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10,508 | https://devpost.com/software/meta-ai | 1 day predictions
3 day predictions
home
Inspiration
I started noticing that there were a lot of cyclic patterns in stock charts and I did some research and learned that data scientists have used ML regression models and the patterns found in stock charts to predict future stock prices for a couple of years now, and I wanted to create my own models to test if it could be profitable
What it does
Essentially, Meta AI is a website with a database of some of the most trending stock right now. Using python and regression models that I've tuned, the website displays the most recent and accurate polynomial predictions of stock prices for these companies for the next few days
How I built it
There were 3 major parts in building this hack. First, I had to build the actual regression model which was probably the hardest part. I had to research the different types of regression models, choose the one that worked best, and coded the arrays and CSV files that I had of stock data to be plotted on the model. Next, I took the predicted values and placed them in firebase in order to move it to my javascript-based website later. Since I'm well versed in HTML and CSS, the last part of creating the actual website was quite simple. It was just connected to the firebase realtime database for the text and pictures, and I made a quick aesthetic design
Challenges I ran into
The largest challenge I ran into was initially getting the regression model to work. I tried 3 different regression models: linear, exponential, and decision tree before I finally tuned and settled on polynomial regressions and decided it was the best one. This alone took me a large chunk of the entire work time: maybe 5-6 hours.
Accomplishments that I'm proud of
I'm proud of being able to create the entire design of the website in 3-4 hours and integrating it with the firebase data very efficiently.
What I learned
Most of the regression techniques, tuning, and packages that I used were all completely new to me. I have plotted arrays and created equations before, but ML regressions were completely new to me so I had to learn as I went along with the project.
What's next for Meta AI
There are a lot of improvements I'd like to make to Meta AI after this hackathon, and after I get some sleep. First of all, I'd obviously like to expand. Currently, there are only 15 stocks being displayed, and Id like to make that at least 50. Id also like to add a search and in-built API function where visitors can search up the model for a specific stock and it calculates the regression on the spot. Id also definitely like to include SENTIMENT ANALYSIS. As I mentioned in my video and on my website, mathematics and financial data is only one factor in predicting stocks... using sentiment analysis, we can gauge a better understanding of what society thinks of the company which can give us a better understanding of where it's going as well.
Built With
css3
firebase
html5
javascript
json
machine-learning
matplotlib
numpy
pandas
polyfit
python
Try it out
metaaiml.github.io
github.com | Meta AI | Machine Learning stock prediction modeling website using a polynomial regression, allowing investors to easily predict small changes in the market | ['srivatsavbendi@gmail.com'] | ['Top 15 Projects'] | ['css3', 'firebase', 'html5', 'javascript', 'json', 'machine-learning', 'matplotlib', 'numpy', 'pandas', 'polyfit', 'python'] | 18 |
10,508 | https://devpost.com/software/clickbait-activism-rqlo27 | Inspiration
I was inspired by the many events and movements currently occurring in today's society, such as the Black Lives Matter movement. I have encountered racism, thus I could all deeply empathize with victims of various crimes. However, I realized that some people cannot/do not empathize with victims. I wanted to help those people see from a different perspective and change their way of thinking, re-educating them and dispelling any misconceptions about various movements. I also wanted people to be incentivized and even excited to learn about activism, hence the games, quiz, and points.
How I built it
With me having a beginner level of coding, I decided that a simple website with HTML, CSS and JavaScript was ideal for our solution. Despite being a beginner, I coded the entire solution from scratch, so there was naturally a huge learning curve, especially as this was created in the span of two days. HTML, CSS and JS allowed me to easily create an attractive, usable interface, whilst also being able to keep track of the functionality of different aspects of code using different external CSS and JS files.
Challenges I ran into
As I was a beginner, I naturally faced many challenges. It was difficult to work on a new platform which was Glitch. Since, I didn't have much coding experience in the past at all. Despite that I pushed through and learned many new things from the workshops and searching things up on my own.
Accomplishments that I am proud of
I am very proud of the home page, as that is one of the main features to attract those with unjust behaviours. Additionally, I am very proud of the points system in place, as there were a lot of complications trying to pass variables between different files.
What I learned
I learned many HTML and CSS techniques, such as styling photos between text on the homepage and the tags, as well as how to pass variables between different files in JavaScript. I learned more applications of JavaScript, especially for the games and point system.
What's next for clickbait-activism
There are many things I could add to clickbait activism. One feature would be to add a pop-up video on the homepage, to directly confront the user. I would add a login feature for users to save their points and map their progress to have a more gamified approach that would further incentivize people to stay educated and up to date. People who share our link would also get points. In the future, I would also start social media accounts that would use the same clickbait strategy. I would have better prizes that would be more appealing to inspire users to keep learning, maybe with the help of sponsors.
Built With
css
html
javascript
Try it out
clickbait-activism.glitch.me | Clickbait Activism | I aim to re-educate those with unjust beliefs, such as those with racist/patriarchal behaviours, using a motivational rewards system, with points gained from a variety of activities across the site. | ['Katherine Xu'] | ['Top 15 Projects'] | ['css', 'html', 'javascript'] | 19 |
10,508 | https://devpost.com/software/nippon-xperience | Inspiration
Due to the pandemic, our family was not able to go to Japan this year. One of our most favorite things in the summer has been the festivals and especially the dance at the end. We first wanted to allow other people to see what Japanese summer festivals were like but then decided to expand it so that people can learn about the other beautiful seasons as well.
What it does
Through AR, our project allows users to get a taste of Japan in all four seasons. In the Springtime, Cherry Blossom trees sprout everywhere, painting the area a light pink. In the summer, many festivals occur and in most, people do the "Bon Dance" around a "Yagura". In the fall, bold hues of red surround historic temples and shrines. In the cold winter, hot springs are a go-to, especially if you can enjoy nature, like Mount Fuji, along with it.
How we built it
The whole program was coded in Java through JGrasp. For the spring section, we used sketchup to find a base and modified it a little. We used TinkerCad to build the structure from scratch in the summer section. We ran out of time so had to use pictures for fall and winter. All of the AR elements were done through echoAR and Unity.
Challenges we ran into
We initially wanted to have people in all of the sections but being beginners, we could not animate people so had to go with characters instead. Even then though, the characters were not moving in the AR mode as we expected so we ate up a lot of time attempting to fix it.
Accomplishments that we're proud of
Using Tinkercad to build something as detailed as I was able to was extremely fulfilling. We used GUI in Java but we only learned it very recently so we are glad that the program runs smoothly now.
What we learned
This was our first time using echoAR and AR technology. Although we cannot say we are any good at it, we did find out how to use it in many different scenarios and learned the intriguing applications of it in the real world(Seeing that the anatomy of a patient can be shown to a surgeon during surgery was eye-opening!).
What's next for Nippon XPerience
First, we would like to make 3d structures for fall and winter which we did not have enough time to do. Also, since we restricted ourselves to just the four seasons, it may be interesting to expand it to just hot-spots around Japan, so that people can learn even more about the different ways to enjoy their time there.
Built With
echoar
java
sketchup
thingiverse
tinkercad
unity | Nippon XPerience | Have a taste of all four seasons of Japan in the comfort of your home | ['Hiromi Yoshizaki', 'Kenta Yoshizaki', 'Hiromi Yoshizaki'] | ['EchoAR Prize'] | ['echoar', 'java', 'sketchup', 'thingiverse', 'tinkercad', 'unity'] | 20 |
10,508 | https://devpost.com/software/fitme-wfi24x | Inspiration
Originally we were taken by surprise that there was no theme or prompt for the hackathon, but we quickly came together to begin brainstorming ideas. When we were brainstorming ideas for this project, we knew we didn’t just want to create something simply for the sake of entering the hackathon. We wanted a project that addressed a real problem that we faced, something that would be practical to use long after the deadline had passed. That’s when we realized that we all had one issue in common: a lack of physical activity.
Due to COVID-19, we’ve been locked up in our houses for almost half a year with nothing productive to do. We haven’t been exercising and have instead been binging on snacks in boredom--and we know we aren’t the only ones, as this is one of the most common complaints about the quarantine in social media and online forums. But even if people seized the stay-at-home opportunity and the free time the quarantine has granted us to get started on some workouts, a lot of them wouldn’t even know where to start! That’s why we created FitMe.
What it does
FitMe is a website that allows users to create an account with their basic information, fitness level, workout preferences, and equipment. In the workout tab, they enter the days of the week during which they are available and the type of workout they are looking for. Then, a program auto-generates a workout schedule for them and recommends exercises of each type based on their specifications. In other words, your exercises and routines are tailored to suit your needs exactly! FitMe wouldn’t just help beginners get started with their exercises, it would also help athletes and people who regularly work out maintain a balanced schedule with exercises that suited them. We were really excited to get started on this idea because of the range of people that it could help.
How we built it
We utilized Firebase to serve as our backend along with our login-system. Our website was made with HTML, CSS and Javascript. The site was split into several parts: styling/aesthetics, parsing and recommending exercises, generating a schedule, and account functionality and features. Our team of four divided and conquered these tasks to construct our site. The recommendations were made to be based on the user-provided data, with only exercises that matched the user’s level, equipment and other factors being shown. The schedule-generator was tailored to beginners and made to stick to a basic 3 workouts per week with one day rest in between as much as possible. We stored user info in Firebase and used their unique user IDs to link the information to the accounts.
Challenges
Of course, we needed to overcome many problems as we were coding. One of our main issues was communication, as we often found ourselves working on the same code as team members due to vague task assignments. We later corrected this by specifically stating which part of the code we were working on before we started a new task. We also had problems with creating a schedule in a logical and consistent way, but through trial and error were able to find an algorithm that works.
What We Learned
Throughout the creation of this website, the team got together and discovered many different cool aspects of HTML, CSS, and Javascript. Developing a website normally requires coming up with creative solutions to myriad design problems as you work, and this is especially true when the website has to go from concept to fully realized in less than 30 hours. In overcoming the various limitations we encountered as we worked, we became more capable coders and app developers.
What’s next for FitMe
We want to expand FitMe to support more types of workouts, and more ways for people to customize their profiles and preferences. Right now, we have support for a relatively wide array of space and equipment settings, but an expanded version of FitMe would need even more to provide the best possible workout recommendations to our users.
We would also like to enhance the power of the schedule maker tool, and make it easier to constrain certain elements of the suggested schedule to better fit your needs, or to query FitMe for a new schedule if your first one doesn’t satisfy you. One way we could do this is by implementing a way for users to specify their preferences for individual exercises.
In the end, we created a product that we are truly proud of--a fitness website that could help users with a variety of fitness levels and preferences stay healthy and fit during quarantine. We had a lot of fun coding this project and hope to continue working on it in the future.
Emails:
andyzhang@ctemc.org
,
nisrinivasan@ctemc.org
,
hazaky@ctemc.org
,
beknobloch@ctemc.org
Built With
css3
firebase
html5
javascript
Try it out
github.com
nhacks-671d0.web.app | FitMe | FitMe is a fitness website that helps users stay fit and on track during quarantine. The program recommends exercises and creates routines specifically tailored to match the user’s preferences. | ['Nivedha Srinivasan', 'Hazem Zaky', 'Andy Zhang', 'Benjamin Knobloch'] | [] | ['css3', 'firebase', 'html5', 'javascript'] | 21 |
10,508 | https://devpost.com/software/all-things-pup-4tbaq2 | All-Things-Pup
Is a website that is to help new pup owners be the best pup owner they can be with tips and advice! I was inspired to make this because I own an older pup but sometimes getting him supplies like food, collars, and harnesses was a struggle. So I knew that there were others like me that found it difficult to get what they need for a new pup. This is not including vets and groomers. Those two things are a whole different thing that is also talked about on the website. I built the entire website using HTML and CSS. I had some challenges linking each separate HTML page. I learned how to do that and I also learned how to improve my web development skills.
Built With
css
html
Try it out
repl.it | All-Things-Pup | Pup advice for new pup owners! | ['https://youtu.be/F-Ov-66-LNk', 'Angelina Adamiec'] | [] | ['css', 'html'] | 22 |
10,508 | https://devpost.com/software/the-knowledge-and-brain-corp | Inspiration
We thought about what all happened this year and decided to help people who couldn't get enough learning. We also thought about how people were bored throughout quarantine and decide to make many fun games for them to play
What it does
It provides original games and virtual learning websites from all over the world
How we built it
We used HTML, CSS, JS, and Python. We also used scratch for the games, piskelapp to make the art, and Bosca Ceoil to make the music
Challenges we ran into
We had some challenges of the program not able to run Python programs and Scratch one's as well. Another problem we had was trying to save space in our Scratch games to make them run smoothly, especially in our racing game. We also never learned how to add Scratch games in our project
Accomplishments that we're proud of
We managed to make 5 fun games, 2 education games, and 2 applications that allow you to be as creative as possible in the span of 30 hrs
What we learned
We learned how to embed python and Scratch games into HTML. We also learned how to use the Scratch pen tool in our games, to make 3D applications. Another thing we learned was how to style our games and how to create a physics in our game. Lastly, we learned how to make our own sprites and music.
What's next for The Knowledge and Brain Corp
More educational games.
How to access:
Most of the games made can be played through the Scratch links and you can play the other games by using the code in the Github Repo
Try it out
scratch.mit.edu
scratch.mit.edu
scratch.mit.edu
scratch.mit.edu
scratch.mit.edu
scratch.mit.edu
scratch.mit.edu
github.com | The Knowledge and Brain Corp | This project is about a website with games, that help soothe your mind, yet give you information on virtual learning websites from all over the world | ['Abhijit Sudharsan', 'Ishneet Kaur', 'kian yamamoto'] | [] | [] | 23 |
10,508 | https://devpost.com/software/the-new-and-improved-hangman-a3dhuw | Screenshot of Hangman Code
Inspiration
This project was inspired by my interest to digitise some common games which we used to play as kids. I have made a python tic tac toe before, and now, hangman came to mind. However, I did want to change things up a little bit, hence the new and improved hangman.
What it does
This project is a rather simple python program, mainly using functions, if, else and while loops to play the game.
How I built it
I built this program using the Visual Studio Code editor, with the python extension.
Challenges I ran into
I did not know how to find the indexed position of a word unknown to the user, but with some trial and error, and reference to multiple other projects, I could come up with a reliable system to locate the indexed position of a certain letter entered by the game player.
Accomplishments that I'm proud of
I am proud of the growth and learning which I achieved in the last 36 hours, from the Nhacks workshops to me working on my project. This is something that I could not have had anywhere else, and the experience gained is unmatchable!
What I learned
I learned a little more intricate or twisted indexing with letters in words, and the extensive use of which functions and global variables to create certain conditions under which the game can be played. These may help me in future projects, and they have also contributed to a greater understanding of functions, loops and variables.
What's next for The New and Improved Hangman
I would like to learn more about iOS development and the swift language to be able to develop this new hangman game into a more appealing app, rather than a simple program. Otherwise, I would like to incorporate this into a website, which I could do after extensively learning web development.
Built With
python | The New and Improved Hangman | This game is a newer version of Hangman, a game which we are all too familiar with, tracing back to our sweet kindergarten days. | ['Mihir Mutyampeta'] | [] | ['python'] | 24 |
10,508 | https://devpost.com/software/beginner-html-website-on-repl-it-html-css-on-esp8266-32 |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
(function (d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
GIF
I have a ESP8266 board that I mistakenly bought. I wasn't ready to use one and yet I bought it, so I hope this site could help people decide which MCU to buy.
I learned quite a lot of HTML and CSS doing this.
I built this site with repli.it.
Luckily, I didn't face many challenges but I did struggle with the table in it.
Imageflip watermark since I used it to convert mp3 to GIF.
My email is
Hugo.y.hu@hotmail.com
Built With
css
html | Beginner HTML Website on repl.it- HTML, CSS on ESP8266/32. | A beginner project that makes a HTML site with repli.it comparing ESP8266/32 with Arduino. | ['Hugo Hu'] | [] | ['css', 'html'] | 25 |
10,508 | https://devpost.com/software/pokemon-spiral-dungeon | Inspiration
Our team enjoyed playing Pokémon games during our childhoods. We decided to make our own little Pokémon game to relive those times.
What it does
It's a mini Pokémon game. You get your first Pokémon from an old man, then you venture into a cave conveniently located next to your house. Eventually, you find a legendary Pokémon in the deepest depths of the cave.
How we built it
We borrowed assets from Pokémon Essentials, which itself uses RPG Maker. RPG Maker acted as the framework for our game. From there, we made our own maps, trainers, and events.
Challenges we ran into
Some of our engine runs on Ruby, which we didn't know about at first.
We were limited in terms of design and tiling. We had to use external image editing tools to recolor some of our sprites, as well as adding sprites of our own.
We had numerous issues with audio. Adding custom music was difficult, as well as adjusting the volume of the music (since it usually came out extremely loud).
Coming up with the trainer names as well as their teams was time consuming.
Accomplishments that we're proud of
For the player to get their first Pokémon, we decided to give them a personality quiz and give a Pokémon based on their choices. This differs from the conventional method of simply picking a starter Pokémon. Coming up with the quiz questions and handling the logic for deciding which Pokémon to give was very rewarding to see working.
One of the rooms contains a puzzle in which the player navigates a slippery ice maze. Creating this puzzle was tricky, but we managed to make one that wasn't too hard but not too obvious either.
For every level of the cave, we came up with different wild Pokémon encounters which vary in type.
What we learned
We learned the basics of Ruby as well as how to use RPG Maker. We gained enough knowledge about this engine to possibly make our own games with it in the future.
What's next for Pokémon Spiral Dungeon
On our own time, we are going to add more levels and trainers, expand upon our story, and introduce more Pokémon and game mechanics to make it feel more like a Pokémon game.
Built With
rpg-maker
rpg-maker-xp
ruby | Pokémon Spiral Dungeon | A quick and simple Pokémon game where you discover the mystery of Cave Ledark. | ['Alex Phan', 'Ayush Karma', 'Tajveer Saini'] | [] | ['rpg-maker', 'rpg-maker-xp', 'ruby'] | 26 |
10,508 | https://devpost.com/software/robotic-rube-goldberg-machine | Inspiration
Me and My Friend both love exploring Rube Goldberg Machines and we also love Programming, so we decided to make a Full Autonomous Rube Goldberg Machine. We really hope you like it!
What it does
It is a Full Autonomous Chain of Events that we programmed to start from the Beginning and end with a Robot Beating a Video Game.
How I built it
We made all of the parts separate, after planning, and then we put them together at the end, to make the final outcome. For Arduino, I used the Arduino Software.
Challenges I ran into
We ran into a lot of challenges with timing for the robot playing the game at the End, eyt we persevered and at the end, We were proud of the outcome.
Accomplishments that I'm proud of
I really enjoyed Programming and Making the Robot and The Game which it plays, they were hard tasks, but in the end they paid off.
What I learned
I learned how to program complex Arduino code and make everything right, to make a complete Goldberg Machine.
What's next for Robotic Rube Goldberg Machine
We will work on making it more automated and accomplish higher end tasks that will be very hard for a human to perform. This can be related to a full automated chain of events, or even a simple assembly line.
My Email Is
DDVHegde100@gmail.com
Built With
arduino
c
c++
java
mindstorms | Robotic Rube Goldberg Machine | It is a Rube Goldberg Machine that is fully automated and done by Programmed Robots and Circuit Boards | ['Dhruv Hegde', 'Jusnoor Dhillon'] | [] | ['arduino', 'c', 'c++', 'java', 'mindstorms'] | 27 |
10,508 | https://devpost.com/software/brain-controlled-cs-go | Built what is to my knowledge the most complex brain-controlled video game to be created.
You can play a first-person shooter just using brain signals. You can move around, aim and shoot.
Built With
openbci
python
steam | Brain Controlled CS:GO | Playing a First Person Shooter Game (like Call of Duty) only using signals from your brain | ['Mayank Jain', 'Samyak Jain'] | [] | ['openbci', 'python', 'steam'] | 28 |
10,508 | https://devpost.com/software/kids-konnected-covid-19 | Front Page of Kids Konnected
Facts and Information page with comments.
Game to help understand the virus
Our emails
kimberlyong@outlook.com
briannaong100@outlook.com
Inspiration
We wanted to create a platform that could allow kids to learn about the pandemic while having fun. Knowing that it is important that both kids and adults are educated, we decided to create a fun, interactive way to teach kids. We wanted to teach kids how they can keep themselves safe. Also, we wanted a website that could connect kids together even during quarantine.
What it does
It teaches kids about COVID-19, how to stay safe, and about the social distancing rules. Our website also allows them to play a game while teaching them about the virus and how it can affect them. Along with a game, it includes a calculator and regulation finder that can help people find out what is safe, and what the rules are.The calculator can help people realize what is a safe area and what is recommended. The regulation finder provides ten cities' regulations.
How we built it
We used html and css to build the front end of our website. Then we used block code to create the game. Finally we used Java to create the calculator and the regulations finder.
Challenges we ran into
Some challenges that we ran into was embedding the videos and inserting the game link into our website. Also, we sometimes had formatting issues that required us to learn new CSS/HTML code to solve.
Accomplishments that we're proud of
This is our first time using html,css, and java together. Also, this is both of our first hackathon and project. We managed to create a multipage website.
What we learned
Sometimes you may run into errors, but keep trying and you will find the problem and learn from your mistakes next time. Don't procrastinate and work well with your team.
What's next for Kids Konnected COVID 19
We hope to add more resources, games, interactive elements such as more cities in our regulations finder. Additionally, we also hope to expand our website to include more educational tools for kids to learn about COVID. Finally, we plan to create a way for kids to discuss important topics about COVID that they might have questions about and get answers in a safe and kid-friendly format.
Built With
css
html5
java
Try it out
codecampkidz.com | Kids Konnected COVID 19 | We wanted to create a website to help kids understand COVID-19. We wanted to teach kids about how the virus can affect us and how we can be safe. | ['Kimberly Ong', 'Brianna Ong'] | [] | ['css', 'html5', 'java'] | 29 |
10,508 | https://devpost.com/software/recruiterconnect | Inspiration
It's always a struggle finding specific recruiters for specific companies for specific internships, especially being a student. So we thought, we could use a google sheet spreadsheet including 2100+ recruiters to help students and others reach out to these recruiters based on what company they want to work at.
What it does
Our project connects students and recruiters from top tech companies to learn more about and even get internships FAST!
Challenges we ran into
We have never worked with APIs or converted a CSV file to something that's usable to work with in Java. However, we worked together and figured it out!
Accomplishments that we're proud of
Being able to implement APIs and understand how to use a CSV file in Java.
What's next for RecruiterConnect
We plan to make this more tailored to the user, for example sending out a message to recruiters for the user.
Please feel free to engage with it and use it for your future internships/work. Good luck!
NOTE
:
Built With
api
csv
java
Try it out
repl.it | RecruiterConnect | Connecting students and top tech recruiters to get internships FAST! | ['Swathi Thippireddy', 'Antara Gandhi'] | [] | ['api', 'csv', 'java'] | 30 |
10,508 | https://devpost.com/software/ultrasonic-detector-robot | Inspiration: My lego robotics years
What it does: It senses a stop sign and lanes using sensors and displays the position of an object on a frid
How I built it: Using the lego EV3 kit, and the lego MINDSTORMS software
Challenges I ran into: Tuning the sensor and creating the logic to detect the object
Accomplishments that I'm proud of: making a little mini self-driving car
What I learned: a lot about autonomous vehicles
What's next for Ultrasonic detector robot: Making a tank-drive chassis and making it able to detect more objects
my email is
mrsnek56@gmail.com
Built With
lego
mindstorms | Ultrasonic detector robot | An autonomous robot that senses an object using an Ultrasonic sensor | ['Mr Snek', 'MrBeast Tech'] | [] | ['lego', 'mindstorms'] | 31 |
10,508 | https://devpost.com/software/quarantine-things | Quarantine Things Homepage
Quarantine Things Healthy Meal Recipes
Quarantine Things Founders' About Page
Quarantine Things Healthy Lifestyle Quiz
Quarantine Things Resource Page
Inspiration
When considering ideas for the NHacks V hackathon, our group agreed on the fact that we wanted to help people who may be maintaining less healthy lifestyles as a result of the global pandemic. Quarantine Things is a result of that goal to help others.
What it does
Quarantine Things provides access to recipes, health tips and resources, and a quiz to determine how you can improve your health lifestyle.
How we built it
We used Repl.it and Glitch to collaborate and build the website. We started the site on Glitch, but moved to Repl.it for easier collaboration. The languages we used include Javascript, HTML, and CSS.
Challenges we ran into
We had trouble getting the text generator for our quotes to work as well getting the quiz to function the way we wanted it to. However, after working together to find different solutions to the problem, we found a solution that allowed the generator to work the way we originally intended it.
Accomplishments that we're proud of
Our group is proud of our health lifestyle quiz and our inspirational quote generator. Both required Javascript to work, and we successfully implemented them.
What we learned
We learned how to make quizzes and how to make a text generator with Javascript. This knowledge will help us in the future to make our websites more interactive.
What's next for Quarantine Things
We hope to add more pages and interactive features in the future. These features include forms to sign up for health and lifestyle tips, as well as more tools on our resources page.
Abby Thomas' email is:
thomasabigail2020@gmail.com
Built With
css
html
javascript
repl.it | Quarantine Things | Quarantine Things is your guide to staying healthy, fit, and positive at home! | ['Kathryn Ng', 'Abby Thomas', 'Salwa Din', 'Yusra Havaldar'] | [] | ['css', 'html', 'javascript', 'repl.it'] | 32 |
10,508 | https://devpost.com/software/cronica-3xeu2w | Home Page
Home Page Continued
Dictator Example Page
Dictator Example Page Continued
Dictator Example Page Continued
Dictator Example Page Continued
Dictator Example Page Continued
Dictator Resources
IB Resources
Textbook Links
Our Team
Our Team
Inspiration
We were inspired by the struggle that many high school students face when trying to research. We found a multitude of sources, some that often contradict each other, so we wanted to come up with a website that caters to a specific topic while giving a wide range of information.
