although I haven't had time for fully working prototype.
Built With
github
heroku
html5
python
qrackajack
Try it out
i.needpersonal.space | I Need Personal Space | Every person needs some personal space. We'll give you one, for free, forever. | ['Isaac REDACTED'] | [] | ['github', 'heroku', 'html5', 'python', 'qrackajack'] | 45 |
10,055 | https://devpost.com/software/ridiculous-name-generator-ring | Screenshot of the app
Inspiration
I always have trouble naming my character when I play a role-playing game. I decided for the spirit of Hacklarious's humor, I would create a name generator that generates unconventional, downright outrageous, sometimes funny names that can be pronounced (with a bit of effort).
What it does
RiNG generates a random name by picking alphabets semi-randomly and assemble it with a simple blueprint that I designed. The names generated should be pronounceable, and the app features a built-in speaking assistant that speaks the displayed name for you if you are having trouble speaking it.
How I built it
I used Android Studio as my IDE and java as primary language. Maven plugin was used for importing java library from Maven Central.
Generex
was used to convert a regex expression to a random corresponding String.
TextToSpeech was utilized so the app can speak the generated name.
Challenges I ran into
This was my first time using java library as a component of my Android app. It took quite of trials to get it right. Also, it was my first time creating a "pretty" mobile app as I only developed simple apps with no furnishing up to this point (I never used custom background image for instance).
I am not good at video editing, so it took quite of time to make a demo video.
Accomplishments that I'm proud of
I am quite proud of how much I have created with limited time. Although the app is quite simple, the app looks very nice (and quirky), which was more than I have expected to achieve. I also learned so much during a day which I will discuss at 'What I learned' section below.
What I learned
I learned how to properly customize my app with custom colors and background. I also learned how to use Maven to import other java libraries. Programming aside, I also improved my video-editing skill.
What's next for Ridiculous Name Generator (RiNG)
The app does have a bug where it spell-out the name rather than speaking it. The next step of RiNG development would be improving the algorithm of name generation so that more pronounceable names and less unpronounceable names would be generated.
Built With
android-studio
java
Try it out
github.com | Ridiculous Name Generator (RiNG) | Always having trouble naming something. This android mobile app generates a ridiculous name for fun. | ['Taehyeon Kim'] | [] | ['android-studio', 'java'] | 46 |
10,055 | https://devpost.com/software/realityescape | Inspiration
We wanted to try something new this time, so our team decided to make a website and a game! We wanted to make something that was fun to play and also fun to make. We hope that our website will help you not to be bored. It was quite difficult for us since we have never made a game before for a hackathon, it was our first time.
What it does
We made a website and a unreal engine game in which is connected to google firebase, all your stats data is stored and displayed on the leaderboard, making this a multiplayer game. The purpose of the game is to find your way out of a coranaBot infested world. There are evil robots always on the hunt, for you. You must find your way and pick up the clues that your father has left for you, every step is one step closer to finding the cure.
How we built it
My team and I used unreal engine to make the game and we used HTML and CSS along with Firebase to create the website.
Challenges we ran into
There were many challenges that we ran into, during this build. At first, we didn't know how to build the game, we were thinking about unity and javascript, but we ended up using unreal engine. Unreal engine doesn't have an official firebase plugin, so were not able to directly connect the user's score to the leaderboard, so we had to improvise and make the user input the score manually.
Accomplishments that we're proud of
Our team is proud that we were able to create both a website and an amazing game in this limited time period. We have never tried making a game for a hackathon before, so this was our first time.
What we learned
We learned many things during the process of making this project. We learned how to connect firebase with javascript and also how to create unreal engine games.
What's next for RealityEscape
We hope that we are able to integrate RealityEscape into the website in the future so it can't only be played as a desktop game. We also hope to migrate the game to unity so that we can use firebase with it.
Built With
bootstrap
domain.com
firebase
firebase-realtime-database
google-cloud
jquery
unreal-engine
Try it out
realityescape.online | RealityEscape - Multiplayer | With all the Corana going around, we no choice bu to stay home. But why not escape this reality and venture into a new one? RealityEscape is the best game to do so! | ['Pranav Krishna', 'Kushagra Singh', 'Shabd Veyyakula'] | [] | ['bootstrap', 'domain.com', 'firebase', 'firebase-realtime-database', 'google-cloud', 'jquery', 'unreal-engine'] | 47 |
10,055 | https://devpost.com/software/the-most-useless-software-ever | Inspiration
The theme of hacklarious was to build something silly while trying to learn something new. Taking inspiration from one of the silliest hardware projects:
link
We decided to build something similar but just in software
What it does
Just a simple website that has a large button and when a user clicks the button the server hosting the website is killed and a message is relayed to the user "I was killed, please restart" in a funny way.
How I built it
Python + Flask + SocketIO for the backend
Javascript + jQuery + HTML for the frontend
Categories of submission:
We are also submitting 2 domains for the funniest domain on domain.com :p :
uselesstech.tech
themostuselesswebsiteever.tech
The plan was to host our project on these domains, but unfortunately could not get it in time to work
Challenges I ran into and what we learned
Both team members were only experienced with low level embedded programming before this (C and Assembly) and a little python for scripting purposes only. Therefore the biggest challenge with this project was to learn enough javascript + jquery + Flask + WebSockets in 24 hours to implement this project
Built With
html5
javascript
jquery
python
Try it out
github.com | The Most Useless Software Ever | A website that does nothing except when a user presses a button kills the server and informs the user in a funny way | ['anant semwal', 'Abbas Jhabuawala'] | [] | ['html5', 'javascript', 'jquery', 'python'] | 48 |
10,055 | https://devpost.com/software/muskmyname-com | Inspired: Memes about Elon Musk's son's new name
What it does: Generates a name for you based on Elon Musk's new son's name
How we built it: We used javascript, html, and css to make a website.
Challenges we ran into: Lots and lots of regex logic problems, also trying to figure out how to load the DOM before loading our js so that we stopped getting undefined errors. There were also a number of issues we ran into while doing the CSS where we couldn't figure out how to make the image stretch across the screen correctly.
Accomplishments that we're proud of: We were really proud when we figured out how to connect all of the html elements to the javascript code. It was also exciting when we finally fixed some of the regex problems that we were having.
What we learned: We learned a lot about how to use regex in javascript and also how to interact between html, CSS, and javascript. We even learned some stuff about photoshop as well.
What's next for muskmyname.com: Improving the algorithm to have more variety and work better with different names.
P.S. We did purchase the domain but the problem is that google cloud hosting takes a day to verify that domain so the site is not up yet.
Built With
css
domain.com
google
html5
javascript
regexlib
Try it out
github.com | muskmyname.com | Elon Musk might not be your daddy but you can pretend with our Elon Musk name generator! | ['Sungyuk1 Kwon', 'Rami Souguir', 'Owen Saad'] | [] | ['css', 'domain.com', 'google', 'html5', 'javascript', 'regexlib'] | 49 |
10,055 | https://devpost.com/software/ip-man-aelfmh | IP Man: Giver of IP, Drinker of Soylent
Website
Inspiration
I had been having trouble connecting my laptop's VPN to my phone's hotspot. The process of troubleshooting involved going to sites where I could find my IP and corresponding location so I could make sure my IP was hidden. These sites were often extremely boring with one-color UIs, uninspired logos, and too much boring text. That's why I have created IP Man, a website to make finding your IP just a little more exciting. Just like the movie, IP Man's competitive nature adds a sense of excitement and intensity. Now, ensuring internet privacy is
fun
!
What it does
When the website is accessed, your IP is presented between two, more high profile elements to prevent eavesdropping from others. Relaxing music plays in the background to ease IP frustration and make the entire process entertaining. While you wait for your VPN to reconnect, you can watch the code and visualization of the
most efficient sorting algorithm
. Going to the website also earns points for your location, which are shown on the leader board. Can your city make it to the top?
How I built it
I used Python and Flask for the backend, mainly to handle MongoDB Atlas data. The Flask server then renders the website, which has an embedded YouTube video and internet speed test widget. JavaScript was used for the code typing animation and W3.CSS was used for formatting the table. I also used Google Fonts because no text editor uses Times New Roman (I hope). The website is hosted on Heroku with a custom domain from Domain.com.
Challenges I ran into
The biggest challenge I faced was working on the frontend. In previous hackathons, I have mostly worked on backend. Deployment also took a lot of time, and I had a few hiccups with the typing animation for the code/title.
Accomplishments that I'm proud of
This is the first hackathon I've worked on completely independently! This is also the first time I've used iMovie for editing a long video (took so long lol).
What I learned
I learned how to link Flask/Heroku apps with a custom domain, how to use a Google Font, how to edit video on iMovie, and a lot of CSS things but prob not enough.
What's next for IP Man
Cleaning up the UI, adding more functionality (I couldn't figure out how to add LeetCode in an iframe), and
more memes
.
Built With
flask
github
google-fonts
heroku
html
imovie
javascript
mongodb
mongodb-atlas
openspeedtest
pymongo
python
w3.css
youtube
Try it out
www.ipman.tech
frozen-inlet-31247.herokuapp.com | IP Man | Finding your IP, competitively! | ['Bryant Hou'] | [] | ['flask', 'github', 'google-fonts', 'heroku', 'html', 'imovie', 'javascript', 'mongodb', 'mongodb-atlas', 'openspeedtest', 'pymongo', 'python', 'w3.css', 'youtube'] | 50 |
10,055 | https://devpost.com/software/passstep-a-pascal-s-triangle-step-tracker | Inspiration
As the world struggles to cope with the Covid-19 pandemic, keeping ourselves fit has become more and more important! However, all fitness trackers are fairly similar. You strap them to your wrist and they just tell you how many steps you have taken.
Inspired by these mundane devices, we decided that the humble step counter was in need of an upgrade. Not only did we want a device which counts your steps, we also wanted this device to be appealing (hence the fancy, large LED matrix, okay it isn't huge, but it is bigger then the average fitbit display). Once we had the design down, we knew we needed a special way to display the number of steps taken, so we settled on Pascal's triangle. Not only does this device track your physical workout, it also provides you with a mental workout!
What it does
The PassStep tracks your steps and displays them using Pascal's triangle. How? Well, it's quite simple! Each LED represents the centre value of a row on Pascal's triangle. For example, one LED represents row zero, who's centre value is one, so if one light is on, it means you took one step. On the other hand, if 6 lights are on, the centre value of the 6th row of Pascal's triangle is 20, so if 6 lights are on, you have taken 20 steps.
But how do you calculate how many steps you have taken? It is quite simple, all you need to do is count the number of lights currently on when you push the button, this is your "n" value, then divide that value by 2, and round to the nearest whole number, this is your "r" value. You can then compute "n choose r", and you will find the number of steps you have taken! Approximately. As you get higher, the accuracy decreases. If you don't have your graphing calculator on you, then the mental workout comes in as you must compute n choose r in your head, which may prove challenging.
How we built it
The build is quite simple, the three main components are the microcontroller, the LED matrix, and the mercury switch. Normally step tracking is accomplished with an accelerometer, however we did not have one, so we ended up trying a couple different solutions. The first thing we tried was a vibration sensor, which proved too tough to trigger when you take a step (unless you are a really heavy walker). The solution which worked was a mercury switch left in its on state. When you take a step, the little ball in the switch skips and disconnects the circuit. This is detected by the microcontroller, and a step is counted. This proved to be a simple, yet effective step counter, I hope to experiment with it more in the future! It did introduce one bug, which was when you turn the step counter over, the switch disconnects and starts registering steps, even if you aren't stepping, but this can be easily fixed with a little more tweaking in the code. It just wasn't worth the time, and we figured it was more fun to leave it in for the first prototype.
The rest of the build is fairly self explanatory, we used a simple LED matrix, and hooked it up to the arduino and used multiplexing to light up multiple rows at once. Currently it still requires the computer to be attached to provide power (I couldn't find a suitable power supply) but the next iteration will certainly stand on its own!
Overall this is a fairly simple combination of parts, but together they make something which otherwise would be much more complex, and require much more advanced tech. So it is cool to see how easy it is to simplify complex things when you are willing to sacrifice a little performance!
Challenges we ran into
The biggest challenge was a late start, originally we had a plan for an android app for a completely different idea, but found ourselves in a little deep over our heads, so we ended up dialling it back and sticking to hardware, something we know a little more about and are a little more comfortable with (we know, we are backwards).
Other then that we had a few issues with compatibility between the LED matrix and the breadboard we were using, hence the awkward mounting, as the matrix was found at a surplus store, so was not meant for hobby use. Additionally, the breadboard prototype got a little complex, and ended up a little more flakey then we had hopped, especially after I dropped it. Hopefully once we find the time to make it a little more permanent, it will be more reliable!
Accomplishments that we're proud of
I think we are probably most proud of that video, it was fun! And overall just being able to complete the project in a reasonable amount of time (most projects take us FOREVER).
What we learned
I think the most important thing we learned is to not try something completely new during a timed event. It is important to learn new things at hackathons, but it probably isn't a great idea to download a completely new development environment and try to code your project in a language you've never used before.
Next time we'll just have to recruit someone with a little experience in the project we choose to pursue! Ultimately though, it was for the best, we are very happy with out project!
What's next for PassStep - A Pascal's Triangle Step Tracker
The next step would probably be to solder it more permanently, and maybe a 3D printed case. We also want to transfer over to an attiny from the arduino nano, to make it a bit more compact, and more efficient. At that point if we are still interested, I guess the next step would be to get some PCBs made, and maybe try putting together a kit? If you would be interested in building your own PassStep from a kit, definitely let us know! It could be fun to put one together.
Built With
arduino
c++
ledmatrix
mercuryswitch
Try it out
github.com | PassStep - A Pascal's Triangle Step Tracker | Do you want a mental work out to go along with your physical workout? Then this is the step tracker for you! The PassStep displays your steps using Pascal's Triangle leaving you to calculate the rest. | ['Nanik Adnani', 'Aidan Chaplin'] | [] | ['arduino', 'c++', 'ledmatrix', 'mercuryswitch'] | 51 |
10,055 | https://devpost.com/software/tigerman-filter | Inspiration
After binge watching the Tiger King we knew exactly what we wanted to create.
What it does
Using the Spark AR frame it applies a real time filter to your face transforming you into the one and only Tiger King.
How we built it
With SparkAR
Challenges we ran into
We couldn't figure out how to get a 3D Mullet to properly attach.
Accomplishments that we're proud of
Mustache is on point!
What we learned
How easy it is to use SparkAR
What's next for TigerMan Filter
A matching Carole Baskins filter.
Try it out
github.com | TigerMan Filter | We created a Joe Exotic instagram filter using Spark AR | ['Richard Rosenthal', 'Emma Rosenthal'] | [] | [] | 52 |
10,055 | https://devpost.com/software/eileen | Exploring Asian Canadian culture
Inspiration
It was based off of a visual novel because we thought that it would be interesting to make some form of story idea through coding. This was our first ever coding project and we thought that it would be nice to have something challenging.
The story itself is based off of way too common Asian families abroad story and we thought it would be fun to poke at something that happens to all of us
What it does
it is a short visual novel for fun because we wanted to include our Asian Canadian heritage into something fun and relatable
How I built it
we built it through Ren.Py and used a variety of drawing apps on the tablet
Challenges I ran into
It was really difficult as this was out first coding project. But we did make it through with the help of the internet.
Accomplishments that I'm proud of
We are proud that we finished this overall. It was really difficult (perhaps including some screaming at the computer) but we did prevail and we are very proud of that.
What I learned
How to use Ren.py as well as drawing apps
What's next for Eileen
We are not quite sure but we might further develop it into a physical interactive novel once we get the coding stuff done
Built With
ren.py
Try it out
github.com | Eileen | A short visual novel | ['Maggie Hou', 'Julia Ma'] | [] | ['ren.py'] | 53 |
10,055 | https://devpost.com/software/dear-collegeboard-a-google-slides-manifesto | Inspiration
AP Exams are happening. Online. And I have feelings.
What it does
Tells you my opinions on the 2020 AP Exams
How I built it
Google Slides, mate. And Creative Commons stock images + YT screenshots
Challenges I ran into
Scaling the project down for time purposes
Accomplishments that I'm proud of
I tried to look for positives in the current situation of many students.
What I learned
You don't have to make every project a massive, changing the world hack. Sometimes you can just be silly and simple, and that's valid too :)
What's next for Dear CollegeBoard- A Google Slides Manifesto
Expansion ? Video series? Filter? idk it's happening in the 2 weeks if ever.
Built With
google-slides
powerpoint
slides
Try it out
docs.google.com | Dear CollegeBoard- A Google Slides Mini Manifesto | I Made a Presentation in 15 minutes | ['Samyukta Iyer'] | [] | ['google-slides', 'powerpoint', 'slides'] | 54 |
10,055 | https://devpost.com/software/memes-of-2020 | January memes
Home page cover
Home page content
Inspiration
In the midst of the COVID-19 outbreak, we're probably all bored at home doing nothing but sleeping in, playing video games, and binge watching our favorite TV shows/YouTube channels. The goal of this page is to share some information about memes created this year so far; many of which are based off of current events.
What it does
An index of the dankest memes/memeworthy content on the internet as of April 2020.
How we built it
Using Google Sites. no coding or HTML/CSS was needed.
Accomplishments that we're proud of
The clean user interface thanks to Google Sites.
What we learned
Dank memes bring big dreams
What's next for Memes of 2020
Continuing to update the site with new content
Built With
google-sites
Try it out
sites.google.com | Meme News 2020 | A compilation of the dankest memes in 2020 thus far | ['Jerry Wu', 'Caglar Araz', 'Kail Doucet'] | [] | ['google-sites'] | 55 |
10,055 | https://devpost.com/software/autodad | Inspiration
Time to take a break from serious projects. AutoDad is a robot which will brighten up anyone's day. Be the man of the inbox and have your email automatically send a dad joke as an auto-response. (Honestly, I've always wanted to have an auto-email, and this was my chance to make it.)
What it does
AutoDad reads through one's inbox. It will respond to all the unreads with a Dad Joke.
How I built it
I used UiPath Automation and took on a new aspect: the inbox.
What I learned
I learned how to use UiPath's Message library and do more than just OCR and clicking around. I learnt how to deal with Messenger objects. I also learned how to connect UiPath with my inbox.
Built With
uipath
Try it out
github.com | AutoDad | How to be the best dad of your inbox | ['Shreya C'] | [] | ['uipath'] | 56 |
10,055 | https://devpost.com/software/rastroapp | #fightCoronaVirus
Brief description of the project.
Rastro is a Information and donation management platform, an intuitive decision making platform where government agencies, hospitals, health centers and suppliers/donors can quickly and accurately gauge current supply. Rastro is helping to save lives by connecting hospitals and health centers with donors and manufacturers of personal protective equipment to combat COVID-19 and other diseases, we guide manufacturers and donors to publish/release product information required by hospitals in the country.
Usage
This project was bootstrapped with
Create React App
.
Available Scripts
In the project directory, you can run:
npm install
To install the dependencies package.
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
Google Analytics Setup
This template uses the
React Google Analytics Module
.
In order to track visitors, you need to set an
environment variable
called
REACT_APP_GA_CODE
storing your
GA Tracking ID
.
Built With
css
html
javascript
Try it out
github.com | rastroapp | An Information Application about COVID-19 Pandemic | ['Daniel Sselugo'] | [] | ['css', 'html', 'javascript'] | 57 |
10,055 | https://devpost.com/software/wasteyourtime-online | Micro:bit
GIF
Throbber
Inspiration
We wanted to build something unuseful with an artistic scope.
What it does
wasteyourtime.online does absolutely nothing. It displays a throbber
(loading thingy)
and after a while asks you to reload the page by clicking on a button. The bonus project with a Micro:bit also doesn't do anything. It just flashes the leds so it looks like it's displaying a throbber.
How we built it
We built the webapp using
Flask
. We made the template with
HTML
, and the alert function with an embedded
Javascript
script. The throbber thingy was designed in Photoshop and animated usign After Effects. We deployed the app on Heroku. We also have a Domain.com pointingto the Heroku app. The micro:bit program was made in Javascipt as well.
Challenges we ran into
Making the GIF for the loading animation was quite dfificult. Our plans at first were to make a very long, elabroate and frustrating GIF, but we encountered many problems while exporting such a big file so we decided to keep it simple. We aslo had some trouble with deploying the app to Heroku. Finally we were afraid that our Domain.com domain wouldn't work because it showed an error.
Accomplishments that we're proud of
We are proud of having deployed an app from start to end, including making it available on a domain. This is something neither of us had done before.We are also proud of our little throbber Throbby, it is like our son. We are also happy to have made
hardware
a part of our project.
What we learned
We learned about animating and GIF-making, like a ton, you wouldn't believe how difficult it was to render it succesfully. We also learned how to deploy a project into production, which was a first time for both of us.
We also learned it's called
T-H-R-O-B-B-E-R (throbber!)
don't forget it!
What's next for wasteyourtime.online
Um...Is it still loading?
Built With
html5
javascript
micro:bit
photoshop
python
Try it out
wasteyourtime.herokuapp.com
github.com | wasteyourtime.online | Loading... | ['Clara Rull', 'Pau Gironès'] | [] | ['html5', 'javascript', 'micro:bit', 'photoshop', 'python'] | 58 |
10,055 | https://devpost.com/software/signup-login-boilerplate | Preview Image
Inspiration
So, one time a friend came to me and ask she had made a simple Todo App but it's not connected with a database so if I would help her to connect it. But the problem was simply connecting the app to a database like MongoDB is not sufficient there has to be signup/login functionality to restrict people from just filling up the database with random junk. So there came the idea of creating an open-source boilerplate which anyone can use to quickly integrate sign/up login in their apps.
What it does
** It is a boilerplate which you can just download or clone and integrate in your app. The integration is pretty simple and you just have to add your personal firebase project config and nothing else and it is ready to go. **
How I built it
I wanted it to be used by anyone from Reactjs developers to complete beginners so I kept the tools simple and just made it with HTML, CSS and javascript, nothing too fancy. used a few API like firebase and material-ui. I then used GitHub-buttons to add download and start the option of the original repo on Github.
Challenges I ran into
Well figuring out how to verify users by sending them verification email was very challenging for me.
Accomplishments that I'm proud of
_ I am really proud that this boilerplate will not only help me but many other people in the future. _
What I learned
Different Firebase methods and their uses. How to buy Domains, connect them to our website and different new technologies like DNS, SSL etc.
What's next for Signup/Login Boilerplate
I plan to make the same infrastructure using different stacks and technologies like MERN, express, MEAN, MEVN, Nodejs, passport.js etc. so that a person can choose.
Built With
api
css3
firebase
html5
javascript
material-ui
Try it out
github.com
4uth.online | 4uth.online | An open-source boilerplate to quickly incorporate signup/login infrastructure in your platforms, websites. | ['ASHUTOSH KUMAR SINGH'] | [] | ['api', 'css3', 'firebase', 'html5', 'javascript', 'material-ui'] | 59 |
10,056 | https://devpost.com/software/smart-faucet | Check out my interview with MLH!
View on YouTube
Inspiration
Fresh water is one of the most important natural resources we use every day.
Studies show that before COVID-19, the average American used around 100 gallons per day (including laundry, dishes, bathroom, etc.) And with all of the extra hand washing we’re doing now (at least 20 seconds of scrubbing, many times throughout the day) that number is probably much higher.
Most of us leave the water running while we brush our teeth and wash our hands. We’re not using it to rinse off, so all of that extra water going down the drain is just wasted.
In fact, estimates show that the average American wastes about 20 gallons a day just on washing hands and brushing teeth! Over the course of a year, that’s enough drinking water for about 20 people. That’s a pretty scary number when you consider how many people live in drought-stricken areas where drinking water is running out!
Now more than ever, it is important for us to take action to preserve this precious natural resource.
I wanted to find a way to help solve this problem by working as an individual, in my own home. When we think of conserving water, we usually think about stopping watering lawns and washing cars, and taking shorter showers. But there are gallons and gallons of water we waste little by little throughout the day.
For example, I noticed that when I washed my hands and brushed my teeth, I left the water running, too. It was just a habit!
I knew that if I could make a few small changes to my daily habits (and to my family’s), I could conserve a significant amount of water each month in my own house. But that’s the tricky part about habits, you do them without thinking about them.
This hack is a solution to that problem. You don’t have to think about turning off the water, because the Smart Faucet does it for you!
What it does
Smart Faucet is an inexpensive and easy-to-use smart home device designed to help you use less water. The device attaches directly to your bathroom faucet, and automatically turns the water on and off when you wash your hands, brush your teeth, shave, etc.. The device then takes your water usage data per sink, and sends it to the web dashboard. There, you can see and manage all of your devices, and track where and when you are using the most water. Although devices designed to automatically control sinks have been on the market for a while, the components of my device cost less than 40 dollars. Other off the shelf smart faucet alternatives cost over 100 dollars. But more importantly, Smart Faucet allows the user to store and analyze their water usage data automatically, revealing any bad habits that are wasting water.
How I built it
Smart Faucet is based on a Raspberry Pi 3, and uses an ultrasonic sensor and a servo motor to control the sink. A Python script analyzes the data from the ultrasonic sensor, and updates a MongoDB Atlas database, recording the real-time usage data. That data then goes to the visualization front end, which runs on React.js, and Nivo.
This project was an eclectic mix of parts, with the servo from an Arduino Kit, and the ultrasonic sensor coming from a Raspberry Pi Kit (along with the Raspberry Pi). Since I’m somewhat new to hardware hacks, there was a lot of troubleshooting that occurred to get it to work! (See more in Challenges I ran into).
Challenges I ran into
The biggest challenge that I ran into was hardware availability. I needed to scavenge for parts between multiple different IoT kits and projects, which made working with the servo “interesting” to say the least. All of the information I had about controlling it was for writing code on an Arduino, and the spec sheet online was in Chinese! After much trial and error, and a lot of erratic flailing, I finally got the servo under control.
When I tried it on a faucet, however, I found out that it was too weak to turn on the water! I went back to the drawing board, working with gears and motor controllers to try switching to a DC motor I had. It ended up spinning too fast, however, and was unreliable. I then went on a great spigot crusade, searching for a faucet that the servo I had could actually open. I finally found one, set up the servo, and it worked!
After that, I needed to set up the IoT data tracking aspect of the hack. I’d never worked with MongoDB Atlas before and hadn’t really worked with databases at all before this hack, so there was a lot to learn, and a lot of troubleshooting. But in the end, it works!
Accomplishments that I'm proud of
I’m proud of getting the whole hack to work at all! Like I mentioned above, the hardware was both new to me, and mismatched. Plus, MongoDB Atlas was a completely new platform for me. Being able to get everything to work together in 24 hours was definitely a stretch goal, and I’m very proud that I was able to achieve it!
What's next for Smart Faucet
In the future, I plan on:
Increasing the power of the servo, so it can work on more styles of faucets
Creating a more robust web app, including
Pairing new devices
Renaming devices
Search
AI to identify patterns and make suggestions on how to reduce water use
Creating a mounting bracket for showers
Built With
mongodb
raspberry-pi
react
typescript
Try it out
github.com | Smart Faucet | The smart way to conserve water. | ['Nathan Dimmer'] | ['First Overall'] | ['mongodb', 'raspberry-pi', 'react', 'typescript'] | 0 |
10,056 | https://devpost.com/software/bayhax | Our logo!
BayHax's dashboard displaying last recorded emotion, most common emotion, and emotions felt today.
BayHax's analytics page graphing emotions throughout the day and giving psychological information about the three emotions.
View a gallery of images taken by BayHax!
Meet BayHax!
The circuit board placed inside of BayHax.
The camera embedded in BayHax's teddy bear's eyes to take snapshots for parents.
The camera embedded in BayHax's teddy bear's eyes to take snapshots for parents.
BayHax teddy bear with emoji icons identifying the buttons to press for happiness, sadness, and anger.
Inspiration
For many young children and children with disabilities, expressing their emotions can be difficult. By the age of two, most children are able to recognize emotions but aren’t able to convey them to others. This can cause distress for both the child and the parent. BayHax aims to fix this problem.
BayHax's name was inspired by Disney's 2014 animated feature film, "Big Hero 6" where BayMax - an inflatable marshmallow looking robot - serves as a personal healthcare companion.
What it does
BayHax is a handy tool for parents to look after their child's emotional health. Inside the BayHax teddy bear is a Raspberry Pi, a Pi Cam, a speaker, and three emoticon buttons that represent happiness, sadness, and anger. Every hour, the teddy bear will ask “How are you feeling?” as a pre-recorded message through the speaker and will prompt the child to press one of the three buttons. The child may also press the buttons at any time, unprompted.
The data from the teddy bear/Raspberry Pi is sent to the BayHax website for the parent to monitor. The website’s dashboard displays the child’s most recent mood while the calendar tracks the child’s mood changes over the period of a day, week, or month. The analytics page offers additional information on the psychology behind a child’s mood, as well as predictions about what time of day the child is the most likely to experience a certain emotion. The monitor page gives you the option to snap a picture to check in on your child. There is also a settings page where the parent can adjust the time interval of the teddy’s prompts, the volume of the teddy’s speaker, and whether or not to receive data.
By using BayHax, parents can get a clear picture of their child’s overall emotional health and become better equipped to handle their child’s mood swings. BayHax can also serve as a therapeutic friend for children to confide in.
How we built it
The first step in building BayHax was to find a teddy bear that we could use to house the BayHax system. We then opened the back of the teddy bear and replaced an eye with a camera. To detect when a child presses the bear, we soldered limit switches to wires which were connected to the General Purpose Input/Output (GPIO) pins of a Raspberry Pi 4. To monitor the child, we installed a Raspberry Pi Camera rev1.3, as well as a standard speaker connecting to the RasPi's 3.5mm jack to produce audio.
For the hardware development, there were four major components: the camera, the speaker, the buttons, and communication with the webapp. The camera proved to be the most difficult, requiring us to hunt through many forums and lots of documentation to find the specific drivers to install and libraries to use. The speaker implementation was relatively straightforward, using PyGame audio to play pre-recorded voiceover files. Limit switches were each assigned to a distinct mood, allowing the button presses to represent the mood of the child. Each of these buttons were marked with an emoji sticker, showing the child where to press when it feels a given emotion. Putting all of these together, upon pressing a button, the camera would take a picture and the speaker would play a comforting voiceover line, such as “Oh no. Please don’t feel that way. You have me!” when the child is sad, or “Yay! I’m happy for you!” when the child is happy. Finally, the id of the bear, the mood, the picture, the date, and the time were combined into a fetch request which was sent to the webapp, allowing it to save the data to the MongoDB database and display data directly from the bear.
We developed the website with HTML, CSS, and JavaScript. We used Chart.js to visualize our data, using repl.it for simultaneous online collaboration. We used MongoDB to store button responses indicating mood when the child pressed a button, as well as images taken as the child indicated their mood. To make the colorful backgrounds on the website, we used Canva.
Challenges we ran into
The Raspberry Pi Camera was hands down the largest struggle we faced in completing the project. Even after following the instructions from Raspberry Pi directly, the camera still refused to initialize. After scouring through forums, we found that the camera connects to the RasPi using I2C, directly contradicting the official Raspberry Pi tutorial. Furthermore, we found that the driver used to run the camera had not been set up properly in the software, and had to install and activate the driver manually in command prompt. After all this, we were able to connect the camera to our Python code and use it to take pictures.
After registering for a domain on Domain.com, the DNS records on the site could not update quickly, so our repl could not be added as a CNAME to the site. Luckily, our team had registered a domain name, and we were able to create bayhax.hexhax.us
When we played recordings, some would play at different speeds, even though they were all being played through the exact same function. We soon realized this was due to differences in sample rates between the recordings and added code to reinitialize the mixer with the sample rate of the audio file before the audio was played.
Accomplishments that we're proud of
We’re especially proud of the soothing and friendly aesthetic of our website. We wanted to create a calming user experience that is both informative and therapeutic. Our design attempts to reflect the special, sweet bond between a parent and child and act as a safe place for one to investigate emotional health.
We’re also proud of the communication between the Raspberry Pi and our website server to visualize the child’s moods over time. The Raspberry Pi embedded in our stuffed animal sends updates to the website just one second after the child pushes a button.
What we learned
On the software side, we learned that using grid containers are much easier to use to layout graphs and team photos instead of floats. We also learned how to efficiently use and structure a database. We also learned how to dynamically create graphs and add photos to our monitor page with updates from our database.
On the hardware side, we were able to learn how the Raspberry Pi interfaces with cameras and speakers through python scripts. We also learned how sample rates work, and how they have a drastic impact on the speed at which audio is played at. Connecting the two fronts, we also learned how to establish a connection between hardware and software, sending fetch requests from a Raspberry Pi to interface with a NodeJS server and a MongoDB database.
What's next for BayHax
Going forward, we hope to develop the option of adding multiple children to one profile for parents with multiple kids or potentially for pre-schools. We’re excited to add more voice responses and prompts for a greater variety of interactions. We also hope to have children and parents test BayHax to gain insight into how we can improve the user experience.
Built With
chart.js
css
html
javascript
mongodb
python
raspberry-pi
Try it out
BayHax.kgauld1.repl.co
github.com | BayHax | A Teddy Bear that Tracks Emotional Health in Children | ['Kevin Gauld', 'Jendy Ren', 'Michelle Bryson', 'Ethan Horowitz', 'Christina W', 'John Paul Bunn'] | ['Second Overall'] | ['chart.js', 'css', 'html', 'javascript', 'mongodb', 'python', 'raspberry-pi'] | 1 |
10,056 | https://devpost.com/software/trainer-4khlqn | Inspiration
Due to COVID19, people across the world are unable to learn under the personal mentorship of a trainer, whether it be a fitness coach or martial arts instructor. They are stuck watching and trying to follow videos inside the confines of their homes. This lacks any sort of feedback mechanism, something that is absolutely critical to growth. We wanted to make personal training accessible from anywhere, so we decided to create trAIner.
The project idea originally came to us when we were thinking about the popular arcade game dance dance revolution. The idea of using your entire body to control a game led us to consider making dance revolution with pose estimation, but we wanted to go further and make it more general and applicable to the world today.
What it does
trAIner is an artificial intelligence based personal trainer that uses videos of trainers from across the web to make sure you are exercising safely and effectively. We compare a live feed of a user working out to a video of a trainer, and extract poses and other semantic information from frames to give the user automated feedback in real time. We also designed a novel algorithm for inclusive, generalized rep counting that is exercise-type agnostic.
We allow any trainer to upload their videos where they are automatically tagged by GCP and made searchable by MongoDB Atlas’s Full-Text Search. A user can then follow along with any video with the automated feedback.
How I built it
Normalization and Synchronization of User/Trainer Poses
In order to make sure that we can compare the poses of trainers and users, who might have different heights and body structures, it is important to normalize the data. Specifically, we take a particular corner of the bounding box for all the poses and set it as the origin. As a result, all the poses are translated to the same region. Then, we apply L2 normalization to scale all the poses so that their coordinates are similar.
Now, we have the ability to meaningfully compare poses. When poses from the trainer and user are streamed to the system, we have to be careful with synchronization. If the trainer is doing jumping jacks, since there is some delay in the user’s reaction time, the frames coming in from the user might be off relative to those of the trainer. What we do is keep the most recent trainer pose, and then we compare it to a set of the user’s poses in the next frames. Using a distance function for poses that takes into account confidence scores for the different keypoints (coordinates for body parts), we are able to find out which user pose is closest to the trainer pose. This effectively synchronizes our two data feeds and allows us to provide better feedback to the user.
Automated Feedback
Feedback is automatically generated by looking at the distance between features in the user’s pose and the corresponding feature in the trainer’s pose. Different features considered include the distance between the center of mass of a pose and other keypoints like shoulders and wrists, along with the distance between left and right points such as the distance between feet. Once these features are calculated, we use a simple thresholding algorithm to determine what needs to be changed, then prioritize the feedback based on safety and effectiveness of workout.
Rep Counter
The rep counting algorithm looks at a user’s center of mass and wrist positions over a period of time. If a cyclic motion is detected, then we use percentile crossings and time domain features from a fast-fourier transform to continue counting the number and frequency of reps. It is essentially a specialized, lightweight machine learning model trained on the last 5 to 25 seconds of data to predict reps. These features could also be passed into a random forest model to determine exercise type to more accurately determine the number of calories burned.
Video Labeling and Searching
When a training video is uploaded, we first use the Google Cloud Video Intelligence API to tag the video with labels, then store those labels in a MongoDB Atlas collection. The full-text search uses these tags to dynamically fetch a list of relevant training videos as the user types.
Challenges I ran into
Making accessible and inclusive AI requires a generalizable model. We overcame this by normalizing poses and making our rep counting model completely independent of predefined motions.
The data we are dealing with is sensitive, at least on the client side, since it streams video from the user in his/her home. It was a challenge to shift our pre-existing mindset of doing all processing on the cloud, but we managed to successfully build everything so that no data is ever sent to a centralized server. Everything, from pose estimation to personal feedback, happens locally in the browser, so trAIner is privacy-preserving.
We needed a way to make videos searchable. The problem has been solved for text data by MongoDB Atlas’s FTS, so we wanted to find a way to extract textual information from videos. Transcripts could work, but they may be unreliable. Luckily, the GCP Video Intelligence API allows us to extract labels and tags for each video.
Built With
gcp
mongodb-atlas
posenet
tensorflow
video-intelligence
Try it out
perfectform.online | trAIner | An accessible, AI-powered personal trainer | ['Anthony Zhou', 'Rhythm Garg', 'Ben Taylor'] | ['Third Overall', 'Best use of MongoDB Atlas'] | ['gcp', 'mongodb-atlas', 'posenet', 'tensorflow', 'video-intelligence'] | 2 |
10,056 | https://devpost.com/software/h2flow | Main dashboard with all data
Model flood predictions created from weather and water data coordinates
Data display
Inspiration
In Rochfort, one of the biggest problems we face is seasonal floods and droughts. Often, these floods and droughts are devastating and can destroy crops, cause a lot of water damage, and sometimes water shortages in the town. Unfortunately, these droughts and floods are quite unpredictable and happen almost randomly throughout the year. As a result, many of us live in fear of the next flood or drought, as in the past, we've taken major financial hits due to their un-predictiveness.
What it does
H2Flow is a web app that gives officials and citizens the ability to predict exactly where and when the next flood/drought will be, and the severity of its impact. Essentially, this allows us and others to plan our moves better since we are able to track the unpredictable water cycles. We have a user-friendly front-end that gives them numerical data that is easy to understand and digest, as well as a heatmap with most likely droughts/floods in Rochfort. We believe this will save our town hundreds of thousands of dollars, as a lot is lost to water damage, or water shortages every year, especially crops. In our web app, we also have a report and resources area, where users are able to report abnormal floods or droughts in their area (in order to feed our model more data) and to let them know how they can use our data effectively to protect themselves and their assets.
How we built it
On the backend, we have a Tensorflow/Keras model that returns its prediction on when and where the next flood/drought will be. To display the results, we use Flask to serve our front-end, which shows a heatmap of flood/drought predictions, as well as easy-to-read numerical data.
Challenges we ran into
One challenge we ran into was deploying our backend onto App Engine. It would keep giving us errors every attempt, but eventually, we were able to fix the root of our problem. As well, the dataset we worked with was tough to implement in our model, as it wasn't like a conventional dataset. However, just like our other challenges, we were able to get over them.
Accomplishments that we're proud of
We are proud to have released a model that is able to accurately predict the location and time of the next flood or drought. Not only does this serve as an amazing hackathon project, but we believe it will benefit us in real life. In the future, we will continue tuning and updating our model and web app, so that we can benefit from it as much as possible. From this, we will no longer live in fear of floods and droughts in our town :^)
What we learned
We've learned a lot about front-end on the way, as none of us are experts on front-end, and usually work on backend during hackathons.
What's next for H2Flow
Due to the lack of available data, we were only able to gather data for Rochfort to train our deep learning model. However, in the future, we hope that more water data will be available, allowing us to extend our services beyond Rochfort, and all over the country, and even continent. We believe our service can make a genuine change in protecting lives, due to its accuracy (on the test data), and because of the lack of services that exist like this.
Built With
canadawaterdata
flask
openweathermap
python
tensorflow
Try it out
github.com | H2Flow | Predict Floods and Droughts Before they happen with historical water and weather data | ['Andrey Starenky', 'Jason Li', 'Bill Bai'] | ['Best Water Hack'] | ['canadawaterdata', 'flask', 'openweathermap', 'python', 'tensorflow'] | 3 |
10,056 | https://devpost.com/software/save-the-water-1zxn9w | homepage
cheru's story
instructions
game
game over
success
Inspiration
After attending the Xylem workshops
we were surprised and inspired by all of the stories we had heard.
While doing more research about this issue, we stumbled upon a story about
Cheru, a 5 year old girl who travels for almost 4 hours twice a day to get a kettle full of water just enough for morning tea
. Even at age 5, Cheru knows the worries and daily struggles to drink water that may not even be fresh. She never complains about her trips as she knows it is her
only way to survive.
Her sisters carry much larger and heavier jerrycans to go fill the water. Cheru understands she must get stronger fast to catch up to her sisters. This story touched our hearts and gave us a deeper need to do something about this. We wish we had learned about these issues and stories when we were younger. Being more educated would have allowed us to help in more ways earlier.
This website is dedicated to Cheru. Thank you for being so brave.
Here's our
inspiration
!
What it does
Save the Water is a
web-based game
meant to
educate children and youth
about the
water crisis and water poverty
worldwide. The story and game guides you through a simulation of Cheru’s arduous struggles to find water each and every day. The player
navigates obstacles
like tumbleweeds and birds by jumping and ducking over them as they block their way. Every time
an obstacle hits the player, water is lost
- emulating the difficult landscape Cheru faces bringing water home to her family. The only way to succeed is to
arrive home without having lost all of the water. The amount of water the player begins with is randomly generated (but reflects real circumstances), and the background also changes colour based on the time of day!
How we built it
Within the past 24 hours, our team coded an easy-to-navigate website using front-end technologies including
HTML, CSS and JavaScript
. We involved JavaScript libraries such as
JQuery and JavaScript Canvas
to create the back-end of the game, from moving the character, objects to and handling collision detection.
In the process of developing the UI/UX we created multiple prototypes in
Figma
, testing different colour schemes,
user flows and layouts
to select those that created the best experience. We chose fonts and designed themes that suited our target audience from the solid, blocky illustration to the cute artstyle meant for youth! Additionally, the use of
CSS transitions, typography and colouring
helped to enhance the
interactivity
of our website and provide visual cues to the user on the
information hierarchy
.
Nevertheless, the power of
teamwork, along with the passion and motivation
we fostered in one another allowed us to assemble and create this website to educate and entertain children worldwide.
Challenges we ran into
One of the most time consuming challenges that we ran into was
collision detection
. We struggled to figure out how to ensure the player would detect an object hitting it and on top of that decrease the water bar once they collided. We went through
many tutorials
trying to solve this problem. At one point everything was being detected, but the objects would push the player off the screen.
Another major issue was resolving a problem with our water level bar, as it would only decrease for one collision. This required us to do careful debugging, making use of well-placed alerts and research on variable scopes to realize the variable passed through was only within the scope of the function and was not being saved. Through immense teamwork and perseverance, we were able to solve this problem.
Accomplishments that we're proud of
The
UI/UX design is our most stunning feature
. Everything was
done from scratch, including hand drawn obstacles and the main character
. We’ve got our eyes set on the UI/UX prize! We designed and planned everything in Figma prior to actually coding the website to ensure an astonishing website. We chose vibrant colours and playful fonts to
captivate the younger audience
we’re hoping to inspire and inform with this educational game!
We’re also proud of the game itself. We ran into a lot of bugs and issues that took a lot of patience to fix such as collision detection, issues with our
variable scopes, moving obstacles, and keyboard controls
. Fixing these bugs was a nightmare at times but we managed to resolve them.
Both of these could not have been accomplishments without collaboration. When one teammate grew weary of an issue another came to the rescue! We’re all super proud of the amount of continuous effort and support we gave each other throughout these 24 hours.
What we learned
None of our team has ever designed a fully functional game. All the experience we had with JavaScript prior to this hackathon was adding small features to websites. We learned so much more about JavaScript through designing our game, from experimenting with new
CSS attributes to testing out audio controls, animations, social media SDKs
, and working with libraries like
jQuery.
We learned that
teamwork and collaboration
were one of the key tools to our success in these past hours. Without any one of our teammates, we would not have been able to accomplish what we have. These skills were the driving force behind our accomplishments. When one of us ran into a problem, we would all help out when we could to resolve it. Even though we all had separate tasks every single one of us had a part in each other’s assignments. In addition, when we began to fall behind we continued to motivate each other and persevere through the challenges. *
We were each others’ key to success. *
What's next for Save the Water
Different games to highlight various key issues revolving water.
This would allow the website to be even more informative and be able to educate our population about.