What it does
Our website is focused on single-party rulers, or dictators. We give information and use some of history’s more famous dictators as examples of this form of government. We include student papers and study materials so the user can have various resources to choose from. The website also has a chat box that gives the user a study break by giving interesting facts about the dictators featured on the website. In each dictator’s page, we created a quiz to test the user’s knowledge on the subject and to help the user determine if they need to study more.
How we built it
We built our website using HTML, CSS, JavaScript, and Python. We used HTML for the basic website layout and then added details using CSS. JavaScript was used for the functions in the website and Python was used to create the chat box. We acquired student papers from classmates to add to our website. We used the image maker by @poi.ka for the pictures in the About the Creators page.
Challenges we ran into
Compiling all the information and sorting through everything took a long time and was difficult. Also making everything intuitive and user-friendly took a while to do. It was also difficult to decide how we would organize and make quizzes about each of the dictators. This problem went from the functions to the look of the quiz.
Accomplishments that we’re proud of
We went through a lot of student papers and resources really quickly to create the dictator profiles and kept working at it even though the job was monotonous. Also, we worked for many hours straight and we’re proud of the fact that we kept going even though we were tired.
What we learned
We learned the lesson of time management because we needed to figure out how to efficiently get through a large amount of student papers to amass information. We also learned new elements of JavaScript when we created quizzes about each of the dictators. The most important thing
What's next for Crónica
In the future, we would like to broaden our topic range so that we include other forms of government, in addition to authoritarian regimes. We would also like to include more student papers so the user has a variety of them to choose from. We also hope to include more student papers for the dictators as well as to include more study material for different IB topics. Finally, we would like to create specific and downloadable study guides to help students set a schedule and prepare for the IB exams.
Built With
css
html
javascript
jquery
python
Try it out
repl.it
cronica.karnatis.repl.co
github.com | Crónica | A website to inform and help students study by providing in depth info and studying materials. | ['Sonal Aggarwal', 'Aparna Krishnan', 'Shreya Karnati', 'Moksha Karuturi'] | [] | ['css', 'html', 'javascript', 'jquery', 'python'] | 33 |
10,508 | https://devpost.com/software/a-pathfinding-wv6ykf | Inspiration
Google Maps directions
What it does
Finds the shortest path between two points using a pathfinding algorithm. The user can select two point on a
How I built it
With python using pygames.
Challenges WE ran into
Learning how A* works.
Accomplishments that I'm proud of
Using pygames to implement the A* algorithm.
What's next for A* Pathfinding
We can use A* in a much bigger game with a larger scope.
Built With
python | A* Pathfinding | Finds the shortest path between two points using a pathfinding algorithm. | ['Jayesh Mate', 'Dhairya Shah', 'conacal rubdur'] | [] | ['python'] | 34 |
10,508 | https://devpost.com/software/lost-in-space-jbr7mt | Game Homepage
Level 1- Introducing the Situation
Level 2 - Calming the Character + Storyline
Level 3 - Space Gecko
Level 4 - Alien?
Level 5 - Alien Attack?
Level 6 - Google Search
Level 7 - Hallucination
Level 8 - Return Home
antoinettemarie17@gmail.com
/ other email:
at417q@bhsec.bard.edu
marisella.suarezz@gmail.com
loretgarcia27@gmail.com
Inspiration
Our team took inspiration from simulator games, in which users make decisions for characters. Games such as dating simulators incorporate an element of interaction between players and characters in the story, as well as different routes for a user to take depending on their choices. The space-theme of the game was completely random, however, for we were brainstorming topics that complemented the idea of a simulation game.
How I built it
Our team used Repl.it and focused on HTML and CSS to develop our website. To stick to the space-theme of the game, we used background properties to attach a starry gif in the background of all levels. For every level - including the homepage and "Game Over" page - we added a corresponding HTML file. Within each level, there is a div containing a hand-drawn gif, a header, a storyline paragraph in which the astronaut is communicating with the user, and two buttons that hold conflicting decisions. One button (the wrong decision) leads to the "Game Over" HTML file, while the contradicting button leads to the succeeding level (ex. the correct decision chosen in levela.html would lead to levelb.html). For the header, we incorporated a code using keyframes to create a typewriting effect. Further, for one of the handmade gifs, we manipulated the code to create a blinking effect for the border. Lastly, we embedded code from a free cursor website to change the cursor to a spaceship.
Challenges I ran into
This was our team's first hackathon, so there were a few challenges that slowed us down.
First, it was difficult to add a star/galaxy-inspired background because we thought we should add individual elements (such as stars, lights, etc). We found a code online that allowed for a cool galaxy background, but we had trouble arranging the order of our containers so that the divs and text would show up in front of the background. In the end, we opted to add a gif instead of individual stars and lights.
Further, we found it challenging to position buttons in the center, for they were contained in a div.
We also initially had trouble getting our gifs to work. To create our gifs, we used pixilart.com and drew two frames to create an animating effect. However, every time we transported our gif, the background was white rather than transparent on the website. We then had to use EZGif.com to add a transparent background and, from there, we downloaded our gifs onto the Repl.it.
Accomplishments that I'm proud of
We are proud of how true our website is to the theme of outer space. Every element in our game relates to the idea of space, whether it be a spaceship cursor or the galaxy background. Also, we are proud of our original drawings and how they add a personalized element to the game.
We are also proud of our storyline, for we incorporated a sense of mystery and anticipation within the conversations between Devin Post and the user. The users would think that the alien is a true villain like in mundane video games, but rather it is a figment of Devin's imagination. Also, the storyline, itself, relates to our current situation of attending a hackathon. In the game, the main character is in a rush to her journey home because she is attending the NHacks Hackathon.
We are also proud of how many levels we were able to add to our game, considering our time limit and the amount of experience we had going into the hackathon.
What I learned
Our members learned how to add images from our personal computers into the code, as opposed to relying on images from Google and the internet in general.
We also learned how to create an intriguing storyline that centered around a single goal. It was difficult at first to connect every element of the story back to our original idea, however, we were able to make the story flow in the end.
We also learned that, in hackathons, creativity is a must. We had to be creative with both our storyline and our images, so our users would not get bored while playing the game.
What's next for Lost in Space
As for future additions, we aim to add a score counter in which a user accumulates points for every correct decision they make.
Also, we aim to extend the storyline and add more obstacles for the character amid her return home. As for now, we only have about 8 levels because of the time limit. With additional time, we could add more levels and more decisions for the user to make.
We also hope to create our space-inspired background rather than linking the background to a gif from the internet. A personalized background would greatly complement the hand-drawn gifs we created.
Built With
css
ezgif
google-font
html
pixilart
replit
stack-overflow
w3-solutions
Try it out
nhacks-hackathon.antoinztte.repl.co | Lost in Space | A space-themed interactive game allowing users to help a protagonist arrive home safely by making smart decisions. | ['Marisella Suarez', 'Loret Garcia', 'Antoinette Torres'] | [] | ['css', 'ezgif', 'google-font', 'html', 'pixilart', 'replit', 'stack-overflow', 'w3-solutions'] | 35 |
10,508 | https://devpost.com/software/ecohome | Inspiration
It is a known fact that the environment is rapidly deteriorating. As we progress through each day, we release an astronomical amount of fossil fuels into the atmosphere. We need to focus on reducing consumption in order to alleviate this problem. We designed EcoHome to provide people with more environmentally friendly options at their homes.
What it does
A user will take a survey regarding their home appliances/home conditions. The website will then provide a personalized plan for individuals to lead them on the path to the most environmentally friendly home. The website will also provide how many suggestions other users have finished to inspire the respective user. There will be a leaderboard that will show who has the most environmentally friendly home.
How we built it
To build EcoHome, we used angular and the Google Maps API. We also used firebase and tailwind CSS.
Challenges we ran into
Implementing the navigation api was a struggle, but once we got over that hurdle we were set.
Accomplishments that we are proud of
We are proud that this app can be deployed in the real world with practical use. This app can genuinely show many people more environmentally friendly products that they don’t about. It will help alleviate the amount of fossil fuels being released into the environment while also helping the user save money.
What we learned
We learnt about how the environment is deteriorating more rapidly than what many people think. We also learned that teamwork is fundamental when trying to put together a product within a short span of time.
What's next for EcoHome
We plan on expanding EcoHome by partnering with appliance retailers such as Home Depot. They can use our platform as a way to market their environmentally friendly appliances that they sell. We also plan on building a large user base through social media to expand the number of people who help us reach our environmental goals.
Built With
angular.js
firebase
google-maps
tailwindcss
Try it out
ecohome-7e34c.firebaseapp.com
github.com | EcoHome | A simple solution to make your home more environmentally and economically friendly | ['Karthik Karuppiah', 'Zach Vazhekatt', 'Arya Agiwal', 'Vrishank Viswanath'] | [] | ['angular.js', 'firebase', 'google-maps', 'tailwindcss'] | 36 |
10,508 | https://devpost.com/software/shopping-spree | Homepage Img 2
Homepage Img 1
Game Img 1
Checkout Img
Game Img 2
Email:
aditya.kiru@gmail.com
Inspiration
Because of the coronavirus pandemic, it forced us with a challenge: How do we make those who can't physically go shopping in person, but still have the same feel and experience they'd normally have? That's how Shopping Spree came into existence.
What it does
Shopping Spree is an .io game designed to assist people with virtual shopping, because sometimes, it proves challenging! Shopping Spree is a virtual recreation of a shop that you'd normally go to. We not only have grocery products, but a wide range of items, from medical supplies to home decor.
How we built it
We coded this game and website using HTML, CSS, and JavaScript on a Node.JS server. Users can view our website and learn about the game, and they will also be able to go to the shopping page, where they can play the game themselves. The site is hosted on a Node.js server, which is used to communicate with the client when they place an order, or when they fill out the contact form. The server also transmits information about each item in stock, including the item’s name, quantity, and price, using Express.js and socket.io.
Challenges we ran into
When creating the game, we realized that the game was consistently resetting the amount of money in the shopping cart as soon as it went over 1,000 dollars. Soon, we realized that it was a simple error, and we fixed the issue so that the consumer can purchase as many products as they'd like.
Accomplishments that we're proud of
In 30 hours, we were able to make this website. It not only includes a game, but a website to go along with it. This took quite a lot of time to make, but at the end, it turned out way better than we expected, and we were extremely happy that we were able to complete such a difficult task in a mere 30 hours. Since this was our first hackathon, we worked well under the time frame, and our final product was amazing!
What we learned
First of all, we learned that anything and everything is with consistent determination, and confidence to pursue whatever you want in life. When managing your time wisely, you have endless possibilities to do whatever and wherever your imagination takes you.
What's next for Shopping Spree
In the future, we hope this website will become a real-life web application that consumers can connect their shopping accounts and billing information to, and will use to shop for everyday products, including groceries, electronics, and more.
Contact email:
aditya.kiru@gmail.com
Built With
css3
express.js
html5
javascript
node.js
socket.io
Try it out
bit.ly | Shopping Spree | Shopping reinvented | ['Sanjay Ravishankar'] | [] | ['css3', 'express.js', 'html5', 'javascript', 'node.js', 'socket.io'] | 37 |
10,508 | https://devpost.com/software/fixercise | Landing Page
Achievements Page
Deck Creation Page
An Example Deck Configuration
An Example workout card
A successfully finished workout deck
Website Flowchart that I used as a reference
Inspiration
I was inspired to create fixercise because I've gotten out of shape recently and wanted a workout experience that is more bite sized and go-at-your-own-pace. I also thought about how competing with worldwide users for a space on a leaderboard would definitely be a good motivator for me and many others. I also just really liked the idea of making an 80s themed website/video
What it does
Fixercise is a social media platform that allows users to compete in workouts with others. User's can create a new deck of cards based off of what muscle group they're targeting, along with what difficulty they want their experience to be at. When a new deck is created, users are presented with each card and upon completion of them, are rewarded points that can help them level up and earn achievements. User's can view their spot in the leaderboard and what level they're at in the respective pages.
How I built it
For the entire core of Fixercise I used asp.net core. Users accounts were controlled and managed with Identity core and the entity framework. I extended the initial class to make user binding strings a part of user accounts. The binding string is used to connect a user to a separate database that keeps their current scores. The most algorithmic-ally daunting task was web scraping in an efficient algorithmic manner. My algorithm ended up utilizing string to string dictionaries holding every aspect of the card. SignalR websockets were used to create an environment where get or post requests aren't needed to retrieve the next card in a deck.
Challenges I ran into
Working with asp.net identity core was very daunting, as this is only my 2nd time properly using it. Extending users worked better than the first time, but eventually I was stuck at an authentication error. Several headaches and google searches later, I found out that I forgot to add a single
Services.UseAuthentication()
in my startup class. Another challenge was the webscraping tuning, to me personally it's a really tedious task to manipulate nodes and find out which nodes will actually give me the result I needed.
Accomplishments that I'm proud of
I am proud of how far I've gotten in my understanding of asp.net's architecture and how to use identity users more properly. In the past, although there have been improvements, my understanding of how I should use classes and routing properly have been minimal in the past. This time however, my focal shift from solely algorithm to a more UI based standpoint really made my application's front and back end work more hand in hand.
What I learned
I learnt a ton of helpful tips about UI work, such as centering a button and how margins and div hierarchy work, I also am extremely grateful for how much I learnt about patience and debugging, as the two huge time wasting bugs were simply typos or forgetting a line of code.
What's next for Fixercise
In the future, Fixercise will definitely need some UI reworks, but for the most part I'd work on migrating databases to a cloud based service, along with deployment to Azure for real life usage.
Built With
asp.net
aspnetcore
bootstrap
c#
css3
html5
razor
Try it out
github.com | Fixercise | A card based workout curation system that rewards users in a competitive 80s themed platform | ['Braden Everson'] | ['Division Delta: Best Overall Junior Project'] | ['asp.net', 'aspnetcore', 'bootstrap', 'c#', 'css3', 'html5', 'razor'] | 38 |
10,508 | https://devpost.com/software/cure-19 | Emails:
Sonnet Xu:
sonnetxu@gmail.com
Hasib H.:
hasibhaque0307@gmail.com
Inspiration
I have a huge interest in gaming. I’ve played a lot of games since I got my first pc. I’ve always found games to be a way for people of all ages to escape boredom. As someone who rarely gets bored, I’ve always been doing something. But when I started going through my old stuff, I felt a bit of nostalgia. Old happy memories kept coming back into my head like moths gathering towards the glowing lamp. It was then I decided to play my old games. I kept digging through my old stuff for CDs, which is where I had my games stored. Playing them made me realise that there’s more to games than graphics. Games give me joy and a good time. It was then I decided to recreate some of these classic games, even though I never played them, it was the fact I never played them that made me want to make this game. And with the help of my fellow teammate Sonnet, we managed to make a pretty cool game and a cool website.
What it does
The game depicts a time when COVID-19 has caused so much damage that humans have to flee Earth and look for a suitable planet to live on until we have found the vaccination to COVID-19.
How I built it
We've used the Visual Studio Code as the editor. We've used HTML, CSS and HTML to make the website as well as the game.
Challenges I ran into
The game had a lot of bugs at first with the ship not moving as we intended, the asteroids not moving at all, lasers not working, audio not working, explosions glitching out etc.
The website had issues with the navigation menu and the fonts.
Accomplishments that I'm proud of
Participating in this hackathon!
Finishing something that I thought I could never be able to do in 30 hours or less
What I learned
When you work as a team, you can accomplish any big task.
It's teamwork and dedication that gets the job done.
You need to be prepared for sacrifices and need to be good at making decisions.
What's next for Cure-19
A 3D version of the game made with Unity. (Yes, that's right, a whole new game from scratch.)
Probably an AR version of the game.
Built With
css
html
javascript
Try it out
github.com | Cure-19 | Entertainment and Information given to you for free for COVID-19. | ['Hasib H.', 'Sonnet Xu'] | [] | ['css', 'html', 'javascript'] | 39 |
10,508 | https://devpost.com/software/fashionai | Inspiration
For a majority of students that enter high school, college, and beyond, choosing an effective wardrobe that is readily available and accessible is an enormous challenge.
What it does
The neural network reads through a dataset, fashion mnist, in order to train and categorize clothing items into one of ten categories. We have also included a user interface to input user preferences and produce images of what a wardrobe would consist of for this user.
How I built it
We used tensorflow and keras to create a neural network model and used openCV to produce a series of images for a user based off of the type of style they prefer to wear on a day to day basis.
Challenges I ran into
Keras modeling initially produced a repetitive accuracy, around 10 percent. Many more trials yielded a maximum accuracy of 10 percent with a relu activation for our hidden layers. Additionally, in reshaping our numpy arrays, input dimensions were not compatible.
What I learned
We learned more about the various functions of tensorflow and keras in terms of configuring each neuron layer to produce the highest accuracy. We learned about the uses and functions of openCV to a much higher extent.
What's next for FashionAI
We plan to use our neural network to surf popular clothing brands and expand the classification database to include all possible clothes for purchase. From there, we would be able to touch up the GUI to produce multiple options and a smoother user interface for a wider range of styles and categories.
Built With
keras
matplotlib
numpy
python | FashionAI | Our Neural Network work, trained on a training set of 60,000 elements and tested on a set of 10,000 elements produces approximately a 90% prediction accuracy. | ['Ashwin Balaji'] | [] | ['keras', 'matplotlib', 'numpy', 'python'] | 40 |
10,508 | https://devpost.com/software/hamlet-tennis-court-scheduler | Inspiration
We play tennis a lot at our local courts and we have noticed that there is a lot of conflict between people wanting to use our two courts so we decided to try and make a court scheduler to help solve this conflict in our community.
What it does
This court scheduler can let people log in and log out of their account, show the rules of the tennis courts, check the calendar, and chat with others.
How we built it
We planned it out and coded it using the help of a few courses.
Challenges we ran into
Distractions, errors, and frustration, had a lot of conflict on where we should stay for the 30 hours and ended up coding in a garage
Accomplishments that we're proud of
The chat application being finished and getting the sqlalchemy database up and running
What we learned
The importance of time, and how to code better css and javascript
What's next for Hamlet Tennis Court Scheduler
improve the format of our website, and get a better calendar
Built With
css
flask
html5
javascript
python
sqlalchemy
Try it out
github.com | Hamlet Tennis Court Scheduler | This is a tennis court scheduler, where you can communicate with other users and discuss time to use the courts | ['Pranav Merugu', 'BB BALLER', 'Pawan zzstu Ramayanam', 'Suraj Makunur', 'Pranav zzstu Merugu'] | [] | ['css', 'flask', 'html5', 'javascript', 'python', 'sqlalchemy'] | 41 |
10,508 | https://devpost.com/software/cute-cube-runner | start screen
Inspiration
I wanted to create a game in a "doodle" art style and watch what I drew to come to life.
How to Play
When on the start screen, press 'p' to begin the game and when on the restart screen, press 'r' to restart. When on the game over screen, refresh the webpage to try again.
Challenges I ran into
I had bugs in programming the collision detection, but I solved it through trial and error.
Accomplishments that I'm proud of
I'm proud of illustrating all the parts of the game, which were done with the Krita digital painting and graphics program.
What I learned
I gained a better understanding of using classes and parameters/arguments.
Email:
lh.halisa@gmail.com
Built With
javascript
krita
p5.js
Try it out
cute-cube-run.glitch.me | cute cube runner | a simple and cute hand-illustrated runner game featuring flat geometric shapes | ['Lisa Ha'] | [] | ['javascript', 'krita', 'p5.js'] | 42 |
10,508 | https://devpost.com/software/yielding-new | jinnatr@bxscience.edu
Inspiration
My main inspiration was from common tropes I'd find in stories written and published in Wattpad. I wanted to take a sort of satirical take on these tropes.
What it does
The user gets to play a choose your adventure game as "Y/N" as they pick choices to navigate having to be a student at a new school.
How I built it
I used Rep.lit as my IDE. The languages I used for the game were HTML, CSS, and JavaScript.
Challenges I ran into
Making sure the buttons were able to move to the right pages
Exploring user input for the first time.
Accomplishments that I'm proud of
implementing user input into the text
having parts of the story appear and disappear based on what would be clicked
picking out a color scheme I liked.
What I learned
how to construct objects in JS
how to use CSS in order to make elements appear and disappear
What's next for Yielding/New
Making Y/N gender neutral
Adding more endings
Adding more storylines for Y/N
Built With
bootstrap
css
html
javascript
jquery | Yielding/New | A Choose Your Adventure Game based on common Wattpad tropes | ['Raitah Jinnat'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'jquery'] | 43 |
10,508 | https://devpost.com/software/covid-19-risk-calculator | Front Page Form
Results
COVID-19-Risk-Calculator
Submission for NHacks 2020
Inspiration
Coronavirus causes a lot of panic and damage. But is the panic really necessary for you?
How I built it
Using multiple APIs I am able to get COVID-19 data in your City/County. I also get population data and more. Then using a risk Model I built I am able to take this data and come out with a single risk value, and some metrics. You will be able to see your risk level and what you should do to stay safe. There is also a normal distribution graph where you are able to see where your risk level stands compared with other people. You will also be able to see data about your County like daily infection rate (%) and statistics about your State, Country, and World Global.
What it does
With the COVID-19 Risk Calculator, you are able to find out how risky COVID-19 if for you. With just a few questions (County, City, Age, Illnesses) this Calculator will tell you your risks and what you should do to stay safe.
Challenges I ran into
The biggest challenge was having to research and find relevant information about the Coronavirus.
The takeaway
In the process of building, I had to integrate multiple libraries and APIs of which I had no experience. Overall it was a good learning experience because we had such a small time frame it was interesting to plan out a project in a small period of time.
Contact me at
denniszax32@gmail.com
Built With
api.covid19api
api.covidtracking
canvas.js
css
geodb-free-service-api
html
javascript
papaparse
Try it out
github.com | COVID-19-Risk-Calculator | How risky is the Coronavirus for you? | ['Dennis Z'] | [] | ['api.covid19api', 'api.covidtracking', 'canvas.js', 'css', 'geodb-free-service-api', 'html', 'javascript', 'papaparse'] | 44 |
10,508 | https://devpost.com/software/abcd-a-breast-cancer-detector | ABCD - A Breast Cancer Detector
Click on the image to view the website
About 1 in 8 U.S. women (about 12%) will develop invasive breast cancer over the course of her lifetime. To ensure that everyone receives their deserved treatment, early detection is vital. Using machine learning, we have developed a program that detects whether a tumor is malignant or benign (given a certain set of characteristics). Both doctors and patients can use this application to improve their chances of detecting breast cancer.
Note: to view the dataset that we used, click
here
.
Note: We used the Materialize.css file to style our pages. To obtain the css file, click
here
.
Setup
Your machine will need numpy, scikit-learn, pandas, flask, pymongo, pymongo[srv], dns, json, and bson to run this code. To get any of these libraries, you can just
pip install [insert library here]
in a terminal window. To run the code, first pull the github to your computer and then navigate to the folder where app.py is. Then open terminal and run the command
flask run
. This will direct you to a localhost website where you can interact with the product.
Detailed Instructions:
Open command prompt
Install numpy, scikit-learn, pandas, flask, pymongo, pymongo[srv], dns, json, and bson using
pip install [insert library here]
Then download the github repo to your computer
Locate the repo in your file explorer
-- Open command prompt from that folder's search bar by typing cmd into it
Then enter
flask run
in the command prompt
Copy the localhost link that is outputted and paste it into a web browser (example below)
You should be able to use the application now
To use the detection feature:
Navigate to the "Detect" tab using the navigation bar on the website. Then insert values in the range (1-10) into each of the input fields. Click submit and you should see the prediction for the data you inputted. This prediction, as well as the data you input, are saved to the MongoDB database.
To use the lookup feature:
Navigate to the "Lookup" tab using the navigation bar on the website. A doctor who had access to the database would be able to freely put in any of his patient's IDs. For demonstation purposes, use one of the following IDs: 5f2f13e8218e81e41faf62d2, 5f2f1e3d218e81e41faf62d4, 5f2f3a64755cd3292de46ebd. Click submit and you should see that the data for the patient as well as their prediction and confidence level are visible.
How it works
Using machine learning, we have developed a program that detects whether a tumor is malignant or benign (given their symptoms or characteristics). To train our model, we used publicly available datasets for breast cancer patients. Using the machine learning algorithm, we implemented a web application where users can input 9 specific characteristics regarding the tumor. The algorithm then returns a breast cancer prediction and confidence value given the corresponding characteristics.
We also utilized a MongoDB database for doctors to look up and store their patients' information securely allowing them to make informed decisions about their healthcare. Because new user inputs and results are continuously added to this database, the pool of resources and references provided for both doctors and patients alike will grow as more individuals use this application.
The Site
Homepage:
Detection:
Results:
Patient Lookup:
Lookup Results:
Future Improvements
First, we would like to increase the size of our dataset. Bringing access to a greater number of hospitals would give us increased amounts of data will give us more accurate results and would let us be much more confident in the diagnosis. Next, we would also want to increase the number of features in the dataset, giving us more variables to look at and input into the system. This would help take into account many of the other factors involved in the chances of breast cancer in people.
What We Used
Python
Flask
Numpy
Pandas
Scikit-Learn
MongoDB / Pymongo
HTML/CSS
DNS
Heroku
Youtube Video
https://www.youtube.com/watch?v=m9t6jYTXXc8
Resources
CSS:
https://materializecss.com/
Dataset:
https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Original%29
Citation Request:
This breast cancer databases was obtained from the University of Wisconsin
Hospitals, Madison from Dr. William H. Wolberg. If you publish results
when using this database, then please include this information in your
acknowledgements. Also, please cite one or more of:
O. L. Mangasarian and W. H. Wolberg: "Cancer diagnosis via linear
programming", SIAM News, Volume 23, Number 5, September 1990, pp 1 & 18.
William H. Wolberg and O.L. Mangasarian: "Multisurface method of
pattern separation for medical diagnosis applied to breast cytology",
Proceedings of the National Academy of Sciences, U.S.A., Volume 87,
December 1990, pp 9193-9196.
O. L. Mangasarian, R. Setiono, and W.H. Wolberg: "Pattern recognition
via linear programming: Theory and application to medical diagnosis",
in: "Large-scale numerical optimization", Thomas F. Coleman and Yuying
Li, editors, SIAM Publications, Philadelphia 1990, pp 22-30.
K. P. Bennett & O. L. Mangasarian: "Robust linear programming
discrimination of two linearly inseparable sets", Optimization Methods
and Software 1, 1992, 23-34 (Gordon & Breach Science Publishers).
Title: Wisconsin Breast Cancer Database (January 8, 1991)
Sources:
-- Dr. WIlliam H. Wolberg (physician)
University of Wisconsin Hospitals
Madison, Wisconsin
USA
-- Donor: Olvi Mangasarian (
mangasarian@cs.wisc.edu
)
Received by David W. Aha (
aha@cs.jhu.edu
)
-- Date: 15 July 1992
Past Usage:
Attributes 2 through 10 have been used to represent instances.
Each instance has one of 2 possible classes: benign or malignant.
Wolberg,~W.~H., & Mangasarian,~O.~L. (1990). Multisurface method of
pattern separation for medical diagnosis applied to breast cytology. In
{\it Proceedings of the National Academy of Sciences}, {\it 87},
9193--9196.
-- Size of data set: only 369 instances (at that point in time)
-- Collected classification results: 1 trial only
-- Two pairs of parallel hyperplanes were found to be consistent with
50% of the data
-- Accuracy on remaining 50% of dataset: 93.5%
-- Three pairs of parallel hyperplanes were found to be consistent with
67% of data
-- Accuracy on remaining 33% of dataset: 95.9%
Zhang,~J. (1992). Selecting typical instances in instance-based
learning. In {\it Proceedings of the Ninth International Machine
Learning Conference} (pp. 470--479). Aberdeen, Scotland: Morgan
Kaufmann.
-- Size of data set: only 369 instances (at that point in time)
-- Applied 4 instance-based learning algorithms
-- Collected classification results averaged over 10 trials
-- Best accuracy result:
-- 1-nearest neighbor: 93.7%
-- trained on 200 instances, tested on the other 169
-- Also of interest:
-- Using only typical instances: 92.2% (storing only 23.1 instances)
-- trained on 200 instances, tested on the other 169
Relevant Information:
Samples arrive periodically as Dr. Wolberg reports his clinical cases.
The database therefore reflects this chronological grouping of the data.
This grouping information appears immediately below, having been removed
from the data itself:
Group 1: 367 instances (January 1989)\
Group 2: 70 instances (October 1989)\
Group 3: 31 instances (February 1990)\
Group 4: 17 instances (April 1990)\
Group 5: 48 instances (August 1990)\
Group 6: 49 instances (Updated January 1991)\
Group 7: 31 instances (June 1991)\
Group 8: 86 instances (November 1991)\
Total: 699 points (as of the donated datbase on 15 July 1992)
Note that the results summarized above in Past Usage refer to a dataset
of size 369, while Group 1 has only 367 instances. This is because it
originally contained 369 instances; 2 were removed.
Number of Instances: 699 (as of 15 July 1992)
Number of Attributes: 10 plus the class attribute
Attribute Information: (class attribute has been moved to last column)
Attributes
Sample code number id number
Clump Thickness : 1 - 10
Uniformity of Cell Size : 1 - 10
Uniformity of Cell Shape : 1 - 10
Marginal Adhesion : 1 - 10
Single Epithelial Cell Size : 1 - 10
Bare Nuclei : 1 - 10
Bland Chromatin : 1 - 10
Normal Nucleoli : 1 - 10
Mitoses : 1 - 10
Class : (2 for benign, 4 for malignant)
Missing attribute values: 16
There are 16 instances in Groups 1 to 6 that contain a single missing
(i.e., unavailable) attribute value, now denoted by "?".
Class distribution:
Benign: 458 (65.5%)
Malignant: 241 (34.5%)
Contact
Email us at
aszeto35@gmail.com
if you have questions or concerns!
Built With
css
flask
html
numpy
pandas
python
scikit-learn
scipy
Try it out
abcd-xdhacks.herokuapp.com | ABCD - A Breast Cancer Detector | Breast cancer detection powered by machine learning | ['Pranav Daggubati', 'Aroop Biswal', 'Aiden Szeto', 'Nishant Balaji'] | [] | ['css', 'flask', 'html', 'numpy', 'pandas', 'python', 'scikit-learn', 'scipy'] | 45 |
10,508 | https://devpost.com/software/healthbot-pibd8r | HealthBot logo
HealthBot homepage
HealthBot Symptom Check page
HealthBot Medication Alarm page
HealthBot Emergency System page
Inspiration
Our team was inspired by the chaos that rose from the beginnings of the COVID-19 pandemic. We realized that even after the corona virus era ends and a vaccine is created, the medical world will still need a lot more attention and support.
In our own personal lives, we've related to having a busy week and focusing more on school, family, extra curriculars, etc. and often neglecting our own health. To fight this issue, we decided to create a project that could be used to better support people's health so they can focus on what matters to them most without risking their well-being.
What it does
HealthBot provides an easy to access menu bar underneath our logo so that users can toggle between each of our four pages and our three main features.
Our first feature, the Symptom Check page, is made up of a symptom search bar as well as a list of common medical ailments. To use the symptom checker search bar, users simply input a symptom that they are experiencing like "fever", "rash", or "headache." Next, the program will bring up a page from the Healthline organization with data about how serious your affliction might be, how it should be treated, and any other information you might need to know. The list at the bottom of the page can be used to compare the user's symptoms to common conditions including COVID-19.
Additionally, HealthBot has a Medication Alarm page which we hope to continue improving. The Medication Alarm page is designed so that a user can input a medication type and the time that they should take it. Then, the user has the option to set a daily notification from their phone. Currently, we are still working on the notifications function.
Finally, HealthBot includes an Emergency System page where users can input the phone numbers of preferred emergency contacts. It is important to note that all users are told to contact the EMS in an emergency. However, this page can be helpful for people who would also like to connect with family members or other trusted companions to get more assistance or notify loved ones of an accident.
How I built it
This project was created primarily in VSCode using HTML, CSS, and JS. Initially, one of our team members created the homepage in the repl.it IDE first but we later transferred the code files into VSCode and continued working on the project there.
For the website as a whole, front-end was written in HTML/CSS and back-end in JS.
Challenges I ran into
One of the main challenges we faced was synthesizing the front and back end together. Towards the beginning of the hackathon, the front-end and back-end programming were separate from each other so we did not fully understand how the end product would work and look when both sides were put together.
After all code was transferred to Visual Studio Code, we quickly learned about the importance of making classes so that css properties were applied to the correct html elements. We had to change and add new classes to the external CSS file to make sure properties were working accordingly. Furthermore, we also learned that communicating consistently throughout a hackathon is equally important.
A second challenge we faced was adding daily notifications with the Medication Alarm feature. The API we had planned to use turned out to be extremely difficult to use and had roughly 2000 errors. This was very disappointing, but we have made plans to create a new daily notification system in the future.
Accomplishments that I'm proud of
Our team is most proud of bringing our HealthBot idea to life. We feel that our HealthBot product has a lot of potential to grow and become a real-life tool that could aid people throughout their lives. Already, we believe that HealthBot's features can be used to ensure people are balancing their health with hectic schedules because of its valuable features.
We are also proud of the overall appearance and UI/UX of the project. The white and blue colors along with the simple design really enforce the idea of a medical application and help it appear user-friendly.
What I learned
As a group, we gained more knowledge about new IDEs and languages we were already familiar with. Working with two different IDEs gave team members new exposure to different platforms and we learned how to collaborate better as well.
Similarly, we improved in our command and knowledge of programming languages like HTML, CSS, and JS because we learned how to use in-line HTML and CSS within in JS file and how to connect files together in VSCode. We also learned about new properties and commands in order to make our website function.
What's next for HealthBot
In the future, we hope to expand HealthBot into an Android app as well as a website. Currently, HealthBot already has the potential to become an app with Cordova.
We are also planning to improve our daily notifications in the Medication Alarm with a new API or another alternative.
Email:
crasgaitis@gmail.com
Built With
apache
css
html
javascript
repl
vscode | HealthBot | A website that acts as your personal virtual health assistant. Features include a Symptom Checker, Medication Alarm, and an Emergency Contact System. | ['Catherine Rasgaitis', 'Daniel Noguera', 'Yash Singh'] | [] | ['apache', 'css', 'html', 'javascript', 'repl', 'vscode'] | 46 |
10,508 | https://devpost.com/software/guessing-game | Email:
arjunsehgal12@gmail.com
Inspiration:
I have always played video games but I have never had the chance to create one so I thought this would be the perfect opportunity to do that.
What it does:
It is a guessing game. The computer picks 8 words and from those 8 it picks one word to be the secret word. You have 3 tries to get the secret word. If you get it on the first try you get 100 points, If you get it on the second try you get 50, If you get it on the third try you get 25 points, and if you do not guess it you get 0 points. You can have as many players as you want. You can also play as many times as you want.
How I built it
I used python to make the game and visual studio code as my text editor. I just started writing the basics and added things from there. I got a huge list of words from the internet.
Challenges I ran into
I did not know how to add infinitely many players so that took a long time to figure out. Time was a big issue too. I had to stay up for a long time to finish this game.
Accomplishments that I'm proud of
The point system. It adds points to every person's scores accurately. That took a lot of time but it works really well and makes the program more advanced.
What I learned
I learned how to use more libraries in python like 'time' and 'random'. I also learned more about python and how complex it can get.
What's next for Guessing Game
I want to make a GUI for the game so it looks good. Right now it only works in the terminal of VS Code.
Built With
python
random
time
Try it out
repl.it | Guessing Game | The computer thinks of a word and you have to guess it. | ['Arjun Sehgal'] | [] | ['python', 'random', 'time'] | 47 |
10,508 | https://devpost.com/software/alternate-door-unlock | Inspiration
We originally wanted to create an IoT project that would have a practical purpose. we narrowed it down to a camera activated lock. The intention was for it to recognize a face and unlock accordingly.
What it does
The webcam is attached to the top of the door where it captures footage and is processed on a raspberry pi with TensorFlow lite and OpenCV running to determine what objects are in the frame. When a keyboard is detected it moves a servo which unlocks the door
How we built it
The code was based on a general example of object detection with TensorFlow lite. From there it was adapted to trigger a servo motor. Most of the components were taped or hot-glued down.
Challenges we ran into
It took about 8 hours to get TensorFlow working on a raspberry pi and another 4 or so hours to successfully control the servo motor. The final challenge was figuring out how to position and mount the servo so it would be able to unlock the door with very little torque.
Accomplishments that I'm proud of
Managing to get TensorFlow to work on a raspberry pi and having a satisfying product that works most of the time
What I learned
Python as well as servo control on a raspberry pi
What's next for Alternate door unlock
Reliability and better recognition so individual faces can be recognized
Built With
python
tensorflowlite | Alternate door unlock | We attempted to make it possible to unlock the front door by holding a keyboard up to a camera outside the door. | ['Ben Liu', 'Anwar Al Shamkhany'] | [] | ['python', 'tensorflowlite'] | 48 |
10,508 | https://devpost.com/software/decode-pb4kfw | . | wrong submission | . | ['Spencer He', 'Leon Yee'] | [] | [] | 49 |
10,508 | https://devpost.com/software/save-dem-animals | Our Contact Form
Our Homepage
Resources on how to save endangered species
Inspiration
When we started the hackathon, we were scrambling for ideas. One of our ideas was an application that uses echoAR to create a graph that displays the number of cases in your region. After experimenting with echoAR in android studio nonstop for more than a day, we decided to scrap this idea since it was too complicated. However we used some of the things we learned from this process and incorporated it into our website. As a last resort, we started brainstorming for new ideas, and we learned that there are many endangered species in the world. We knew we wanted to raise awareness for these species, so we decided to create a website that highlights regions with tons of endangered species, spreads awareness, encourages the user to help, and uses echoAR for AR visualization.
What it does
Our website has many parts. On the home page, we created a custom google map that highlights regions that contain many endangered species. It ranks them on a scale from most endangered(red) to least endangered(green). We also included a “What You Can Do” page, which has links to GoFundMe pages, petitions, and infographics so the people who view the website know what they can do to protect these endangered species.
How we built it
We used HTML, JavaScript, CSS, Bootstrap, and echoAR to create our website. We created our website using the repl.it IDE.
Challenges we ran into
When we started the hackathon, we tried using echoAR on android studio. We had to ask many questions on the echoAR slack, and ended up scrapping our idea after a day of nonstop troubleshooting and problem-solving. Halfway through the hackathon, we decided to create our website about endangered animals and ended up using an AR QR code from what we learned the previous day. Additionally making the 2D map into a 3D object for echoAR was challenging, and we ended up using Microsoft 3D builder. Time was also a big concern.
Accomplishments that we're proud of
We are proud of using echoAR on the website and creating a 3D model of the map. We are also proud of creating a custom google map, and creating our website as fast as possible( in like 4-5 hours!
What we learned
We learned that making an application on android studio using AR is very complicated, and we need to become more experienced with it. We also learned about the number of endangered species in the world, and how that number is troubling.
What's next for Save Dem Animals
In the future, we plan to refine the map and add more to the What You Can Do page. We hope this raises awareness for endangered animals.
Our team member Garv Jain's email address is:
garvjain2006@gmail.com
Built With
bootstrap
css3
echoar
html5
javascript
Try it out
SaveDemAnimals.garvjain.repl.co | Save Dem Animals | Our website uses HTML, CSS, JavaScript and Bootstrap to spread awareness about endangered animals all around the world. | ['Garv Jain', 'Anish Paspuleti', 'Kdr Prsd'] | ['Best Use of EchoAR'] | ['bootstrap', 'css3', 'echoar', 'html5', 'javascript'] | 50 |
10,508 | https://devpost.com/software/gohealth-1c5quy | Inspiration
A potential challenge during the pandemic outbreak like COVID19 is overwhelming hospitals. Due to the increase in the number of COVID patients, doctors are giving less attention to a non-COVID patient. Right now, hospitals don't have the capacity for the large number of incoming patients. There is a need for a technology platform which is capable of remote-monitoring and allowing for the engagement of patients in their homes. The capabilities also facilitate communication between quarantined people and the healthcare service and maintain visibility of those recently discharged. This problem is what inspired us to make this user-friendly interface.
What it does
The GoHealth platform offers an ideal way to monitor patients while they are in quarantine. The device hub measures 8 different vitals such as heart rate, temperature, blood pressure, pulse rate, A1C, skin conductance, glucose level, and nasal airflow. The information of the vital signs will be updated via web to the doctors.
How we built it
We used the Google Cloud Platform along with Firebase for this project.
Firebase
User Authentication
Realtime Database
Store Vital Data and User Information
Store Information if the user is a Doctor
Cloud Functions
Other GCP
Google Maps API
Google Vision
Bootstrap HTML/CSS/JS
Bootstrap Framework
Use of JQuery
Use of SmartForm for Contact
Frontend Framework
GitHub
File Management
Hosting
Node Js
Firebase Modules
Alan - A smart assistant that we have built for users to ask simple medical questions.
You can ask it I have a Cough
and it will respond
Challenges we ran into
There were many challenges we ran into, but that's what programming's all about. One of the difficult challenges we ran into was making sure the UI worked. Another challenge was figuring out how to to extract information from the JSON file to the website.
Accomplishments that we're proud of
We are proud of so many things. We made use of this project to the best of our abilities in this 24 Hours of time. We got to use the Google Cloud Platform, which is a first for all of us, we had never used GCP before and now we will continue to use this platform. Additionally, we combined all of our skills to create a website that use multiple frameworks and we are proud of this website. We love the UI/UX and we love the Backend, it was our first time as well using these frameworks. Finally, we are proud of the amount of work we pulled of in 24 hours. We would have never thought we could accmplish this much in such a small amount of time.
What we learned
Creating realtime databases
Firebase
User Authentication
What's next for GoHealth
Implement Google Assistant instead of Alan (Wider range of possibilites)
Create a Watch Application (Apple watch and Galaxy Watch) to have realtime data about Vitals
Implement more Google Cloud Features including Tensorflow AI for medical classification and image classificatin to find various conditions
Implement a TeleHealth API platform for virtual doctor visits
Implement Echo AR for human body modeling
Implement a COVID-19 screener questionnaire for the workplace and schools
Built With
alan
bootstrap
css
firebase
github
google-cloud
google-maps
html
javascript
Try it out
github.com
rhea883464.invisionapp.com
trackgohealth.online | GoHealth | Empower the medical services | ['Srikar Kusumanchi', 'Mohinish Teja', 'RHEA S', 'Ramya Challa'] | ['Winner Best Healthcare solution'] | ['alan', 'bootstrap', 'css', 'firebase', 'github', 'google-cloud', 'google-maps', 'html', 'javascript'] | 51 |
10,508 | https://devpost.com/software/dyrsoph | Inspiration
Education is a huge issue in the world, and this solution helps with immersive education via a digital online chatbot !
What it does
My solution is an easy to use web platform, where students can gain information and access lessons, ask questions and answers via a virtual chatbot, answer quizzes and even send in homework.
Built With
dialogflow
twilio | DirSoph | Education for All ! Digital Lessons, QnA, Quizzes and more ! | [] | [] | ['dialogflow', 'twilio'] | 52 |
10,508 | https://devpost.com/software/rock-paper-scissors-python-game-6l9rqt | Inspiration
Email:
manavhpanchal@gmail.com
. What inspired us was that we were beginners in programming. We wanted to do a project which was simple so we picked the simplest language, Python.
What it does
This project is a game called Rock Paper Scissors. There is a computer and a player. The player picks either Rock, Paper, or Scissors. The computer picks randomly from Rock, Paper, or Scissors. From the outcome the program prints if the player Won, Lost, or Tied.
How we built it
At first, we looked at tutorials that taught us the basics of how this game worked. With that in mind, we started to make our own certain code with python to have a similar interface with it. Afterward, we edited minor things of the code to have the code running without minor bugs or issues.
Challenges we ran into
The challenges we ran into were that when we first ran the code, it was in Pycharm, and it printed that it could not recognize the terms rock, paper, or scissors. We then ran the same code on a different application called Spyder. In that interface, the code worked successfully and we realized that Pycharm is actually also for Raspberry pi and Python itself.
Accomplishments that we're proud of
The accomplishments that we are proud of is that we created our first running game.
What we learned
In the process of making this game, we learned; how to define variables and create an else-if loop.
What's next for Rock Paper Scissors Python Game
In the future, we are thinking about making advancements in the game. One type of advancement that we are trying to create is more inputs and outputs. Such as Rock, Paper, Scissors, Fire, Water, Ice, etc.
Built With
anaconda
python
Try it out
github.com | Rock Paper Scissors Python Game | We are going to be using the coding language of Python to create the game of Rock Paper Scissors within the application Spyder. | ['Vivaan Kasala', 'Manav Panchal'] | [] | ['anaconda', 'python'] | 53 |
10,508 | https://devpost.com/software/kruise | Our company logo
Our full thought business model
Some Screenshots
Some Screenshots
parth.sethi.2015@gmail.com
Inspiration
I felt the need for maintaining extreme social distancing while traveling in flights where people were safe and had zero contact with any flight crew. Many carriers of COVID-19 can be from people traveling from abroad or within the country. Although checking is being done, however one can never be completely safe. Even if one person in a flight is infected with COVID-19, and he travels around in the airplane everyone including all the passengers and crew can get affected
What it does
We provide chat system where crew and passengers can have a safe and contact less communication and be as safe as possible. Moreover, it provides the facility for passengers to have communications with each other.
How I built it
I used a micro-framework called flask and socket IO to develop this service
Challenges I ran into
The problem of creating a live socket between passengers was a struggle for me
Accomplishments that I'm proud of
I learnt how to build a real time chat based application
What I learned
I learned how to code efficiently, manage my time and last how to build a chat app!
What's next for KRUISE
KRUISE in itself is a very big idea, it can be easily applied in real life where people need to be safe from COVID virus while flying, we can have a stock management application as well for the crew and passengers to estimate and view the amount of resources left. This can be integrated with many technologies such as automation to minimize the contact in flights to almost ZERO.
eligible for any prize you give ;)
Built With
css3
flask
html5
javascript
socket.io
Try it out
github.com | KRUISE | Flight, redesigned | ['Parth Sethi'] | [] | ['css3', 'flask', 'html5', 'javascript', 'socket.io'] | 54 |
10,508 | https://devpost.com/software/lorax-luring-others-to-retain-our-abode-extensively | Hello and thank you for judging my project. I am listing below two different links and an explanation of what the two different videos are. Due to the time constraints of some hackathons, I have a shorter video for those who require a lower time. As default I will be placing the lower time video up above, but if you have time or your hackathon allows so please go ahead and watch the full video at the link below. Thanks!
3 Minute Video Demo
5 Minute Demo & Presentation
For any questions or concerns, please email me at
joshiom28@gmail.com
Inspiration
Resource extraction has tripled since 1970. That leaves us on track to run out of non-renewable resources by 2060. To fight this extremely dangerous issue, I used my app development skills to help everyone support the environment.
As a human and a person residing in this environment, I felt that I needed to used my technological development skills in order to help us take care of the environment better, especially in industrial countries such as the United States. In order to do my part in the movement to help sustain the environment. I used the symbolism of the LORAX to name LORAX app; inspired to help the environment.
_ side note: when referencing firebase I mean firebase as a whole since two different databases were used; one to upload images and the other to upload data (ex. form data) in realtime. Firestore is the specific realtime database for user data versus firebase storage for image uploading _
Main Features of the App
To start out we are prompted with the
authentication panel
where we are able to either sign in with an existing email or sign up with a new account. Since we are new, we will go ahead and create a new account. After registering we are signed in and now are at the home page of the app. Here I will type in my name, email and password and log in. Now if we go back to firebase authentication, we see a new user pop up over here and a new user is added to firestore with their user associated data such as their
points, their user ID, Name and email.
Now lets go back to the main app. Here at the home page we can see the various things we can do. Lets start out with the Rewards tab where we can choose rewards depending on the amount of points we have.
If we press redeem rewards, it takes us to the rewards tab, where we can choose various coupons from companies and redeem them with the points we have. Since we start out with zero points, we can‘t redeem any rewards right now.
Let's go back to the home page.
The first three pages I will introduce are apart of the point incentive system for purchasing items that help the environment
If we press the view requests button, we are then navigated to a page where we are able to view our requests we have made in the past. These requests are used in order to redeem points from items you have purchased that help support the environment. Here we would we able to
view some details and the status of the requests
, but since we haven’t submitted any yet, we see there are none upon refreshing. Let’s come back to this page after submitting a request.
If we go back, we can now press the request rewards button. By pressing it, we are navigated to a form where we are able to
submit details regarding our purchase and an image of proof to ensure the user truly did indeed purchase the item
. After pressing submit,
this data and image is pushed to firebase’s realtime storage (for picture) and Firestore (other data)
which I will show in a moment.
Here if we go to firebase, we see a document with the details of our request we submitted and if we go to storage we are able to
view the image that we submitted
. And here we see the details. Here we can review the details, approve the status and assign points to the user based on their requests. Now let’s go back to the app itself.
Now let’s go to the view requests tab again now that we have submitted our request. If we go there, we see our request, the status of the request and other details such as how many points you received if the request was approved, the time, the date and other such details.
Now to the Footprint Calculator tab, where you are able to input some details and see the global footprint you have on the environment and its resources based on your house, food and overall lifestyle. Here I will type in some data and see the results.
Here its says I would take up 8 earths, if everyone used the same amount of resources as me.
The goal of this is to be able to reach only one earth since then Earth and its resources would be able to sustain for a much longer time. We can also share it with our friends to encourage them to do the same.
Now to the last tab, is the savings tab. Here we are able to find daily tasks we can simply do to no only save thousands and thousands of dollars but also heavily help sustain and help the environment. *
Here we have some things we can do to save in terms of transportation and by clicking on the saving, we are navigated to a website where we are able to view what we can do to achieve these savings and do it ourselves. *
This has been the demonstration of the LORAX app and thank you for listening.
How I built it
For the navigation, I used react native navigation in order to create the authentication navigator and the tab and stack navigators in each of the respective tabs.
For the incentive system
I used Google Firebase’s Firestore in order to view, add and upload details and images to the cloud for reviewal and data transfer. For authentication, I also used
Google Firebase’s Authentication
which allowed me to create custom user data such as their user, the points associated with it and the complaints associated with their
user ID
. Overall,
Firebase made it EXTREMELY easy
to create a high level application. For this entire application, I used Google Firebase for the backend.
For the UI
for the tabs such as Request Submitter, Request Viewer I used React-native-base library to create modern looking components which allowed me to create a modern looking application.
For the Prize Redemption section and Savings Sections
I created the UI from scratch trialing and erroring with different designs and shadow effects to make it look cool. The user react-native-deeplinking to navigate to the specific websites for the savings tab.
For the Footprint Calculator
I embedded the
Global Footprint Network’s Footprint Calculator
with my application in this tab to be able to use it for the reference of the user of this app. The website is shown in the
tab app and is functional on that UI
, similar to the website.
I used expo for wifi-application testing, allowing me to develop the app without any wires over the wifi network.
For the Request submission tab, I used react-native-base components to create the form UI elements and firebase to upload the data.
For the Request Viewer, I used firebase to retrieve and view the data as seen.
Challenges I ran into
Some last second challenges I ran to was the manipulation of the database on Google Firebase. While creating the video in fact, I realize that some of the parameters were missing and were not being updated properly. I eventually realized that the naming conventions for some of the parameters being updated both in the state and in firebase got mixed up. Another issue I encountered was being able to retrieve the image from firebase. I was able to log the url, however, due to some issues with the state, I wasnt able to get the uri to the image component, and due to lack of time I left that off. Firebase made it very very easy to push, read and upload files after installing their dependencies.