Other
games with more realistic and graphic rendering
would target different demographics to accurately inform and educate older populations about these issues.
Integrating more features related to real-time water data
such as water levels in reservoirs, rivers, and humidity in various locations around the world would create a more dynamic game that allows users to simulate the varying degrees of water poverty around the world.
We would also like to link the data given from Xylem and incorporate tips depending on the time of day, during a drought or a storm. During a drought, the game can give tips on how to save water, whereas, during a storm, it would display helpful reminders and information about flooded areas. By conveying this vital learning into a gamified format, we hope to engage young people in solving the water problem.
Built With
css3
facebook
html5
javascript
jquery
tumbler-sdk
twitter-sdk
Try it out
github.com | Save the Water! | The sun's burning your skin. You're drenched in sweat. You’ve already walked for 2 hours and you’re carrying a jug of water heavier than yourself. Save the water provides awareness for these issues. | ['Kailey Chen', 'Bonnie Chin', 'Grace Gao'] | ['Best Water Hack Runner Up'] | ['css3', 'facebook', 'html5', 'javascript', 'jquery', 'tumbler-sdk', 'twitter-sdk'] | 4 |
10,056 | https://devpost.com/software/easy-entry | I've known many people who are disabled, and have many hardships getting around to public places. For example, my friend's dad was paralyzed from the back down from a biking accident. Since the accident, he's been in a wheelchair ever since. Whenever we meet or go somewhere, he has to always think about if the public place is accessible. Sometimes, he might not expect something and get to an event, but not be able to enter. So, this is what Easy Entry is directly focused on.
Easy Entry is a mobile application that allows disabled users to rate public areas in terms of their accessibility. Many places nearby are automatically detected by the app and many forms of ratings are shown such as stars and written reviews. Most importantly, when a store or place is clicked on, the place will have badges of what they offer in terms of accessibility. For example, one place might have a wheelchair symbol because they have a wheelchair ramp. This app shows disabled people how accessible the place they are going is and allows them to rate the public places they've been to.
The app was mainly built by using React Native. By using this framework, the app is deployable on IOS and Android. For back end, mongodb along with mongoose and mongodb stitch was used but was not completely done.
The main challenge of the app was figuring out how to connect the app to the back end. It was very difficult to connect a react-native app to a mongodb database because it was not as popular to do so and that there weren't many learning resources available. Much persistence and determination helped us pull through to the end.
We're very proud of how we tackled this very clear problem in society through innovating through technology. We feel this app benefits society as a whole and helps makes the lives of so many people easier.
After working on the project, we learned much about how we could connect front-end with back end and also how we could implement much of Google's data in the mobile application. Right now, as the app is only a prototype, we only have local places as examples. The next thing for Easy Entry is to continue to grow the database and expand it, so that people all over the world could use it.
Built With
css
jsx
mongodb
mongoose
reactnative
Try it out
github.com | Easy Entry | Our app is a solution so many disabled people not being prepared for where they're gonna go. It allows users to know who accessible the public place they're going is. | ['Roy Hwang', 'Devon Kim'] | ['Best Hack for Social Good'] | ['css', 'jsx', 'mongodb', 'mongoose', 'reactnative'] | 5 |
10,056 | https://devpost.com/software/fitness-bubble | UI
UI
UI
UI
UI
Inspiration
Staying committed to your workouts is super hard! Everybody in our team has a love-hate relationship with working out. We all have experienced the surge of motivation that gets us through about a week of fitness until laziness, food, and TV become infinitely more enticing and we give up. Additionally, quarantine exacerbates a sedentary lifestyle for most people. We wanted to develop a solution to motivate users to remain committed to their fitness goals. While we were trying to brainstorm the biggest motivators of today’s generation, we could not overlook the power of social media. People can remain committed to posting random pictures of themselves for hundreds of days in a row, but they can’t remain committed to a workout plan for more than one or two weeks? This needs to change! Fitness Bubble combines social media with fitness to motivate people to reach their workout goals.
What it does
Fitness Bubble allows people to stay active in quarantine by motivating people to workout through streaks. People sign up with a shared group name. Inside the group, every individual must workout every day in order to maintain a streak. If someone fails to exercise on a day, then the whole group streak terminates. The streaks act as a motivation to workout. There are three options on the home screen: workout, view streaks with friends, and log out. When clicking on the workout page, viewers can choose different workouts such as lifting and cardio. Each workout is timed. Clicking on a work out leads to a timer screen where viewers can see how much time is left in the workout. They can pause and unpause the timer. After completing the workout, viewers must take a picture of themselves for accountability to ensure that they actually completed a workout. They can view other users’ pictures of the workouts in the friends page. The friends page also includes the group name in addition to the group’s streak length.
How we built it
We used Sketch to make the design for the app. Using Sketch, we detailed the UI designs. We then used XCode and SwiftUI to build the app from scratch. We integrated some of the app’s functions with Firebase such as authentication, the real time database, and cloud storage.
Challenges we ran into
This was our first time using SwiftUI. Since it is a relatively new language, there was not much technical support when we ran into issues. For example, the first issue we ran into was changing the screens. Additionally, integrating Firebase into our project was a challenge because of the Cocoa Pods.
Accomplishments that we're proud of
The app works! Integrating firebase into an iOS app was a new experience for all of us, but we managed to get it to work. Also, we especially like the clean UI of the app. Many fitness apps are cluttered with irrelevant stats that are confusing and ruin the user experience. However, our UI provides an easy-to-use interface that appeals to many users.
What we learned
We learned SwiftUI in less than 24 hours. How to integrate Firebase into Swift-based apps. Also, using the Materials Design guide by Google, we learned a lot about making clean UIs and user interfaces.
What's next for Fitness Bubble
We hope to integrate a maps API to track distance and elevation covered during running, jogging, or biking workouts. Other features we hope to incorporate are more groups to join, and individual streaks.
Built With
firebase
swift
xcode | Fitness Bubble | Motivating People to Stay Active through Social Media Streaks | ['Rebecca Zhu', 'Sahil Mahendrakar', 'Srinath Rangan', 'Suhaas Katikaneni'] | ['Best UI/UX'] | ['firebase', 'swift', 'xcode'] | 6 |
10,056 | https://devpost.com/software/trackforce | Swerve Module 3D Render
Swerve Module 3D Render
Logo
Swerve Top View
Swerve Front View (Attached to Cart)
Electronics Angled View (Attached to Cart)
Arduino Board Top View
Full Cart Setup
TrackForce is a project designed to help #flattenTheCurve through the use of mechanics, electronics, and complex computer algorithms. The device addresses the large-scale usage of shopping carts, door handles, tramps, trolleys, and other types of carts which propagate the virus despite basic sanitization. As such, the TrackForce device was made to minimize surface contact, and this led to the development of a clip-on module that allows contact-free usage of such carts controlled by the user’s hand movements. This idea draws inspiration from science fiction theories like telekinesis, force fields, and The Force from Star Wars, primarily with the intuitive control that we implemented into TrackForce.
The project itself comprises the mechanical actuators that move the cart and control the swerve for turns, the electrical components consisting of an onboard microcontroller that manages all sensor data and the closed-loop control of the actuators, and communicates with the main processing unit which controls the infrared camera used for hand motion detection, and lastly two scripts running PID control and Kalman filtering algorithms for accurate data. The infrared camera detects hand motions and the main processing unit interprets the data and sends a signal to the microcontroller (Arduino) via a serial port followed by local execution of actuator functions. For example, gyroscope based correction was used to prevent deviation from a straight path, and an ultrasonic was used to prevent collisions.
TrackForce consists of various mechanics and electronics that work together to bring this hack alive. TrackForce’s main frame is constructed with aluminum bars held together by steel screws and nylon nuts to increase efficiency of weight and strength. The omni wheel is driven by a steel shaft that is directly attached to 2 7.2V motors that are on a Y-cable. The swerve was controlled by another 7.2V motor on a 1:5 torque ratio to allow for a steady turn. All of this is attached to 4 flaps of aluminum bars that are on hinges that can easily wrap around the bars of the carts, creating a secure, robust connection.
The demo will show a model prototype that highlights the key working principles and logic. A developed product will have a more compact design, a more sustainable power source, and will be integrated in one board. Heavier applications will require stronger and more reliable motors to carry the load. Additionally, the programs will be further improved for reduced latency, smoothness, and maneuverability. These developments open the possibility for this product to extend its contact-free approach to contact-free door handles, heavy item transportation. TrackForce TRACKS your hands and gives you the FORCE.
Built With
arduino
c
c++
dll
ino
java
leap-motion
pde
processing
vex
Try it out
github.com | TrackForce | Contact-free, modular, swerve module movement through IR, IMU, and Ultrasonic input. TrackForce allows you to manipulate objects without direct contact, helping to stop the spread of COVID-19. | ['Jay Katyan', 'CHRISTIAN SO', 'Shishir Sudhaman'] | ['Best Hardware Hack presented by Digi-Key'] | ['arduino', 'c', 'c++', 'dll', 'ino', 'java', 'leap-motion', 'pde', 'processing', 'vex'] | 7 |
10,056 | https://devpost.com/software/green-space | not university hackathon - 2020
Our inspiration
After my father helped me plant a little seedling, I believe it was mint, for days we struggled to water it in our dry climate and protect it from the harsh rays of the sun. I realized that the joy of home gardening is often spoiled by natural factors like sunlight and especially lack of water. After more research, I discovered that poor water quality causes the US to be ranked 7th (i think) in overall water quality. This is why for this hackathon we have decided to make a website that would account for those factors so that gardening would be available for everyone regardless of water conditions and help us save more water whilst doing something productive.
What it does
The base idea
So, the beginning idea was such: a user would visit our website and enter a plant, we would then use the rainfall and the amount of water the plant needed to grow to suggest whether or not the plant should be grown. An early design can be seen here:
Extending the idea
This idea further evolved as we discussed what we should do aswell as analyzing the data that was available to us, we decided to go with water precipitation bounds as that is likely to be the most accurate in the decision of whether something should be planted or not, we also added some extra data for interest. We changed our design to fit our domain name: mygreen.space. The site looks like this on desktop:
As-well as looking good on mobile:
This was the design we went with, we needed some further enhancements, however, the website would crash if people from non-US tried to access and we also needed a search function, so we checked the IP was American and if it wasn't displayed this:
And then we added search which auto filtered to your search term as you typed, so if you started typing lilly it would only show Lilly plants. The final product came to looking like this:
As you can see, in our final product we highlight incompatible plants in red as-well as allowing the user to search for the plant they want and filtering accordingly
How we built it
Coming up with the idea and preparing it
The night before the team rolled into the group vc questioning what we could do for such a broad topic of "water", we spent about an hour or two and between long periods of silent googling and throwing around ideas we ("TheGuy") finally came up with the idea that we would pursue. Our idea was an online web app that would help farmers/hobbyists see what plants they should plant based on the area they live in and the precipitation average over a large amount of years. We had a google around to see if this problem was feasible and computable and it looked it, and with that, we headed off awaiting the next day when the hackathon started.
When the hackathon we started by dividing the problem into different sections which each user could excel their skills in and make the development faster. We were heading for the categories of: "Best Water Hack", "Best hack for social good", "Best UI/UX", "Best Use of Atlas MongoDB" so we made sure that we tailored our solution to these. We split up the categories in the following back end: "c3a", "nemo", "TheGuy" and then "kachang" would float between developing the react side of the website and assisting with the backend. The technologies we incorporated were: Flask (backend), MongoDB Atlas (DB work) and React (frontend). With each member working on their respected sections.
The backend
We started by accumulating data for the precipitation and we went with the NOAA's data, the biggest challenge to do with this was the way the data was formatted, you can find the data files we used here
file1
and
file2
, we needed them in the format of:
station average zip_code city
however not all the stations were in the files, so i had to make sure i got the ones that were common, so i hacked together some code and came out with this:
with open('data_without_zipcodes.txt') as infile:
no_zips = infile.read().split('\n')
with open('data_with_zipcodes.txt') as infile:
with_zips = infile.read().split('\n')
result = []
tmp_str = ''
tmp_cnt = 0
for i in with_zips:
for j in no_zips:
try:
if i.split()[0] == j.split()[0]:
result.append(f'{j} {i.split()[1]} {" ".join(i.split()[2:])}')
elif tmp_cnt == len(no_zips):
break
else:
pass
except:
pass
with open('final_data','w') as f:
f.write('\n'.join(result))
So this gave us ~9200 results and we pushed this into our Mongo Atlas DB, only to realise one imposing issue, cities had duplicated entries, so it was time to get back to hacking some solution for this, i am not familiar with NoSQL so i created an sqlite3 database to hold our data temporarily and i would use this to get the averages with this ugly (yet working) code:
import sqlite3
with open('final_data','r') as f:
data = f.read().split('\n')
def get_avg():
searched = []
result = []
total = 0
for i in data:
rainfall = i.split()[1]
name = ' '.join(i.split()[3:])
station_id = i.split()[0]
zip_code = i.split()[2]
if name not in searched:
conn = sqlite3.connect('main.db')
c = conn.cursor()
c.execute('select * from dat where city_name = ?',(name,))
resp = c.fetchall()
conn.commit()
conn.close()
searched.append(name)
for i in resp:
total += int(i[2][:len(i[2])-1])
avg = total//len(i)
result.append(f'{station_id} {avg} {zip_code} {name}')
else:
print('already done this one')
total = 0
with open('average_out','w') as f:
f.write('\n'.join(result))
This finally gave us the dataset we needed, we then sent this into our MongoAtlas DB to use in our project. The next was collecting plants that prospered in differing environments, we went with
trefel api
now, our original idea was allow the user to search if there plant was good for conditions, however we soon realised the api has a shortage of complete data and therefore a lack of info on whether the plant is good for said conditions. So instead we generated a thousand plants in a variety of conditions, that we could suggest to the user based on there location. This ultimately worked and is what we incorporated. We put these 1k+ plants in our Mongo Atlas DB. This just about concludes the back-end development of the site.
The frontend
We decided to completely split off the frontend development from the backend and just use the backend to query our data in MongoDB so we could do more concurrently. We used Next.js and the Tailwind CSS library. Since the frontend was decoupled from the backend, we mocked up the data we would eventually get from the backend and built the simple and visually appealing layout. It worked out well, and we were able to finish around the same time and link the back and front ends up with too much of a hassle. Since we still had a lot of time left, we added more features to the user interface such as a search.
What we learned
MongoDB
Building a REST api in python using flask
Using external apis in our project
Working on the code collaboratively using Github
Connecting the frontend with the REST api
What's next for green space
Extend our dataset to support more countries around the globe
Add more plants of different types to our database
You can find our code at this repo:
https://github.com/cswil/not-university-public
(all secrets redacted :p)
Built With
flask
mongodb
nextjs
noaa
react
tailwind
trefle.io
Try it out
mygreen.space
github.com | Green Space | Grow Responsibly | ['cswil Wilson', 'Kai Chang', 'Clinton Graham', 'Chris c3a'] | ['Best Domain Name from Domain.com'] | ['flask', 'mongodb', 'nextjs', 'noaa', 'react', 'tailwind', 'trefle.io'] | 8 |
10,056 | https://devpost.com/software/calenducktivity-qruvh5 | Inspiration
As senior-level highschool students, our workloads can often become overwhelming and difficult to manage. At times, it may be difficult to prioritize and schedule important assignments and work periods, let alone abide by a given frame of time. We wanted to create a project that not only manages our assignments, but also keeps us on track, and encourages us to stay productive!
What it Does
Ducktivity
provides users with a simple and efficient way to manage projects. It assigns an appropriate amount of time to work on a given project, using an integrated timer feature. Users can create
QuackTasks
, which inform the user of how much time they have left to achieve a goal. Users simply input the nature of their task and determine the due date, and
Ductivity
organizes their tasks and begins a countdown. If the timer runs out, an image of a red duck appears, signifying a failure. If the user completes their task, a green duck appears, representing success.
How We Built it
We divvied up different tasks throughout all four group members, and we each began to learn (for the first time!) our individual languages. Our final goal was to be able to import tasks onto a Google Keep list using UI Path, before being transferred onto an Excel Spreadsheet. Afterwards, Flask and Python is used to interpret and organize the information. Finally, all the information gets sent to the front-end, and the website is formed.
BEFORE
the hackathon, we generated a list of ideas, no matter how ambitious or silly—just brainstorming and getting our creativity flowing!
DURING
the hackathon, we began to truly discuss the ideas, considering their potential, attainability, and creativity. Once we decided on our current project, we then spent some time assigning tasks to each member. Then, we split up to research and work on our individual jobs, keeping in frequent touch with each other via texting and voice calls for updates and inquiries.
Challenges We Ran Into
Before we began, none of us were familiar with UiPath or Flask, so learning how to use each was definitely an interesting obstacle! Over on the front end, we didn't have any HTML experience, either, so actually building the website along with debugging was definitely one of the bigger tasks. Another obstacle we faced was connecting each of the separate components that group members were responsible for.
Accomplishments That We're Proud of
We're proud of ourselves for working together to create a project that can help others in their everyday lives, especially considering our minimal previous experience in coding. Looking back, it's amazing that the four of us managed to pull together something like this, and it's definitely one of our best and most memorable accomplishments :)
What We Learned
We've learned that there is much, much more to coding a simple program than we initially thought. Behind every element actually shown in the final project is hours and hours of debugging and troubleshooting.
Additionally, it's so incredibly crucial to plan everything out before we all split up and begin doing our own thing. Ideally, everyone should already know how all the elements connect before we even start coding. Specifically, as a group, we found that each member dove into a different program, and began working away at what
they
wanted the project to look like, rather than planning out how each program would cooperate. This was primarily due to a lack of communication and coherency among group members, though with this being our first Hackathon, we know that we can only go up from here, and apply this to other projects!
Finally, we've all learned so much about the foundations of coding a program, especially considering this was the first time trying anything of this size.
What's Next for Ducktivity?
We will be continuing to work on functionality and ease of use in the upcoming days as a personal project. Following its initial launch, we hope to incorporate a feature that allows users to access their past QuackTasks, so they know how to better motivate themselves to complete their work in the future! In addition, we would also like to introduce a "Prioritize" feature, that allows users to specify which projects take top priority.
All in all, we hope to "get quacking", and look forward to what lies in-store for Ducktivity!
Built With
flask
html5
python
uipath
Try it out
github.com | Ducktivity | Stay on-task with a helpful countdown system to maximize productivity ... As well as a great quantity of ducks. | ['Yina Gao', 'Lauren Brown', 'Michelle Ma', 'Khaled Yaakoub Agha'] | ['Best UiPath Automation Hack'] | ['flask', 'html5', 'python', 'uipath'] | 9 |
10,056 | https://devpost.com/software/devcrowd-tech | Login
Sign Up
Upload projects
Custom URL for projects
Homepage
Inspiration
For mobile apps, there's the play store, for games there's steam and for web games - there's itch.io. But what about people who want to showcase their websites, and what about people who want to discover cool web technologies. That's how devcrowd.tech was born, to be a platform for developers to discover web technologies.
What it does
Devcrowd.tech provides a platform for developers to create and discover projects. It provides an online marketplace for the site and
How we built it
We built it using Python and the Flask framework, along with HTML, CSS and a little bit of Javascript.
Challenges we ran into
No hackathon project can be completed without a challenge and a massive
array
;) of problems. For us, one of the biggest challenges was the sheer scale of the project. How would we manage to make such a big project in a matter of hours? What we decided was to make it an MVP, or a minimum viable product, which we have succeeded in making
Accomplishments that we're proud of
We're really proud of what we were able to accomplish and create an MVP in such a short time
What we learned
We learnt a lot from this hackathon, learning how we could work in a team and collaborate creating this project.
What's next for devcrowd.tech
Devcrowd.tech aims to become
THE
online platform for developers to showcase and discover web technologies, and we'll try our best to make this come true as we will continue to work on the project even after the hackathon ends.
Built With
css
flask
html5
javascript
python | devcrowd.tech | A place for developers to share and discover cool websites and web technologies. | ['raghav nautiyal', 'Siddhant Bhargava'] | [] | ['css', 'flask', 'html5', 'javascript', 'python'] | 10 |
10,056 | https://devpost.com/software/watera | Inspiration
A lack of clean and available water threatens one of our most basic human rights, and we hoped to address both the issue of not knowing if your water is clean and effectively communicating the water quality of a community to water suppliers.
What it does
Watera combines current water quality information from hardware devices in a community with historical data to help households and communities plan for extreme weather events, provides resources relevant to your current water conditions to help with education and proactive water management efforts. Thanks to our hardware solution, even when severe weather events have made a connection to the internet overly difficult, community members still have the information they need about their water quality.
How I built it
The app was built with Flutter, the data is stored with MongoDB Atlas, an Arduino collects water quality data and sends it to the database via python.
Challenges I ran into
Connecting the hardware to MongoDB, collaborating on the Flutter app remotely.
Determining accurate measurements for the resistivity of water (had to make assumptions to make calculating the integral easier)
Accomplishments that I'm proud of
Getting the hardware to collect water quality data, we didn't have water quality sensors, so we designed and built a cheaper alternative to test water contamination.
What I learned
First time using MongoDB, learned how to connect to and retrieve data from the database.
Designing sensors to give
accurate
measurements is hard.
What's next for Watera
Building a web application to make it easier to access the data from anywhere.
Creating a network of these devices in a community that can communicate with each other in real-time to produce insights for both water suppliers and consumers.
Built With
arduino
c
flutter
mongodb
python
Try it out
github.com | Watera | An app and hardware solution that helps households and communities prepare and cope with severe drought or storm events. | ['Alex Yu', 'Dhrumil Patel'] | [] | ['arduino', 'c', 'flutter', 'mongodb', 'python'] | 11 |
10,056 | https://devpost.com/software/covid-19-bahrain-tracker-and-discussion-g7fdi0 | The webpage on small-screen devices
Inspiration
Along with the obvious health implications of the COVID-19 pandemic, the virus brought with it other issues such as job loss, financial instability, loneliness in isolation, and lessened interaction with people.
Noticing the adverse effects of the COVID-19 pandemic, I thought it was essential that there exists a community-centric platform where people can start an open discussion, post uplifting content, seek help with regards to COVID-19 and most importantly stay updated with latest developments, guidelines, and instructions.
What it does
My main intention to create this website was to develop an interconnected community for the people of my country to communicate on, stay updated with reliable information, and create a well-informed community in order to battle COVID-19. I designed the website such that it serves as a model for other localized communities to use.
The website is broadly divided into two tabs- "Dashboard" and "Discussion", using a user-friendly UI design.
In the Dashboard tab, users have easy access to live data (updated every hour automatically) presenting the current case summary, historic case summary, charts, and reliable information from the Ministry of Health in order to address the issue of misinformation. In the Discussion tab, people can voice out their doubts, questions, or concerns regarding COVID-19 and the more important part is that they should be heard by people belonging to the same community.
Let's say someone wants to know about the testing procedure and how the process works, they can just ask in the discussion page and someone who has gone through the process can brief them on it. Perhaps, a local organization is looking for volunteers or donations, they can post it on this platform for visibility. There could be a scenario where an elderly couple is in need of medicines but can't leave their home due to a high risk of infection, they can just post it on the discussion page and a good Samaritan could help them out!
Overall, using such a community-based website:
Citizens can stay informed about COVID-19 developments at a community level and reliable information that matter to them the most since the website only includes information about their community.
People can ask for help, advice, suggestions, volunteers, donations from a community that is more likely to offer help.
How I built it
I used the create-react-app and Javascript to build the entire interface along with Bootstrap-react for the front end. The data is pulled from reliable APIs such as the disease.sh, which gets it information from the JHU dataset and WHO dataset. I also used the React Router to route between the two tabs on the webpage.
Challenges I ran into
The major task for me was to find a reliable dataset that I can use to display the live stats on my website.
Another trivial but important challenge I faced was that the numeric data isn't formatted with a comma (,) between the thousands. For example, the data had a value 109272 but I wanted it to be displayed as 109,272 for easy reading. I used the count-up library to solve this issue.
Another challenge was to design my code such that the page rendered only after I got a response from the API call.
Accomplishments that I'm proud of
I'm proud that I was able to make my website super user-friendly using a UI that can be easily navigated and used. I'm also super proud that the website is responsive to all screen sizes and adjusts automatically.
What I learned
All of my coding experience before this project was solely python and C++, but for this project, I pushed myself and learned the process of web development and how to use the React framework to easily create functional web apps that are fast and effective. I also learned how to make a website responsive to screen sizes and include accessibility features.
What's next for COVID-19 Bahrain Tracker and Discussion
Perhaps in the future, the website can collaborate with local community relief organizations and provide a direct messaging feature so that they contacted directly in case of emergency help.
One of the important things I have kept in mind while developing this web application is that it serves as a model for other local communities to start their own localized COVID-19 tracker and discussion web pages.
Built With
axios
bootstrap
css
disease.sh
google-analytics
javascript
react
reactrouter
Try it out
www.covid19bahrain.co | COVID-19 Bahrain Tracker and Discussion | A COVID-19 tracker that goes beyond just numbers and charts | ['Shahnawaz Mogal'] | [] | ['axios', 'bootstrap', 'css', 'disease.sh', 'google-analytics', 'javascript', 'react', 'reactrouter'] | 12 |
10,056 | https://devpost.com/software/covid-19-website | I really like coding so spent a while looking for something to do this weekend. I didn't even know about about hackathons up until a week ago. My website just gives the basic run down of what the Coronavirus is, and how we can do our part to slow it down. The main challenge was I didn't even know how to code in HTML, so I had to learn it on the spot while creating the website. I am so proud of the work I put into this project, and I can't wait to make more in the future. Throughout this journey, I learned that I if I keep my head held high and don't give up, I can accomplish a lot. When this is over, I will most likely edit it so that it looks better, and has more information.
Built With
css
html
javascript
Try it out
hackathon-website--bricepatchou.repl.co | Covid-19 Website | A website that informs others about the Coronavirus | ['Brice LE RENARD'] | [] | ['css', 'html', 'javascript'] | 13 |
10,056 | https://devpost.com/software/fate-of-hel | Fate of Hell is a short top-down shooter game where natural flow of Hell and the whole damnation has spun out of control you, the reaper of Damn souls has been charged with a task of damage control and closing the rift to make things right.
This hack was made by Mridul Arora And Nyah Rose.
Built With
c#
photoshop
unity
Try it out
drive.google.com | Fate of Hell | Fate of Hell is a short top-down shooter game made for NotUniHacks | ['Mridul Arora', 'N S'] | [] | ['c#', 'photoshop', 'unity'] | 14 |
10,056 | https://devpost.com/software/waterblot | our logo
The Story of
WaterBlot
Inspiration
We were inspired by Xylem to use software to solve a consumer-facing water-related problem.
What it does
This app allows users to take a short quiz to estimate how much water their household consumes in a week. This data, as well as location data, is then used to send emails to users to warn them about potential droughts/sanitary issues that could affect their water supply. The app will send an email to a user if they're in an area affected by drought and they use more water than average.
How I built it
This app was built using HTML and Bootstrap for the front end. I used Flask and Python for the back end. I also used MongoDB Atlas to store user data and I used Sendgrid to send emails.
Challenges I ran into
This is my first hackathon, so my main problem was a lack of experience. I'm pretty familiar with programming but managing time was somewhat of a problem.
Accomplishments that I'm proud of
I'm proud that I got so much work done in under 24 hours. Usually, I'm not this productive.
What I learned
I learned a completely new web stack (MongoDB, Flask, Bootstrap) in under 24 hours. I had no prior experience with any of these techs and I really enjoyed them. I'm looking forward to learning more about them in the future!
What's next for WaterBlot
I would like to add some more information on what this data means for the user. Also more meaningful email updates. Also, like I'm assuming every hackathon contestant,
more polish
.
Malcolm
Built With
bootstrap
flask
html5
mongodb-atlas
python
sendgrid
Try it out
github.com | WaterBlot | find your water consumption and plan for droughts and storms | ['Malcolm Boyes'] | [] | ['bootstrap', 'flask', 'html5', 'mongodb-atlas', 'python', 'sendgrid'] | 15 |
10,056 | https://devpost.com/software/rapid-rebutt | Inspiration
With so much happening right now such as the pandemic and protests and riots, there is a lot of information going around, not all of which can be said to be accurate. There are still misconceptions going around for things that were previously proven false by credible sources, and our job is to make it as easy and quick as possible to know what being said is true or false. Going to Twitter, the YouTube comments section, or any other platform that involves user opinion creates a lot of misinformation. For example, I was reading through a YouTube comment thread involving a debate, and people were constantly making new claims. Right when a new claim was made, however, people were quickly corrected on their misinformation. With Rapid Rebut, never again will anyone have to check if an argument is false. Our Chrome extension will mark up a page with any rumors, misconceptions, and false information so that you know that you are getting the most reliable information.
What it does
Rapid Rebut is a Chrome extension that will mark up a page, highlighting in red any rumors, false information, and misconceptions. By hovering over this false information, you can see the reason for why the information is wrong, and by clicking on the highlighted portion, you will be brought to a credible article disproving the false claim.
How we built it
The chrome extension itself is created in JavaScript and JSON. It separates the text of the body into an array of sentences, sends a request to a Flask app on the hosted machine. We created a MongoDB database that stores rumors, corrections, sources that disprove the rumor, and the InferSent sentence embedding of the rumor. The embeddings of the rumors are stored in a K-Dimensional Tree for quick access. When the Flask API gets sentences to fact-check, it gets it corresponding embedding and uses the K-Dimensional Tree to get the rumors closest to that embedding. If the distance between the sentence and the closest rumor is below a certain threshold, the API sends back a JSON containing the rumor, correction, and link to correction. The non-rumor entries are just sent back as false booleans. The JavaScript program must then backtrack, using a given sentence to first find an element, and then surrounding the specific sentence with new tags to not include the entire element.
Challenges we ran into
One challenge that we ran into was connecting the extension and the Python. We wanted to integrate different parts, but we were unfamiliar with how the connection would be, so that too a while. Although we never used it, we also wanted to integrate MongoDB Atlas in some way, so we used that as our database. Setting up this database was challenging at first, but after figuring out how to use it, we feel that it will serve as a great tool for the future and we are glad that this hackathon informed us of such a good database service. Another challenge was accurately giving a similarity score and finding a good threshold which took a lot of experimentation with different types of sentences. Also, with the extension itself, it took a while to figure out a good way to backtrack and find an element based on a sentence, and then to use that given element to put mark and link tags around the given sentence. In the end, despite these challenges, we figured it all out and finished the project.
Accomplishments that we're proud of
We are proud of completing a Chrome extension and being able to connect that with Python when we had never created a Chrome extension before. On top of that, in the back-end, there were also new things. We needed to use new libraries and techniques to create a similarity score, and we also needed to figure out how to use MongoDB Atlas for the first time. In general, we are proud that the components connected this well and that this tool makes it easy to find false information. We learned a lot of new concepts about extensions and document-based databases that we will use in future hackathons!
What we learned
Through this project, we learned a lot. We created a Chrome extension for the first time, learned more JavaScript when we were not super comfortable with it, were able to connect the Chrome extension with Python when we lacked knowledge on doing this beforehand, were able to create similarity scores based on different sentences, and were able to learn and use MongoDB Atlas. Overall, I feel that this hackathon was a great learning experience and allowed us to improve upon old skills and gain new ones.
What's next for Rapid Rebut
We can see a lot for the future of Rapid Rebut. For one, we would like to officially publish this extension to the Chrome store so that it is quick and easy for anyone to access. This is especially important during these current events with misinformation spreading rapidly. We would also fix it so that it wouldn't impact a website's JavaScript. This would make it more user-friendly and compatible with social media sites. We would also like to keep growing our database and even automate it in the future using what we term to be credible sources.
Built With
flask
infersend
javascript
json
mongodb
python
tkinter
Try it out
github.com | Rapid Rebut | Rapid Rebut refutes conspiratorial nonsense | ['Abhay Sheshadri', 'Dan Allex', 'Kevin Liu'] | [] | ['flask', 'infersend', 'javascript', 'json', 'mongodb', 'python', 'tkinter'] | 16 |
10,056 | https://devpost.com/software/wttr-moe | wttr.moe is a weather notification service unlike any other.
What is it?
Users can signup to receive weather forecasts on the website.
At 8:30 AM CST every day, users receive a text containing a weather forecast for their location.
There's one big twist though: in addition to the weather forecast, users will also receive an image of an anime girl in the weather conditions described.
For example, if it's raining, you'll get a picture of an anime girl in the rain along with your forecast.
How it works
wttr.moe uses Twilio, the Danbooru API, and ClimaCell to send texts, source images, and source weather data, respectively.
The entire application is hosted on a MongoDB Atlas instance, including the database, functions, and even the website!
The functions work via MongoDB Stitch, which run Javascript on certain triggers.
Such triggers include the registration webhook, which adds new users to the database, and the scheduled trigger, which grabs weather data from ClimaCell and sends texts at a certain time every day.
This serverless approach allowed us to develop quickly and fully utilize our MongoDB instance without worrying about backend servers.
In addition, the tight integration between MongoDB Stitch and the actual MongoDB cluster reduced the amount of boilerplate database connection code we had to write.
Challenges
No one on our team had any significant Javascript experience, but MongoDB functions are programmed in NodeJS.
Much debugging and log scouring was necessary to get things working!
This was also the first project using MongoDB, Twilio, ClimaCell, or Danbooru that any of our team members had ever worked on.
Every single API and service we used required cram learning combined with trial and error.
What's next
Although we had to specify one hard time (8:30 AM CST) for our current prototype, we have plans (and database schema already in place) to let users specify custom notification times, perhaps even different times on different days.
If there's one outstanding question you've had since reading where we source our images from, the answer is no, but there will be an option soon™.
Built With
climacell
danbooru
javascript
mongodb
twilio
Try it out
wttr.moe | Weather Waifu | Weather Waifus over SMS | ['Hunter Han', 'Albert Sun'] | [] | ['climacell', 'danbooru', 'javascript', 'mongodb', 'twilio'] | 17 |
10,056 | https://devpost.com/software/safe-shopping | mid-day Sydney
some code
some more code
Inspiration
We drew inspiration from S. Korea's amazing Covid19 response, where they notified the population of high-risk areas to limit the spread of the virus. We wanted to produce a web-app that was both easily accessible and usable to do something similar.
What It Does
It uses the popular times data on Google Maps to access data on how crowded nearby stores are and decide which ones would be safer to go to. This is then organized and displayed on a map with intuitive markers and a data display to communicate that to the user. The web-app automatically takes your location so you only need to use the search bar if you want to check for another location (or in our case debug when there are no stores open around us).
How We Built It
Django, Python, Javascript, CSS, and HTML were all used in the creation of SafeShopping. Our team has successfully completed a working prototype. We also used the free trial of the Google Maps API.
Challenges We Ran Into
We had a few limits with the data, many frustrating bugs, and the app could still use more refinement, however, we are very proud of what we have accomplished. We feel that it's an amazing framework that we can build on in later hackathons to create something awesome.
Accomplishments That We're Proud Of
We were able to get an actual interactive website working while learning all these new technologies on our own. Conquering Django was a massive accomplishment, considering that none of us had any real experience with Django before.
What We Learned
We learned so much about both frontend and backend web development, especially working with APIs. We had to learn a lot on the spot, including, how to use JavaScript to create dynamic HTML, how to connect the front and back end, and how to use various mapping APIs.
What's Next for SafeShopping
We want to refine our website and add more features. One of the main features we want to add is a navigation bar that will allow you to choose specific kinds of places around you and to refine our CSS.
Built With
css
django
html
javascript
python
Try it out
github.com | SafeShopping | A map-based webapp that assigns a safety score to nearby stores during the present Covid 19 pandemic. Stores that are farther away and higher populated get a lower safety score. | ['David Tang', 'Evan S', 'Jerry Wang'] | [] | ['css', 'django', 'html', 'javascript', 'python'] | 18 |
10,056 | https://devpost.com/software/dropredictor | NotUniversityHacks-CSSI2020
Project for NotUniversityHacks by the CSSI 2020 Team! :)
Inspiration
Droughts are a huge problem around the world, and a big issue with combating droughts is that many people are unaware of when they will strike next and what they can do to help. We wanted to make a simple and convenient app that tells people when the next drought will occur in their region and what they can do to help. This way, we can have a nationwide effect on droughts by inspiring people to take action in their communities.
What it does
Dropredictor uses artificial intelligence to predict when the next drought will occur in the 50 states, plus Washington D.C and Puerto Rico, to motivate people to take action in their communities to conserve water and prevent droughts.
How I built it
We wanted to use artificial intelligence to analyze data of past droughts in the 50 states, plus Washington D.C. and Puerto Rico, by specifically using machine learning to perform time series regression. We decomposed the time series into trends and seasonal patterns, then fit a sine function to the seasonal pattern in order to determine the periodicity of the seasonal droughts. Based on the period, which is how much time there is between consecutive droughts, we are able to find the number of years until the next drought occurs.
Using this information, we present the amount of time until the next drought in a region in the style of a countdown in order to encourage people to pay more attention to water sustainability to help combat the drought.
Challenges I ran into
One of the biggest challenges we ran into was aggregating the data since droughts are classified by 5 levels of severity, and the data we used had percentages of land experiencing the minimum level of droughts. We were able to overcome this challenge by having our machine learning focus on predicting when there would be a significant spike in the level of percentages of land covered by droughts because that is the best indicator for the start of a serious drought occurring. For example, the severe drought in California from 2011 to 2017 was represented by a large increase in the percentage of land experiencing drought in California in the data we had, so by looking for patterns in these spikes we can better predict when droughts would begin in the future.
A challenge we had in using time series regression to model the drought data was that the drought data varied significantly from state to state, and even the seasonal patterns were different, so the strategy we used to analyze the data had to be generalizable. We accomplished this by using our machine learning to curve fit a sine function, because sine functions can be used to represent any periodic functions. Thus, we were able to model the periodicity of the many different data sets we had pretty well using the same curve fit.
Working together remotely was another challenge we faced, but we were able to overcome this by video calling and having strong communication. Our teamwork helped us persevere despite us being unable to meet in person. :)
Accomplishments that I'm proud of
We’re really proud of creating an app that’s beneficial to society and helps people with the serious issue of droughts. We feel like we managed to create a simple yet pretty design for our web app, while also providing all the functionality to help people deal with droughts and learn more about sustainability. Additionally, we’re proud of being able to use AI and machine learning to model something like this, especially under such a short time frame. It was a challenging experience, but we learned a lot from it. We think the name Dropredictor is pretty cool too, and we set up a domain for it at
http://dropredictor.tech/
using Domain.com.
What I learned
We learned a lot about modeling data, and how to best visualize data to effectively communicate our ideas to a larger audience. We also learned a lot about plotting and decomposing data, as well as time series regression. It was also a lot of fun learning more about how to conserve water usage and contribute to sustainability and help the environment. Beyond learning these concepts, we also feel like we improved our remote work and communication skills through hacking together remotely.
What's next for Dropredictor
In addition to being able to predict when the next drought would happen, we want Dropredictor to show how individuals affect water sources and the environment around them. Our next steps for Dropredictor would be to ask users to input their water habits and illustrate how their water footprint affects the availability of water. Our web app would advise users on how they can reduce their water usage and lower their water footprint. We could also create native mobile apps to enhance the user experience on mobile devices, though our current web app also already works on mobile. :)
Built With
ai
css
html
javascript
machine-learning
numpy
pandas
python
scipy
time-series-regression
Try it out
github.com
dropredictor.tech | Dropredictor | A web app that uses AI and machine learning to predict future droughts and teaches people how to contribute to water sustainability to combat droughts. | ['Devonne Busoy', 'Tiffany Wang', 'Albert Zhang', 'Vicky Zheng', 'Semantika Pandey', 'Siri Tanguturi', 'Hannah Kim'] | [] | ['ai', 'css', 'html', 'javascript', 'machine-learning', 'numpy', 'pandas', 'python', 'scipy', 'time-series-regression'] | 19 |
10,056 | https://devpost.com/software/watersolved | Our story
WaterHacked is a web-based application designed to act as a liaison between real-time weather data & statistics and today’s generation. Our goal is to advocate for water conservation and against water pollution. We achieve this by taking the form of an RPG while providing two personalized modules, one being a home feed for relevant news and research, and the second being a local weather forecast for regions in America
what inspired you
XYLEM’s mission of developing solutions to address the global water and energy crises was largely the motivating factor for our team to pursue a “Water Hack” challenge.
what you learned
We learned to use various elements of HTML and CSS . We learnt using different elements of CSS to make our web page look awesome. We also connected our web page with the Mongo DB which helped us to get various info collected through Xylem's meters.
how you built
We built it with React , java script,, HTML and CSS.
challenges you faced.
The main challenge was with the back-end team . As neither of us was experienced with back-end it was tough facing it . But we learnt and implemented it .
Built With
css
html
javascript
mongodb
react
Try it out
github.com | waterHacked | WaterHacked is a web-based application designed to act as a liaison between real-time weather data & statistics and today’s generation. | ['Dhruv garg', 'Delila Gama'] | [] | ['css', 'html', 'javascript', 'mongodb', 'react'] | 20 |
10,056 | https://devpost.com/software/connexted | We're a group of busy high schoolers, and we're no stranger to wanting a more productive and collaborative work station. Online courses such as those provided by Udemy or Coursera are ultimately rewarding, but it is undeniably difficult to sit through hours of video lectures with no form of personalized assistance.
Connexted is built to combat this issue, randomly matching each user up with other users taking the same online courses. Study groups consist of 2-5 people, ensuring the development of close personal relationships and mentorships. The group dashboard contains a chatroom and call option, promoting collaboration and assistance between users. Also visible on the dashboard are weekly goals, status trackers, and a joint timer – features intended to hold each user accountable for the amount of work they've had done.
We built the front-end using HTML/CSS/JS, UI design with Adobe XD, fireChat API for chats, and user login/authentication with Firebase. As we're all relatively new to front-end coding and UI design, the project was definitely challenging on many fronts.
Throughout the hackathon, we've managed to learn and utilize most tools provided in Adobe XD, as well as navigate between the front and back ends of web development.
Currently, our web-app is accessed through local servers. We'll soon connect our site with a domain name (connexted.tech), and in the future utilize Udemy / Coursera affiliate APIs to search up specific courses and track real time course progress. Hopefully, we will develop Connexted into a full-fledged site that is usable and accessible.
Built With
adobe
adobe-xd
css3
firebase
firechat
html5
javascript
Try it out
xd.adobe.com
github.com | Connexted | Connexted is a form of social productivity intended to match people taking mutual online courses. The joint work station holds every user accountable and allows for straightforward collaboration. | ['Jocelyn Li', 'Deya Liao', 'Maggie Guan'] | [] | ['adobe', 'adobe-xd', 'css3', 'firebase', 'firechat', 'html5', 'javascript'] | 21 |
10,056 | https://devpost.com/software/music-player-fjo4z3 | Blynk
Arduino
Inspiration
When I learned about the arduino piezo alarm, I recognized the wide applications it could have. I could play
my own songs
! So, I started looking at current arduino programs that play songs based on frequency, but I saw that the notes and frequencies for the songs done manually for a specific song. So I decided to make a way to play any song you want rather than converting all the notes in a song to fundamental frequencies manually.
What it does
I built a javascript program to convert any musicxml file that plays one note at a time to the exact arduino code needed to play the song. In converts the notes in the songs (A, B, C, ..) into the exact fundamental frequencies needed to play the song on the piezo alarm (basically an arduino speaker). So all you need to do is copy-paste the arduino code into the arduino application and run the code, and hear your song on the piezo alarm. I also enabled blync (an iot app) for this program, so you can stop or play the song remotely with your blynk app. So, essentially, I created a bluetooth speaker using just a piezo alarm and an arduino.
How I built it
I used an ArduinoMKR1010 (a wifi-enabled arduino), a battery, and a piezo alarm for the hardware. I used javascript for the software, and the javascript outputs the exact arduino code you need to play any song you want in the terminal.
Challenges I ran into
Figuring out how to parse MusicXML files was very difficult since there is just so much text, so I converted it to JSON and used a JSON editor to find how to get the durations, octets, and letter for every note in the song. Then, I used that information to produce an array of the durations of every note and an array of the fundamental frequencies of every note.
Accomplishments that I'm proud of
I made my own bluetooth speaker, and at a much cheaper cost because of the cheap components!
What I learned
I learned how to use blynk to control Arduinos remotely more easily, and it was fun sliding the slider in the blync app up and down to play and stop the song!
What's next for Music Player
I'm thinking of making the front end of the program using react so the user can just copy paste music xml into a webpage to get their arduino code instead of doing it in the code itself. I could also have a store of previous songs
Built With
arduino
blynk
c++
javascript
Try it out
github.com | Music Player | Use an arduino to play any song you want! | ['ram potham'] | [] | ['arduino', 'blynk', 'c++', 'javascript'] | 22 |
10,056 | https://devpost.com/software/crowdlytics | Inspiration
Due to the COVID-19 Pandemic, gatherings are no longer the same and people have to maintain distances in public areas. Government SOPs have been enforced so that only a certain number of people can be allowed inside a store. Some stores have different cap spaces, numbers that are not presently available to the public. This leads us to develop our idea of Crowdlytics, which tracks the ratio of the current number of people in public spaces and the max number, and makes it available for the world to see.