Thanks to all the great documentation and other tutorials I was able to effectively implement the rest.
What I learned
I learned a lot. Prior to this, I had not had experience with
data modelling, and creating custom user data points. **However, due to my previous experience with **firebase, and some documentation referencing
I was able to see firebase’s built in commands allowing me to query and add specific User ID’s to the the database, allowing me to search for data base on their UIDs. Overall, it was a great experience learning how to model data, using authentication and create custom user data and modify that using google firebase.
Theme and How This Helps The Environment
Overall, this application used
incentives and educates
the user about their impact on the environment to better help the environment.
Design
I created a comprehensive and simple UI to make it easy for users to navigate and understand the purposes of the Application. Additionally, I used previously mentioned utilities in order to create a modern look.
What's next for LORAX (Luring Others to Retain our Abode Extensively)
I hope to create my
own backend in the future
, using
ML
and an
AI
to classify these images and details to automate the submission process and
create my own footprint calculator
rather than using the one provided by the global footprint network.
Built With
apis
data-modelling
expo-permissions
expo.io
footprint-calculator
google-firebase
google-firebase-authentication
google-firestore
google-storage
react-native
react-native-base
the-global-footprint-network
Try it out
github.com | LORAX (Luring Others to Retain our Abode Extensively) | Gamifying and rewarding those who help the environment through their actions and lifestyle | ['Om Joshi'] | ['3rd Place', 'Best Design', 'Wolfram Award for Top 30 Hacks'] | ['apis', 'data-modelling', 'expo-permissions', 'expo.io', 'footprint-calculator', 'google-firebase', 'google-firebase-authentication', 'google-firestore', 'google-storage', 'react-native', 'react-native-base', 'the-global-footprint-network'] | 55 |
10,508 | https://devpost.com/software/covid-19-l8ehst |
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Inspiration
No way Team email :
7054company@gmail.com
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for COVID-19
Built With
html
javascript
Try it out
github.com
7054company.github.io | COVID-19 | The Covid | ['7054company frank'] | [] | ['html', 'javascript'] | 56 |
10,508 | https://devpost.com/software/insight-npwtms | Insight is a resource to help advance the understanding of COVID-19 and educate the public.
Insight
Insight is a resource to help advance the understanding of COVID-19 and educate the public.
Inspiration
Since people are very concerned about the spread of COVID-19, we created Insight to educate the public by using maps and locations to inform users about essential COVID-19 statistics & information at specific places.
We also provide updated news concerning important information related to COVID-19 around the world and tips to help prevent the spread of the virus.
What it Does
Insight is a website that utilizes maps and locations to inform users about essential COVID-19 statistics & information at specific locations. We created a map that highlights information regarding COVID-19 throughout the whole USA. We also created statistics for other countries if you are interested to see the data. We even provide updated news concerning important information related to COVID-19 and tips to help prevent the spread of the virus. Lastly,we know that many people are very paranoid about their exposures with COVID-19, so we created a free quiz that can calculate how likely you are to get contracted with the virus.
How we built it
We created our website using HTML, CSS, and JavaScript.
Challenges we ran into
We had some trouble with creating the map because we had to imports lots of data and make the map look visually appealing.
What we learned
We gained a lot of experience in coding and had lots of fun!
What's next for Insight
Looking into the future, we foresee that our platform will be fully functionable and attracting many users within 8 months. In the next month, we plan to continue to develop our platform by improving the front end looks and back end security & functionality and to make a mobile application. Second, we plan on spending about 2 months to get feedback on our prototype and adjust our product accordingly. Once finished, we can launch the product to the general public. The last and longest step, taking 4 and a half months will be our marketing campaign, in which we will expand our user base. We will do this through two major channels: social media influence and spread of information through word-of-mouth. This is our plan of strategy for Insight.
Contact Us
nehakonduru04@gmail.com
pranavraju2006@gmail.com
Built With
css
html
javascript
Try it out
github.com
Insight.nehak04.repl.co | Insight | A Deeper Dive into the World of Covid | ['Neha Konduru', 'Pranav Konduru'] | ['Best High School Hack', 'Wolfram Award for Top 30 Hacks'] | ['css', 'html', 'javascript'] | 57 |
10,508 | https://devpost.com/software/finance-spendings-tracker | Inspiration
-
What it does
-
How I built it
-
Challenges I ran into
-
Accomplishments that I'm proud of
-
What I learned
-
What's next for
- | - | - | [] | [] | [] | 58 |
10,509 | https://devpost.com/software/drivesafe-nq5ig7 | TabDrive
Inspiration
Distracted driving is the biggest contributor to car accidents, a problem that affects over 60 million people annually. By addressing distracted driving, we will save billions of dollars, countless hours of time, and thousands of lives.
About The Developers
Both Shreeniket and Agnik are high schoolers with a passion for CS.
What It Does
Our app, DriveSafe, alerts drivers if they are practicing bad driving habits, like reaching backseat, drinking, operating the radio, etc. For best use, the phone should be attached to the car's ventilator using a car vent phone holder. Whenever a driver is doing something unsafe, the app alarts them through a text-to-speech. Our app also has a quiz feature that drivers can take before getting in the car to make sure they're fully sober and not distracted. We also added a feature allowing users to find where their car is in a parking lot using AR, which can also be used by companies like Uber to allow their customers to find their drivers more efficiently. More information can be found in the demo above.
How We Built It
We used PyTorch and
this dataset from Kaggle
in order to train a neural network to accurately predict over 10 cases of unsafe driving. Our model achived a 92% valiation over 22,000 images using a pretrained ResNet50 model. We then created an iOS app using Swift and XCode and deployed the model so that it detects these behaviors, which is then articulated by a virtual assistant. This was achieved in real-time by passing every frame of a live video as an image into our neural network. We created the quiz and AR features of the app using Swift, XCode, and echoAR.
Challenges We Ran Into
Importing the PyTorch model into the format XCode requires was the most difficult and time-consuming part of the project, due to the poor documentation and lack of online resources.
Accomplishments That We're Proud Of
We're proud of finishing such a complex project in such a short amount of time and hopefully making an impact on the millions of people affected by automobile accidents.
What We Learned
We learned how to export Tensorflow models to XCode and implement VR tools in iOS apps.
What's Next For DriveSafe
Hopefully larger distracted driving datasets will be created, so we can retrain our model and classify a wider variety of bad driving habits. We also plan on improving the user interface to make it more aesthetically pleasing for our users.
Note
Although this repository was created a week ago, we started working on this project on Saturday. Check the commit history for more information.
Built With
swift
Try it out
github.com | TabDrive | Saving Lives by Stopping Distracted Drivers | ['Agnik Banerjee', 'Shreeniket Bendre'] | ['Best AR/VR App made with EchoAR Award', '1st place'] | ['swift'] | 0 |
10,509 | https://devpost.com/software/asl-aid-xnresk | Homepage, with signs grouped in general categories of essential ASL basics, including words and phrases.
ASL Scanner uses ML model to classify the signs of the ASL alphabet in real-time, as well as a real-time ASL translator.
Quizzes to test users' retention of the signs they are learning.
What it does
ASL Aid facilitates aspiring learners of ASL, by providing methods to guide users, assess their retention of the language, and offering features that assist in real time communication. Features of the app include a homepage with signs grouped in general categories of essential ASL basics, including words and phrases. The app includes a scanner, which implements a specifically trained machine learning model to detect the signs of the ASL alphabet in real time, and proceeds to recognize and inform the user regarding each letter. There is also a feature that acts a real-time ASL translator, where learners can say a word or phrase they want to translate, and receive a detailed image of the relevant signs. Additionally, there are several quizzes available to test users retention of the signs they are learning.
How I built it
ASL Aid was created using Swift in the XCode IDE, with tools such the CoreML vision recognition framework and a specifically trained image classification model created using Microsoft Azure. It also uses Apple’s Speech framework, for live vocal recognition in real-time ASL translator.
Challenges I ran into
Throughout the development of this application I faced a significant amount of challenges, having to learn how to implement functions such as vocal recognition and using new frameworks such as Azure, which I had never used before. Yet through testing and troubleshooting, I was able to successfully apply these technologies to the app. In addition, acquiring a large dataset for an an accurate image classification model was difficult, and after more that 80,000 images gathers and processed, there is still room for improvement.
Accomplishments that I'm proud of
I am proud of being able to have successfully implemented several new technologies within this app, that I had previously viewed as too difficult or intimidating. I am also proud of the the fact that I was able to have a completed, functional product by the end of my first hackathon.
What I learned
I learned several new things throughout the process of this app development and hackathon, from how to use voice recognition within an app, to how to collect a dataset and create a functional image classifier using a convolutional neural network. In general, I learned that for any challenging problems I faced during the process of creating this app, there were always useful resources available online from articles to virtual communities that offered a great way to find relevant answers to any of my questions. Even though the answer might not come so easily, by conducting this thorough research, with the amount of resources that are available on the internet, I now believe anything is possible in regards to what new things you someone can learn. I also found that working on something I was passionate about made it so much easier to push through the challenges I faced during development of the app.
What's next for ASL Aid
In the future, I would like to add more basic word and phrases modules and quizzes within the app so users can reach a greater understanding of the language. I also want to continue increasing the ASL dataset to potentially include signs other than just the alphabet, as well modifying the convolutional neural network as to get more accurate results within the image classifier.
Built With
azure
coreml
speech-recognition
swift
xcode
Try it out
github.com | ASL Aid | ASL Aid facilitates aspiring learners of ASL, by providing methods to guide users, assess their retention of the language, and offering features that assist in real time communication. | ['Victoria Hagenlocker'] | ['Second Place', 'Best Mobile Application'] | ['azure', 'coreml', 'speech-recognition', 'swift', 'xcode'] | 1 |
10,509 | https://devpost.com/software/ideal-incentifying-driver-exposer-and-learning-tool | Inspiration
In 2018, 36,560 people were killed in motor vehicle traffic crashes on US roadways, a 2.4 percent decrease from 37,473 in 2017.
Of the young drivers with known seat belt use who died in motor vehicle crashes in 2017, 47 percent were unrestrained at the time of the crashes.
In 2018, 15 percent of young drivers ages 16 to 20 years old involved in fatal crashes had blood alcohol concentrations (BACs) of .08 g/dL or higher; it is illegal in the US for anyone under age 21 to drink alcohol.
In 2018, 6,283 pedestrians were killed in traffic crashes, a 3.4 percent increase from 2017 and the highest number in 28 years.
In 2018, 857 pedalcyclists were killed in traffic crashes, a 6.3 percent increase and the highest number since 1990.
What it does
We start out at the authentication screen, which has been created with the help of Google Firebase. When we go to register an account, we see this change reflected in the authentication. In the video, I previously had a different testing email and after refreshing we see the new email I had input. Then we are signed in and a new document is created and assigned to the user after the creation of their account.
Now to the main four tabs:
(This is out of order in the video because I did it in a rush)
Complaint/Rewards System
At the home screen we are able to view various sections of the app. One of the main features of the app is being able to submit a complaint, which is then put in pending, until the complaint is verified by local authorities. This allows anyone to be able to use this system to find and expose people in violation of the traffic laws, allowing for safer roads. Additionally, the subconscious effect of this is that people will stop violating these laws knowing they could get a ticket via this app. The complaint is then sent into verifications, where the data is stored in Firestore. Local authorities will be able to access these complaints through Firestore and approve or deny the complaint, which is used for determining whether the user receives points for submitting the complaint. The points can later be used by the user to redeem coupons and other rewards (Still in progress as there may be more sponsorships).Complaints are approved when local law enforcements feel that the complaint had enough details and evidence in order to be able to give a ticket to the person who has been complained about. After being approved, this is reflected in Firestore and it will be reflected in the UI.
Road Analytics
In the road analytics page, we have a maps UI showing our current location. We are able to type in a road which we want to see details regarding. After entering we find useful details such as the danger level of the road, the amount of IDEAL users on the road and the estimated amount of people on the road at the current time. This information allows the user to know whether they should use that road or not with these fine tuned details.
Resources
The last page of this application is the Resources tab where we are able to view the various resources teaching us regarding the various important traffic violations present. This allows to the end-user to learn about the various traffic laws as well as the violations they are complaining about to make sure they are submitting a valid complaint to local authorities.
How I built it
To create the authentication, I used google firebase's authentication api in order to create a backend using Google Firebase. This made it easier than me creating my own backend in a tight time frame. It helped me create custom user assigned data as well.
For the rest of the back end, I also used google firebase's Firestore, a realtime database which allows for end-users to update data in the application (sending forms, ect.) asap. This allowed me to be able to use user custom data for each user with these firebase technologies being able to integrate with each other.
For the tab navigator, I used react-native-navigation's material tab navigator. For the point system, I used Firestore for data modeling and assigning custom data to each user. For the form UI, I used react-native-base in order to create the form elements.
For the point system, I built the backend with google Firestore, as previously stated, to efficiently upload and store data in real time. I created the data model with google Firestone where everything was stored.
I also used expo permissions and their image-picker library in order to get the image and upload it to Firestore.
I hope this makes the world a better place.
Challenges I ran into
I had many issues with Firestore for storing data due to the data modeling. It was quite difficult to have a specific document assigned to one user, which I have learned how to implement properly over this experience.
Accomplishments that I'm proud of
To help have IDEAL Roads
Teach others regarding Traffic Violations
Provide Critical Information regarding roads to end-users
What I learned
I learned how to implement custom user interface with Google Firebase's Firestore
What's next for IDEAL (Incentifying Driver Exposer and Learning Tool)
I hope to create an admin system in the future rather than local authorities accessing Google Firebase directly.
Built With
apis
expo.io
firebase
google-firebase
react-native
react-native-base
react-native-maps
Try it out
github.com | IDEAL (Incentifying Driver Exposer And Learning Tool) RIDER | Helping creating IDEAL and Safe Roads for all of us | ['Om Joshi'] | ['Best Mobile Hack', 'Third Place'] | ['apis', 'expo.io', 'firebase', 'google-firebase', 'react-native', 'react-native-base', 'react-native-maps'] | 2 |
10,509 | https://devpost.com/software/zoom-online-automater | . | . | . | ['Chinmay Kamerkar'] | ['Best use of Digital Ocean API'] | [] | 3 |
10,509 | https://devpost.com/software/covid-classroom-6v2spy | Index page
A teacher's page for uploading and creating classes
A student's class management page
The timer for how long the student has their reward
An empty classes page for a teacher
A testing session
The webserver responsible for relay control
Inspiration
Our inspiration came from not only our own experiences, but also our peers who have had a hard time readjusting to online learning. As stressful as it can be for us, it can be even more hard for younger children who don’t know how to deal with isolated learning. We wanted to find a way to take this unnecessary load off of their young minds and allow them to gain a rewarding experience while gaining more information.
What it does
COVID Classroom is a learning platform that scrapes quizlet sets and teaches kids in a way that they’re more comfortable with. It is essentially a simulated classroom that uses an award system where the user has to study x amount of sets before a smart device allows them to turn on their video games, social media, etc. It holds kids accountable for the work that they put in, which allows them to be more focused with what their learning while being able to do fun snippets of the other things they enjoy. It provides a balance for cohesive learning. In the site, teachers can manage the classes they own along with the students in them, students are notified when they get added to a class. When they enter that class experience, a flash card type test is given, with immediate feedback. Each time a student answers correctly, they are given 15 more minutes on their device. When they feel like it is time for them to redeem the time, they can click a button on the class page, bringing them to a timer page along with posting a get request to the smart device api. This turns on a relay that controls the student's device, and shuts off after the timer.
How We built it
For Covid Classroom, we wanted the architecture to represent a teacher:student hierarchy. In order to do this, we created extensions of the default IdentityUser class to create a teacher and student class. The web scraping algorithm implemented used headers and get requests to obtain and parse quizlet sets into flashCard data types, holding the definition and the term. classroom classes were bound to these flashCard sets, along with their teacher and the list of students in them. When a student enters the testing environment, they are given a flashcard along with 4 random options from other cards. This was done through a shuffling algorithm along with the implementation of a static random class. SignalR was used in the testing page in order to supply real time updates every time the user answers. Websockets and get posts were used to apply the student's saved minutes to the raspberry pi webserver, which used RaspberryPi.Net to control GPIO pins on a relay.
Challenges we ran into
We had challenges learning how to come together to do our tasks when we are so far apart. However, we made sure to communicate effectively on how we will carry out our tasks, which allowed us to get our finished product! Another huge issue we ran into on the development side was the abstraction of student and teacher user classes, initially we had attempted the solution that allows generic functions for either student or teacher, but due to time and energy needing to be spent in other areas, went with a solution of implementing both non-abstractly.
Accomplishments that we’re proud of
We are proud that we were able to work together in such a short amount of time and get so much done. We are really proud of how the testing page ended up, it seemed to be the right amount of comfort and engagement that we were really going for.
What we learned
We learned how how to work together cohesively while being so far away from each other, and we learned how to designate tasks that best fit each of our skill levels. One of the members of our team was inexperienced with coding. However we found ways that still allowed her to contribute to our final product.
What's next for COVID Classroom
Even after the pandemic subsides, this platform can continue to be used for younger students to learn. We will migrate to online databases and publish online so that real students can utilize us, along with some UI tweaks to make it more pleasing :)
Try it out
github.com | COVID Classroom | COVID Classroom- the virtual learning platform that helps young students to grow mentally and learn happier. | ['Braden Everson', 'Marie Germain'] | ['Best Website'] | [] | 4 |
10,509 | https://devpost.com/software/belly-nagator | BellyNator
Inspiration
COVID-19 has impacted our lives in many ways, one such is by making us stay indoors without any physical activity. Without access to gym and the outdoors many of us have fallen short on our health goles.
So in order to do that here is a game for you that would make your body move and terminate the belly! Here be cautious of the red dot keep your hands away from them and catch all the green ones.
Bonus points for push-ups and Squats!!
What it does
Takes live feed from your webcam and uses posenet-ml5 to check for if a user is performing pushups and squats.
Furthermore, a user can also catch the green ball present on the screen while evading the red moving ball.
Tracking the user's movements and awarding points for the same is done in real time.
How I built it
Major part of the making was using ml5.js on pj5 editor online with a pinch of bootstrap.
Challenges I ran into
I had mostly hardware and connectivity issues.
Accomplishments that I'm proud of
Winning a prize in def hacks.
Working for a non for profit The OpenCode Foundation.
Taking part in HACKS'20 while job hunting.
What's next for BellyNator
A signup page and backend to store different users data along with visual representation of the same in similar lines of github commits.
Brief Introduction to our project:
Built With
bootstrap
javascript
Try it out
github.com | BellyNator | Terminate your belly by moving as you play! | ['Shrey Tyagi'] | ['Most Technically Advanced Project'] | ['bootstrap', 'javascript'] | 5 |
10,509 | https://devpost.com/software/smartsubmit | Inspiration
When remote learning had begun, I noticed that Google Classroom, while certainly a clean and useful tool for teachers, was not very technologically advanced and had lots of room for improvement in that direction. For tests and assignments, I normally had to do my work on paper and submit a photo of it to Classroom; however, I was unable to receive feedback on my work because there simply was no easy way to do it. That's when I was inspired to create SmartSubmit.
What it does
SmartSubmit is a chrome extension for Google Classroom that allows teachers to convert student's submissions into Google Documents and convert assignment attachments (e.g. pictures of handouts) into Google Documents as well. Therefore, teachers have easy and interactive access to their students' work and students have the same experience when completing assignments.
How I built it
SmartSubmit's frontend is a chrome extension, so it uses the same programming languages as that of a website (HTML/CSS and Javascript). The backend is a Flask app written in Python, and handles the image to text conversion using the OpenCV and PyTesseract optical character recognition (OCR) libraries. It also uses the Google Docs, Google Drive, and Google Classroom API to manage files, submissions, and attachments.
Challenges I ran into
At first, PyTesseract was not as accurate as I had hoped for, but after some research I discovered that image pre-processing would drastically improve the results of the OCR. However, this took a lot of time and effort. The Google APIs were also difficult to use and lots of debugging had to be done before I could successfully implement them into my project.
What I learned
I learned a lot at this hackathon; firstly, the Google Docs, Google Drive, and Google Classroom APIs were completely new to me and I am glad to say that they are very useful and that I will most definitely use them for future projects. I also had never used the PyTesseract library before, and I was impressed that a built-in model could perform OCR very quickly and fairly accurately.
What's next for SmartSubmit
SmartSubmit has lots of room for improvement. First off, the image-to-text conversion is not 100% accurate because I used a Python library myself. To increase accuracy, the processing would be moved to an already-existing vision/OCR API, such as Google Cloud Vision. I also plan to improve the UI of the chrome extension to be more appealing and user-friendly.
Built With
flask
google
html/css
javascript
opencv
pytesseract
Try it out
github.com | SmartSubmit | A tool to help teachers handle online submissions and assignments quickly and efficiently. | ['Ashwin Rajesh'] | ['Best Idea'] | ['flask', 'google', 'html/css', 'javascript', 'opencv', 'pytesseract'] | 6 |
10,509 | https://devpost.com/software/sweet-old-home | Inspiration
Depression is not a normal part of growing older, yet the elderly are at an increased risk of experiencing depression than any other age group. The CDC reports that around 10-15 percent of elderly living in communities experience symptoms of depression, yet this number jumps to a staggering 52 percent when in elderly care homes, as aged care residents often feel isolated from their communities and as a result turn de-sensitized and apathetic towards their surroundings. Not to mention, according to the Cleveland Clinic depression can severely worsen conditions such as Coronary Heart Disease, HIV/AIDS, Parkinson’s Disease, and a plethora of other diseases, even increasing the chance of a heart attack by a minimum of 15 percent, which is clearly detrimental towards our elderly communities.
What it does
To combat this problem, our application “Sweet Old Home”, introduces volunteers from the community to spend time with senior citizens who are in need of assistance, this assistance can include tasks such as taking the senior citizen to walks around the park, helping them with groceries and even offering emotional support. As mentioned before, more than half (52%) of aged care residents have symptoms of depression, compared with 10-15% of older people living in the community. Offering them support through the community and giving them personal support and care can combat these chronic diseases and depression.
How I built it
We built this app on Visual Studio Code, using HTML, Javascipt, CSS, and PHP, and we stored the data of the users in Firebase
Challenges I ran into
Challenges we ran into include not being able to store the proper values in Firebase
Accomplishments that I'm proud of
Accomplishments I'm proud of are being able to store the events in firebase and display them for everyone on different accounts
What I learned
I learned that Firebase is an incredibly useful tool for any developer, as storing data becomes easy using Cloud Firestore
What's next for Sweet Old Home
We have just scratched the surface with the potential this application has. In the future, our business model will revolve around revenue from ads. As we only had a week, we decided to structure our very own and never seen before type of volunteering opportunity, around the elderly, where volunteering services have often gone unnoticed. But as we continue to expand on this web app, we will start adding other areas of volunteering services, such as opportunities in medicine, politics, construction, etc., that volunteers can use to specifically find different volunteering opportunities, network with other organizers and volunteers, and truly make our communities a better place for the past, present, and future generations. To make our web application better for the user, we plan to add features in the future, such as a google maps system to track users' location for safety purposes. We also plan to have an interactive messaging network between the senior citizen and the volunteer. This app is also able to be used with many volunteering service groups as a senior citizen can request for a whole group such as musicians, artists etc.
Built With
bootstrap
css3
firebase
firestore
html5
javascript
jquery
php5
Try it out
sweet-old-home.sakethkorrapolu.repl.co | Sweet Old Home | Our application pairs up a volunteer with a senior citizen, and the senior citizen can create an account and the volunteer can select the volunteering tasks they wish to help them with. | ['Saketh Korrapolu', 'Ronit Mehta', 'Rayan Narayanaswamy', 'Raviteja Pillalamarri'] | ['Best UI'] | ['bootstrap', 'css3', 'firebase', 'firestore', 'html5', 'javascript', 'jquery', 'php5'] | 7 |
10,509 | https://devpost.com/software/handwriting-cv | Inspiration
It has become difficult in these trying times for teachers to check students' homework, because not everyone has a laptop. But what all students do have is a phone. What is different is that the teacher need not spend time reading everyone's work from the photos submitted, and let the computer do that.
What it does
A python program that uses CV to recognize text from the images of answers students have sent. These answers are than checked as to whether they contain important keywords (for example names of chemical processes in science, or names of historical events/years/places in social science) specified by the teacher beforehand, and are alloted marks accordingly.
How I built it
Using python and google computer vision api
Challenges I ran into
A lot of module errors, some still unresolved
Accomplishments that I'm proud of
Using the latest ideas
What I learned
How to use google apis
What's next for handwriting-cv
A more receptive front end, account system and an nlp model working on the answers
Built With
html
python
Try it out
github.com | TeacherAid AnswerChecker | Helps teachers check student's answers based on photos submitted | ['Ami Buch'] | [] | ['html', 'python'] | 8 |
10,509 | https://devpost.com/software/decode-czfn4o | . | . | . | ['Leon Yee', 'Spencer He'] | [] | [] | 9 |
10,509 | https://devpost.com/software/patient-care-gkra8h | getting doctor appointments takes forever so we made an app that does it faster. Also, we made a gadget that can help people who are at risk of heart deceases.
Detects temperature and the app can get people doctor appointments fast and easily.
We used Adobe Xd to make the app/ website and Arduino Uno and other components to make the gadget
Challenges I faced: Time limit and
Accomplishments: My first hackathon #learned how to code # learned how to use Arduino
What I learned: How to code and use Adobe Xd
What's next for Patient Care: Gadget will be able to detect heart rate and call or help if heart failure occurs
Built With
adobexd
arduino
sensors | Patient Care | Connects Patients and doctors together. Patients can get an appointment fast. | ['Daiyan Karim'] | [] | ['adobexd', 'arduino', 'sensors'] | 10 |
10,509 | https://devpost.com/software/aer-augmented-environmental-rift | UI
Inspiration
During the
Covid-19 pandemic
, humans have decreased their relative carbon footprint due to the less frequent use of vehicles, this marks an accidental but welcoming change to our lifestyles. However, our team at Ramen. Co believes that even though the use of vehicles will not further go down, it is important to remind citizens of the world that carbon emissions are still a problem in our society and there are other ways to solve the problem without making sacrifices such as the limited use of vehicles.