What it does
Crowdlytics is split into a mobile app and a web app. The mobile app is used by people who operate public businesses or gatherings. Wherein they can manually track the number of people coming in and out of their gathering. The second part (web app), is a map with all the different tracked spaces which gives info to visitors about the current population in those public spaces. This allows visitors to make an educated decision on whether they should visit.
How we built it
The mobile app is built with Flutter. The Web App is built with Vue.js. Our Backend uses Spark Java and a MongoDB Cluster hosted on MongoDB Atlas.
Challenges we ran into
Supporting Google Sign-in both IOS and Android, as both required diverse setup.
Deciding between which features had a higher priority with time constraints.
Using the less popular Spark Java for backend as opposed to Node.js
Accomplishments that we are proud of
Building our first end to end application, which touches upon all different parts of a tech stack.
Being able to communicate with multiple front-ends and a REST API
Being able to properly collaborate using an adequate workflow
Being able to manage our time well and planning our goals
What we learned
How to build a full-stack application.
Using Google OAuth
Using well defined debugging practices
Interfacing with the MongoDB Database i.e. counting the size of our Sessions collection to see number of online users
Optimizing the Vue js frontend web with a Vue plugin for MapBox
What's next for Crowdlytics
A native app for clients instead of a web app.
Native Notifications instead of Email notifications
Built With
flutter
java
mapbox
mongodb
vue
Try it out
github.com
github.com
github.com | Crowdlytics | Crowdlytics is a platform which enables people who operate public places to ensure social distancing standards are met | ['Mohammad Nayalash', 'Omar Elnajmi', 'Mustafa Abdulrahman'] | [] | ['flutter', 'java', 'mapbox', 'mongodb', 'vue'] | 23 |
10,056 | https://devpost.com/software/viralcheck-social-media-app | Web app
Built With
python | ViralCheck | Web app | ['Jeremy Nguyen', 'Gideon Grinberg', 'Ritvik Irigireddy', 'Nand Vinchhi'] | [] | ['python'] | 24 |
10,056 | https://devpost.com/software/xylem-hackathon | ## Inspiration:
Our inspiration in creating this website was learning about the lack of clean water in many parts of the world and the millions of health and sanitation issues caused by the lack of this basic necessity. We wanted to educate people and spread awareness regarding the actions people can take everyday to lead sustainable lifestyles, better the community, and help those in need.
## Our Website's Goal:
Our website contains facts, statistics, and tips on various water crises and oil spills around the world to inform people of the necessity for more efficient and more sustainable methods of obtaining clean water in developing or neglected communities. Additionally, there is a section of analyzed data and graphs based on water consumption and pH levels.
The most important goal of our website is to educate individuals on what actions they can take to help the cause, whether it be through private organizations or companies such as Xylem.
## How We Built It:
This project began on a clean state and no prior work was done before this hackathon. The website and research was all done during this NotUniversity Hacks Hackathon We first discussed the topics on water quality that we wanted to research and proceed to make a plan and split up the tasks. Throughout this hackathon, we researched and compiled reputable organizations and petitions. A member used the data provided by Xylem using Python to average the statistics and created a model on Water Usage and Precipitation. We used Wix to create a website for individuals to educate themselves about the current situations regarding water quality and sanitation issues.
## Challenges We Faced:
While working with Wix, we wanted to have multiple team members on the website at once to edit, but this made it more difficult. There were different versions of the website when the page was reloaded, so work was constantly being lost. We resolved this issue by choosing one person to work on the website while the rest gathered and analyzed the data and information. Additionally, the Xylem data provided contained many errors, such as random measurements scattered throughout the data provided and confusing data file formatting which made it difficult to interpret.
## Accomplishments That We're Proud Of:
We're extremely proud of how efficient all our group members completed each of their tasks and the abundance of information gathered from different topics. The website is also very aesthetically-pleasing and user friendly for all ages. It conveys facts, statistics, and tips regarding the ongoing water crisis in an organized fashion and is pleasing to the eye.
## What We Learned:
The crisis regarding water sanitation is much more prevalent than most people think. There is not enough awareness of these issues and unfortunately, this information is not stressed enough in school. Individuals must take action to better their community and help those in need. Water conservation and aid can be advocated for in our very own communities, even beginning in our own homes.
## What's Next for Water Awareness:
Collaborate with other organizations and individuals to create new ideas to help improve water quality and provide safe, drinking water for all.
Continue to raise money and spread awareness through donations, petitions, and rallies.
Expand our website, adding more information on water-related problems such as faulty infrastructure, water-related diseases, effects of natural disasters, and treatment of wastewater. There is still so much we can explore!
Spread our message through various media source and make an impact on the world.
Built With
python
wix
Try it out
becomewaterware.wixsite.com | Water Awareness | Individuals need to be informed of the water crises in communities around the world. | ['Emily Ma', 'Eric Sung', 'Udaya Rattan', 'Liam Moren', 'Alex Z', 'Emily Cohen', 'Anikha Justin', 'Sam Kelson'] | [] | ['python', 'wix'] | 25 |
10,056 | https://devpost.com/software/pickupboo | Inspiration
The Covid-19 pandemic resulted in the closing of hundreds of millions of businesses around the globe. According to the current estimates, 61% of the small businesses in the GTA area will have already closed their doors to the public in 2 months from now, due to financial problems caused by the lack of customers.
What It Does
PickUpBoo can help all those small businesses by giving them the opportunity to create their own pick-up service, no matter what they are selling. If this wasn't enough, PickUpBoo has the potential of saving countless small businesses, tens of thousands of dollars that they would have had to pay for their own website.
Our platform allows customers to pick everything they need at the touch of a button. Our website is built to support all shopping categories, from house furniture to animal food. All that’s left after finding all your desired products is simply pick them up.
How We Built It
We begin by splitting up into two groups (back-end and front-end). The front-end team worked on creating a demo of our website using Adobe XD to generate all the CSS code that we will need. In the meantime, our back-end team began initializing the ASP.NET Core (Web API) project in Visual Studio and finalizing background-research. After about an hour, the front-end team began coding the website using react.
Challenges We Ran Into
Well… Saying that this project was hard to complete would be an understatement. Seeing as our team lives in the same house, communication was not an issue and so we decided to brainstorm a few ideas beforehand, to leave as much time as possible for coding our website. Sadly, we encountered our first challenge after only an hour. As it turned out, the software we were using to generate our CSS code did not output responsive code and so we decided to write it by hand (mostly), however, due to the time constraints we decided to only make one responsive page to showcase our knowledge. Then, a few hours later, we encountered another challenge as we tried to link the website front-end and back-end. Luckily, after about 2 hours of us all working on the problem, we managed to fix it.
Accomplishments That We Are Proud Of
All things considered, we still can’t believe that we have managed to achieve most of our goals for the day. This is the first hackathon that we participated in and we already can’t wait for the next one!
What We Learned
First of all, we learned that whenever we think something will take us x time, it will probably take twice that or more. We learned how to efficiently work as a team, by doing things such as setting our goals for the day and meetings every 2-3 hours. Most importantly, as this is our first hackathon, we learned how it all works and are now much more prepared for the next hackathons to come!
What’s Next For PickUpBoo
We are planning to implement Redis (a better cashing layer) after the hackathon is over. Additionally, we decided to keep working on our website to improve its overall design and performance.
Built With
For our project, we've used the following technologies:
i. Backend:
C# 8.0.
ASP.NET Core.
SQL (EntityFramework Core).
Argon2 (The strongest password encryption algorithm in the world! We combined it with a custom salt which is randomly generated for each and every record. Part of the salt is saved in the database and a part of it is saved on the client itself to keep all records secure in-case hackers break into the database).
Mapbox (Combined with a lat/long distance algorithm to minimize requests to Mapbox' API hence reduce costs).
Amazon SNS (which is used for SMS messaging).
ii. Frontend:
React
TypeScript (TS)
HTML
CSS
SVG's
Built With
amazon-sns
argon2
asp.net
c#
css
html
mapbox
react
sql
typescript
Try it out
github.com
github.com | PickUpBoo | A Pick-Up platform. Fast, cheap, convenient. The best way to sell & buy during the Covid-19 Pandemic. | ['Sean Berenshteyn', 'Roy Berenshteyn', 'Liel Berenshteyn [Student]'] | [] | ['amazon-sns', 'argon2', 'asp.net', 'c#', 'css', 'html', 'mapbox', 'react', 'sql', 'typescript'] | 26 |
10,056 | https://devpost.com/software/blacklivesmatter | Inspiration
Racism is really something that nobody should support and how a lot of people are supporting this Black Lives Matter movement is really touching and intriguing. Thus, as a way to do something to cause awareness, we've thought about this website.
What it does
It gives awareness to people. It does custom Google search about BLM, and searches specific tags on Instagram to pull up some image posts.
How I built it
We built it using HTML, Flask, Jquery, javascript, JSON, Bootstrap, and more. However, the main thing that we were able to progress is through teamwork.
Challenges I ran into
For most of us, this was our first time using JSON or javascript. Thus, we had a tough time learning and applying our just-learned things to our project.
Accomplishments that I'm proud of
We're proud that we were able to do finish this project using things we have never tried.
What I learned
Javascript, JSON, Flask, Bootstrap, Jquery.
What's next for #blacklivesmatter
Fix the Instagram posts.
Built With
bootstrap
css
flask
html5
javascript
jquery
python | #blacklivesmatter | Create a website to further inform people about this black lives matter movement. | ['ankush12357', 'Jay Vardhan', 'Daniel Ting', 'Hyeok Kwon'] | [] | ['bootstrap', 'css', 'flask', 'html5', 'javascript', 'jquery', 'python'] | 27 |
10,056 | https://devpost.com/software/ecosight | Reference github repo for further info. OpenCV adds these red bubbles. The heated areas were simply brighter spots used for testing.
Wildfires are arguably one of the toughest environmental disasters to combat. When they strike, their effects are disastrous for the economy, the environment, habitats, infrastructure, and most notably, water supplies.
Forests alone yield 40 percent of the water for the world's 100 largest cities. Not to mention, rivers, lakes, streams, and reservoirs are just as important to the plants and animals that inhabit forests. When wildfires occur, ash and other contaminants settle in these water sources making them very unsuitable for drinking water. They also destroy vegetation that retains water and stabilizes the water cycle. Additionally, heavy sediments can destroy millions of dollars worth of water filtering infrastructure (as it did in Australia, for example). These are among just the few ways they can wreak havoc on vital water supplies for people in both developing and developed countries.
What's even worse about wildfires is how spontaneous they can be. They can happen in any part of the globe and anytime--day or night. In order to curb their occurences, we worked on designing a software and hardware prototype (called EcoSight) that can be used to monitor forests 24/7 and alert fire fighters of any potential outbreaks, allowing them to take preemptive measures. Unlike traditional means of forest monitoring, this approach uses artificial intelligence and smart computer vision that allows for tremendous improvements in the efficiency and accuracy of detecting potential wildfire sources.
The functionality of EcoSight is fairly straightforward. It is designed to "scan" the environment for every specified interval of time--that could be every 2 hours, every 30 minutes, or perhaps even every 10 minutes. During the "scan", all of the thermal cameras snap an image of their environments. Each of the images are processed to locate regions of abnormal temperature. The geo-coordinates of these regions are also calculated using triangulation. Additional factors are determined including the number of blotches, the surface area of the blotches, their average temperature intensity, and their overall magnitude. Furthermore, temperature and humidity sensors as well as anemometers (which we designed using a hall effect sensor) are used to determine temperature, humidity, and wind conditions for that particular day. All of these factors are run through a mathematical algorithm that then computes a risk evaluation (see Github Repo for further details).
If any of the thermal cameras has a risk evaluation that is above a certain threshold, a radio frequency emitter sends the thermal image of the environment, the information on weather and the image, and finally the risk evaluation to the station housing a WiFi router. From there, the information is finally sent to local firefighters using a cloud communications API called PubNub. All of this information is displayed on the client's browser in an interactive way that allows them to zoom into and scroll through the landscape to get further details.
For the purpose of prototyping and testing, we designed the hardware using a Raspberry Pi 4B microcontroller. The thermal camera used was a FLIR Lepton 3.5 with a PureThermal 2 module. The Lepton was connected to the Pi through a USB 3.0 connection, and it's linux environment was also configured. Additionally, an Intel Movidius GPU stick was used for accelerated graphics computing. The RHT module was used for collecting the temperature and relative humidity and the hall effect sensor was used for an anemometer. The LED and speaker were only used for testing whether or not the risk evaluations were being properly calculated and were not part of the final hardware design.
Built With
flir
google-maps
imutils
node.js
opencv
pubnub
python
sql | EcoSight | EcoSight is a product that integerates novel hardware and software components to help prevent the outbreak of wildfires. It uses AI and smarter computer vision to detect potential wildfires sources. | ['Michael Youssef', 'Surfer Zoke'] | [] | ['flir', 'google-maps', 'imutils', 'node.js', 'opencv', 'pubnub', 'python', 'sql'] | 28 |
10,056 | https://devpost.com/software/articulate-i4nh62 | Inspiration
I got inspiration from my brother who write artilces but finds difficulties sharing with other.
What it does
The app allows you to create your own articles and read others too. All articles written by you and others are available on home screen
Features :-
1 Sign Up
2 Log In
3 Create Article
4 Read other Article
How I built it
Using react-native and nodejs and potgres as my database
Challenges I ran into
Well! Took very much time to debug
Accomplishments that I'm proud of
Atleast I made it
What I learned
Effective debbuging
What's next for articulate
Search feature, profile page, follow each other and like others article and many more ...
Backend link :-
https://github.com/harshal2030/nodeart
Built With
java
javascript
objective-c
react-native
ruby
starlark
Try it out
github.com | Articulate | A app which has ability to create articles and view others articles | ['Harshal sanghvi'] | [] | ['java', 'javascript', 'objective-c', 'react-native', 'ruby', 'starlark'] | 29 |
10,056 | https://devpost.com/software/the-weather-and-water-alert | Inspiration The idea came from a real life app that is much more complicated than this, this app was meant from farmers and would give farmers up to date data about soil fertility, moisture, etc; all in the hopes of conserving more water.
What it does What this app does, is currently, it takes random data for wind, temperature, rainfall, and water consumption (provided by xylem), and tells the user any weather situations they should be aware of ex: if there is high rainfall that could signal a possible hurricane or storm. And tells the user on whether or not they should be conserving more water taking their weather into account for example during a drought you should be conserving more water.
How I built it I built this app using python, and the openmaps api for some of the temperature data.
Challenges I ran into I have spent most of my time working in java script and Java, originally I was going to make this web based, but doing something I know I could do defeated the purpose of doing a hackathon, and python was a language which would be great for something like this, and a language in which I have very limited experience in, so at first I was incredibly lost, the syntax of the language confused me, I would get random parsing errors, and I had a particularly hard time using the Pandas module
Accomplishments that I'm proud of I'm just happy the program works, hopefully in the next few hours I can add in user input, but this is essentially the first program I've ever written in python, and I wasted the first 6 hours trying to get a stock predictor going so I am very proud of what I accomplished in the time I had.
What I learned I learned the basics of python, and a lot more about the data science aspects of the language.
What's next for The Weather and Water Alert Hopefully user input will be done in the next few hours.
Built With
openmap
python | The Weather and Water Alert | This app alerts the user of extreme weather situations, and advises the user on their water consumption (should they be conserving more etc;) | ['Arpit Das'] | [] | ['openmap', 'python'] | 30 |
10,056 | https://devpost.com/software/droughts-and-storms-website | Inspiration: I did this project as there were not many easily accessible prediction websites for droughts and hurricanes
What it does: This project is a website that shows graphs and gives predictions for futures in droughts
How I built it: I used html and css to build the website, and JS to build the algorithms that calculate the predictions
Challenges I ran into: I had to scrap my original idea which used JAVA due to time constraints.
Accomplishments that I'm proud of: I was able to finish in time as I was unable to do my original idea due to time constraints
What I learned: I learned how to use basic JS for this project
What's next for Droughts and Storms Website: I will update this project to create my own graphs and be able to use satellite data to generate new, more accurate predictions.
Built With
css
html
javascript
Try it out
github.com | Droughts and Storms Website | It is a website that allows the drought and storm data to be easily accessed and gives predictions for future droughts and storms | ['Gnandeep Chintala'] | [] | ['css', 'html', 'javascript'] | 31 |
10,056 | https://devpost.com/software/ph2o | pH2O Logo
Circuit Diagram
Inspiration
We were learning about rerouting Grey Water in our Chemistry class when we started wondering if RO machines balance water pH. Thus, we started experimenting with digital solutions to conquer this problem which led us to this project.
What it does
Our solution makes use of an Arduino hooked up with servos motors. The servos motors have 2 purposes, 1 of them is to mix the water, the other 4 acts as the valves. Along with that, there's a pH sensor (A gravity analogue pH sensor) to send signals to the Arduino with float values of the pH. The looping algorithm of the Arduino is very simple. First, it opens the entry valve for a fixed time frame to let water in, then it closes. Then the pH sensor retrieves the pH of the water. Following that, if the pH is below 6, it adds the basic solution, comprising of minerals like calcium, through opening the valve and closing it after a fixed amount of time. If the ph is above 7.5, then an acidic solution is added instead, comprising of liquids like lime juice, in the same manner as the basic solution. Then the motor with flaps mixes the water solution and repeats the process of checking the pH value. If the pH is in the acceptable range, the output valve is opened, letting the water out and closing once the module is emptied.
How we built it
We built our project using Arduino.
Challenges we ran into
Using our Arduino simulator on TinkerCad we couldn't simulate a pH sensor and the valves, we could instead only simulate them using servo motors. In the physical version which we may build in the future, we would wire up a Gravity Analogue pH Sensor in any of the remaining pins for the Arduino and with minimal adjustments to the code, we could make our project a reality. We would also 3D Print the valves that would be necessary and attach them to the servos.
Accomplishments that we're proud of
We were able to develop an algorithm to fix this problem, emulate a working solution in time and do all of this in a medium/language that we were unfamiliar with at the beginning of this Hackathon.
What we learned
We learned a lot about Arduino and programming Arduinos on the technical side, as well as the water purification process and about pre-existing solutions to rerouting greywater that we picked up during our research.
What's next for pH2O
We would like to make our project more affordable and extend its capabilities as a water purifier for not only drinking water, but for other purposes, too, such as irrigation. | pH2O | An Arduino project for balancing the pH of RO water. | ['Vikram Jaisingh', 'Prithviraj Singh Shahani'] | [] | [] | 32 |
10,056 | https://devpost.com/software/eatyourpi | Inspiration
When I write essays I need to source and site my points and arguments from many different news. And often times it gets messy when multiple tabs are opened, so I've decided to create eatyourpi website to help students to not only get news sites/sources easier, but also give them news sites that are trust-worthy and hopefully unbiased.
What it does
The website fetches top 9 recent news from 80+ news source. I used NewsApi to help with the fetching. When you choose one news source for example the bbc. The website will auto recommend you the most recent 9 articles. Those articles will have a title, a short description, date and author. Giving the user information about the article helping them to make better choices when choosing which article to site and read.
On the left hand side, there will be a small info box briefly introducing the news source they chose, the country and the category of the news.
How I built it
I used React JS (a javascript library) to program the whole website. I used bootstrap css to help me with the styling and simple html to have a bare bone for eatyourpi website.
Challenges I ran into
One of the main challenges I faced was time, because I joined the competition late and had to do a lot of catching up. Also, I'm not that familiar with APIs, so over the challenge I watched a lot of youtube videos to build up my understanding.
Accomplishments that I'm proud of
I'm really proud of the outcome, although there is still a lot of errors such as when the article doesn't have an image. But overall I'm really proud I've completed the first version of this website, especially when it fetches news real time from 80+ news site.
What I learned
I learned how to use Open source materials especially when time is running low. I also gained a deeper understanding in Api's calls.
What's next for eatyourpi
The next step for eatyourpi would be to have a input box where users can type in their essay title and the system will get keywords and return top 5 recommendations that will be the right fit for the essay based on the title. And in the future, I hope to add a reference section so for each of the news source it will return a short text that the user can put in their bibliography.
Built With
css
html
javascript
newsapi
react
react-bootstrap
Try it out
github.com | eatyourpi | A minimal news filter that recommends the most recent news from 80+ news sources. | ['Melanie Hsieh'] | [] | ['css', 'html', 'javascript', 'newsapi', 'react', 'react-bootstrap'] | 33 |
10,056 | https://devpost.com/software/wateralert | Home Page
Game Page
Scraped Data on Floods
Current City Status
Amount of water you can use
Edit: This is an accidental double-submission. (This was a throwback, just-for-fun hack.) Please consider Alz.vision as the main hack.
Inspiration
We wanted to address the water problem with a fun hack designed to teach, suggest, and have a little fun.
What it does
It has four screen:
Learn About Water: Using UiPath, we scraped information from leading water websites to bring users information about what is flood. We put the scraped data into stats.txt and then we selected which stats we wanted for the website. UiPath was able to get data by searching "what is flood" and "what is drought".
Current Water State: This dictates the state based on APIs for flooding or drought.
Water Usage Prediction: This uses an API to figure out the amount of recent rainfall, how many gallons of water it translates to, and how many gallons the user can use based on the population.
Game: The game is faucet finder. You try to find all the faucets in your home, and, if it is turned off, you get a point. The objective it to develop good habits.
How I built it
I used HTML/CSS/JS, Flask, UiPath Studio, and OpenWeatherMap and geocoder to get your location and weather based on your location.
Challenges I ran into
It was difficult to design a UI, get UiPath to work, and find the desired API. Also, it was difficult to read Xylem's data.
Accomplishments I'm Proud of
I feel as though I was able to get an outline of the app for this sprint and that it's actually functional.
What's next for WaterAlert
Hopefully, after another sprint, the app can be in a complete form. I really want to get the game working!
Try it out
github.com | WaterAlert | Alerting of how much water you can use, games, and more | ['Shreya C'] | [] | [] | 34 |
10,056 | https://devpost.com/software/testduino-jcwmo5 | logo
Inspiration
From being environmentally harmful, to being difficult to use and error prone scantrons are becoming a hassle for both the people who use them, and the environment . As such we wanted to make a testing device that would eliminate the need for a scantron forever, which lead to us making Testdunio!
What it does
Testdunio takes a set of hardcoded questions and allows the user to answer each one with instant feedback and marking. Furthermore, as we understand that writing structs in Arduino might be difficult for some people we made a state of the art website that asks the test maker to enter the question, choices, the correct answer and side by side provides the Arduino code that can be copy and pasted directly into your IDE. Moreover, Testduino does all this while saving trees that would have normally been cut for scantron papers.
How we built it
In order to build this device we used Arduino, and for the website we used HTML, CSS, and JavaScript.
Challenges I ran into
The most significant challenge that we faced during this project was the limitation of our Elegoo and the parts that we had. Although we could have used an online emulator to have access to every board and hardware component, we found that it became extremely difficult to have a fairly complicated circuit on Tinkercad. As we were limited to the parts that we had we had to make major modifications to our original plan such as avoiding databases and finding a replacement for buttons. One modification that we made was removing our database as we did not have a Wi-Fi module. Removing our database meant that we could no longer use a website to oversee all of the test creation, and as such, we had to switch to a website that provides you with the code that you need to replace in the Arduino script. Moreover, we also couldn't use buttons to correspond with the choices of the test as our Elegoo didn't have enough pins for five buttons. To overcome this challenge this we replaced our 5 buttons with an IR remote. In conclusion, the most notable challenge that we faced was combating the limitations of not having access to all the hardware that we needed for our project.
Accomplishments that we're proud of
During this project, our most notable achievement was being able to finish both the website and the actual hardware in the time limit.
What we learned
In addition to learning some unique JavaScript syntax, we also learned how to use wire and program new hardware components.
What's next for Testduino
As we were unable to add all of the features that we wanted due to hardware restriction our first addition to Testduino would be adding Wi-Fi compatibilities and adding everything else we originally hoped to accomplish.
Built With
arduino
css3
html5
javascript
Try it out
scantronsucks.space
github.com | Testduino | Making the classic scantron test better, while saving trees. | ['Ankit Gupta'] | [] | ['arduino', 'css3', 'html5', 'javascript'] | 35 |
10,056 | https://devpost.com/software/fill-the-cup-game | Menu Screen
Level 1
Level 2
Level 3
Inspiration
We based the game off of the idea of conserving water; in order to complete a level, you must get the majority of water droplets from the tap into the cup.
What it does
It is a game complete with a menu, scoring system, originally-made music and originally-made pixel art. For each level, there is the ability to open/start the tap or to restart the level, and at the end of each level, it gives you the opportunity to improve your score!
How we built it
We created the game using
Unity
. The pixel art was created using
Pixilart
(
https://www.pixilart.com/
) and the music was created using
BeepBox
(
https://beepbox.co/
).
Challenges we ran into
Due to having to track the length of the lines (in order to limit the total length of lines the user can draw), we could only allow the user to draw straight lines.
Because of the physical separation between our team members, we found it initially quite difficult to send each other parts of the game we had completed. However, it was a valuable learning experience.
Accomplishments that we're proud of
This was our first project which we all collaborated on, and for the majority of us, it was our first hackathon. Because of this, we're proud of having completed something we can show to everyone!
What we learned
We learned about collaborating as a team (especially when not being able to directly see each other's work). Since some of team members did not know how to create Unity scripts, another team member taught the others about how to create and implement them.
What's next for Fill the Cup Game
We plan to improve the game by letting the user to draw curved/freehand lines and adding more levels to the game! Additionally, we might add a level scrolling functionality to allow for longer and more interesting levels!
Built With
beepbox
pixilart
unity
Try it out
lexloug.itch.io | Fill the Cup Game | A game based on drawing platforms to allow water droplets to flow from a tap into a cup. | ['Anant Gupta', 'Alexis Giauque', 'Lollukeyp .'] | [] | ['beepbox', 'pixilart', 'unity'] | 36 |
10,056 | https://devpost.com/software/one-for-all-tkyc2d | Inspiration
savewater.online
I was inspired from an short film,where i came to know about the various problems related to water was happening in North America.So from there i got an idea for doing this project
What it does
In it's first page we have our main idea and the algorithm from which we can prevent wastage of water and some more things and i have a page where we come to know about the various problems going on in North America and some solutions also.We have some extra features like a software using which we can convert text into QR code which can be shared and downloaded.An image recognition software which can recognize some of the objects which we use in our day to day life.A text to speech converting software.A speech to text converter.
How I built it
I built it using kodular in which i added an website in it's home page which i made.
Challenges I ran into
It was very hard to learn about kodular in this much amount of time and making the website was also very hard
Accomplishments that I'm proud of
I am very happy that i managed to complete my project in this much amount of time
What I learned
I learned a lot about kodular,website making and the problems going around the world related to water and environment.
What's next for One For All
I will develop it's features and try to make it much better.
Built With
bootstrap
html5
javascript
kodular
mit-app-inventor
Try it out
i.diawi.com
www.savewater.online
github.com | One For All | A project to help control water crisis in North America. I have build image recognition software,speech recognition software,text to QR code software,text to speech software,speech to text softwaret | ['Drishtant Ghosh'] | [] | ['bootstrap', 'html5', 'javascript', 'kodular', 'mit-app-inventor'] | 37 |
10,056 | https://devpost.com/software/donatable | Signup Screen
Create Campaign
Welcome Screen
List of causes
Login Screen
Splash Screen
Inspiration
Our team has diverse members from all over the globe, so when we decided to build an app, we agreed it must be something for social good because from where our members come from they all have some specific localized problem (other than COVID) that the world needs to hear and support.
One of our members is from the US, where #BlackLivesMatter needs support. Another member is from Punjab in India where debt-laden farmers are suiciding.
All this pointed that we need to build something that
(1) streamlines the process of supporting them for people who want to help
and
(2) make a one-stop solution for people who need to start a campaign for fund-raising
.
TLDR; small actions x a lot of people = BIG CHANGE
Contact Us:
https://farahnada1000.wixsite.com/online
What it does
Currently, our app does the following :
For a donator :
A donator can see all the currently posted Campaigns and see their story requiring fundraising
Contact the Campaign via email or send money via email through PayPal
For a fundraiser :
Create and manage Campaigns requiring funding
How we built it
We did our entire built during the hackathon and wanted to make it in a simple, quick method so we have decided to use the following technology :
Kodular.io was used to develop the entire app. We didn't have to use a specific language because of Kodular's block layout for development
Firebase for the database of logins
Challenges we ran into
We ran into quite a few challenges during this hack but were happy it provided us with an opportunity to learn more.
Initially we had trouble fixing the way we were to build this project a few of us were good at Java for Android, others at Flask or Flutter
Our members were from different time zones: the US, the UK, India, and China. We even had a time difference of 12 hours between the members
Collaboration was an issue in Kodular as the platform did not natively support it. We created a new common email and logged in to Kodular together, with it to solve this
We initially used Firebase for the backend but this was causing problems but we eventually solved it
Accomplishments that we're proud of
It was the first hackathon for some of us, so we're proud of many things.
Most of all we got to meet and collaborate with people all over the world
We built a working app and that can later be built upon
The app is of great use to people all over the world. We're happy to be helping changemakers all over the world.
What we learned
Build and deploy apps super quickly and easily with Kodular
Gained so much experience collaborating
We learnt about many new services like Repl.it, Firebase, Agile development, and many features we hadn't used in GitHub
What's next for Donatable
Currently, our app is in something like a prototype or a closed alpha state, we're hoping to improve on the app and add following features
Make it a one-stop-solution for campaigns like manage details from Change.org and other campaigning services
Add features like how impactful is the topic and hashtags on Twitter, Facebook
Show the statistics and demography of users who have funded the cause through the app
Users who can fund projects will see projects available near them
Verification of campaigns and their causes
Categorize and sort campaigns according to priority
Give those who want to start a new campaign an opportunity to do so. The created campaign will run not only on our app but also on social media, Change.org and other services
Give awards and recognition to best contributors
The project will run as a non-profit with every feature and additional support for free. We intend to implement another donation feature for us, to cover the operating costs.
Built With
android
firebase
kodular
Try it out
drive.google.com
farahnada1000.wixsite.com | Donatable | Streamlines the process of supporting many around the world are suffering due to various causes and also for creating campaigns that need support. | ['Keshav Majithia', 'Noel Jacob', 'Aaron Santa Cruz', 'NadaBout boutaoui', 'NADA BOUTAOUI'] | [] | ['android', 'firebase', 'kodular'] | 38 |
10,056 | https://devpost.com/software/notuniversity-hack | Home page
Sign up page
This is a page with all posts
You can choose a sport and we will find teammates for you
And there it is
This is user profile page
Welcome to Athletic2gether!!!
We sincerely hope that on this website you will find great people sharing the same interests in sports and exercises as you do! In these days of social distancing this will help you stay in shape, plus, you might actually find an athletic friend for life!
After registration users are able to add and delete goal sports (activities they are willing to do) with their current levels in them. We encourage you to be honest about your skills, as they define the most suitable people for you to train with.
Then our advanced search system will be able to find several potential workout friends for you personally. You can send friend-requests to each one of them. When he or she will receive your request, he or she will be able to either ignore or accept you as a friend. When your friendship-request will be accepted, you and your new mate will receive each other's email address in order to organize joined workouts.
You can also create meaningful posts about health and exercises for all to see. Our team has plans to develop further this technology.
We are looking forward to upgrading this website after the end of the NotUniversity Hackathon! So stay tuned for future updates!
Built With
bootstrap
django
html
python
Try it out
github.com | Athletic2gether | This a platform to allow athletically active people to find each other and start working out together via the Internet in these times of social distancing and self-isolation. | ['Artem Mustafin', 'Ivan Dmitriev', 'Alexander Ryabchenko', 'Irina Klimanova'] | [] | ['bootstrap', 'django', 'html', 'python'] | 39 |
10,056 | https://devpost.com/software/rate-your-cop | The map functionality was updated after the video was created!
Inspiration
Our team was inspired to create Copper because we believe that police brutality is a big social issue today that needs to be solved. In order to hold law enforcement more accountable we came up with the idea to rate your interactions with law enforcement.
What it does
Copper has four main features: search, rate, list, and map. The search feature allows the user to search for an officer based on their badge number and precinct. The rate feature allows the user to rate their interaction with the officer; this feature captures the badge number, the city the incident occurred in, a rating of friendliness from 1 - 5, a description of the incident, and optional uploading of a picture of the officer's badge if the user was able to capture it. Additionally, the lack of a log-in feature is to protect the anonymity of the civilian reporter and decrease the likelihood of any retaliation by those unhappy with how they rated a particular officer.
How we built it
Together, we brainstormed Copper over discord and began to design it collaboratively in Adobe XD; later also allocating tasks, coding together, and debugging by communicating via discord. We built Copper using HTML, CSS, JavaScript, and JQuery in Visual Studio Code for the front end and we used Python and Flask for the back end, and pushed our code to GitHub to bring the web application together.
Challenges we ran into
We ran into challenges when having search results appear on the search page and spent a long time debugging the code. We spent a long time working on implementing the API and debugging our code in general. Additionally, we also ran into the issue of bringing our front and back ends of the project together.
Accomplishments that we're proud of
We are proud of the final project that came together and how we worked together as a team to create a relatively complex application in a short amount of time.
What we learned
We learned about API integration, jQuery, a whole lot about writing better code, how to debug properly, how to work effectively as a team, and code in a collaborative setting.
What's next for Copper
In the future, we could envision a more in-depth mapping feature that categorizes interactions with officers into good, okay, and bad and averages out the rating to each officers, matching an average rating to the officers on a map. This feature would allow users to see how the interactions between other civilians in their area and law enforcement have been. Additionally, if an officer is flagged with violence or receives an poor rating, we would create a notification system so that local government would be aware.
Built With
api
css3
firebase
flask
google
google-cloud
google-places
html5
javascript
jquery
python
radar.io
Try it out
github.com
rate-your-cop.uc.r.appspot.com | Copper | Holding officers accountable for their behavior through ratings in order to minimize unnecessary conflicts with civilians | ['Anjali Kumar', 'Fernando Cervantes Jr.', 'kara domushen', 'Gabriella Miesner', 'Yuyuan Luo', 'Alexander Krantz'] | [] | ['api', 'css3', 'firebase', 'flask', 'google', 'google-cloud', 'google-places', 'html5', 'javascript', 'jquery', 'python', 'radar.io'] | 40 |
10,056 | https://devpost.com/software/polibias-iqrwh9 | Inspiration
With the spread of the COVID-19 epidemic, more and more individuals are dependent on the news source for their connection to the outside world. With that in mind, many of us can get a false perception of what is happening and who to trust. To resolve this, our team of Keshav Ganapathy, myself, Iain Lee, Yuhwan Lee, and Mohamed Benalla developed PoliBias, an application that allows one to detect political bias in text and online articles.
What it does
We use a recurrent neural network to detect political bias in text and web sites. The neural network has a trained model and gets passed a string that goes through the model. From here, the model returns back a political bias value that the user then sees.
How I built it
With the languages HTML, CSS, and Python, flask library. Additionally, we used the ATOM and the Spyder IDE. We used HTML and CSS for the front end to make it visually pleasing, and flask for the back end infrastructure.
Challenges I ran into
Integration between the front end and the back end was the main one with flask as this was a topic my entire group was new to and making the neural network. Additionally, we were not able to get the logos to show up as a part of the page.
Accomplishments that I'm proud of
Getting the project to work! Though not fully integrated we have a relatively functional project. Also, we worked together and really capitalized on our individual skills.
What I learned
Neural Net Design, collaboration, and Integration via flask. Also, we learned different parts of web design such as scalability which is why we focused on things like mobile-friendliness. Lastly, we learned interlanguage communication which is something that none of us were exposed to before.
What's next for PoliBias
We hope to complete the integration between the front and back end and host the flask app so one can use it in real-time. Additionally, we did not get the file reading to work, so that is something we will work on in the future
Built With
css
flask
html
jupyter-notebook
python
tensorflow
Try it out
github.com | PoliBias | PoliBias is a flask app that uses a Neural Network for real time political bias detection of text. | ['Iain Lee', 'Keshav Ganapathy', 'Mohamed Benalla'] | [] | ['css', 'flask', 'html', 'jupyter-notebook', 'python', 'tensorflow'] | 41 |
10,056 | https://devpost.com/software/community-hub-website-05qkz3 | Community Hub Website
A prototype of a community hub website with news, events, links to services etc. that may be useful, especially in times like these.
Inspiration
I came up with this idea because I wanted to make something to try to help people, and in the current situation, a single hub website for services, support, news and alerts seemed like it may be useful to help people find and access the services they need. The idea's a bit like the 'local offer' councils have here in the UK, which has lists of resources for people and families about special educational needs.
The website itself is based from my existing Github pages
What I learned
Knowledge of the bootstrap components and grid system
How to host a basic site on Digital Ocean
What a hackathon is like :)
Challenges faced
It was my first time using Bootstrap, so it was definitely a learning experience! And I dived deeper into Jekyll than I have before, so I was basically stumbling through to figure out how to do certain things (for example: attempting to auto generate a breadcrumb, how to layout things), but through this I think I've learnt a fair bit about Jekyll, Liquid, and Bootstrap. :)
Technologies used
HTML, CSS
Bootstrap Framework
Jekyll
Digital Ocean Droplet for hosting
Built With
bootstrap
css
html
javascript
jekyll
Try it out
sunderb.me | Community Hub Website | A prototype of a community hub website with news, events, links to services etc. | ['Sunder B'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'jekyll'] | 42 |
10,056 | https://devpost.com/software/plants_water_tracker-u2vgp4 | Calendar, Add Event, and Reference pages
Water Saved, Plant Information, and Home pages
Garden Smarter, Not Harder logo
Inspiration
Over 50% of water used outdoors is wasted by evaporation, wind, or overwatering. While water waste may seem intangible since it absorbs straight into the ground or air, putting a number to the inefficient use of water helped us understand the need for a product that encourages everyday citizens to regulate their water supply. In particular, we hope to stay informed about water consumption and help other people stay informed on how they can cut back on waste from their own homes. Although sprinkler systems and other technologies help accomplish this goal, these systems are highly expensive, costing families thousands of dollars to install. Further, weather can be unpredictable and difficult to take into account alongside other important daily responsibilities. With summer coming up right around the corner, we hope to combat inefficient water use from gardening by introducing our app, Garden Smarter, Not Harder.
What it does
Our app allows ordinary gardeners as well as large scale farmers to regulate their crops and determine optimal times for watering their plants. By syncing our app with weather reports, we offer users a comprehensive calendar where they can plan out how often they water their plants, avoiding unnecessary overwatering by being alerted about rainy days. In addition, our app allows users to inventory their plants, both indoor and outdoors, across several different categories such as spruces or cactuses, helping them ensure that they won't accidentally forget about one! The common standard for outdoor gardening is to water about 2 inches each week (about once or twice a week depending on the type of plants and other conditions), and we hope to help users stay closer to the lower end of the spectrum of water consumption with the help of our app features.
How we built it
Our team collaborated on Android Studio using Java to build our app! We also used the Flutter SDK and Dart to implement the calendar feature since there was really good documentation available on the internet.
Challenges we ran into
One of our teammates had some prior experience using these technologies before, but Android Studio was new to the other two of us. It was definitely quite the learning curve to go from object oriented programming to building app pages using both Fragment and ViewModel files, but we were able to overcome some of the bugs we ran into by following tutorials and looking at Medium articles!
Accomplishments that we're proud of
We are proud of creating functioning pages on Android Studio despite our previous unfamiliarity! In the process of making this app, we also learned a lot about gardening and water waste, which was very insightful.
What's next for Garden Smarter, Not Harder
To increase community impact, we hope to expand our app across neighborhoods so that users can compare their daily, weekly, and monthly usage of water to those around them. We believe that this spirit of friendly competition will help foster a community of individuals aiming towards more efficient water management. In addition, we would like to enable push notifications to be able to notify and remind users when watering day comes around each week. Another feature that we would like to implement is the ability for our app to analyze other weather conditions other than rain, such as humidity and wind, to be able to warn users about times of drought that may require extra watering.
Built With
android-studio
dart
flutter
java
Try it out
github.com | Garden Smarter, Not Harder | Revolutionizing plant watering by monitoring weather, helping individual gardeners and farmers alike conserve water through smarter outdoor usage. | ['Alayna Nguyen', 'Emily Amspoker'] | [] | ['android-studio', 'dart', 'flutter', 'java'] | 43 |
10,056 | https://devpost.com/software/supportblm | Inspiration
The protests that have rightfully erupted over George Floyd's death made us want to do something, but it was hard to know exactly what - we found resources through google docs shared many times through instagram or passed along between friends; we heard discussion of going to protests but were unsure what to do if we were unable to do so. SupportBLM gives people a clear place to start: here are petitions to sign, books to read, places to donate if you are capable of doing so, and protesting tips.
What it does
Provides the user with information on:
Calling and emailing officials on both a national and local scale
How to support Black-owned businesses
Tips for safely protesting
Books to read to gain a broader understanding of the situation
Provides user with the opportunity to:
Directly sign petitions
Directly donate to organizations
Search for protests near them
View recent news articles related to BLM
The site is also easy to add new functionality to, which we are working on.
How we built it
The project is reasonably simple behind the scenes - just HTML, CSS, and JavaScript. The project heavily relies on
iframe
and modals to create popups that allow the user to access many different petitions and donation sites in one spot. The news feed relies on an RSS widget. The whole goal was to make a clean and simple user interface that had all the information users would need and tasks users would want to perform in one spot. The site is hosted using repl.it.
Challenges we ran into
One of the biggest challenges was getting the news feed to work - we ended up using a widget that did it for us, but in the future we'd like to code in our own version. We also struggled with getting some sites to connect with the iframe - for example, we still haven't gotten change.org to properly load in an iframe. This was partly difficult because the project is hosted using repl.it, and hyperlinks have specific requirements we were unaware of. We also had some difficulties with the map displaying protest locations, and ran out of time completing that. Finally, we had a brief moment of concern wondering if iframes were secure ways to donate money through (seeing as that often requires sensitive information) but were able to determine through mentors that it was secure.
Accomplishments that we're proud of
We're very proud of how the website looks and how the user is able to interact with different petitions, books, and donation sites easily and cleanly. The horizontal sliding, for instance, allows the user to scroll through many options easily, and makes the site more accessible across different devices. Seeing the site start to come together as a usable tool was very exciting.
What we learned
We learned a lot about the Google API early on when we were trying to use Google Maps for the protest map (ended up not being used in the final site). We also improved our design skills in the process of creating a better user interface. We also continued to improve our approach to web dev and understanding of the tools that go into it.
What's next for SupportBLM
One major thing is expanding the donation and petition sections to be more complete, and getting iframes with change.org links to work - I think they have a semi-retired API that is half of the issue. Another is improving the map - getting a list of e.g., facebook events and having them show up as pins on a map would be way better than the current map stripped from a U.S. News article. Finally, adding a way for people to contact an email associated with the site to suggest improvements would be pretty nice.
Built With
css
html
javascript
repl.it
Try it out
supportblm--heather.repl.co
github.com | SupportBLM | Want to help with the Black Lives Matter protests but don't know where to start? SupportBLM provides access to information about protests, petitions, donating, and more techniques you can use to help. | ['Auden Y', 'Lavanya Sharma'] | [] | ['css', 'html', 'javascript', 'repl.it'] | 44 |
10,056 | https://devpost.com/software/an-educational-simulation-of-income-taxes | Image Sourced form Fox Business
Inspiration
After analyzing the convoluted German income tax brackets for an economics extracurricular on fiscal policy in Germany, we realized how inherently unintuitive the current income tax system is for the average citizen. In a bid to make understanding income taxes more accessible to the general public, we built a function that could take in a marginal income tax bracket and output a more intuitive average tax rate. This is especially relevant when considering the changing income brackets as a result of the economic downturn precipitated by COVID-19, something that many citizens hear on the news but may not understand the consequences of such changes on both the macroeconomy and for their own bottom-line. This educational simulation of Income Taxes hopes to achieve such a goal to improve the financial literacy of the average citizen.
What it does
The simulation is split between four different sections. The first takes in a country and an income from a user and simply returns the average tax rate, while the second and third show the differences between income tax rates through comparing the average tax function and the impact different income taxes have on the marginal dollar earned at different incomes. The final part lists a series of scenarios, where examples of tax bracket changes and their subsequent impact of the user's income allow the users to understand how real-world decisions by governments impact their income taxes.