What it does
AER allows users to perform landscaping and domestic design while monitoring their impact on the environment. The mobile application allows users to place down appliances in the 3-dimensional environment that is seen through the camera. The users are also able to place down plants such as grass and trees for planning out a garden or their backyard. Furthermore, the application allows the user to easily modify their design using productivity tools such as undoing their last change, deleting an object, as well as modifying an item’s position. As objects are placed a score is generated that estimates the decrease/increase in carbon footprint by using region-specific data.
How we built it
The application is built on the Unity Engine. We used C# scripts to control and process the user’s input. These scripts allow users to select and control items to add and modify objects. We also designed animations to make the application more welcoming and intuitive. The backend implementation of the application uses data structures to organize region-specific CO2 intensity as well as bit manipulation techniques to respond to the user’s actions efficiently.
Challenges we ran into
There were many obstacles in this project. Monitoring our timeline and ensuring that we have a viable plan was one of the most difficult tasks. While dealing with the tight schedule, we also ran into numerous problems with our implementation of the productivity functions. These functions are especially difficult since they required the use of multiple advanced data structures to store the user actions in the memory to undo and redo the placement and rotation of objects. Additionally, it was difficult to increase the speed at which the device identifies a surface using raycasting to detect collisions from a distance.
Accomplishments that we're proud of
We are proud of learning to use Unity AR in a short period of time to implement a fully functional app with a sleek user interface. Additionally, we were able to add several different mechanisms in our user interface and connect them very quickly to the C# backend. Most importantly our team was able to find debugging tools such as ADB to successfully apply 3D hit detection to select and destroy objects.
What we learned
We learned how to use Unity AR and debug an android mobile application using ADB. In addition, we learned how to program using a new language (C#) as none of the team members have experience in programming using this language. The pressure applied by the time constraint made us cooperate more closely and maintain constant communication about our progress. We also learned about the impact of various plants and appliances on the environment as plants such as grass actually impact the environment negatively due to fertilizers and the emissions from cutting grass.
What's next for AER (Augmented Ecological Rift)
We would like to expand the database of landscaping objects and appliances available on the mobile app to evaluate our impact on the environment. More importantly, we would like to use location-specific data to educate people about the effects of using renewable energy sources for powering appliances and compare with other people from around the world. Finally, we would like to continue working on optimizing the design of the application to give the users a more intuitive and pleasant experience.
Built With
arcore
arfoundation
c#
unity
Try it out
github.com | AER (Augmented Ecological Rift) | Augmented Reality Landscaping and Domestic Design Application to Evaluate Your Impact on the Environment | ['Alex Xu', 'Tim Yang', 'Cheran Mahalingam', 'TheLeoChai Chai'] | [] | ['arcore', 'arfoundation', 'c#', 'unity'] | 11 |
10,509 | https://devpost.com/software/food-for-all-pmavj0 | Inspiration
We have seen a drastic increase in the number of people within the United States who are in a state of food insecurity. Unfortunately, this increase is correlated with the stress that the pandemic has laid on our nation's food banks. We knew that there had to be a way to solve this issue, so we made Food For All, a social media-esque, platform where banks can request and users can donate.
What it does
Both banks and users can sign up. Banks can make requests which the users can see, and the users can sign up to donate a certain amount. We also utilize the google maps API to show food bank locations across the continental United States.
How we built it
We used the MERN stack, which consists of MongoDB, Express, React, and Node.JS. We also used some typescript for the google maps API. Additionally, we used bootstrap/react-bootstrap for the front-end.
Challenges we ran into
One of the challenges we encountered was getting logout to logout the user and also allow them to log back in. This was because JS local storage saves booleans as strings instead of booleans. Another problem we had was only allowing food banks to see the create an request option and not the user.
Accomplishments that we're proud of
We're proud of the login and sign up working, the google maps map with food bank locations, and the donation page where users can donate.
What we learned
We drastically improved our skills in mongodb, express, react, and node. We also learned about working together in making robust web applications.
What's next for Food For All
We hope to launch food for all as an actual service, and the main things preventing us are the legal bindings, moderation, coordination, and making sure that users deliver what they have promised. We likely need to have a more complex form on the donation page than just the number.
Built With
bootstrap
css3
express.js
google-maps
javascript
mongodb
node.js
react
typescript
Try it out
github.com | Food For All | We wish to see a community in which people are able to get sufficient food and resources. Our Mission is to provide a platform in which food banks can express their needs and benefactors can donate. | ['Kshitij Kapoor', 'Adeeb Ismail', 'Samrut Gadde'] | [] | ['bootstrap', 'css3', 'express.js', 'google-maps', 'javascript', 'mongodb', 'node.js', 'react', 'typescript'] | 12 |
10,509 | https://devpost.com/software/corona-guard | Corona Guard
Home Screen
Resources Page
Contact Log Page (part 2)
Contact Log Page (part 3)
Settings Page
Contact Log Page (part 1)
NFC Scanner Station Overview
NFC Scanner Station Front View
NFC Scanner Station Side View
NFC Scanner Interface
NFC Prototype
Backend
Backend Database
Inspiration
Since December 2019, the Coronavirus pandemic labeled Covid-19 by the World Health Organization has spread to over 188 United Nations member countries infecting over 4.9 million people while causing over 300,000 deaths around the globe. Coronavirus’s high RO value of 2.5 combined with its long incubation period of up to 14 days means that the only way to control the spread of Covid-19 is to social distance. This has caused the majority of public spaces to close wreaking havoc on the global economy. To reopen the majority of the global economy safely, robust testing and tracing infrastructure is needed to prevent a new spike in Covid-19 cases and deaths.
Most countries around the world lack robust infrastructure for tracking the spread of Covid-19 letting it spread very quickly causing unexpected spikes in cases all over the world. Contact tracing is a method of tracking personal interactions in order to preemptively warn a person before they spread Covid-19 to others who they will come into contact with in the future. By tracking personal interactions before Covid-19 actually spreads, many of the risks of being in public are reduced while healthcare providers can take a proactive approach when treating suspected cases of Covid-19 potentially saving thousands of lives. All primary, secondary, and tertiary interactions are logged which allows people to get notified even if they are at a low risk of contracting Covid-19. Contact tracing also allows health care professionals to allocate limited resources like medications and vaccines to people who need them most by finding people who are at the highest risk for contracting Covid-19.
What it does
Corona Guard is a secure contact tracing app that utilizes peer to peer bluetooth communication to anonymously track the spread of COVID-19. It notifies users of daily interaction with other users of the application, gives updates regarding the number of direct, indirect, and distant interactions with people testing positive for COVID-19, and calculates the risk of having the virus. Corona Guard also features an NFC chip that users must check into before going into public spaces to ensure that the public spaces are within healthy capacity levels. Owners of these public spaces also have the option of barring people from entering their property if they have a high risk user. The app has a resources page to give the most up-to-date and accurate news and recommendations during the pandemic to prevent misinformation. All in all, Corona Guard aims to curb the spread of COVID-19 at its sources through its anonymous contact tracing and NFC system so that communities collectively can tackle the pandemic once and for all.
How we built it
The main mobile application for Corona Guard was made using Google’s Flutter SDK. Flutter is a mobile SDK that is compatible with Android Studio and Xcode letting mobile applications be compatible with both android and ios devices of any shape, size, and operating system version. Flutter enables Corona Guard to run on any modern smartphone with proper scaling and a responsive UI. Using the Flutter SDK, our team developed a responsive UI that enables users to get real time data about their risk of infection while receiving notifications if they have been in contact with someone who has tested positive for Covid-19. The app also provides links where users can get up to date information about Covid-19 spread and procedures in their respective areas. The user interface of our app was designed with the intention of giving users easy to access information while being as transparent as possible about how a user’s data is stored and used.
The backend of the app was built using Google Firebase. There were two main tables, one for users and one for the entire system. The user side had these fields: “uuids heard”, a boolean “infected” value, and a calculated “risk” percentage. Every user updates the uuids they heard to the system, and this is stored in the “events” table. This table has 3 fields as well: “uuid”, a “time” value, and the user who uploaded this value. Together, these two datatables work to send data to the Flutter frontend. Firebase gives our app the ability to adapt to a changing user base being fast and responsive with one or one billion users.
The NFC scanner we built utilizes the MIFARE NFC standard which can transmit over 1KB of data wirelessly in under a second. The scanner reads the data in blocks which each hold 16 bytes of data. There are 64 blocks meaning the scanner reads 1024 bytes of data in total. The NFC tag in the phone stores whether a person has been exposed or infected with Covid-19 in the first byte in the first block as either a 0 or a 1; 0 for negative and 1 for positive. We stored this data in the first block so that in the event the scanner gets a partial read the scanner will still be able to display a positive or negative result. Lastly, if the rest of the bytes in the block are not clear (set to 0) the scanner will read the phone’s NFC chip as invalid as the person who is scanning the phone is likely using an unsupported app. As no data is needed by the arduino microcontroller, our NFC scanner can run without an internet connection making it even easier to use for businesses of all sizes. The only potential maintenance a business would have to perform are firmware updates every few months as we continue to optimize the scanner to become faster and faster.
Industrial Scanner Design
As part of our NFC scanner, we also prototyped a sleek and industrial scanner enclosure for use in public spaces to accompany the NFC scanner and user interface. The scanner enclosure is made out of aerospace-grade aluminum and features a stylish industrial design. The user interface includes an NFC reader/writer and a large, high resolution 12" LED display.
Challenges we ran into
Some challenges we ran into while building Corona Guard was how to make it as private as possible. We initially thought of the idea to use geolocation or GPS, but many are hesitant towards giving their every location to a private company. Thus, we decided to transmit anonymous UUIDs (Unique User ID) between users in order to track which phones had contact with each other. These UUIDs are not connected to any private data such as someone's name, so we decided that this was a secure enough way for everyone to remain completely anonymous while still being able to accurately track contacts.
Accomplishments that we're proud of
The application is fully functional and is compatible with iOS 8 or newer and Android Jelly Bean, v16, 4.1.x or newer.
What we learned
We learned the fundamentals of app development and how to build a working application from the ground up. We learned how to use the Flutter SDK for the front-end UI/UX and Google Firebase for the backend.
What's next for Corona Guard
We are hopeful that this application can provide communities a tool to collectively combat the spread of COVID-19 through its accessibility and ease-of-use. Through connections with health organizations, we can provide COVID-19 testing centers with information on who to prioritize testing and give health officials valuable information to help stop the spread of the pandemic. In the future, we hope to continue expanding our knowledge of algorithms and data science techniques to make the backend of the app more efficient and scalable.
Built With
arduino
bluetooth
dart
firebase
flutter
nfc
Try it out
github.com | Corona Guard | Corona Guard is a smart contact tracing app that aims to slow the spread of COVID-19 and other infectious diseases by logging interactions between humans in a secure and private way. | ['Vikas Ummadisetty', 'Derek Xu', 'Krishna Veeragandham', 'Subash Shibu'] | [] | ['arduino', 'bluetooth', 'dart', 'firebase', 'flutter', 'nfc'] | 13 |
10,509 | https://devpost.com/software/password-strength-detector | Inspiration
In order to protect people from danger online, I created this program to help users determine if a password they are using is strong or not. For each password, there are 5 levels: very weak, weak, moderate, strong, very strong. For the first four categories, there will be prompts given about how the password could be improved.
What it does
The user simply types in a potential password, and go!
How I built it
I used c++ code on repl.it, where I shared the program. Then, I built a website using bubble.io with instructions and a button to the site.
Challenges I ran into
One challenge I ran into was determining how a password could be judged as strong or weak. I brainstormed many different parameters and incorporated them into my code.
Accomplishments that I'm proud of
I think that my website is designed well and has clear instructions.
What's next for Password Strength Detector
Next, I would like to use more parameters to determine if the passwords are weak and strong, such as searching for common words.
Built With
bubble.io
c++
Try it out
password-strength.bubbleapps.io | Password Strength Detector | One prevalent issue in our technology-forward world today is security through online passwords. This site determines if a password is weak or strong based on some parameters. | ['Sally Zhu'] | [] | ['bubble.io', 'c++'] | 14 |
10,509 | https://devpost.com/software/moodtracker | Inspiration
Inspired by elevating mood journals and incorporating AI. With busy lifestyles, often times people don't realize the value of tracking mood and mindfulness.
What it does
MoodTrack allows people to track their mood by taking pictures, creating a dashboard, and connecting with medical professionals.
How we built it
We built it with HTML, CSS, JS and Tensorflow and JS. We created a Resnet50 algorithm trained on a Kaggle dataset of 30,000+ images. This model was incorporated with our website to allow for tracking mood.
Challenges we ran into
With team members across the world, it was difficult to collaborate. We also had a hard time connecting the model to our website but we solved this through launching the website on Netifly.
Accomplishments that we're proud of
We are proud of our website, dashboard, and model.
What we learned
We learned how to collaborate as well as learn how to deploy AI models through a website.
What's next for MoodTracker
Once MoodTrack is launched, it will continue to grow through research and development/
Built With
api
css
face
html
javascript
python
tensorflow
Try it out
github.com | MoodTrack | Track your mood with MoodTrack | ['Divy Shah', 'Harsh Kumar'] | ['Top 15 Projects'] | ['api', 'css', 'face', 'html', 'javascript', 'python', 'tensorflow'] | 15 |
10,509 | https://devpost.com/software/electricity-h5xreo | Home Page
Simulation Banner
Footer Search Bar
General Energy Information
Fossil Fuels Information
Policies Information
Change Page
Simulation Instructions
Controls Panel
Inspiration
We were inspired to create ElectriCity to teach students about the environmental challenges we face today so that they can go on to make this world a brighter, cleaner place. Climate change and clean energy are increasingly becoming points of concern and in order to sustain our resources and maintain a healthy environment, it is important that people are aware of how their decisions can affect the world around them.
What it does
ElectriCity is a website that houses information regarding different types of renewable and nonrenewable energy sources, as well as environmental policy. Additionally, it provides the user with additional resources and ways to reach out and help environmental organizations. Finally, it features a simulation game that allows the user to experiment with trying to find the cleanest way to power a city while at the same time keeping in mind a city budget.
How I built it
We created a website and a simulation using HTML, CSS, JavaScript, and jquery. We first put in all the content using HTML and then created all the interactive parts of the game using javascript. Finally, we used CSS to improve the website and simulation’s aesthetic.
Challenges I ran into
While working on the game, we ran into a problem creating buttons to allow the user to add and remove pictures of certain energy sources to the city backgrounds. We tried adjusting and running the code many times but were unable to figure it out and reached out to a mentor to help. We went through the code piece by piece and eventually found the error, allowing us to successfully complete the program.
Accomplishments that I'm proud of
We are proud of the amount of resources and all the information we are able to provide for students. We are also really proud of the game we created, a unique feature of our website is that we both have all of the information on a website as well as a simulation with the live usage of the information we were teaching.
What I learned
We learnt a lot about energy usage in the world. We also learned a lot about managing our time and working together to edit code.
What's next for ElectriCity
In the future, we want to be able to allow users to create accounts in order to gain a more personalized experience. We attempted to work with firebase to do this but were unable to finish this step. We would also like to be able to create a database with more information of energy costs, energy, and emissions in order to make the simulation as similar to real life as possible.
Built With
css
html
javascript
jquery
Try it out
repl.it
electricity.karnatis.repl.co
github.com | ElectriCity | ElectriCity promotes sustainability and allows students to understand the budgeting and balancing behind energy policy through interactive simulations and educational resources. | ['Shreya Karnati', 'Smriti Sankaran'] | [] | ['css', 'html', 'javascript', 'jquery'] | 16 |
10,509 | https://devpost.com/software/comida-k98uoy | Inspiration
The inspiration for creating Comida was when I noticed that many people, like me, were starting to cook and eat their meals at home more often, and as a result, leftovers were being stored in the fridge for a long time. Since, after many months of eating at home, people are simply tired of eating the same meals over and over again, leftovers that were stored in the refrigerator would end up in the landfill anyway. This is a massive issue, because after ending in the landfill, the spoiled food decomposes and releases methane in the atmosphere, which can contribute to global warming. If food continues to be ending up in the landfill, our environment will slowly deteriorate.
What it does
Comida provides data-driven recommendations on what to make with the leftovers that are stored in your home. In addition, when producing solutions, it takes into account your allergies and how much time you have on your hands in order to produce these results. Finally, it asks for where and how long that you have stored these leftovers, and generates warnings if the food is said to be past its general expiration date. If this does occur, tips on how to safely store that specific food in the future will be shown as well as well as if anything can be done to the spoiled food, such as be used for fertilizer.
How I built it
In order to create this, Flask was used for the backend. The Reddit API and Python was used to parse through posts on reddit and find those with the most upvotes to make with that ingredient. Finally, the user interface of the website was created using HTML, CSS, and Javascript.
Challenges I ran into
Because I had never used Flask before, I had to go through multiple tutorials to figure out on how to use Flask to connect the Python script to the front end. Also, creating the website's layout was difficult because I wanted the website to look aesthetically pleasing, but at the same time, it had to be simple for the user to be able to input information and receive the output. After much deliberation, I arranged the results of the recipes in a table, as it was easy to comprehend and had a clean look. Also, I read the Python Reddit API Wrapper multiple times in order to implement the correct functions to pull specific data from each post.
Accomplishments that I'm proud of
I am proud of being able to create a functional platform that users can use to find new recipes to create with their leftovers. Also, I love the way that the website turned out, as it is clean and has an easy-to-use interface.
What I learned
I learned how important brainstorming and thinking through one's ideas is. Before starting on my project, I thought through the problems that people are facing during this time, and wrote down my thinking in order to create this platform. This was extremely helpful and gave me a clear idea of what my idea would be. In addition, I learned how to use Flask to connect the Python script that I wrote to pull specific information from Reddit to the front end, and allow it to respond to a user's input.
What's next for Comida
In the near future, I hope to spread my platform for people to utilize in order to prevent food wastage. Instead of throwing it into the landfill, they can create new recipes with it and enjoy a delicious meal altogether! In addition, I hope to incorporate an image classifier model that would be able to recognize an image with multiple dishes or ingredients, and find recipes for people to make with those. Comida can be used after the Covid-19 pandemic is over as well, and will help people to make environmentally friendly decisions as well.
Built With
css3
flask
html5
javascript
praw
python
Try it out
github.com | Comida | A platform that encourages people to try new recipes by using their old leftovers! | ['Riya Bhatia'] | ['Third Place'] | ['css3', 'flask', 'html5', 'javascript', 'praw', 'python'] | 17 |
10,509 | https://devpost.com/software/masksense | Inspiration
Only 44% of people in the US always practice the important safety measure of wearing a mask during the COVID-19 pandemic. This statistic is extremely low and is detrimental towards the elimination of COVID-19 in the US.
What it does
My application predicts if a user is currently wearing a face mask through their webcam real-time.
How I built it
I built a CNN Sequential model using tensorflow.keras, and trained it using a dataset from Kaggle.
The dataset can be found here:
https://www.kaggle.com/harry418/dataset-for-mask-detection
?
I used the libraries numpy, keras, sklearn, tensorflow, and OpenCV.
Challenges I ran into
The primary challenge I ran into was playing around with the model to get the highest validation accuracy rate. After testing with different techniques and parameters such as pooling and learning rate, my model's accuracy increased significantly.
Accomplishments that I'm proud of
I'm proud of the accuracy that my model achieved; my final model reached an accuracy of 90%.
What I learned
I expanded my understanding of building ML models, as well as learned how to use features of the OpenCV library.
What's next for MaskSense
This application is relevant to the current pandemic, and is scalable for various use cases, such as at institutions and public spaces to enforce face masks.
Built With
keras
opencv
python
scikit-learn
tensorflow
Try it out
github.com | MaskSense | ML python application to detect faces wearing masks real-time | ['Justin Chiang'] | [] | ['keras', 'opencv', 'python', 'scikit-learn', 'tensorflow'] | 18 |
10,509 | https://devpost.com/software/greener-earth-4orfpv | Our Home Page
Our Mission
Options for user to pick and learn about the issue/s they are interest in
Interactive Lesson and Quiz
Interactive Graph
Inspiration
COVID-19 has made us realize that it is really humans who are destroying the environment, so we wanted to make this project to show how people can contribute to the betterment of our society and be part of the solution to problems. Over the years, we have learnt just how important it is to help our environment. It is in everyone’s best interest that we keep our world clean and do our part to learn how to care for the environment and what affects it. The increasing damage to our one and only home, the Earth, is not only bad for us, humans, but causes major damage to the Earth’s biodiversity. With the help of this website, we hope more people understand the severity of these issues and start to make a positive impact in the world. We only have one Earth and it is up to us to take care of it.
What it does
This website has interactive features that users can click on and hover to learn more about the environmental issues. In “how you can help” page, there are different kinds of environmental issues that users can learn about. “Interactive lesson” teaches users the environmental cycle and how the cycle affects the environment. There is also a quiz section after the lesson that users can take to check their knowledge.
How we built it
We started by creating a framework for the website with the navigation bar, and from there we added an HTML file for each tab and added more code to put images, texts, and buttons. We used a platform called repl, where multiple people can edit code at once which made it easier for us. Repl also lets us test out our website and provides us with the link for the website that can be accessed from any browser.
Challenges we ran into
We had a problem with making a quiz through JavaScript but we were able to find another way to make the quiz. Also there were some issues with placing the four buttons for the “how you can help” page but eventually we figured out how to lay out the buttons in a neat way. These problems helped us gain more knowledge and aided in tackling similar problems in different parts of the code
Accomplishments that we're proud of
We are proud of researching many environmental issues and compiling them on one website so that it’s easier for users to learn about multiple issues in one webpage. We are also proud of creating the interactive features like buttons and quiz which we had the most difficulty with. And most importantly we are proud of being able to make a website that is for a good cause and will help spread awareness for more people to take initiative.
What we learned
From working on this project, we were able to review our skills for HTML and CSS and learn about some more new concepts, such as making a quiz and adding hovering features. This project also helped us with our teamwork skills, and we learned what it’s like to collaborate with others to create something together. This was a first hackathon for all of us and it was a really unique and beneficial experience. Creating something in 48 hours requires a lot of dedication and thought.
What's next for Greener Earth
We want to add a features that lets the users input their data on how much energy/water they saved or wasted and be able to display the results as a graph over multiple days from the user input data. We also want to add a dynamic map that tracks the water and air quality of the cities across the country and shows how the measures are fluctuating each day in these cities.
Built With
css
html
javascript
Try it out
website.betterworld.repl.co | Greener Earth | We wanted to spread awareness about the environmental problems, and encourage users to take small actions to help, so we made a website that teaches users about the seriousness of these issues. | ['Pranav Harwadekar', 'Hyerin Lee', 'Ana Ramos'] | [] | ['css', 'html', 'javascript'] | 19 |
10,509 | https://devpost.com/software/replant | Inspiration
Every year, approximately 4 billion trees are cut down for producing paper. This loss of trees can lead to significant global problems, which include climate change, soil erosion, flooding, increased greenhouse gases in the atmosphere, and so on. Replant attempts to mitigate this issue by letting users become aware of how much they have contributed to the problem, and gives them an approximate figure of how many trees they need to grow in order to compensate for their paper usage.
What it does
Basically users input the average number of pages they have used each day for a certain period (eg a year), and based on that, the application will exhibit the total number of trees they need to grow to make up for their yearly paper usage.
How I built it
Used HTML and CSS for the front end, and express server for the back end.
Challenges I ran into
I have never worked with express servers before. So learning it on the go, plus struggling to call my css after implementing the back end, made the project quite challenging.
Accomplishments that I'm proud of
Being able to learn something on the spot and then implement it successfully.
What I learned
I learned the basics of using express js, and got to know how a back end works. I also realized that connecting a front end with a back end can be pretty daunting, especially if the front end has to fetch an API from a server.
What's next for replant
Currently, replant does not take into account the paper consumed when using products like toilet paper, plastic bags, newspapers, magazines or books. So adding this feature could be a nice addition as replant would then be able to output much more accurate calculations. Adding a leaderboard would also be nice as it would motivate people to plant more trees, and perhaps give more to the earth than what they have consumed.
Built With
css
express.js
html
javascript
node.js | replant | Do not let the world die because of YOU. Join replant and compensate for every single sheet of paper you consume. | ['Abrar Rakin'] | [] | ['css', 'express.js', 'html', 'javascript', 'node.js'] | 20 |
10,509 | https://devpost.com/software/project-eject-exterminating-jarring-earth-completely-today | Inspiration
1 billion people are affected due to desertification. 25 million people have escaped their land due to desertification. Desertification is a huge problem in sub-saharan Africa. It costs over 42 million dollars for the government to fix, so the only way to save the earth is to rely on grassroots efforts from people to aid desertification.
What it does
Our web app helps promote grassroots efforts in our community by giving step by step plans to save their land, and allows for people to donate money to others in need. It also gives a climate map where garden growing is most necessary, and it has a blogs page where people can answer any questions or share tips about their project. Lastly, our project gives personalized advice to anyone who needs it.
How I built it
We used machine learning, flask, html, css, and js.
Challenges I ran into
It was extremely tough to finish the project especially when we started 3 days late! Thankfully we were able to finish but it took lots of effort and hardwork to get this project done ASAP especially during school days.
Accomplishments that I'm proud of
I am proud of making a machine learning model that helps people, and making a webapp that has an awesome ui thanks to teammate fara yan!
What I learned
I learned more about css and html and about different machine learning models like SVM and KNN.
What's next for PROJECT EJECT (EXTERMINATING JARRING EARTH COMPLETELY TODAY)
We want to use open CV to allow the user to input a picture of their file and our neural network will automatically find the issues by looking analyzing the image. We also want to make our instructions more detailed and clean.
Built With
css3
flask
html5
javascript
Try it out
github.com
github.com | PROJECT EJECT (EXTERMINATING JARRING EARTH COMPLETELY TODAY) | Promoting eradication of deserted areas in all of Sub-Saharan Africa | ['Neeral Bhalgat', 'Fara Yan'] | [] | ['css3', 'flask', 'html5', 'javascript'] | 21 |
10,509 | https://devpost.com/software/trackable | A better way to care and connect.
Inspiration
In a time where healthcare workers are working long hours away from their families and patients are unable to see their loved ones, it is up to us to help everyone feel more cared for. Not only that, many public places are not following COVID-19 protocols, including social distancing, requiring face masks, and offering sanitization supplies or sanitizing regularly, increasing your risk factor by 82%. In many ways, it’s no surprise that the same groups that have faced persistent poverty and histories of discrimination are now also the ones at higher risk of contracting the coronavirus and bearing the brunt of its economic cost. This is where our website, Trackable, comes in.
What it does
Trackable is a website that utilizes crowd-sourced data to inform users about the safety of certain public locations. We also realize that due to COVID-19, many people are facing isolation in their daily lives and are not able to communicate with their families as much, so we are offering a dedicated place where you can send meaningful messages to those who need it. Lastly, we know that many people are very paranoid about their exposures with COVID-19, so we created a free quiz that can calculate how likely you are to get contracted with the virus.
How we built it
We created our website using HTML, CSS, and JavaScript.
Challenges we ran into
We had trouble connecting to the Google API because it was really hard to implement it to the website.
Accomplishments that we're proud of
We are proud that we finished this project during the hackathon duration.
What we learned
We gained a lot of experience in coding and had lots of fun during HackDefy!
What's next for Trackable
We foresee that our platform will be fully functionable and attracting thousands of users within 8 months. In the next month, we plan to continue to develop our platform by improving the front end looks and back end security & functionality. Second, we plan on spending about 2 months to get feedback on our prototype and adjust our product accordingly. Once finished, we can launch the product to the general public. The last and longest step, taking 4 and a half months will be our marketing campaign, in which we will expand our user base. We will do this through two major channels: social media influence and spread of information through word-of-mouth. This is our plan of strategy for Trackable.
Built With
css3
html5
javascript
Try it out
trackablewebsite.nehak04.repl.co | Trackable | A better way to care and connect. | ['Neha Konduru', 'Pranav Konduru'] | ['Best Health Hack'] | ['css3', 'html5', 'javascript'] | 22 |
10,509 | https://devpost.com/software/drfit-q1vith | Flowchart
Inspiration
A potential challenge during the pandemic outbreak like COVID19 is overwhelming hospitals. Due to the increase in the number of COVID patients, doctors are giving less attention to a non-COVID patient. Right now, hospitals don't have the capacity for the large number of incoming patients. There is a need for a technology platform which is capable of remote-monitoring and allowing for the engagement of patients in their homes. The capabilities also facilitate communication between quarantined people and the healthcare service and maintain visibility of those recently discharged. This problem is what inspired us to make this user-friendly interface.
What it does
The DrFit platform offers an ideal way to monitor patients while they are in quarantine. The device hub include those that measure vital body temperature, heart rate, blood pressure, SPO2 level in the blood. The information of the vital signs will be updated via web to the doctors.
How we built it
We used the Google Cloud Platform along with Firebase for this project.
Firebase
User Authentication
Realtime Database
Store Vital Data and User Information
Store Information if the user is a Doctor
Cloud Functions
Other GCP
Google Maps API
Bootstrap HTML/CSS/JS
Bootstrap Framework
Use of JQuery
Use of SmartForm for Contact
Frontend Framework
GitHub
File Management
Hosting
Node Js
Firebase Modules
Alan - A Smart Assistant that we have built for users to ask simple questions. See the video demo for more.
Challenges we ran into
There were many challenges we ran into, but that's what programming's all about. One of the difficult challenges we ran into was making sure the UI worked. Another challenge was figuring out how to to extract information from the JSON file to the website.
Accomplishments that we're proud of
We are proud of so many things. We made use of this project to the best of our abilities in this 24 Hours of time. We got to use the Google Cloud Platform, which is a first for all of us, we had never used GCP before and now we will continue to use this platform. Additionally, we combined all of our skills to create a website that use multiple frameworks and we are proud of this website. We love the UI/UX and we love the Backend, it was our first time as well using these frameworks. Finally, we are proud of the amount of work we pulled of in 24 hours. We would have never thought we could accmplish this much in such a small amount of time.
What we learned
Creating realtime databases
Firebase
User Authentication
What's next for DrFit
Implement Google Assistant instead of Alan (Wider range of possibilites)
Create a Watch Application (Apple watch and Galaxy Watch) to have realtime data about Vitals
Implement more Google Cloud Features including Tensorflow AI for medical classification and image classificatin to find various conditions
Implement a TeleHealth API platform for virtual doctor visits
Implement Echo AR for human body modeling
Implement a Covid-19 screener questionaire for the workplace and schools
Built With
alan
bootstrap
css
firebase
github
google-cloud
google-maps
html
javascript
Try it out
github.com
projects.invisionapp.com
Srikark-17.github.io | DRFIT | Empowering the unempowered (non-COVID population) | ['Srikar Kusumanchi', 'Mohinish Teja', 'RHEA S'] | [] | ['alan', 'bootstrap', 'css', 'firebase', 'github', 'google-cloud', 'google-maps', 'html', 'javascript'] | 23 |
10,509 | https://devpost.com/software/save-the-earth-m6ojru | Home Screen
Inspiration
This website was built using replit. It is a beginner website. Please learn and enjoy it. This is a very beginner site.
What it does
This site gives you information on the issue as well as multiple solutions.
How I built it
Challenges I ran into
I was having issues with the flexbox.
Accomplishments that I'm proud of
I created a navigation bar.
What I learned
I learned how to create a website!
What's next for Save the Earth
I will continue updating this and hopefully, as my skills improve the site's look will as well.
Built With
css
html
repl
Try it out
github.com | Save the Earth | Learn more about how there is still hope to save the Earth. Learn what you can do to make a difference. | ['Sonali Sharma'] | [] | ['css', 'html', 'repl'] | 24 |
10,509 | https://devpost.com/software/clean-water-detector-app-that-detects-cleanness-of-water | Instruction Screen
Home Screen
SINCE THE MODEL IS UNDER 1ST PHASE OF DEVELOPMENT PLEASE USE A WHITE SURFACE FOR KEEPING THE GLASS/BOTTLE SO THAT THE MODEL CAN PREDICT ACCURATE RESULTS
DOWNLOAD SAMPLE IMAGES FROM THIS LINK
link
DOWNLOAD APP FROM LINK AT BOTTOM
Inspiration
Dirty water is dangerous
In
Africa
, more than
315,000 children
die every year from diarrhoeal diseases caused by unsafe water and poor sanitation. Globally, deaths from diarrhoea caused by unclean drinking water are estimated at 502,000 each year, most of them of young children.
Every year
575,000 people
die from water related diseases. This is equivalent to a jumbo jet crashing every hour. Most of these people are children (2.2 million).
Unclean water and poor sanitation have claimed more lives over the past 100 years than any other cause. The water-crisis claims more lives through disease than any war through guns.
844 million
people lack access to safe drinking water. This is more than the combined populations of the United States, Brazil, Japan, Germany, France and Italy.
What it does
It basically calculates the cleanliness of the water with the help of its machine learning model that I made, It than shows the results indicating how clean or dirty the water is.
The Covid-19 Detector is a complementary thing that I added just to show the power and usefulness of AI. It is currently in the beta version.
How I built it
I built it using Flutter, with flutter I have the capability to create both iOS and Android apps at the same time hence making the availability vase. At the back-end I used Tensorflow lite, to give my app the capability to use machine learning models in offline modes. Model is made using Trainable Machine powered by google cloud.
Challenges I ran into
Being a solo developer I ran through many Challenges but I succeeded on my goals and I am happy to deliver this prototype on time.
Accomplishments that I'm proud of
I am really happy to contribute this project of mine for the entire people of the world so that they can have access to clean drinking water
What I learned
I learned a lot through out making this app as it was a really challenging task
What's next for Clean Water/Covid-19 Detector App
If everything is going good with this app I would really like to release this app to the entire population, but before that I would have to give some more minor improvements to this app.
Built With
flutter
google-cloud
tensorflow
Try it out
drive.google.com | Clean Water/Covid-19 Detector App : iOS/Android compatible | Powered by Tensorflow lite model made using google cloud Teachable machine, Can detect the % of cleanness and dirtiness of water by just an image from your phone(even without Internet)!! | ['Udipta Koushik Das'] | [] | ['flutter', 'google-cloud', 'tensorflow'] | 25 |
10,509 | https://devpost.com/software/paratus-bh6evr | Inspiration
As today's generation progress through the academic curriculum of school, the lack of knowledge regarding taxes, investment, and other essential financial decisions has become apparent. In order to present our peers with the opportunity to gain basic knowledge regarding finance, we have created this informative website/forum for teens to interact and learn.
What it does
This website provides students with basic information regarding taxes, investment, and managing one's money. It also creates a community of interested teens by allowing for individuals to comment/ask questions on the forum to gain knowledge.
How I built it
It was built with django, python, html, css, and javascript. We had a vision in mind of what we wanted our website to look like, and we were fairly inexperienced with the back-end coding, but through django libraries and online resources, we were able to quickly code this.
Challenges I ran into
Due to the short period of time, we had to work under immense stress to finish in time. Django was hard for us to understand at first, but this problem was easily solved through research and continual trial and error.
Accomplishments that I'm proud of
By creating this website, we can potentially give unprepared teens the opportunity to learn about the information that is essential to the maximum use of their money in the future. We can create a community for teens to learn, interact, and grow.
What I learned
I learned how to use django, work with a team, and work under a time crunch.
What's next for Paratus
The potential to touch up this code into a legitimate website is high, as this website could create an interconnected community of teens. Expanding this project by adding new information and additional forms of communication (including a potential video-calling feature) would allow for the impact of this project to be far greater.
Built With
css
django
html
javascript
python
Try it out
github.com | Paratus | Paratus: The Financial Guide for Teens. This informative community can be used by teens to interact with others seeking to prepare themselves for the world of basic finance management. | ['NikunjZamwar Zamwar', 'Rohan Phadke', 'Sami Ahmad', 'Mani Ganna'] | [] | ['css', 'django', 'html', 'javascript', 'python'] | 26 |
10,509 | https://devpost.com/software/coping-with-covid | Breathing exercise visual, block coding on Scratch (2)
Breathing exercise visual, block coding on Scratch (3)
Breathing exercise visual, block coding on Scratch (1)
Inspiration
The entire global dynamic has shifted because of COVID-19. There have been nearly 20 million confirmed COVID cases since the first outbreak; of those, over 12 million have recovered. I was inspired to help recovering COVID patients because my English teacher is currently in recovery, and a lot that she's been struggling with has to do with her mental health. I hope to ease this burden for current and future COVID patients through Coping with COVID.
What it does
Coping with COVID is an online website and repository of mental and respiratory health exercises. These include medically-acclaimed breathing exercises, mindful journaling prompts, weekly lifestyle quizzes, and a platform for community advice and therapy. It provides a safe space for recovering COVID patients to access resources and voice their thoughts.
How I built it
I built this website using the Wix website builder and editor. In order to code the animations for the breathing exercises, I used block coding, in Scratch.
Challenges I ran into
The main challenge that I ran into was getting the dynamic journaling page to work; since I was planning to set up a new prompt every day, I had to figure out how to automate that process so each day you log in, a new journal prompt is already waiting for you. There weren't many internet resources covering the topic, but through a pretty intense series of trial-and-error, I managed to figure it out.
Accomplishments that I'm proud of
I'm proud of creating my first website! I haven't ever built a website before, so this was a big step for me to take. Hopefully next I can learn a coding language or two ;)
What I learned
Computer science-wise, I learned a lot about setting up websites, from rich text editors to dynamic databases and everything in between. But I'm also glad that I had the opportunity to learn about different respiratory therapy techniques and mental health exercises.
What's next for Coping with COVID
I am planning to launch some social media accounts, namely on Facebook and Instagram, to develop a platform and connect with the individuals that require my services the most. If Coping with COVID ever gets big, I might host some virtual breathing events or mindfulness lectures for the community, so they have more resources and know that they aren't facing this alone.
Built With
wix
Try it out
copingwcovid.wixsite.com | Coping with COVID | Coping with COVID is an online repository of resources for recovering COVID patients. These resources include breathing exercises, mindful journal prompts, lifestyle quizzes, and community therapy. | [] | [] | ['wix'] | 27 |
10,509 | https://devpost.com/software/color-smile | Model is able to identify Taylor Swift after training. It uses the face API from Microsoft Azure cognitive services.
Initially model does not know the name. It "unknown" It is trained after this and Taylor will be assigned with an ID
Inspiration
I like learning about Machine Learning and how automation makes everything better! Along with this, I was learning about Cloud computing. I thought of using cloud features and building a ML model. I studied about API's, how one can use them in their project.
What it does
It captures your video from your webcam in real time and converts black and white video into color if you smile. Smile makes everything better!
How I built it
I used the face API from Microsoft Azure Cognitive Service and wrote the code in Python. I created 3 different files. First detects the person's face and displays a rectangle around it along with the emotion, gender and approximate age and name. Initially, name will be "unknown". Second one is used to train the model to identify person's name by giving it the appropriate data about the person. It then assigns an ID to the person to predict ones name. Third is the main part which uses OpenCV and captures your video in real time from your web cam. If the model is trained to identify your name, it will convert the black and white video running to color when you smile.
What I learned
Use of different Python modules and cognitive services from Microsoft Azure.
Built With
azure
python | Color Smile | Built a ML model using Microsoft Azure, Python. It detects smile in real-time using webcam, converts black and white video to color and displays the name of the person after training the model. | ['Kanish K'] | [] | ['azure', 'python'] | 28 |
10,509 | https://devpost.com/software/krishi-0w2i13 | This project was bootstrapped with
Create React App
.
Available Scripts
In the project directory, you can run:
npm start
Runs the app in the development mode.
Open
http://localhost:3000
to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.
npm test
Launches the test runner in the interactive watch mode.
See the section about
running tests
for more information.
npm run build
Builds the app for production to the
build
folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is ready to be deployed!
See the section about
deployment
for more information.
npm run eject
Note: this is a one-way operation. Once you
eject
, you can’t go back!
If you aren’t satisfied with the build tool and configuration choices, you can
eject
at any time. This command will remove the single build dependency from your project.
Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except
eject
will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.
You don’t have to ever use
eject
. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.
Learn More
You can learn more in the
Create React App documentation
.
To learn React, check out the
React documentation
.
Code Splitting
This section has moved here:
https://facebook.github.io/create-react-app/docs/code-splitting
Analyzing the Bundle Size
This section has moved here:
https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size
Making a Progressive Web App
This section has moved here:
https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app
Advanced Configuration
This section has moved here:
https://facebook.github.io/create-react-app/docs/advanced-configuration
Deployment
This section has moved here:
https://facebook.github.io/create-react-app/docs/deployment
npm run build
fails to minify
This section has moved here:
https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify
Built With
css
html
javascript
react
Try it out
github.com | krishi | It will allow a clear flow of communication, virtually handled so no corruption, omits middle men so farmers will be receiving their deserving price for the products, consumers get access to products | ['almuksid alamalvi', 'Raima Nawal', 'Sadman Chowdhury'] | [] | ['css', 'html', 'javascript', 'react'] | 29 |
10,509 | https://devpost.com/software/cov-urgency-263law | Masks in our website
More masks
Disinfectants in our website
home page
Android App Starting
Food Items-App
Fruits-App
Masks-App
Navigation Bar-App
Medicines-App
Inspiration
Due to the COVID-19 Pandemic, news channels begin to spread awareness to get some emergency products but due to lockdown in almost all countries, it became difficult for everyone to go out and buy themselves emergency goods. As food delivery apps/software collaborates with local restaurants to deliver food, the same way, we came up with an idea, following the same principle, to deliver needy products to the users! So, we decided to work on a website and an app that solves problems of many, also within a day.
What it does
COV-Urgency is an all-in-one emergency product delivery software that delivers needy products to the users. Some of its features are:
Delivers products within a day
Ensures safety when delivering product; zero contact delivery
Providing all the necessities asked by the user
How I built it
The website was created using bootstrap studio
MongoDB is used to store user data
Android app was made using Kodular
Used google as a source of images
Challenges I ran into
Different time zones: We have a completely diverse team. Teammates belonged to different time zones like IST and EST. It was hard to collaborate. So, we decided to divide work and asked to complete it at a given time and then the final product was combined at last. We also had some issues building our website as we did not know advanced HTML and CSS so it was a learning process throughout.
New to backend programming: we were new to backend programming, and we got to learn basic knowledge about backend and we hope we would learn more in the future.
Accomplishments that I'm proud of
Enhanced our skills with frontend programming
Tried Backend programming for the first time, I would love to learn more in backend and would try to implement in real-life projects
COV-Urgency may employ people from different parts of the world to deliver products.
COV-Urgency may increase the profit of local store owners by collaborating with them and by bringing their products online.
What I learned
Backend programming
Team Work
Got to know about people from different parts of the world.
Used MongoDB for the first time as a database
What's next for COV-Urgency
The website needs some improvements like UI improvement and backend fixes.
We would introduce iOS app for COV-Urgency so that more people can get the benefit.
We would try to Collaborate with some local stores so, we may implement the project in real life as soon as possible
We would try to employ people as much as possible so that it would we beneficial for society.
Built With
bootstrap
css
github
html
javascript
kodular
mongodb
php
python
sql
Try it out
github.com
keshavmajithia.github.io
drive.google.com
drive.google.com | COV-Urgency | All in one Emergency Products Delivery Store that Delivers products The Same Day! | ['Keshav Majithia', 'smriti sharma', 'Aanya P', 'Evan Wang'] | ['Best Business Potential- Clerky Lifetime package'] | ['bootstrap', 'css', 'github', 'html', 'javascript', 'kodular', 'mongodb', 'php', 'python', 'sql'] | 30 |
10,509 | https://devpost.com/software/liquay | Model of the Liquay
Inspiration
As I was relaxing at my desk, watching a youtube video on different Asian snacks, one part of the video got my attention. As the vlogger was talking about the mountain of snacks piled on the check out table, I noticed that instead of directly handing money to the cashier, he placed it on a tray. The cashier then took the money and placed some coins on that same try. Teeming with curiosity, I did a quick Google search.
What it does
The Liquay offers a place to put money so that the cashier and the customer don't need to directly touch each other to complete an in-person transaction. This system of putting money in trains originally comes from Japan, but I am just making my own version with a few changes due to the coronavirus. In addition, it's meant to be cleaned at the end of each day because of all the money that it touched.
How I built it
I first made a model of the tray in Autodesk Fusion 360, then I made a simple website to display some of the information about my project. Then after I made a presentation, I published it to youtube and began learning how to edit the video well.
Challenges I ran into
Since it's been a long time since I've used Autodesk Fusion 360, I had to relearn the basics and even some advanced techniques to bring out the best in the model. Plus, my computer's GUI isn't optimal for Fusion 360 so there was a plethora of crashes and problems that I ran into.
Accomplishments that I'm proud of
I'm proud of launching my first, complete, individual project on DevPost. Plus I'm really proud of relearning some design and implementation techniques in Autodesk Fusion 360.
What I learned
I learned about basic and advanced techniques in Autodesk Fusion 360. I learned how to solve some of the problems with my GUI and learned a little more deeply in Computer Hardware.
What's next for Liquay
All I'm really looking forward to do is to inspire someone more qualified to release products and hope that the community improves based of this idea. I just hope that the negative side effects of the coronavirus become alleviated thorough our hardwork and determination.
Built With
autodesk-fusion-360
css3
html5
javascript
w3s-css
Try it out
rashstha.netlify.app | Liquay | A CAD-Designed Cash Tray to leverage direct contact in places like stores | ['Rashmit Shrestha'] | [] | ['autodesk-fusion-360', 'css3', 'html5', 'javascript', 'w3s-css'] | 31 |
10,509 | https://devpost.com/software/rithink-renewable-energy | Bill
Inspiration
Entrepreneur
What it does
Creativity
How I built it
Networking
Challenges I ran into
Funding
Accomplishments that I'm proud of
Awareness
What I learned
Climate Change Adaptation and Mitigation
What's next for Rithink Renewable Energy
Good governance hence participatory democracy
Try it out
salamasafi.co.ke | Rithink Renewable Energy | Towards long term environmental friendly sustainable development techniques and foster strong link between private, public and entire community at large | ['Nandoya Ambaka Duncan'] | [] | [] | 32 |
10,509 | https://devpost.com/software/studyzen | Original protoype of the app which includes the opening screen, the study timer, and the calendar.
Original protoype of the app which includes the menu, the mark calculator, and the mood monitor.
The Welcome Screen
The Study Timer
The Calendar
Adding a new mood
Adding a new class
The app menu
Inspiration
Our inspiration was taken from our personal lives. As incoming university freshmen, we were able to reflect on our high school experience and think of what resources we wish we had. We all wanted a tool that could increase productivity and decrease the stress that can come from studying. As students, we know it can be difficult to keep track of everything going on in your life, so we created StudyZen.
What it does
StudyZen is an app which can help students increase their productivity! With features such as a study timer that encourages you to put down your phone, a mark calculator that tracks your grades, and a mood monitor that strengthens gratitude, StudyZen is a convenient tool for helping students stay positive and productive!
How we built it
StudyZen was built using Swift and Xcode to create an iOS app.
Challenges we ran into
Our biggest challenge was learning how to work together to create an app using Swift. Many of us had prior experience with Swift, but had never created a larger-scale project using the language. We ran into issues linking GitHub and Xcode. Additionally, we struggled with not being able to implement many features we intended to, such as a grade calculator.
Accomplishments that we’re proud of
Our greatest accomplishment was that we were able to collaborate efficiently. We were able to easily separate our project into 4 parts - one for each of us to add our own personal touches! In working on our own section, we were able to avoid merge conflicts. We are also proud of our adaptability. As we faced many challenges, we were able to get past them by coming up with new solutions along the way.
What we learned
We learned how to use Xcode to create an iOS app through SwiftUI and Storyboards.
What’s next for StudyZen
In the future, we aim to implement more features where the user can customize the app to their preferences. For example, a feature in which users can add their activities to the mood monitor, so our app can track which activities correlate to a positive mood. We would also like to implement a feature which can predict a final grade, based on the user’s study habits and trends in their grades. Our next big step would be further developing Studyzen using Android Studio so it can be used on Android devices, so everyone can access this valuable productivity tool!
Built With
swift
xcode
Try it out
github.com | StudyZen | Manage Time, Manage Everything | ['Angela Zhou', 'Denise Albeanu', 'Neha Padala', 'Angela Du'] | [] | ['swift', 'xcode'] | 33 |
10,509 | https://devpost.com/software/coachally-interactive-virtual-classroom-video-calling-app | Assist feature
CoachAlly Home page
User's can easily seek guidance , report bugs
Seek guidance with in-app screenshot&doodle feature instantly
Video Call
AR Classroom
Broadcast Mode
Inspiration
During these pandemic days, our team too are facing issues while learning through online portals. So our team took a
step forward in resolving the common issues and further improvising it.
What it does
CoachAlly application helps in creating interactive virtual classrooms using the latest technologies like
Augmented Reality
and creates room for the virtual classroom through
high-quality video calling
with a low-latency experience.
Augmented reality in education is surging in popularity in schools worldwide. Through AR, educators are able to improve learning outcomes through increased engagement and interactivity.AR features aspects that enhance the learning of abilities like problem-solving, collaboration, and creation to better prepare students for the future. Teachers can include custom AR objects and pre-recorded lecture videos which help students view course materials at the ease of their home.
Live sessions can be held virtually through the class meet option. We have designed a one-step join meeting keeping in mind of young students. App seeks only the meet code and doesn't collect other credentials thus improvising the privacy of end-user.
We have also integrated an
ASSIST
feature which guides the users step-by-step if they either need a walkthrough on a feature or if they encounter a bug. Our main advantage of this feature allows users can make use of an in-app screenshot feature with a doodle option on board with ease to contact the admin/developer hassle-free.
How I built it
Came across the
Flutter
technology recently and since then was caught up with it. We are
amateurs
and this is our first big step upfront on solving the problem with it.
We have approached our problem with Flutter which makes the app run natively on all platforms. The UI is made with help of google's material UI. The video call runs seamlessly with the help of agora as backend. The feedbacks, assist is done with the help of wiredash which provides instant messages which the end-users provide.
Would thank our sponsor echo-AR which helped us integrate AR seamlessly with our app.
CoachAlly is a light-weight app which is available across various platforms
-
Mobile platforms- IOS, Android
Desktop app-MacOs, Windows, Linux
Web app- Across all browsers
Challenges I ran into
We came across many challenges as this our first big approach using Flutter. We thank the mentors who took the time to help us. Students get insights on concepts& better understanding with AR & am proud to be a part to contribute to the global community.
Accomplishments that I'm proud of
We are very proud of the big leap which we dared to attempt has come out a bug-free working app in a short span of hours.Have learned many skills way from starting of the Hack. We learned to face the challenge by short days to give the best outcome of our app.
What's next for CoachAlly -Interactive Virtual Classroom & Video Calling app
We aim to increase security and add feature-rich contents and make our app more accessible to all age groups.We plan to improvise our app consistently for best end user satisfaction.
Built With
agora
ar
cupertino-ios
dart
echoar
flutter
materialui
Try it out
github.com | CoachAlly -Interactive AR Virtual Classroom & Video Call app | CoachAlly application helps in creating interactive virtual classrooms using the latest technologies like Augmented Reality and creates room for the virtual classroom through high-quality video calls. | ['Sudir Krishnaa RS'] | [] | ['agora', 'ar', 'cupertino-ios', 'dart', 'echoar', 'flutter', 'materialui'] | 34 |
10,509 | https://devpost.com/software/eagle-sight-cbny23 | This is a cool website.