How I built it
We first planned our project by creating the general structure of the code, along with several base mathematical functions related to income taxes. We then created the average tax rate function through a series of integrals and expanded our general function to be able to include the unique tax brackets of several different countries and used matplotlib to graph the function. Using the average tax function, we graphed a derived function on Tkinter that focused on diminishing marginal returns.
Challenges I ran into
This hackathon was our first time learning and using Tkinter, a GUI toolkit in Python. It was especially difficult since the unique syntax and structure of Tkinter made it difficult when we ran into issues. One of the most difficult challenges was finding a model that was able to compare the impact of different tax structures on the incentive to work, along with the development of the average tax rate function.
Accomplishments that I'm proud of
With this being one of our first hackathons, we were extremely glad that we were able to finish and our code functioned. While the topic that we approach would appear rather bland to most, we tried to make it as interactive and simple as possible, as we believe that this simplicity will help users gain a better understanding of income taxes.
What I learned
We learned the Tkinter GUI toolkit for Python in less than 24 hours, along with how to integrate graphs and functions from the matplotlib library into the GUI. We also learned how to effectively integrate matplotlib with Tkinter along with using Python Imaging Library.
What's next for An Educational Simulation of Income Taxes
We hope to expand our project to include the income tax brackets of more nations, alongside possibly building a data-driven analysis on related concepts such as the Laffer curve.
Built With
matplotlib
python
python-package-index
tkinter
Try it out
github.com | An Educational Simulation of Income Taxes | Using marginal income tax brackets from around the world, we built a simulation that calculates the average tax rate, analyzes tax structures and determines the effect of fiscal policy on income tax. | ['Phillip Yan', 'John Zammit', 'Matthew Cheng'] | [] | ['matplotlib', 'python', 'python-package-index', 'tkinter'] | 45 |
10,056 | https://devpost.com/software/sound-bound | Inspiration
We saw a need for an audio controller that could optimize volume to provide a more pleasurable auditory experience. The application of this technology is that it can minimize the startling jolt of jumpscares and loud advertisements, and simultaneously raise the volume when dialogue is too low or the end user is hard of hearing.
What it does
This tool controls the volume form an audio source, mitigating sudden changes in volume and keeping volume within certain bounds. Users can select certain preset modes to amplify volume, to help those who may be hard of hearing, The everyday user would use the normalization feature, which limits changes in volume to a certain number of decibels per unit time, to prevent sudden spikes of loudness. Hard limits are also available in the form of upper and lwer bounds that keep volume within a clear but not-too-loud range.
How We built it
We mostly used Python to build the tool, while the website included CSS, JavaScript (React), and HTML. We brainstormed ideas for what our hackathon subject would be beforehand, ultimately settling on a volume control tool. All coding for this tool was done during the competition time frame.
Challenges I ran into
It wasn't easy to figure out how to collect the relevant data. Further, we ran out of time to be able to make the back end code full adapted for a user interface. Nevertheless, the code for the website and the back-end code are linked in the two GitHub repositories below. Sample audio clips are included in the Google drive linked below as well.
Accomplishments that I'm proud of
Though this project is incomplete, the coding process went smoothly! All things considered, we consider this a learning experience--and that makes it a successful hackaton.
What We learned
We learned how to collect and handle audio data from a browser, a relatively uncommon feature. Some of us were introduced to new languages and software.
What's next for Sound Bound
We plan to fine-tune the volume control tool and introduce a number of other auxiliary features.
Built With
python
react
Try it out
soundbound.now.sh
github.com
github.com
drive.google.com | Sound Bound | Restore decency to the audio experience on the internet | ['Josiah Adrineda', 'Austin George', 'William Lin'] | [] | ['python', 'react'] | 46 |
10,056 | https://devpost.com/software/watersaver | Inspiration
We realised that most water wastage happens at home, we don't realise whether we're using more water than we need or we are making it more polluted and harmful for the enviroment.So we made it our mission to make a simple project and hardware from which we can track the water usage and its pH to make analysis on it and contribute to the betterment of society by saving water.
What it does
It uses Water Flow Sensor and pH to track the amount of water used and pH and then gives you a report on our website at
https://thedarkeyezor.github.io/NotUniversityproject/
. In the future, we hope to implement a feature that can advise a user where to limit their water usage, for example in washing clothes or bathroom usage and how they can the water pH neutral so it won't harm the Enviroment.
How we built it
We used a Raspberry Pi 4 to get the data,Analyze it and post it into our website. We used Bootstrap,HTML,Javascript , to build our website.We used some Python Libraries to make the Back-end of the website.
Challenges we ran into
Completing the project within the deadline
Accomplishments that we're proud of
Getting it up and running
What we learned
Start hacking earlier on 😅
What's next for WaterSaver
Implementing a more detailed report on the percentage of water used and how to limit it, If it is over the advised amount.We have plans to improve it so it can give customized results to different users.
Built With
bootstrap
html5
json
python | WaterSaver | A water usage tracker that uses sensors and hardware to get your water data to you | ['Harsh Kumar', 'Dark the Eyezor'] | [] | ['bootstrap', 'html5', 'json', 'python'] | 47 |
10,056 | https://devpost.com/software/reportr-9rfw7b | Home Screen
User is recording Video
User has taken video, and is given option to retake or use the video
User can send the generated email
Petitions Screen
Trigger Warning: Our video contains footage that might be upsetting to some viewers
Inspiration
The past few weeks have been emotionally tolling for all of us, as we have witnessed the horrific deaths of George Floyd, Breonna Taylor, and Ahmaud Arbery. Many people have gone out to protest, demanding change. While the police in many areas have cooperated with the protests, some
Departments even joining the protestors
, some peaceful protestors have been met with police brutality (assault, tear gas, etc.). In most cases of this, the officers at fault broke the law, and some Police Departments have reprimanded their own officers. However, most instances of this aren't recorded on camera, giving one no evidence that can be used in court. Furthermore, even if one was able to take a video, most people are unsure where to share it to have the greatest impact. To bring justice and accountability to these cases, we developed Reportr, an intuitive mobile application that allows users to report instances of police brutality.
What it does
Reportr allows the user to report instances of police brutality to the ACLU, your representative (in Congress), and local police departments. When the user opens up the app, they are given 2 options:
Take a Video
Capture Audio
The user then is given the option to share the audio/video captured with the ACLU and others. Once the user clicks on the mail button, we automatically create an email for them using their location data, time, and the captured video and/or audio. The user can then send the mail to their representative, the ACLU, and their local police department (These three are the best to contact if you want to pursue justice). On our second screen, the user is directed to 4 petitions that they can sign to bring about change.
How We built it
We started off by researching into the problem, and we learned why current solutions weren't adequate (they were unintuitive, had long response times, etc.). Overall, we found that justice wasn't achieved most of the time, even when pursued. We tailored our application to better meet user needs through an intuitive UI and reaching out to the right people. Once the preliminary work was done, we created mockups for our application in Adobe XD to build an effective UI. We then built this app using the Swift Programming Language within the XCode IDE with the following libraries: MessageUI, MobileCoreServices, UIKit, and Foundation.
Challenges We ran into
We had to brush up on our Swift skills at the start, which made the initial coding take longer than expected. However, this was a short phase that we quickly got over.
We had issues saving the video as a local file and needed proper permissions to write a file to the phone. Furthermore, we generated a unique name for the video/audio file.
The hardest part about our project was integrating it into the cloud, as we wanted it to be possible for the videos to be preserved even if one's phone was destroyed. We learned how to create tables with a user's information in Firebase, however we were unable to get automatic video uploads fully working.
Accomplishments that We're proud of
We have a fully functional prototype that will be published to the App Store!!
Our app uniquely allows people to record and report police brutality via audio and video. Furthermore, we have a platform that both allows users to report police brutality and gives them the ability to sign petitions to bring justice to those harmed by it.
We were able to integrate our key features into a clean, accessible UI. We chose to use minimize the amount of text on the home page and used high color contrast to make our app more accessible to those who are colorblind or have low vision.
What I learned
Developing this significantly improved our skills with Swift. We had done a project or two in Swift before, but neither of us could consider ourselves experienced in development in Swift. This project gave us experience tackling an issue in our community, and we learned a lot from this hackathon, most of which can't be found in tutorial videos or StackOverflow answers. Furthermore, we learned how to make a mobile application interact with a database in the cloud. Even though this feature isn't complete, we learned a lot when working on implementing it; specifically how to create and structure tables in Firebase.
What's next for Reportr
We are currently working on automatically uploading the videos taken to Firebase, in case a phone is damaged. Unfortunately, we ran out of time debugging and were not able to get it to consistently work. However, we're confident that we can get the uploading feature working within a few hours, and we will post an update once that is working. We also plan on publishing this to the app store after refining our design based on feedback. We hope that this app can serve as a step in the right direction in police-community relations through increasing accountability.
Built With
messageui
mobilecoreservices
safariservices
swift
xcode
Try it out
github.com | Reportr | Mobile Application to Record and Report Police Brutality | ['Harish Krishnakumar'] | [] | ['messageui', 'mobilecoreservices', 'safariservices', 'swift', 'xcode'] | 48 |
10,056 | https://devpost.com/software/file-encrypted | Login page
home page
browsing page
browser
The data in a test file
encrypted file
Inspiration
Our inspiration is based on the biography of Alan turing from the movie "The Imitation Game".
Where the plot was based on breaking the encryption of enigma using the turing machine.
What it does
The application we created converts every character of the file to Ascii values.
Thereby further changing it into another value based on the famous Einstein equation E=mc^2.
where m=ascii value of the character and c=minute of time(when it was created).
How I built it
We used a formula that has a variable constant in it in order to encrypt a file and this is all implemented by
python GUI library tkinter. The library was used to make a small GUI application which gives users a simple interface in order to encrypt a local file.
Challenges I ran into
As it was our first Hackathon we encountered a lot of errors and debugging process.
Our project posed a challenge to store the used time key without others seeing it.
Hence it took a reasonable amount of time to figure it out.And the final hop included the process of incorporating everything into our GUI.
Accomplishments that I'm proud of
Even though the project looks simple we believe its quite tough to break through the encryption without knowing the key variables and what equation it is based on.For which we are proud .
What I learned
We learnt a lot on manipulating Ascii and time modules in it.And some principle knowledge in cryptography.
What's next for File encrypted
The next goal of our project is to increase the randomness and frequency of encryption.
So it changes its value after a particular period of time based on a particular key and to improve security.
Built With
python
tkinter
Try it out
github.com | File Encrypted ! | Our project is based on Cryptography, we basically encrypt local files for security purposes, this is the key is formulated by the local time when it was encrypted. | ['RAGHUL P S', 'Vetrivel M'] | [] | ['python', 'tkinter'] | 49 |
10,056 | https://devpost.com/software/templater | example cmd
Inspiration
The inspiration for the project was that I constantly needed to write production level projects, and didn't have anything to store the structure. For JS, I needed to set up tslint file again, along with some prettier configs, among other stuff. This way its easy to create templates locally, and share some official ones with others!
What it does
There are 2 aspects to it. The CLI is easily downloaded, where you can create templates and load them locally. Then you can login with GitHub and upload them to our servers to share them with other people etc. The second great aspect is that you can share it with other people and search all the templates with the UI nextjs website, so that people can look for good templates, compare templates, and easily get templates without a prior communication of the slug.
Installation
go get -u github.com/neelr/templater/cmd/plate
Get the package from github
go install ithub.com/neelr/templater/cmd/plate
Install the package!
How I built it
I build the CLI using Golang and the base os libraries. I use firebase to host files and for user storage. For the actual user authentication, I use GitHub oauth, because most developers have a GitHub account. Then for the second part I used the api I built for the CLI in the first part to make an interactive website to search peoples projects and take a look at the README among other things.
Challenges I ran into
The biggest challenges I ran into was uploading and storing the folders, which I eventually settled on firebase storage with zips for. This was something I had to learn from scratch so it was super fun. Another thing was querying the database, because I needed to index it myself because Firebase doesn't support sub-string queries.
Accomplishments that I'm proud of
I never before have created a Golang CLI app, and its probably the best documented project I have and best commented, for other developers to understand! Another thing I love about this project is that I use Firebase and GitHub Oauth, which is something I've wanted to use for sometime, but have never gotten around to using, so this was a fun first time!
What I learned
GitHub Oauth
Go CLI Practices
Firebase Storage and FireStore
What's next for Templater
I want to show this to people on product hunt, and at the hackathon because I feel this could be something very useful if many people are on board and using it! Also I might probably make the database indexing a bit more efficient than the current way I do it.
Built With
golang
nextjs
node.js
react
vercel
Try it out
templaterx.now.sh | Templater | Stop writing the same templates all over again! Use Templater, a great way to create, find, and share templates over the internet. | ['Neel Redkar'] | [] | ['golang', 'nextjs', 'node.js', 'react', 'vercel'] | 50 |
10,056 | https://devpost.com/software/phoneafriend | Display of phone book(MainPage.php)
Inserton of data in to the database
search a contact with name
search a contact with phone number
Calculate age of a contact and compare it with another contact
Delete a contact
Configure database
Inspiration
It is inspired from a typical phone directory in our mobile phones. The concept shown here is to have a local phone directory along with the contact details of our friends under one single umbrella. We know that in today's world we can't meet people often like in the olden days because the distance of our acquaintances is increasing day by day. So to contact them whenever we want, we need a record of out friends, family and necessary people contact in one place. So this project solves this issue.
What it does
It typically does all the basic things like insertion, deletion in a phone book. Additionally I've created a page for date calculation. Explanations below.
The functionalities as as follows:
Configure : this is a setup of database(postgresql). Pgsql needs a host name, port number and a database name for it to start it's work.
Insert a contact : Insert a new contact with related information.
Delete a contact : Delete a contact by entering his/her name and phone numbers.
Search a contact: Search a contact by Firstname / Lastname / by phone number.
Calculate Age : Calculate age of each person in the phone book. You can even compare their age with another person.
How I built it
Firstly the HTML and CSS part was made.
Basic PHP, CSS, HTML5, Database used is PostgreSql.
XAMPP server was installed to run the app.
Start the server and then open localhost:81/MainPage.php
Challenges I ran into
I was new to database and learnt the basic insertion, deletion and searching techniques and made this application working. I even realized I'm very bad at styling and I tried my best to put some random colors which is suitable.
Accomplishments that I'm proud of
I successfully connected Pgsql admin database with my app and now it is running on my local machine with Xampp server.
What I learned
I learned Database(Pgsql) and PHP from scratch. I also learnt how to use PgAdmin in my local system.
What's next for Phone-a-Friend
Next I am planning to deploy it on a domain and publish it in the web soon :-)
Built With
css
html
pgsql
php
Try it out
github.com | Phone-a-Friend | A digital phone directory with contact and related information of aquaintances. | ['Haripriya Baskaran'] | [] | ['css', 'html', 'pgsql', 'php'] | 51 |
10,056 | https://devpost.com/software/contrac | Inspiration
n/a
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for [please refer to other submission conTRAC] | conTRAC] | please refer to other submission | ['Ad J'] | [] | [] | 52 |
10,056 | https://devpost.com/software/bigotry-detection-service-machine-bdsm | Homepage.
Getting racist tweets from @drdavidduke. As one can imagine, there are a LOT of them.
More David Duke tweets.
More Duke tweets...
More ...
He's not a very good guy, is he?
Nonexistent Twitter account.
A refreshing absence of bigotry!
About page.
Contact page.
Changelog.
Github repo.
Bigotry Detection Service Machine
GitHub
Demo Video
Table of Contents
Problem Statement
Idea / Solution
Dependencies / Limitations
Future Scope
Getting Started
Built With
Authors
Acknowledgements
Problem Statement
Bigotry, in all forms, seems as pervasive as ever in today's political climate (need we a better example to look to than current events?). Coupled with the meteoric rise of communication over the internet in recent decades, it's become disgustingly easy for any given individual to spew unbridled prejudice and hate towards anyone through the web. This online bigotry comes in all shapes and sizes, from the more overt, slur-heavy forms to those that are comparatively subtle, and thus more difficult for social media platforms to identify, flag, and remove. And it's this problem that our Bigotry Detection Service seeks to address.
Idea / Solution
This website aims to identify the racist (or otherwise derogatory) social media posts from any user (from public figures to the average Joe), in the hopes that a comprehensive, efficient algorithm to eradicate online hate speech can be one day developed, making the internet a safer, more inclusive place for everyone.
Dependencies / Limitations
For our predominantly-Python backend, we made use of several popular frameworks to ease our workload.
First up is Flask, which we employed for two main purposes. Firstly, we used it to serve our static files, including the styling sheets and the scripts-- Flask also acted as an API layer, allowing us to separate the logic of our code from the client-side.
To coordinate with the Twitter API, we used Tweepy, primarily to pull the latest tweets and retweets from a given user's feed. The username would be sent with the API call to our Flask server.
We also implemented IBM Watson's Tone Analyzer service to evaluate the tone of the tweets, which we used in conjunction with an analysis of the tweet's subject matter to determine whether or not said tweet contains prejudice against a group of people.
Combining all this, we produced the backend for the product; from there, the information is relayed to the comparatively straightforward (but no less easy to produce) frontend. In its current state, the website is limited solely to checking posts from Twitter, but we anticipate to expand to other platforms, such as Facebook or Reddit.
Future Scope
In the future, it's quite possible that this service could be expanded to the majority of social media platforms, and the analysis would not be limited to just a users' own posts, but other social media activities as well (e.g. one's Facebook groups). This would give a more detailed evaluation since more posts/social media activities can be gathered. Furthermore, additional criteria for bigotry would also be incorporated into the analysis in order to produce more accurate results.
Getting Started
Prerequisites
Python 3.6 or later is recommended
A recent version of pip
Installing
MacOS
Clone the repository into the directory you choose.
git clone https://github.com/sm49697/nu-hacks-2020.git
Enter the backend of the repository to start setting up.
cd nu-hacks-2020/backend/
Create and enter a Python virtual environment.
python3 -m venv venv
. venv/bin/activate
Install the dependencies.
pip install -r requirements.txt
Get API keys and authentication from Twitter (create a developer app) and Watson Tone Analyzer. Replace the contents of
config.txt
with your Twitter authentication details, and
watsonconfig.txt
with your Watson Tone Analyzer authentication details.
config.txt
:
twitter_api_key
twitter_api_secret
twitter_api_access_key
twitter_api_access_secret
watsonconfig.txt
:
watson_api_key
watson_service_url
To the text file
badwords.txt
, add a list of words to be used by our algorithm to detect potentially bigoted, racist or derogatory posts. Given that the
Devpost Community
includes minors above the age of 13, and respecting the
Devpost Community Guidelines
, we have opted
not
to provide a list of words for this file. In order for the algorithm to utilise the words in the
badwords.txt
file most effectively, we suggest including words that relate to
race, gender, religion and other groups
in a negative connotation:
this
is
an
example
of
the
format
for
the
list
of
bad
words
Running the server.
export FLASK_APP=main.py
python -m flask run
You can now visit the website!
localhost:5000
Windows Command Line
Clone repository into the chosen directory.
git clone https://github.com/sm49697/nu-hacks-2020.git
Enter the backend directory of the repo.
cd nu-hacks-2020/backend/
Create and activate a virtual Python environment.
python3 -m venv venv
. venv/Scripts/activate
Install dependencies.
pip install -r requirements.txt
Get API keys and authentication from Twitter (create a developer app) and Watson Tone Analyzer. Replace the contents of
config.txt
with your Twitter authentication details, and
watsonconfig.txt
with your Watson Tone Analyzer authentication details.
config.txt
:
twitter_api_key
twitter_api_secret
twitter_api_access_key
twitter_api_access_secret
watsonconfig.txt
:
watson_api_key
watson_service_url
To the text file
badwords.txt
, add a list of words to be used by our algorithm to detect potentially bigoted, racist or derogatory posts. Given that the
Devpost Community
includes minors above the age of 13, and respecting the
Devpost Community Guidelines
, we have opted
not
to provide a list of words for this file. In order for the algorithm to utilise the words in the
badwords.txt
file most effectively, we suggest including words that relate to
race, gender, religion and other groups
in a negative connotation:
this
is
an
example
of
the
format
for
the
list
of
bad
words
Run the server. Paste/type the set command
exactly
as written below.
set FLASK_APP=main.py
python -m flask run
You can now visit the website!
localhost:5000
Built With
Flask: server
Tweepy: twitter API wrapper
Watson Tone Analyzer: tone analyser
Authors
Lucas Sta Maria -
sm49697
Simon Huang -
simonyellow
Adil Farooq -
FarooqAdil
Acknowledgements
All work on the Bigotry Detection Service Machine was done during the NotUniversity Hacks hackathon June 6-7, 2020
Built With
css
css3
flask
html
html5
ibm-watson
javascript
python
tweepy
Try it out
github.com | Bigotry Detection Service Machine | Pinpoint prejudice on Twitter with the wonders of artificial intelligence. | ['Simon Huang', 'Lucas SM', 'Adil Farooq'] | [] | ['css', 'css3', 'flask', 'html', 'html5', 'ibm-watson', 'javascript', 'python', 'tweepy'] | 53 |
10,056 | https://devpost.com/software/brighten-gac9bv | What inspired me:
The prize category of the "Best Hack for Social Good" was what I went for off the bat since we're in a time of great turmoil where people need to be reminded that there is a lot of good in this world. I have heard a lot about apps that provide a donation platform and people sending cards to social workers to show appreciation so I thought I could create a place where all of that comes together in a safe environment.
What I learned:
I learned a lot more about how to use MongoDB which I have not really experimented with before. I definitely improved my JS skills because client and serverside programming was completely Vanilla JS. I also found something called MustardUI which is a very simplistic CSS package which I love using now.
How I Built It:
I made a fullstack application using HTML, CSS, JS, and MongoDB. I first setup the client UI, the form and setup the page for listing all posts. Then I setup the MongoDB server, added GET and POST routes. Then I added CORS, a Profanity Filter, and a request limiter. I then used FETCH and listed all of the messages on the home page. I spent a lot of time trying to understand how to deploy my project onto MongoDB Atlas and Heroku/Vercel but I could not get that to work in the end.
Challenges I Faced:
At the end of the project, I wanted to deploy it very badly. I tried many methods, using Vercel's tools, Heroku's MongoDB Addon, but I just couldn't get it to work in time. I accepted my defeat and just demoed the application on my localhost.
For the Future:
I like this website idea a lot and am already working on extensions for it. This includes a NLP for sentiment analysis so that I can grasp whether a user is genuine in their message or not, deployment to MongoDB Atlas of course, a sorter for all the posts, and many UI changes to Brighten even more pleasing to look at.