Try it out.
Built With
css3
html5
Try it out
www.eaglesight.tech | Eagle Sight | Cool Eye checking game. | ['Senuka Rathnayake'] | [] | ['css3', 'html5'] | 35 |
10,509 | https://devpost.com/software/is-my-food-ready-uj69ev | Inspiration
One of our team members recently picked up an online order from a local restaurant (Armadillo Willy's). He was surprised to see they were using a white board to list when orders were ready! The same day he walked by a different restaurant which was using an Excel spreadsheet to tell customers when their orders were complete!
While both of these are creative solutions in the face of this global challenge, we thought it showed that there was a lack of a cheap/easy to use order status software.
There is also a fundamental accessibility problem that has arisen as a result of the sudden reliance on online pickup. Visual information such as TVs or white boards is exclusionary towards blind people and those with vision loss. Audio only notices such as an employee shouting order numbers is exclusionary towards the deaf and hard of hearing.
"Is My Food Ready?" seeks to solve both these critical accessibility issues and help make managing online orders and takeaway easier than ever for small businesses. Through this we hope to make social distancing smooth and the quarantine a bit more smooth.
What it does
Our project acts as a standalone PWA enabling small businesses without the large resources of corporate chains to have a competitive order readiness software.
The business owner/manager first goes to our sign up page and enters some info about their store, while also listing their employees email addresses.
These employees can then login using google to access our employee dashboard. Here you can either manage orders, or access the customer facing display screen (intended to be put on a TV).
In the order management screen employees can enter information about an order, including the customer's phone number. When the customer's order is ready, they will receive a text!
The employee is able to mark orders as "Ready" once they are cooked. This will display on the TV view, customer's phone, and send them a text. Once the customer picks up their order, the employees can "Complete" the order, thus removing it from the screens.
The customer is also able to enter their order number to view information about their order on their own phones.
The TV view lists the status of all orders in the system. Whenever an order is ready the order number is read out-loud to help those with visual impairments.
How I built it
We built our project as a PWA using react.js. Firebase acts as our back-end, storing restaurant and order data. We used the Twilio API to text customers when their order is ready.
Challenges I ran into
Power outages! Several of our team members are from California, and are thus enduring rolling blackouts.... Despite randomly losing team members for hours at a time, we were able to complete the project!
We struggled a lot with the front end since none of us are really front-end/UI focused developers. This however was a really good learning experience, and helped broaden our capabilities as programmers.
Fonts... For some reason it was a nightmare importing custom fonts into react.js. Thankfully we eventually figured it out, but it took a lot more experimentation than we ever expected.
Accomplishments that I'm proud of
We managed to get out project to complete functionality by the end of the Hackathon. We've each participated in a few blackthorns before, but often only end up with a partially completed project or bare minimum functionality. We were really happy therefore to have something nearly ready for production. There are of course features to add (as we'll detail later) but we were able to realize much more of our scope than before
Accessibility Improvements! We were really happy that we were able to build some solid accessibility improvements into our app. Massive corporations with very expensive custom POS systems still often fail to have things like Audible readouts or display boards, so being able to build something that helps those with disabilities was awesome!
We were really happy that we were able to have the status updates be texted to our customers. We think this is a great feature that plenty of the large chains don't even have.
What I learned
A lot more about remote work! All of us are in different towns right now, with 1000's of miles separating some of us. This was a very useful venture into learning a lot of the remote work tools out there.
Accessibility. We always try to think about ways our apps can be accessible, but since it was a core focus of this project we learned even more.
We learned a lot about front end/styling work in react.js. Most of us are back-end focused so this helped expand our expertise and make us better developers.
React! Some of us are very experienced in React by now, but for others it was one of their first big projects in the framework. Its a very useful framework so was helpful to get further experience for all of our team members.
What's next for Is My Food Ready?
Customization options for businesses. We want to let businesses customize the appearance of their order/TV pages to better convey their brands. Allowing companies to upload their own photos would also be very cool.
GPS detection of which stores/restaurants you're near.
QR code functionality, so that a customer can scan a QR code to find the status of their order.
Estimated wait time, automate purging of old orders.
Integrations into POS systems/ability to actually submit/revise orders.
Built With
css
firebase
gcp
html
javascript
material-ui
react
twilio
Try it out
github.com
is-order-ready.web.app | Is My Food Ready? | Order Status platform designed to help small businesses with acessibility and social distancing. | ['Alan Brilliant', 'Ray Altenberg', 'Farhan Saeed', 'Bryan Lim', 'Drew Ehrlich'] | [] | ['css', 'firebase', 'gcp', 'html', 'javascript', 'material-ui', 'react', 'twilio'] | 36 |
10,509 | https://devpost.com/software/rantangin | Inspiration
Inspired by one of the gojek services, gofood, which serves a wide variety of foods and drinks. But what makes the difference with rantangin is home cooking that is certainly healthy, full, and full. There is a halal label for Muslims.
What it does
connecting for anyone who wants to sell their food and drinks with rantangin. especially women, namely empower women
How we built it
Using php native with css, bootstrap, jquery, etc
Challenges we ran into
connecting with google map api is difficult
Accomplishments that we're proud of
Working Location-Based Service Scalability Working App
What we learned
Build an app in a short time Practical Cool API
What's next for Rantangin
release app mobile android and ios
Built With
bootstrap
css3
html5
jquery
php
Try it out
xhandar.xyz | Rantangin | Full, healthy and delicious | ['Hamdani Santoso', 'Al Bahzaa', 'Riyan Sanjay', 'Wahyu Hidayah', 'Dimas Eka W'] | [] | ['bootstrap', 'css3', 'html5', 'jquery', 'php'] | 37 |
10,509 | https://devpost.com/software/describer | Inspiration
We had a lot of inspiration while creating this app. Being blind is a very big disability that affects around 39 million people around the world. Our team knows that these people have trouble identifying items and so that is why we built Describer. With Describer blind people or even the visually impaired do not need to struggle to identify an item any more.
What it does
Describer is very simple, The person simply goes on the app and clicks a button while their phone is pointed at something. The camera will take an image and then will label the objects found in the image and then the text is turned into an audio output. If there is text that is found in the image it will ask the user if they would like to hear the text in the image. If they choose to hear the text it will provide the text as an audio output. The app also has a very simple, easy to use UI which allows it to be great for the users it is directed at. This makes it much easier for someone who is visually impaired to identify anything.
How we built it
We built it in Android Studio, with the main language as kotlin and the UI with XML and we also used Google-Vision-API from the Firebase ML Kit. Having a Cloud API allows better image labelling compared to an On Device ML kit.
Accomplishments that we're proud of
We are very proud to be able to use a Cloud API, and that too from Google. We are also so happy that we were able to make something that could help so many people around the world that have to face the problem of being visually impaired.
What winning this hackathon means to us
Winning this hackathon means a lot to our team. Firstly it gives us motivation to keep working hard and to keep on creating applications that people can benefit from. Winning this hackathon can also encourage younger audiences because the devolpers for Describer are only teens. This can motivate them to learn to program at a young age and to create applications that can help shape the future. This is what winning means to us.
What we learned
Through this hackathon we learned soooooo much. It was our first time using an api from the cloud. In the making of the project we had to read the docs for the Google-Vision-API and watch videos about it. We also used the wonderkiln CameraView to display the camera preview on the screen, in case anyone else wants to use the app, and to capture an image from the camera. Also we were able to do text to speech, for taking the labels from the image and saying it aloud, and speech to text when asking if they would like to listen to the text.
What's next for Describer
Our team is hoping to get Describer on the app store in the near future so that people from around the world can benefit from it. We are also planning to make more features in it like customizing the voice, offline access which would use Google's ML Kit on device, and add face recognition.
Built With
google-vision
kotlin
xml
Try it out
github.com | Describer | Describer is an app that allows describes items when a photo is taken for blind people. | ['markanthonyantao@gmail.com', 'Mark Antao', 'sinha.anshul1@gmail.com', 'Anshul Sinha', 'Cyra Alesha'] | [] | ['google-vision', 'kotlin', 'xml'] | 38 |
10,509 | https://devpost.com/software/smarttracker-covid19 | Inspiration :
Now a days whole world facing the novel Corona Virus, to track the spread of novel Corona Virus country-wise, details of confirmed cases, deaths and Recovered, awareness regarding COVID-19. This Android app was created to spread awareness about the covid -19 virus.
What it does :
The Android app named as ‘SmartTracker-Covid-19’ created to spread awareness about the COVID -19 virus. App includes following functionalities:
CoronaEx Section -
This section having following sub components:
• News tab: Having latest new updates. Fake news seems to be spreading just as fast as the virus but as we have integrated from official sources so everyone will be aware from fake news.
• World Statistic tab: Real-time Dashboard that tracks the recent cases of covid-19 across the world.
• India Statistic tab: Coronavirus cases across different states in India with relevant death and recovered cases.
• Prevention tab: Some Prevention to be carried out in order to defeat corona.
CoronaQuiz section - quiz that will help people know about the Corona virus and its effects on human body. It chooses random questions and show the correct answer for the questions and at the end user will get to know their highest score.
Helpline Section - As this application particularly made for Indian citizen to use, all state helpline number of India included.
Chatbot Section - A self-assisted bot made for the people navigate corona virus situation.
Common Questions: Start screening,what is COVID-19? , What are the symptoms?
How we built it :
We built with using Android studio. For the quiz section we have used sqlite database and live news data we have integrated from the News API. For the coronavirus statistic we have collected data from worldometer and coronameter.
Challenges we ran into :
At time of integrating the chatbot in application.
Accomplishments that we're proud of :
Though , It was the first attempt to create chatbot.we have tried to up our level at some extent.
What's next for SmartTracker-COVID19 :
For the better conversation we will be looking to work more on chatbot.
Built With
android-studio
chatbot
java
news
quiz
sqlite
Try it out
github.com | SmartTracker-COVID-19 | Android app to track the spread of Corona Virus (COVID-19). | ['Pramod Paratabadi', 'Supriya Shivanand Madiwal .'] | ['Best Use of Microsoft Azure'] | ['android-studio', 'chatbot', 'java', 'news', 'quiz', 'sqlite'] | 39 |
10,509 | https://devpost.com/software/healthrific-your-health-pal | todo
Built With
bluetooth
dart
flutter
Try it out
tiny.cc
github.com | na | no | ['Anubhav Sinha'] | [] | ['bluetooth', 'dart', 'flutter'] | 40 |
10,509 | https://devpost.com/software/insight-dkvaju | The official Insight logo
The official Team Yes logo
Insight
Developed by: Team Yes
Created by: Adrien Bekker and Vijay Sreenivasan
Inspiration
We were inspired by the variety of news sources, and we wanted to create an application which avoids bias and covers a wide range of topics. As a result, we decided to create Insight, an app that allows the user to choose an article based on what subject they want.
Features
We divided our app into four sections: General, Positivity, Science and Technology, Entertainment.
Learning and Building
We learned how to use Selenium to webscrape news articles, create a Python API, build a React-Native GUI, and connect a Python back-end to a React-Native front-end. All of the webscraping is done in Python and it uses a tool called Selenium, which provides a library for webscraping. The application Postman was used to test the webscraping API before it was connected to the front-end. The front-end was created using React-Native and Expo.io. We used Snack and Visual Studio Code for development.
Challenges
Early in development, we had trouble connecting the front-end and back-end. This is because the fetch() function in React-Native was running asynchronously, so the program would not wait to receive the webscraped articles from the Python code. We fixed this by created an asynchronous function and creating a state function to check whether or not all of the components were scraped yet.
Built With
expo.io
javascript
python
react-native
selenium
Try it out
github.com | Insight | Simple to use with all your news | ['Adrien Bekker', 'Vijay Sreenivasan'] | [] | ['expo.io', 'javascript', 'python', 'react-native', 'selenium'] | 41 |
10,509 | https://devpost.com/software/travelgram | Edit your profile
Real time notifications
Uploading image (either through gallery or camera)
Profile Page
Remove post at any time
PS - Not given any Github repo since no one will be able to run the app because it is secured with SHA1 key and SHA256 key (both keys are used and one of them is mandatory to use in Firebase) which is unique for every system.
Inspiration
I love traveling and always looked at photos of different journeys, shared it on social media but couldn't reach the travel enthusiasts who would understand the pics. So, always wanted to make a specific app for travel lovers where they can just share and check traveling related photos.
What it does
Unlike most of the social media platforms where one can post any image, the app specifically focuses on the travel pics of a person. User can change their name and thus, it is impossible for anyone to look for the real person. It doesn't have any messaging feature which saves the users time and any unwanted questions. So, the user can post whatever they think without any second thought.
How I built it
I build it with love using Flutter, Firebase, and a lot of hard work!
Challenges I ran into
I ran into numerous challenges from uploading pics to handling timeline and making users followers and following. I had very less knowledge of Firebase, so, it was a challenge in itself to connect everything (posts, followers, following, likes, and comments for a post) for a single user.
Accomplishments that I'm proud of
I have worked day and night to make this app. I encountered various moments when things were not going as planned. I was almost about to give up but the never giving up attitude helped me in finally making this dream app of mine into reality which I am most proud of.
What I learned
I have learned various concepts of Flutter and especially of Firebase while making this app.
What's next for TravelGram
I'll try to add more features and will make it more user friendly for users who will use it.
Apart from this maybe Travelgram will help me win this hackathon which will give me immense confidence and encouragement to build it to a new level 😆
Built With
firebase
flutter | TravelGram | Travel, inspire others and enjoy the nostalgia of your journeys | ['Nikhil Sukhani'] | [] | ['firebase', 'flutter'] | 42 |
10,509 | https://devpost.com/software/project-padhai | Inspiration
What it does
An ecosytem where educators will upload videos of themselves teaching and everytime a new user registers on this ecosystem, he/she will get one course free. After that, they will have to buy it using their credit score.
In order to evaluate a student, Each course will be followed up a bunch of quizzes, some assignments and a major/minor project, the score on these assignments, projects and quizzes will give them credit score accordingly.
There would also be an extra forum and discussions page , where our mentors as well as fellow learners will form a community in order to answer and solve queries of students. Each and everyone could give contribution here.
After every evaluation, a student will get certain amount of credit score which will decide weather he/she can get enrolled into next course or he/she will have to shed some money from their own pocket.
A big pro of using this feature is that it will encourage every student to score good so that they can get maximum amount of discount on the next course they want to get enrolled into.
How I built it
The frontend part is completed and for backend i am still learning backend and databse.
Challenges I ran into
The backend part was a challenge and then to collect or make a community of people who are willing to become mentor or upload videos on this platform.
Accomplishments that I'm proud of
If it gets successful then i will really be proud of giving free education or education at very low cost, also on my platform everyone will get a chance to become mentor .
What I learned
Backend part, i had previouslty worked with frontend but working on backend was new to me.
What's next for Project Padhai
Making this idea successful, collecting more people, making this community of project padhai even bigger.
Built With
bootstrap
css
firebase
html
javascript
mongodb
node.js
react
sass
Try it out
github.com | Project Padhai | To make an educational portal which will help both teachers aswell as students.A global educational platform where everyone will get equal chance to become a teacher and student with a forum for help. | ['Ayush Bajpai'] | [] | ['bootstrap', 'css', 'firebase', 'html', 'javascript', 'mongodb', 'node.js', 'react', 'sass'] | 43 |
10,511 | https://devpost.com/software/coradicator | GIF
GIF
The 3D layout of the bot.
Our Apps
Our Bot
Coradicator
A smart robot that is built with UV-C lights to eradicate the coronavirus laying around.
Introduction
Coradicator is a room disinfection device based on Ultraviolet-C radiation. It offers the capacity to be remotely programmed using an Android mobile device and it has an infrared detection security system that turns off the system when triggered.
The system here described is easily scalable to generate higher ultraviolet dosages adding more UV-C lamps. This device has very high effectiveness to eliminate high bacterial inocula
The sanitizing method employed by this device affects a very wide range of microorganisms and it has several advantages of respect to chemical based-sanitizing methods
This device represents a secure, fast, and automatized equipment for room disinfecting. The device is configured in less than three minutes and it does not require continuous monitoring.
Theory
Since the last years, mobile systems based on UV-C radiation have been used for cleaning and disinfecting hospitals. The contribution of this equipment to the conditioning of hospital areas makes these systems useful for other kinds of spaces that require periodical disinfecting.
UV-C radiation inactivates microorganisms causing DNA damage by producing cyclobutane pyrimidine dimers (CPDs), altering DNA structure, and thus interfering with DNA replication.
According to the World Health Organization Global Solar UV Index, the UV region covers the wavelength range from 100 to 400 nm and is divided into three bands:
UV-A (315–400 nm)
UV-B (280–315 nm)
UV-C (100–280 nm)
UV-C light, which is absorbed by the atmosphere, represents the most lethal wavelength for a wide spectrum of microorganisms. The maximum germicidal power of the ultraviolet radiation is at wavelengths near 260 nm and it drops dramatically below 230 or above 300 nm.
Hardware Description
We have constructed a UV-C radiator device that includes a microcontroller board, an Arduino UNO board.
For controlling the robot and the UV lights we are using the Bluetooth module HC06.
For live camera feedback to the controller, we are using the ESP32 Camera Board to get the live video feedback so that we can control it outside the room.
In addition, the equipment can be operated from a wide range of Android mobile devices with suitable screens and processing capacity (tablet, cell phone, etc), taking advantage of the ubiquity of these devices, and lowering the cost of its construction.
Build of the UV-Bot
The construction of the device involved three stages:
Structural building
Electronic assembling
Programming of the microcontroller and the mobile application
The scaffold structure was made by attaching to a central column four holders for UV-C germicide lamps, connected in parallel. The central column was placed on the bot which has four wheels for locomotion.
The control unit is based on an Arduino UNO board; this gives the order to the switch to turn on the UV-C lamps using an electromechanical relay. An HCO6 Bluetooth module is used to communicate with the board using Bluetooth devices.
Three LEDs were installed to indicate its functional estate:
Connected to the electric supply (green LED)
Bluetooth connection established (blue LED)
UV-C lamps activated (red LED)
The red LED is combined with a passive buzzer to start a warning sequence just before the activation of the UV-C lamps. Because the UV-C radiation is harmful to humans, a PIR sensor was added as a security measure. In this way, the device is automatically turned off when a user is near.
The ESP32 Camera is attached to the front part of the robot which will send the realtime live video to the controlling app so that the person who will be controlling the bot.
Finally, a mobile application was developed to control the disinfecting unit.
This app was designed using the MIT app inventor 2 tools.
The interface of this application is used for connection to the device via Bluetooth, and for controlling the robot wirelessly.
The Robot
Working
The dosage values can be used to estimate the required exposure time according to the following simplified method:
The UV-C dosage received by surface unit (D, expressed in J/cm2) at a given distance (r) from the sanitizer, depends on the power of the emitted UV-C light (P, equal to 48W for our device) according to this equation:
D = (P.t) / (2π.L.r)
Where L is the length of the UV-C lamps (89 cm) and t is the exposure time expressed in seconds.
Based on this equation, the exposure time can be calculated as follows:
t = (2π.L.r.D) / P
Using this method, a tool to estimate the minimum exposure time to reach the desired dosage for a certain distance from the device was developed and is available in the initial screen of the app controlling the device.
The Schematics for the UV Light
Now coming to the driving part.
The driving is done through the mobile app through Bluetooth. The realtime video helps the driver to control the bot from another room so that UV rays will not harm him.
Further, we are planning to make the bot completely autonomous using ROS.
The Schematics of the Bluetooth Control
The Controlling App
Conclusion
A UV-C room disinfection device was made with similar functions to proprietary commercial systems. The presented model can be easily scaled up, modifying its structure (adding more UV-C lamps) and programming (editing the open-source code of the Arduino board and/or of the Android application), achieving savings for more than 80% respect to the price of similar proprietary commercial equipment
Resources
Full Video:
Click Here
Short Video:
Click Here
Documentation:
Click Here
Presentation:
Click Here
UV Light App:
Click Here
Controlling App:
Click Here
Built With
arduino
c++
mit-app-inventor
Try it out
piysocial-india.github.io
github.com
github.com
github.com | Coradicator | Corona + Eradicate = Coradicator ! | ['Saswat Samal', 'Saswat Mohanty', 'PIYSocial', 'Sanket Sanjeeb Pattanaik'] | ['3rd Place Overall', 'Best Design'] | ['arduino', 'c++', 'mit-app-inventor'] | 0 |
10,511 | https://devpost.com/software/i-created-an-a-i-to-destroy-tic-tac-toe | Tic Tac Toe AI
In this personal project, I designed an AI to learn how to play the popular game Tic Tac Toe without any humans teaching it.
This project has two primary components: Building the Tic Tac Toe game and adding the Tic Tac Toe AI
Play/Train The AI
https://myworldrules.github.io/TicTacToeAI/
Playing the Game
Initially, the AI is in generation 0, meaning the AI will just randomly move around.
To place a piece, simply click on any open spot.
To train the AI, click on
Train A.I.
During this period, you will not be able to place a piece on the board.
To stop training the AI, click on
Play A.I.
To reset the current game, click on
Reset Game
To view the Q-Table values, click on
Show Values
Building the Tic Tac Toe Game
Why I didn't use Pygame
In my Blackjack AI project, I used Pygame with Python. That implementation has a few major issues, the primary issue is that the application can't be deployed online. The only way one can play that is to download the code. The second issue is that Pygame is slow and clunky, which leads to longer AI train times.
Why I used Javascript
I decided to use JavaScript over Pygame for the primary reason, that it can be deployed online. This makes the game more accessible. JavaScript is also much faster than Pygame, which resulted in faster training times.
AI Learning Progression
The longer the AI trains for, the better it becomes. Generally, after the AI has trained for 10,000 games it becomes near impossible to beat the AI.
How to AI Learns
The AI uses the Sarsamax (Q-learning) algorithm. After every move the AI makes, it updates its Q-table on how good that move is. The more games played, the better it is at valuing each board layout and each move on a board.
Built With
javascript
q-learning
Try it out
myworldrules.github.io | I Created An A.I. to DESTROY Tic-Tac-Toe | I used Q-Learning to create a Tic Tac Toe A.I. that never looses. | ['Tarun Ravi'] | ['Best game'] | ['javascript', 'q-learning'] | 1 |
10,511 | https://devpost.com/software/maskvi | MaskVi
Demo Screenshot
Demo Video
https://youtu.be/S0bw1w5RFR0
PLEASE NOTE BEFORE RUNNING PROGRAM
Please use OpenCV 3.x.x
.
This is because one of the classifiers is not compatible with the newer versions. Thank you!
Inspiration
We took inspiration from general facial recognition practices in computer science. By utilizing standard OpenCV feature detection, we were able to detect whether or not someone is wearing a mask based on what facial features the computer is able to detect.
What it does
Our software uses concepts from standard feature detection algorithms to try and find particular features that are indicative of whether one is wearing a mask or not. It firstly looks for the eyes in order to determine if a person is there or not. If it is able to find the eyes, it then looks for the mouth of the individual. If it is able to find a mouth, the software knows you are not wearing a mask and returns that no mask is present. However, if it is unable to find a mouth, it means that something is covering it and hence, assumes that you are wearing a mask and returns this.
How I built it
We created a simple feature detection program in Python using the OpenCV library and the
Haar Cascade classifiers
. The program uses a webcam to analyse each frame and identify various facial features (the eyes and mouth). Based on what facial features are detected, an output of whether or not a person is wearing a mask is returned in real time.
Challenges I ran into
One of the classifiers did not seem to work with the newer versions of OpenCV. We tried to get it to work but ended up deciding it was not worth the time and just used an older version of OpenCV.
What I learned
I was able to refine my knowledge of the OpenCV library.
Built With
opencv
python
Try it out
github.com | MaskVi | An OpenCV software which automatically detect if an individual is wearing a mask or not | ['Jeremy Jun-Ping Bird', 'Joshua Bird'] | ['Best App'] | ['opencv', 'python'] | 2 |
10,511 | https://devpost.com/software/kbc | Starting page
Home page
Instructions
Questions
Audience Poll
Phone a friend
50-50
Inspiration
I have always wanted to make this game since it's so fascinating to play a real experience KBC game with lifelines and test my knowledge.
What it does
It's a KBC game application with text to speech feature and with four lifelines audience poll, phone a friend, 50-50, flip the question. This game consists of technical questions.
Challenges I ran into
Implementing the lifeline part was time-consuming.
Theme
Gaming
Built With
android-studio
dart
flutter | KBC | Vishwas hai to us par khade raho #AdeRaho! Try your luck with this amazing game🤟🏻 | ['Simran Srivastava', 'Sneha Gupta'] | [] | ['android-studio', 'dart', 'flutter'] | 3 |
10,511 | https://devpost.com/software/healthrific | Contact free basin modified design
Actual picture of Basin
Actual hardware pic
SignIn page
SignUp page
Forgot Password page
Kiosk Test
Self Assessment Test
Covid 19 Updates
Health Tips
Results of Self assessment test
UV-C
todo
Built With
bluetooth
dart
firebase
flutter
Try it out
github.com
docs.google.com
drive.google.com | no | na | ['Haripriya Baskaran', 'Mohammed Mohsin'] | ['Script Foundation: Best Healthcare Solution'] | ['bluetooth', 'dart', 'firebase', 'flutter'] | 4 |
10,511 | https://devpost.com/software/covid19-bedchecker-mfhlv2 | landing page
signup
portal
Inspiration
We felt the difficulty covid19 patients face as they have to visit to hospital to check whether any bed is vacant in the hospital, if there's nil then the patient has to reach another hospital which creates problem for patients as well as hospital staffs.
What it does
Our web application allows hospital management to directly feed number of beds available and it is being added dynamically into the map. Patient can access this map to see the availabilty of beds in his/her region as well as get directions to the hospital.
How we built it
We used Bootstrap for front end and php for backend and ms-sql for database. We used python and jquery for chatbot. We used pandas streamlit for creating maps and displaying values.
Challenges we ran into
Hosting our data science web app was a bit tedious for ous.