Built With
css
html
javascript
Try it out
github.com | Brighten | A social media website made to create appreciation for social workers! | ['Hebu Patil'] | [] | ['css', 'html', 'javascript'] | 54 |
10,056 | https://devpost.com/software/weather-bot-5cr0i2 | A test use case
Another test use case
Weather-Bot
A Discord Weather Bot that gives the user information on weather reports in their region and suggests helpful measures.
## About the bot
This project is a submission for "MLH Not University hacks" hackathon.
Its sole purpose is to make it easy for the user to handle situations of severe weather. In favour to this, my bot also offers suggestions to the user based on the weather information fetched.
The Discord bot is a simple weather bot that integrates AccuWeather's API Service to fetch weather information in a region.
it is coded using the discord.py library.
Local Setup Instructions
Clone the entire repository
Create a discord bot using
https://discord.com/developers
. Create your application and bot to get your bot's unique Api key.
Invite your bot to your desired server.
Now get your AccuWeather api key at
https://developer.accuweather.com/
Paste your API keys in the .env file like:
Token = '<YOUR Discord API KEY GOES HERE>'
weather_api ='<YOUR AccuWeather API>'
Once you run your bot you are good to go ahead and use the bot.
Tools used for developement
VScode as an IDE
Postman for API testing
Discord, of course
Coffee machine 😜
Contact Details
Nitin Ravi
nitinravi18@gmail.com
Built With
accuweather
discord
python
Try it out
github.com | Zeal Weather | A Discord Weather Bot that gives the user information on weather reports in their region and suggests helpful measures. | ['Nitin Ravi'] | [] | ['accuweather', 'discord', 'python'] | 55 |
10,056 | https://devpost.com/software/waterworks-fgibh8 | the logo I made for the website
Inspiration
Inspired by the Water Hack prize, I thought education is a great way to help those in less fortunate situations.
What it does
A user friendly website that seeks to educate users about the importance of water conservation as well as providing weather updates sourced from the National Weather Service.
How I built it
Built using a Bootstrap CDN and I attempted to use the National Weather Service API to retrieve weather data.
I used JSON and Ajax calls to retrieve the data.
Challenges I ran into
For website design, I ran into some issues with centering and overall making it appealing to the eye.
The main source of challenges came from implementing the API. I have had previous experience doing ajax calls, but it has been a few years since I last did for school, so I struggled to relearn how it worked.
Accomplishments that I'm proud of
Making the weather forecast section functional as well as creating a clean site within the time constraints.
What I learned
Learned more about how to perform JSON parses and utilizing different types of APIs.
What's next for WaterWorks
Including more information as well as more weather related updates, also need to make it more mobile friendly.
Built With
api
bootstrap
css3
html
javascript
Try it out
flin1.github.io | WaterWorks | A site that promotes water conservation education and alerts users about weather forecasts in their area | ['Fay Lin'] | [] | ['api', 'bootstrap', 'css3', 'html', 'javascript'] | 56 |
10,056 | https://devpost.com/software/article-summarizer-0s2n53 | Index Page
Sample URL
Output, A perfect summary that reduces the amount of reading significantly
Inspiration
I had little time to look through the news article and even then I was not able to finish reading the news. This inspired me to create a fast way to read the lengthy articles in a short period of time in order to have time to finish reading the news.
What it does
My project helps to summarize web articles to reduce time that is spent reading the news. The must paste the link of the article and hit submit. Then the website and/or app will shorten the article, anywhere form a sentence to a paragraph, allowing the user gain the same amount of information while utilizing less time which then can be used for something more productive.
How I built it
This project was built using python natural language toolkit and personally scraping and implementation algorithms using beautiful soup. The whole interface was written in a combination of HTML/CSS/JS. Additionally we were able to implement mobile version by using heroku online hosting
Android Download Link:
https://s3.amazonaws.com/gonativeio/static/5edabab146111c28c199603a/app-release.apk
Challenges I ran into
Switching from web flask to website, coding for texture, and using user interface. I tried to create a button that would allow the user to go back to the summarizer page, however I was only able make the website and app, but the user can refresh the app or go back to the summarizer page using the back button.
Accomplishments that I'm proud of
Successfully changing a web flask into a website and app, being able to create appealing appearance, highlighting as the user reads, and using user interface.
What I learned
I learned how to convert a web flask to a website, code for texture in python, and create user interface.
What's next for Article Summarizer
Being able to summarize multiple articles with having to refresh or go back, allowing user to choose summary length, and diversity in language options.
Built With
csi
html
javascript
python
Try it out
nlp-article.herokuapp.com
www.theverge.com
github.com | NewsPoint | A short sweet summary of long articles! | ['Neha Singhal', 'Aditya Singhal'] | [] | ['csi', 'html', 'javascript', 'python'] | 57 |
10,056 | https://devpost.com/software/washo-xl1adt | Washo's custom app icon!
View your wash history to make sure you wash frequently
Start your wash timer and wash properly
Add a new frequented location
Check your frequented locations and manage them
Inspiration
During this crucial crisis, many people forget to wash their hands when they come back home or visit the grocery store. Washo attempts to solve this by reminding you whenever you enter such locations. It also includes a timer to make sure you wash properly. Track your past washes to make sure you do it frequently!
What it does
Washo has a washing timer, set to 30 seconds, including visuals of the steps to wash, and a pause/resume button. It also has an easy-to-view and simple interface. You can also view the history of your washes. It includes an option to add your frequented locations, such as your home, workplace, stores, and more. When ever you enter those locations, it notifies you to wash your hands.
How I built it
I created a new project using Xcode and wrote the code in swift. I required the location of the user, and access to notifications, so I requested for those. I built the map view and other views within the storyboard and proceeded to connect the code. In the end I added fixed some bugs.
Washo was built using Xcode + Swift. I already have quite a bit of prior experience using them, so I was able to get started right away. I requested the user for location access and notification access as those were required. Building the map view took extra time as I did not have prior knowledge on those. I built the map view and other views within the storyboard and proceeded to connect the code. In the end I added fixed some bugs.
Challenges I ran into
It was hard figuring out how to enable the location access to work in the background & foreground as well as use it to setup geofences. This required lot of research and viewing of tutorials to implement. Setting up the map view and adding the locations also proved difficult, as this was my first time working with core location, and maps.
Accomplishments that I'm proud of
I started this project just yesterday, when I heard about this hackathon. I'm proud that I managed to create an almost complete product in relatively short time, especially with technologies I'm not familiar with. I also am happy I managed to get the location usage working. I'm also very excited for whats to come and hope to officially launch this app on the app store!
What I learned
I learned how to use Core Location, and create a MapView. I also learnt more about overlaying views on top of each other, and improved my existing knowledge of UIKit. I improved my swift knowledge by learning more about switch/type and Timers. It was also one of my first times working under such time pressure and it was a very fun experience for me.
What's next for Washo
I hope to use Radar and its SDK in Washo so it reminds you whenever you visit restaurants, grocery stores, and other buildings or even when you come back home all automatically. I also want to update it with settings for the time length for washes along with push notifications. Themes and settings for the notifications would also be cool!
Built With
apple-push-notifications
core-location
ios
mapkit
swift
xcode
Try it out
github.com | Washo | Stay safe with smart reminders to wash your hands! | ['Pranav Karthik'] | [] | ['apple-push-notifications', 'core-location', 'ios', 'mapkit', 'swift', 'xcode'] | 58 |
10,056 | https://devpost.com/software/triviarun | Inspiration
Throughout quarantine, many of my fellow students and teacher in my High School were always wondering if there were going to be any tests, and if there was, how would they be administered. Of course, my project does not solve that problem but it gave me the idea to start working on test based application. And of course, since I love games and competitiveness, I decided to make a game where people compete against one another on tests.
What it does
This program helps people keep their brains sharp and ready for use. Users can run the client and wait for there to be one other person running the client. They will then be matched against each other and each client will receive a test which they have to complete. The person to get the most answers correct on the test the fastest wins! Unfortunately no prizes.
How I built it
I used java as the language. For the UI, I used JavaFx, a now external library for java. For the networking, I used Netty.
Challenges I ran into
This was my first time using JavaFx and Netty, so the entire thing was a huge challenge for me. I had trouble designing classes properly, eventually just combining most of the classes into a somewhat organized pile of code. Also, since it was my first time using Netty and one of my first times ever networking, I also had trouble figuring out how to send and receive data.
Also, there is a problem that sometimes the clients wont start the game and will just stay on the connecting screen. I do not know the cause of this problem.
Accomplishments that I'm proud of
Honestly, just being able to send messages across the network from a Client to the Server and back from the Server to the Client. Clearing that huge obstacle gave me enough motivation the finish this project.
What I learned
I learned a lot about networking with Netty (but there is still a lot more to learn), and some basic functions in Javafx.
What's next for TriviaRun
I plan on fixing up the Server side a little and making the UI more pretty.
Built With
gradle
java
netty
Try it out
github.com | TriviaRun | A fun faced paced competitive trivia game to help keep your mind sharp. | ['Hrishikesh Ingle'] | [] | ['gradle', 'java', 'netty'] | 59 |
10,056 | https://devpost.com/software/takeaction-zidasv | ignore | ignore | ignore | ['Andy Chen', 'Siddu Palaparthi', 'Ivan Mudarth'] | [] | [] | 60 |
10,056 | https://devpost.com/software/smart-water-quiz | I was watching the Xylem workshops and came to the realization that the mentors were looking for ways to increase exposure in order to get more people to adopt water-conservation principles. I took what I know from the act that it is easier to form a good habit at a younger age so they will follow it through later on in their life and are more likely to pass it on to others.
I designed the questions in a way that they would challenge what the person taking it may already. Especially gearing them towards kids I wanted to provide statistics that would blow their minds and lead them to the realization that water conservation is bigger than they think. The "shower_demo" widget allows for a hand-on approach that helps the targeted audience grasp the scale of water use.
I used my knowledge of JavaScript combines with the platform "code.org" and it's app lab feature. The app lab feature presents a clean GUI that is highly compatible with mobile devices.
One of the challenges that I ran into was developing an easy hierarchy that would be simplistic yet fulfilling. I needed to present information that would be enough to keep the attention of the user but would not scare them away.
I am proud of how the project turned. I think the GUI and the content of the quiz is simplistic but meaningful enough to keep the user entertained. I am also proud of the fact that program and code behind it works bug-free and is hard to mess up on.
Considering this was my first Hackathon I learned quite a lot of things. First of all I learned the importance of time management as I am finishing this way past acceptably societal bed times. Next, I got inspired to learn python and HTML as that would allow me a lot more freedom with the ideas I have. However, I also understand that relatively simplistic tools such as code.org can also be used to fulfill my vision.
I would like to find a way to integrate this quiz into a website using HTML. Furthermore, I would like to find a way to propagate this quiz through the Internet and garner more attention for water conservation and Xylem.
Built With
code.org
javascript
Try it out
studio.code.org | Smart Water Quiz | Exposure is one of the biggest issues any conservation movement. I decided to design a quiz and widget targeting younger people that will educate them on water conservation and raise awareness. | ['Pavel Shilenko'] | [] | ['code.org', 'javascript'] | 61 |
10,056 | https://devpost.com/software/literacykey | Inspiration
We have always been avid readers, devouring books one after the other. As we grew older, however, we were surprised to see that many of our friends and peers seemed to have lost interest in books. Our observations were supported by the Fraser Insitute rankings, which showed that scores for the Ontario Secondary School Literacy Test were steadily declining. So, we made this app to help combat this issue and improve literacy competency.
What it does
This app helps hone users' literacy skills. It allows users to make an account that keeps track of their reading. They must enter the number of books they have read that month which will earn them points and awards. These awards are meant to incentivize people to read more. Additionally, our app features a search form with a database of books and summaries that they have access to if the user is having trouble finding a book to read.
How I built it
We were planning on using android studios to make this app, but the emulator was only periodically working so in order to make a finished product, we decided to use MIT App Inventor.
Challenges I ran into
We ran into a challenge when we first tried to run our program on Android Studios. In order to run, it needed an emulator yet our emulator just wasn't working. So we had to change plans and move our program to MIT App Inventor. We faced a challenge of learning a new way of programming, but with the help of online tutorials and
our own intuitions, we got through it.
Accomplishments that I'm proud of
We are proud of learning the basics of how to make an app. This hackathon really pushed us to expand our horizons and appreciate just how much work goes into everyday apps we use, from creating the layout on paper to the actual development of the app.
What I learned
We have learned how to quickly adapt to problems that arise. When our plan of using Android Studios was foiled, we had to learn how to translate all the work we'd done to MIT App Inventor.
What's next for LiteracyKey
We hope to expand our database to include a lot more books in the search section. As well, we hope to improve the user interface and design for the awards and scores portion.
Built With
mit-app-inventor | LiteracyKey | Reading, writing and literacy are essential skills. However, study shows that these skills are slowly declining. LiteracyKey hopes to change the direction of this trend. | ['Jayanti Upadhyay', 'Norika Upadhyay'] | [] | ['mit-app-inventor'] | 62 |
10,056 | https://devpost.com/software/buzza-quiz-bowl-virtual-buzzers | Top Bar displays latest buzz
Log-in Screen
Student View
Teacher Dashboard View
Inspiration
I am an avid participant in my school's quiz bowl team. Sadly we don't have any buzzers and purchasing buzzers for the whole team costs upwards of $1,000. I built this app so teams like mine can practise quiz bowl without large costs.
What it does
To use the app, a teacher or club leader starts a game by clicking "new game". Then a random game id is generated which participants can enter along with a username. Then the teacher needs to enable the buzzers by clicking the "Enable Buzzers" button on the leader dashboard. Then when someone wants to buzz they simply click the big "Buzz" button. Then once they are done giving their answer either they can disengage the buzzer or the leader can.
How I built it
I began to build it with a simple structure of how the Socket.io would work. I used Express & Node.js. Then I build a basic UI around it using normal CSS. I also used Javascript to hide elements and create a flow. Finally, I added the teacher dashboard on top of that to make it easier to use.
Challenges I ran into
I major challenge I faced was using Socket.io and building features on top of it so that the game doesn't break in fringe cases. This is also the thing that I am most proud of it as I problem solved my way there.
What I learned
This is one of the few projects I've used Node.js in so I learnt a lot more about Node.js. I also learnt a lot about DOM.
What's next for Buzza - Quiz Bowl Virtual Buzzers
I want to make it the ultimate platform for Quiz Bowl including question sets and scoring.
Built With
javascript
node.js
socket.io
Try it out
buzza.sampoder.com
github.com | Buzza - Quiz Bowl Virtual Buzzers | 💥 Virtual buzzers that make quiz bowl accessible! Made using Socket.io & Javascript. | ['Sam Poder'] | [] | ['javascript', 'node.js', 'socket.io'] | 63 |
10,056 | https://devpost.com/software/flash-type | Inspiration
I've been practicing typing a lot in order to get faster, but the site that I use often has too many ads and causes lag which decreases overall performance. I was also inspired by the show Flash hence the theme.
What it does
It basically gives you a new word every time you enter the correct word. Then you would gain a point. If you take the score and you divide by 1 minute you get would the wpm of your typing speed.
How I built it
I built it using CSS/HTML for the front end and back end using javascript.
Challenges I ran into
-Learning CSS, HTML, and javascript at the same time
-CSS and HTML wasn't as hard but Javascript was another monster
-It took me a while to understand how to link all three languages and how they interacted with each other.
Accomplishments that I'm proud of
I'm proud of taking myself through this journey and building my first project in 12 hours.
I'm also really proud of how nice the heading looked.
What I learned
I learn how the language how all the language interacts with each other, how functions work in js, and how to do random stuff like embed fonts, images, and videos.
What's next for Flash Type
I was highly disappointed with myself for underestimating the difficulty of learning 3 languages at once and wasn't able to accomplish what I had in mind. Hopefully, in the future I will be able to not just match words with words but characters with characters. Other features like letting the user add their own text, programming option where the text you have to enter include {}()[]:;"', and the text would be more than just one word and is actually a paragraph. I would love to be able to add a login feature and keep a record of people's scores.
Built With
css3
html5
javascript
Try it out
github.com | Flash Type | My idea was too write a typing game for myself and potentially others if it was good enough. | ['Khoa Le'] | [] | ['css3', 'html5', 'javascript'] | 64 |
10,056 | https://devpost.com/software/unlock-app | Inspiration
The pandemic that is happening right now.
What it does
It helps people have fun and stay healthy.
How I built it
Using Thunkable
Challenges I ran into
Fixing errors
Thinkable that I'm proud of
Completing the project
What I learned
How to use the app
What's next for Unlock App
Adding more features
Built With
thunkable | Unlock App | It helps people in quarantine. | ['Atchya-Nandan15 Nandan'] | [] | ['thunkable'] | 65 |
10,056 | https://devpost.com/software/h-to-o | Welcome to H to O!
The Shopping List Page, allows you to choose the items you need so that the app can show you the store with those items in stock.
The tips page gives you a variety of tips on saving water and some facts.
The Maps Page, showing you stores around you.
Landing Page: Home
Inspiration
In all times of crisis such as floods, natural disasters and pandemics like the one we are experiencing now, essential supplies are in large demand. In such a time it is very important for people to be able to get access to these supplies. We wanted to build an app that allowed people to quickly and efficiently find the stores which had the supplies they needed, basing the ideas off issues we all personally felt during these troubling times.
What it does
H to O
is a comprehensive app, which allows people to find the essential supplies closest to them. When you open the app you are greeted with an interactive map that shows you nearby stores that carry the supplies you need. You can see the inventory by clicking on the store's icon and clicking the popup with the inventory automatically shows the directions to the store. The
Shopping List
page allows you to add the items you require and when you click to confirm, it efficiently runs through every nearby store's inventory and finds the closest one that meets your demand and shows you their location on the map. Finally, a
Tips
page educates users on the water crisis, raises awareness, and directs them to resources where they can learn more about it!
How we built it
We built
H to O
using
Flutter
, a relatively new SDK backed by Google that harnesses
Dart
. We chose to stick with Google for the database as well, opting with
Cloud Firestore
to house each store's inventory. We used the
Google Maps API
for the map which provided us with the tools necessary to make a very appealing map that any user can navigate around and understand. Using an API like Google Maps which is still in Developer Preview was an interesting experience.
Challenges we ran into
Storing data in Firestore and then populating it as markers on the map was challenging. Getting the type of item the user wanted and then animating to maps page and showing the store was also challenging. Reading data from and writing data to the database was quite challenging as we had to keep track of each document and make sure we were pulling from the right parent. This was only our
second
time using Flutter to make an app, so we ran into many syntax related issues due to us being relatively new to it. Furthermore, the Maps API for Flutter is still in active development and we were running into many issues that the development community was unable to solve as well.
Accomplishments that we're proud of
Given our short history with Flutter Development and little to none with Firestore and the Maps API, we are very proud of what we were able to accomplish in such a short period of time. From the get-go, we were organized and approached the intimidating task with an optimistic mindset that helped us persevere through bugs and issues that seemed almost impossible to solve. NotUniversityHacks has provided us with an amazing opportunity to learn and develop our skills, and we had a blast talking and connecting with like-minded individuals in the Discord server!
What we learned
This was a very rewarding experience for us as we used technologies we were not very familiar with. Everything we did teach us a little more about what we were using and how we can apply it in the future. We used the Google Maps API for our project which we were completely new to and had to learn how to use it as we went along. Using Google Maps API for the first time taught us a lot about using maps, formatting of markers, populating data on the maps from an external database. Moreover, Cloud Firestore means that in the future we have a reliable database to store information, and now we know how to read and write to the database.
What's next for H to O
As a concept, we kept
H to O
limited in the number of items the user is able to search, and the locations nearby. The database is fully capable of expansion, so in the future, we plan to expand this data to include more stores around the world. We hope that we will be able to help those in need of essential goods during times of crisis and be successful in our mission to spread awareness. We also hope that local business owners will see this app as an opportunity to boost sales and keep essential items in stock for the betterment of the local community. We can't wait to see where
H to O
goes!
Our Submission for the domain.com Prize:
We built a landing page for our Flutter app:
http://h2go.tech/
.
Hopefully you'll be able to visit the site, the DNS rerouting was tricky. The pictures of the landing page are in the gallery.
Built With
android
cross-platform
dart
firebase
firestore
flutter
google-cloud
google-maps
ios
Try it out
github.com | H to O | An efficient cross-platform app that allows you to request essential supplies and quickly find out which nearby stores have it in stock! | ['Ashish Selvaraj', 'Philip Choi', 'Mashrur Chowdhury'] | [] | ['android', 'cross-platform', 'dart', 'firebase', 'firestore', 'flutter', 'google-cloud', 'google-maps', 'ios'] | 66 |
10,056 | https://devpost.com/software/extracurricular-planner | Dynamic Dropdowns
Home page
Add/Remove Rows
I am a high school freshman working solo on my second hackathon.
My project is the High School Extracurricular Planner website. It is a way for students to plan out the clubs and activities they want to participate in during their high school years. There are drop-down menus with many different clubs to choose from as well as links leading to social/community service websites and career websites.
Having a way to keep track of all the activities a student participates in will help with the college admissions process. I hope that my project will help students take initiative and be proactive during their high school/ middle school experience.
To create this project, I used HTML, CSS, and JavaScript. The index.html file is the main HTML file. The addremove.js file is responsible for adding and removing rows from the table. The dropdown.js file is responsible for the dynamic drop-down menus. The style.css file is the external style sheet file.
I plan on expanding this website to add many more areas of interest for students so that I have activities that appeal to students with different interests. As the data for my website grows, I would need to hook it up to a database like Mongo in the future.
Built With
css
github
html
javascript
Try it out
github.com
mayhazali.github.io | High School Extracurricular Planner | A planner to research and track all the activities a high school/middle school student participates in to help with the college admissions process. | ['Mayha Ali'] | [] | ['css', 'github', 'html', 'javascript'] | 67 |
10,056 | https://devpost.com/software/watevr | Inspiration
We realized that no one uses UiPath for hackathons.
What it does
The robot gives you a weather update alongside a joke.
How we built it
Using UiPath to automate webscrapping.
Challenges we ran into
A lack of time, had other things to do.
Uncertainty.
Timezone difference.
Accomplishments that we're proud of
Actually giving UiPath a try.
What we learned
UiPath looks daunting, but is pretty cool (and straightforward).
What's next for watevr
A long break doesn't sound so bad at the moment.
Built With
uipath | watevr | cloudy with a chance of humour | ['Jordan Wang', 'Raymond Weng'] | [] | ['uipath'] | 68 |
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