Accomplishments that we're proud of
User can zoom in till he/she sees every streets and the hospital name and number of beds available and availabilty of ventilators.
What we learned
We learned new python libraries that we are looking forward to implement in future as well.
What's next for Covid19 BedChecker
Tying up with hospitals to get real time data, instead of a data set.
Built With
chatbot
css
html
jquery
pandas
php
sql
streamlit
Try it out
github.com
apexxcovid19999-com.stackstaging.com | Covid19 BedChecker | Through our web app a patient can check the availabilty of number of beds availabe for covid patients along with exact location and can filter out the hospitals containing ventilator options. | ['Amit Singh', 'PRAKASH SINGH'] | [] | ['chatbot', 'css', 'html', 'jquery', 'pandas', 'php', 'sql', 'streamlit'] | 5 |
10,511 | https://devpost.com/software/aashray | Project | a | a | [] | [] | [] | 6 |
10,511 | https://devpost.com/software/instant-messaging | Signup
Video call
Homepage
Inspiration
Various organisations are struggling to work together due to work from home norms. Due to lack of communication the projects were being getting late. Also family relations were being affected due to Covid19.
What it does
It bridges the communication gap that occured in the community due to the pandemic through chat/call/video-call.
How we built it
We used HTML CSS JS for Frontend and PHP MYSQL APIs for back-end. Python JS For Chatbot.
Challenges we ran into
As our team members were working remotely we were unable to help each other out efficiently. Also we had some problem while setting up video call feature.
Accomplishments that we're proud of
Video-call/Voice-call/Attractive UI/Instant Chats
What we learned
We learned the concepts of communication and network engineering.
What's next for Instant Messaging
We'll upgrade our databases to more efficient hosting service.
Built With
bootstrap
css3
html5
javascript
mysql
php5
python
Try it out
github.com
instantchat.epizy.com | Instant Messaging | During Covid19 communication gap between family members as well as between office employees has been affected considerably. We have created a website which reduces this problem. | ['Amit Singh', 'Shubham Nagpal', 'Prakash Rajpurohit', 'Greeshma Satheesh'] | [] | ['bootstrap', 'css3', 'html5', 'javascript', 'mysql', 'php5', 'python'] | 7 |
10,511 | https://devpost.com/software/dermi | Dermi focuses on helping the community by having
early diagnosis
of skin diseases so that treatment can happen sooner, reducing deaths, and it is less expensive (reducing the burden on systems such as Medicare).
Inspiration
Many die and become disabled every year from skin diseases. If early detection can solve the issue, we need to make it more available. I aim to do that using deep learning.
What it does
Suggests skin disease from image.
How I built it
First I collected a dataset using a web scraper. Then I created a ResNet50 model using Pytorch..
Afterwards, I created a Flask server for inference and used Ngrok to make it publicly available.
Created an Android app using Kotlin and Room for on-device database.
Note: long press on a diagnosis allows you to delete it.
Accomplishments that I'm proud of
I am proud of the application and the speed at which I built it.
What I learned
Learning how to create a ngrok server on Colab itself.
What's next for Dermi
Larger dataset
Using several models to be able to create the most accurate diagnosis.
The current app uses 1 model, however, I previously created another model with another dataset, which I chose not to use for this hackathon due to the time restriction.
Using other available datasets (this app can integrate with other models, making it extensible)
iOS application
Built With
android
fast.ai
kotlin
pytorch
room
Try it out
github.com | Dermi (rash edition) | Simple but powerful skin rash classifier. | ['Vijay Daita'] | [] | ['android', 'fast.ai', 'kotlin', 'pytorch', 'room'] | 8 |
10,511 | https://devpost.com/software/c-care | When our app worked, Satisfied
Inspiration
During this current COVID 19 pandemic, I see health worker is curing the patients, doctors are innovating new medicine, the police is controlling the crowd movement and even bus drivers are helping people to get back to home. As a future engineer, I felt like my contribution is none, so I felt motivated to do my part and try to bring a positive change and to make sure my product can also be used in a future pandemic.
problem our project solves
Offices and workplaces are opening up and as the lockdown loosen we have to get back to work, but there is a massive possibility that infection can spread in our workplace as, When a person is infected he can be asymptomatic for up to 21 days and still be contagious, so the only way to contain the spread is by wearing a mask and maintaining hand hygiene. WHO and CDC report said that if everyone wears a mask and maintains hygiene then the number of cases can be reduced three folds. But HOW we will do that? , How can we make ever one habituated to the following safety precaution so the normalization can take place. So we have come up with a solution called C-CARE 1st ever preventive habit maker that will bring a positive change.
What our project does
Our app is 1st of its kind safety awareness system, which works on google geofencing API, in which it creates a geofence around the user home location and whenever the user leaves home, he will get a notification in the C-CARE app ( ' WEAR MASK ' ) and as the users return home he will get another notification ( ' WASH HANDS '), ensuring full safety of the user and their family. It is also loaded with additional features such as i.) HOTSPOT WARNING SYSTEM in which if the user enters into a COVID hotspot region he will be alerted to maintain 'SOCIAL DISTANCING' And it also has a statics board where the user can see how many times the user has visited each of these geofences. With repeated Notification, we will make people habituated of wear masks, washing hands, and social distancing which will make each and every one of us a COVID warrior, we are not only protecting ourselves but also protecting others, only with C-CARE.
Challenges we ran into
1,) we lack financial support as we have to make this app from scratch.
2.) the problem in collecting data regarding government-certified hotspot and also we have to do a lot of research regarding the spread pattern of COVID-19.
3.) Due to a lack of mentors, whenever the app stop working we had to figure out by ourself, how to correct the error.
4.) It took us too long to use it in real-time as during lockdown it was too hard to go outside in the quarantine but finally, after lockdown loosens a bit we tested it and it gave an excellent result.
5.) we didn't know much about geofencing before that so we have to learn it from scratch using youtube videos.
Accomplishments that we're proud of
WINNER at Global Hacks in the category of HEALTH AND MEDICINE.
WINNER at MacroHack As the best Android Application.
WINNER at MLH Hackcation in the category ( Our first Hackcation ).
TOP 5 in innovaTeen hacks.
TOP 10 in Restartindia.org and Hack the crisis Iceland.
What we learned
All team members of C-CARE were able to grow their area of competence by participating in the whole process of idea definition, market research, validation, prototyping, and presentation. Through different mentor sessions, we learned that problems could be approached by many means, but most importantly our mission should be clear.
What's next for C - CARE
COVID cases are increasing every day, and chances are low that we can create a vaccine immediately, apps like C-CARE will play a crucial role in lower the spread of infection till a proper vaccine is made.
Our app can also be used for seasonal diseases such as swine flu or bird flu or possible future pandemic such as Hantavirus, G4 Virus, bubonic flu, Monkeypox.
Built With
android-studio
geofence
google-maps
java
sqlite
Try it out
drive.google.com | C - CARE | C - CARE An app that makes every person a COVID warrior. | ['Anup Paikaray', 'Arnab Paikaray'] | ['Track Winner: Health and Medicine'] | ['android-studio', 'geofence', 'google-maps', 'java', 'sqlite'] | 9 |
10,511 | https://devpost.com/software/vcounselor | Home Screen
Virtual Counseling Page
Input ML Data Screen
Input ML Data Screen 2
Personalized Education/Career Guide
Resources Screen
Resources Screen 2
About Screen
Inspiration
With summer break ending soon for many of us and schools entering a new school year completely online, new and innovative solutions have been introduced to ease the transition into virtual learning. School counseling, however, has not received as much attention, as counselors rush to hastily meet the demands of hundreds of students by frantically scheduling Zoom calls or answering emails to simple questions from students while transitioning into a new work environment. To help school counselors who are adjusting to virtual learning, or even simply just trying to keep up with their already massive workload, we created vCounselor.
What it does
vCounselor is a mobile application that assists students who are seeking basic counseling. The app asks students for information such as how they spend their time, and utilizes machine learning to predict whether the student is currently on track to meet their academic goals. If the student appears to have any problems such as a lack of free time, or isn’t on track to meet their academic goals, vCounselor provides guidance and resources to assist the student. vCounselor can also help students identify potential classes, universities, and careers they may want to pursue based on their interests. The goal of the app is to provide basic assistance to students so they can receive more immediate help and reduce the workload of counselors, allowing these counselors to focus on more important or urgent cases, such as student health or familial problems.
How we built it
The frontend of vCounselor was built using Expo and React Native along with the UIKittens library. The app utilizes a custom SciKit Learn machine learning model to generate predictions for student performance based on user inputted data, which was then put into an API through Flask and hosted on a Heroku server. The career and college screen uses Python and BeautifulSoup4 (also accessed through the same API and Heroku server) to perform web scraping which provides the recommendations seen on that screen.
Challenges we ran into
In our team’s last hackathon, we dealt with machine learning for the first time, but ultimately failed to make a finished working product since we were unable to figure out how to get predictions from our model to the app. We spent a great deal of this hackathon working to address the same issue, but with different and more fleshed out ideas to solve the problem, ultimately creating an API through Flask and hosting it on Heroku. We also worked with web scraping for the first time, initially facing difficulties with reading through HTML code to find what was needed and figuring out which sites had means to block web scraping, but were able to scrape the results of various college information and advising sites to provide recommendations for students based on their interests. This hackathon also introduced new non-technical challenges for us related to our personal lives, forcing us to work without one of our usual teammates and with even more limited time constraints than already placed on us by the hackathon.
Accomplishments that we're proud of
Through vCounselor, our team has overcome challenges both new and old, giving us a sense of relief and accomplishment in doing so. We feel accomplished in beginning to gain mastery over old challenges that we had faced, such as developing a machine learning model, or working entirely with languages we had only learned months ago. We feel that vCounselor is one of our best applications yet, in both technical difficulty and functionality, especially after looking back at hackathon projects we had made as recently as May.
What we learned
In the process of creating vCounselor, we learned about creating APIs, hosting on and accessing Heroku servers, and how to perform basic web scraping. We also gained experience in finding relevant datasets and creating machine learning models through SciKit Learn. Since one of our teammates, who specializes in frontend with React Native, was busy this weekend, members of our team also learned more about creating the user interface and working outside of our usual assignments.
While vCounselor has allowed us to learn many new skills and tools in programming and app development, it has also increased our appreciation of our school counselors. When creating this app, we began to realize just how many aspects of student life counselors have to address, from basic class schedules, to the health and wellbeing of the community. We hope those who see and try our app can also learn and appreciate how much counselors and advisors do for their school, especially when a school is understaffed and dealing with transitioning into virtual learning.
What's next for vCounselor
We hope to introduce vCounselor to the staff at our high school, and receive feedback from our counselors and staff members on how to potentially improve and implement it at our school. While vCounselor is more student oriented and meant to reduce the workload of counselors, we also hope to make a counterpart for the counselors themselves that will receive alerts for students that may need more assistance or deserve recognition, and potentially automate tasks for counselors as well. If vCounselor accomplishes its goal within our local community and schools, we could change the app to accommodate various types and levels of education, and integrate more features such as schedule planning to further assist counselors. Once we gain more experience with different tools such as PyTorch, we may also consider trying to improve its already existing features, such as our machine learning model, or improving the quality and use of our web scraper.
Google Slides Presentation:
https://docs.google.com/presentation/d/1CLXMYm0jJRlG-FKLIR2NXKUIqqUvHC4POjaX1BJiI_o/edit?usp=sharing
Built With
beautiful-soup
firebase
flask
heroku
javascript
jupyter-notebook
python
react-native
scikit-learn
typescript
Try it out
github.com
docs.google.com | vCounselor | A guidance counseling application for high school students that provides a free,personalized platform to give them the information and resources needed to plan and succeed in life. | ['Arvind Vivekanandan', 'Eric Wang', 'Justin Yue'] | [] | ['beautiful-soup', 'firebase', 'flask', 'heroku', 'javascript', 'jupyter-notebook', 'python', 'react-native', 'scikit-learn', 'typescript'] | 10 |
10,511 | https://devpost.com/software/learnvisor | INSPIRATION
Across all schools in the United States, the average counselor to student ratio is a striking 1 to 464 (
schoolcounselors.org
). With there not being enough counselors to accommodate for the large number of students at each school, it is common for high school students to have trouble receiving assistance from their school counselors. As high school students ourselves, this phenomenon is something we’ve directly experienced a multitude of times. Not only that, the recent COVID-19 pandemic has only served to exacerbate the situation as physical meetups and conversations become impossible. To combat this problem, our team developed Learnvisor, a website that provides counseling services and other assistance to high school students.
WHAT IT DOES
Learnvisor was created to assist high schoolers plan ahead for the future, serving a role similar to that of a counselor. It has an abundance of helpful features, such as a course guidance tool, an email drafter, and a calendar students can add to their own Gmail account. The course guidance tool takes in a student’s course history and returns feedback by recommending possible courses to take next and suggesting viable college tracks. It does this through an algorithm based on two factors: the student’s academic preferences and performance. On the other hand, the email drafter feature generates formal emails addressed to counselors regarding transcripts, schedule modifications, letters of recommendation, and more to streamline emailing for students. Lastly, Learnvisor also offers numerous valuable resources along with a calendar in a centralized location to aid students in the grueling college application process.
HOW WE BUILT IT
Our goal was to make Learnvisor accessible to all high school students at any given moment in time. For this reason, we made Learnvisor a website, so it would be available to anyone with an Internet connection. To code our website, we used the platform Repl.it, which enabled us to work simultaneously on one project. As for Learnvisor itself, the basic structure of our webpage was created with HTML, whereas the interactive features of Learnvisor, such as the email drafter, were accomplished with JavaScript. Lastly, in order to make our website visually appealing to its users, our team used Bootstrap and CSS for layout, colors, fonts, and formatting.
CHALLENGES WE FACED
While developing Learnvisor, we ran into two major challenges: incorporating Bootstrap and producing the interactive portions of the website. Due to our limited experience with Bootstrap and the given time restraint, we were unable to implement as many design elements as we had initially planned. The course guidance tool and email drafter were especially challenging to format due to the sheer number of elements on one page. These two features of our website were not only difficult to format, but were arduous to create as well. Our lack of familiarity with JavaScript merely added on to the plethora of issues we encountered, not to mention our increasing frustration. Another challenge was accommodating for the widely varying schedules of each team member. Each member was available at different times, which presented a large obstacle to collaboration.
ACCOMPLISHMENTS WE’RE PROUD OF
We set our vision on developing a solution for a common problem high schoolers like us encounter on a regular basis. Our main accomplishment was achieving this vision through the successful completion of our website. Other than that, we all take pride in the fact that we were able to persist through the various difficulties that arose throughout the development of our website, and are proud of our growth in web development. The skills we learned along the way will undeniably be incredibly helpful when creating another website in the future.
WHAT WE LEARNED
We learned to use Bootstrap for the very first time during this hackathon. This included importing the Bootstrap CDN, understanding Bootstrap’s grid system, and utilizing Bootstrap’s CSS classes in conjunction with our own CSS code to style the frontend of our website. Not only that, we also improved upon our previous knowledge of JavaScript. A great amount of JavaScript code was required in order to implement key features into our website, and since we were inexperienced with the language, we had to work under pressure to rapidly build upon our JavaScript skills.
WHAT’S NEXT FOR LEARNVISOR
We’re quite proud of all we were able to accomplish in the short amount of time allocated, but we believe that Learnvisor can be improved in various ways. For instance, an account system that automatically saves the courses inputted and continually provides feedback over time would greatly enhance the user experience. Another feature we had in mind building upon the personal accounts was a discussion board forum, where users would be able to interact with other students from their school and receive direct advice from upperclassmen. Overall, we hope to continue updating and maintaining this project so it can truly make a difference for struggling high schoolers.
Built With
bootstrap
css
html
javascript
repl.it
Try it out
github.com
lykimchee.github.io | Learnvisor | Planning your future in High School is difficult. That’s why we’re here to help. | ['Hannah Jang', 'Rhea Jethvani'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'repl.it'] | 11 |
10,511 | https://devpost.com/software/save-the-earth-a-clicker-game | Team Name - The Scratchers
Inspiration
I got inspired by many of the clicker games you see online
What it does
You have to save the earth by gaining money, which you use to improve the environment, thus, saving the earth
How I built it
I used the Scratch Programming Engine
Challenges I ran into
Trying to save space on my Scratch project was definitely a challenge
Accomplishments that I'm proud of
These are my first Hackathons and I'm excited to participate in
What I learned
I learned so much about Scratch (this is my first game)
What's next for Save the Earth! (A clicker game)
I might update later if I have time
How to open game
Open a new Scratch Project, click "File", select load from computer, and select the .sb3 file from this project
NOTE: This game is in a .sb3 file so you will have to import the game into a Scratch project to play it. You could also just use the link I put in the "Try it Out" section to play the game
Built With
scratch
Try it out
scratch.mit.edu | Save the Earth! (A clicker game) Team Name - The Scratchers | A retro game to teach kids about environmental safety | [] | ['Best Hacks'] | ['scratch'] | 12 |
10,511 | https://devpost.com/software/6ixify-03sypl | 6ixified version of "Never Gonna Give You Up"
Before 6ixify: a regular conversation between two friends
After 6ixify: a regular conversation between two Toronto mandems
Inspiration
In light of the current pandemic, there have been many social and physical distancing measures put in place across the world. Because of this, many people have relied on communication via messaging apps such as Facebook messenger, texting, etc. Our team wanted to build a lighthearted hack that would be entertaining to its users. Since we’ve always been baffled by slang used in Toronto (also known as the 6ix), we decided take advantage of the vast vocabulary in Toronto slang and build 6ixify.
What it does
6ixify is able to read text within Google Chrome, and “translate” it into Toronto Slang by replacing key words with their Toronto equivalents. It works especially well on Facebook Messenger as users tend to have more casual conversations, leading to funnier translations. It also works on news articles, Google search results, Stack Overflow posts, etc.
How we built it
We built the chrome extensions using the following various web development technologies, primarily JavaScript (but also HTML), in order to interact with the elements on the webpages. Using a Python script, we generated a JSON object that linked common English words to their respective Toronto slang. We then used JavaScript to parse the plain English text, convert English words to their Toronto equivalents, and replace the old text in the webpage.
The entirety of the project was built during the hackathon.
Challenges we ran into
This was our first time developing a Chrome extension, and as a result, we needed to navigate some of the unique aspects that come with it. For example, two challenges we ran into included understanding the limitations of JavaScript in the context of a Chrome extension and realizing that certain DOM elements could/should not be tinkered with.
Another challenge we faced was determining the best method to implement the translation aspects of the extension. We needed to find a solution that was feasible to develop in a day while still being functional and fast. Despite our initial debate over whether to translate specific highlighted text or the entire webpage, we managed to create a solution that quickly and accurately translates text on the entire page, which also best suited our vision for the extension.
Accomplishments that we're proud of
We made it work! Chrome extensions are pretty versatile (once you solve the problems that come along with them), thus building our first extension was really rewarding. This hackathon was our first time coding together as a team so we're proud of finishing it.
Moreover, after testing it out ourselves and sharing it with a couple of our friends, we realized that 6ixify brought a lot of entertainment value - something that's important during the pandemic! For people who don’t know the mapping of the words, each time they send a message is an opportunity for a possible Toronto slang translation. We’re proud of making a fun Chrome extension that has the potential to make any website into something entertaining.
What we learned
There are many differences compared to NodeJS or React when developing a Chrome extension in plain JavaScript, namely the complications involved in reading a local file or calling an API. However, after building 6ixify, we learned that both of these were very doable, it just involved a couple extra steps.
Aside from all this, one of our big takeaways is our increased knowledge of Toronto slang, which we learned from researching the phrases and testing out 6ixify.
What's next for 6ixify
First and foremost, we want to expand the translator’s vocabulary using natural language processing! By going through Tweets, for example, we can gather more interesting and accurate examples of Toronto speak. Increasing the amount of words and phrases 6ixify is able to detect will allow it to be more accurate and versatile. As well, we would like to work on implementing better grammar so that verb tenses can be maintained.
Next, we would like to develop an “autocorrect” function that allows the user to alter their text to Toronto slang prior to sending a message on various messaging apps. Currently, the extension supports messages that have already been sent, however, expanding the scope to cover messages that have not been sent will allow for an improved user experience (and greater entertainment value). We will need to consider privacy issues with this, though.
Lastly, we hope to implement different types of slang moving forward - while our initial focus is on the Toronto area, we hope to expand the extension such that it is able to translate text into slang from all around the world.
Built With
html
javascript
python
Try it out
github.com | 6ixify | Slang translator: from English to Toronto slang. Bringing people together through language and entertainment during the pandemic. | ['Grace Huang', 'Oustan Ding', 'Jonathan Cui', 'Varun Mokashi'] | ['3rd Place'] | ['html', 'javascript', 'python'] | 13 |
10,511 | https://devpost.com/software/ice-in-case-of-community-emergency | Inspiration
A recent Federal Emergency Management Agency (FEMA) survey found that nearly
60 percent of American adults have not practiced what to do in a disaster by participating
in a disaster drill or preparedness exercise at work, school, or home in the past year. Further, only
39 percent of respondents have developed an emergency plan
and discussed it with their household. This is despite the fact that
80 percent of Americans live in counties that have been hit
with a weather-related disaster since 2007, as reported by the Washington Post. Additionally,
48% of Americans report having seen at least some news they thought was made up
about the recent coronavirus virus. With
dangerously large amounts of false information regarding how to prepare for the coronavirus (52%)
in the general public, with nearly** 61% of _ Americans having not prepared a emergency plan in case of a widespread emergency in their local area
and **no basic technologies
present to sufficiently provide information to local authorities to provide help to one another, I felt the need to develop this app in order to build a tool for both,
the average household and authorities
, in order for local authorities to better plan, better make decisions and provide knowledgable information in order to save lives. _ Additionally, I have been personally affected by a similar situation, providing me better insight regarding the experience.
What it does
I have created a hybrid mobile application which has three different primary pages and intentions. On the home page, there are
three different feeds
that incorporate the main intentions of alerting the user end of
Reliable information from reliable sources based on the subject criteria.
These
three information feeds include the recent COVID-19 pandemic, an information feed from the government /city and the National Weather Service/other informations in relation to extreme weather. **For the second page, the user must enable location features In order to have full access to the app. **The app utilizes the current location of the user and uploads to my Backend in real time, which is viewable to the local authorities with authentication to the backend. This can be used in many instances such as a fire, to see whether any people are inside the fire, other natural disasters, to help rescue people based on these given locations, and also to alert other surrounding you for help.
Your location on the map will show up to people around you (in a certain radius). On the second page, there is a search option where the user can input a location and find the
Est. amount of people at that location(using a self-created algorithm), the risk level (in terms of COVID), the amount of people who are in "help status" near that location and the amount of COVID cases **in your state. **These features are very helpful during the current pandemic as essentials need to be visited. This will help uses find the time which has the least people present and the least cases recorded.
On the third page, there are
verified resources to help inform you what to do when various kinds of emergencies occur
and how to prepare for them in advance.
Overall, these functions will help inform the user of the correct information of what to do, how to be prepared, stay informed with reliable information in these categories, help avoid contact and contraction of the novel coronavirus and help stay safe in natural disasters/other similar emergencies by being able to send data to users nearby for help and local authorities.
How I built it
I built this app using the hybrid application development platform called React Native. I used expo for faster testing and a better and managed workflow. I wrote this entire app in Javascript. Now to the construction of the main features of the app. For the Information feeds, I used a
News API with several endpoints
to gather information in relation to its respective topic by reliable sources. For the search page, I used
react-native-maps in order to gather the accurate location (long, lat, geolocation) of the user and create the maps UI
. Additionally, I used
Google Firebase as my backend
in order to store this data in a database where it would be accessible to the local authorities in real time. For the East people at a location and risk level , I used an
algorithm I created using multiple data points such as the population of the residing city
, the amount of users recorded in the database and density of the city. For the last page, I used individual reliable sources to provide Preparation resources to be ready for and prepared for emergency situations.
Challenges I ran into
Overall, there were many challenges I faced over the course of this entire project. One of the earlier issues I had was in relation to the tracking of geolocation and using that data, uploading it to the backend and then redisplaying it onto the map. Although this may have not been visible during the demonstration, I wanted to ensure full functionality. The reason some of the data was not showing was due to my incorrect way of passing the props and setting state and overall scope of the project, which I eventually resolved. One of the other Issues I had was in relation to the News API feed which had multiple failed requests and was not pulling through. The issue, I eventually figured out, was due to the incorrect formatting and mapping of data, which did not load the data properly. Additionally, I wasn't assigning keys properly.
Accomplishments that I'm proud of
Some of the accomplishments I am proud of is creating the
algorithm to calculate risk level based on several data points such s population in the residing city, he amount of users recording in the database in that city and the density of the residing city.
I was also proud of creating an interface that was able to use locations and map this data to a backend. I am also proud of implementing my first multi-endpoint api in a react native app.
What I learned
I learned a lot of new things during this entire project. I learned how to implement react-native-maps, how to implement some basic functionality's such as webview and deep linking, allowing me to access certain websites for resources in my prep resources tab and overall how to troubleshoot in low time constraints. Overall, this time constraint helped me work more efficiently and prioritize.
What's next for In Case of an Emergency
In the future, I hope to host this algorithm on an API endpoint rather than on the app itself. Additionally, I would like to my own api endpoint for the resources since I am using a website webview at the moment.
I also would like to create more features in my backend such as alerting the app that you will be going somewhere to adjust the algorithm accordingly and have a lot more user input. I look forward to that in the future and hope this can help the overall community in such times.
Built With
algorithm
api
firebase
google
javascript
native
news
node.js
react
react-native
react-native-webview
Try it out
github.com | ICE (In case of Community Emergency) | The ICE App, helping you stay cool during times of emergency | ['Om Joshi'] | ['1st Place Continuation Hack'] | ['algorithm', 'api', 'firebase', 'google', 'javascript', 'native', 'news', 'node.js', 'react', 'react-native', 'react-native-webview'] | 14 |
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