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10,403 | https://devpost.com/software/work-from-home-amp-stories | Share
Start
Inspiration
AMP stories are the new way to engage users
What it does
Tell some tips about Work From Home
How I built it
AMP Stories
Challenges I ran into
build my first amp stories
Accomplishments that I'm proud of
creating my amp stories
What I learned
AMP
What's next for Work from Home AMP Stories
Story Telling through AMP Stories
Built With
amp
css
html
Try it out
tricitynews-fe315.web.app | Work from Home AMP Stories | AMP Stories | ['Raja Vikrant Sharma'] | [] | ['amp', 'css', 'html'] | 36 |
10,403 | https://devpost.com/software/paper-piano-1fndu4 | Inspiration
We wanted to learn to play piano during this quarantine. Our only problem, we didn't have access to any piano. Besides, the price of a Piano was too much for us to afford. At first, we tried using some online piano simulators which let you play using your keyboard keys or mouse but those just didn't feel right. So we decided to create the most portable, cheap and easy to use piano ever: Paper-Piano.
How to use it
Just print out the
template
on a sheet of paper, visit our website and click on the play button. It'll start your webcam which you can point towards the template. And that's it! As you press the keys on the paper, your device will play the corresponding key sound. You can play any melody you want! Once you are done playing, just fold up the paper and store it anywhere you want.
You can take it anywhere you want. Its portability allows you to play your favorite instrument everywhere; at your home, at a party, on your commute in metro/bus, at your work, anywhere!
It also enables less-fortunate children to experience the joy of creating music without having the need to buy any expensive instruments.
P.s. Since the theme of this hackathon was Vacation, what could be more fun than playing your favorite songs on your paper-thin instruments with your friends at your weekend getaways?
How does it works?
Your webcam captures the video and send it to OpenCV for processing. OpenCV looks for the keys in the video by finding 8 contours of almost equal size and associating a note with each contour. It then tracks the motion of your hands and more specifically your fingers to figure out which keys you are playing. It then send uses this information to the browser which then plays the corresponding piano note filling your environment with melody.
How we built it
The UI for the website was designed in
Figma
.
The Backend was created using
Django
and the Frontend using
Bootstrap
.
The Image processing was done using
OpenCV
and
Imutils
.
The template for the piano keys was made using
Adobe Illustrator
.
And the camera streaming was done using
IP camera
.
Piano notes were played using
Winsound
library
Challenges we ran into
The motion tracking part was certainly very difficult as we had to deal with a lot of noise due to the low quality of the camera. We finally found a way around by using Gaussian blur in OpenCV. Another challenge was to integrate the IP camera with Django as there wasn't any documentation around for it.
Accomplishments that I'm proud of
This was the first Hackathon for three of our team members. We had to learn to use Figma, OpenCV, IP camera and Illustrator overnight. We are proud that we were able to complete the project in time and have created something that is not only fun to use but also can help a lot of people pursue their hobby free of cost.
What we learned
Some of the things we learnt this weekend
Image Processing
Contour detection
Motion tracking
Working of music notes
Designing in Illustrator
Creating prototypes using Figma
Collaborating on a project virtually
Integrating camera with Django
Time management and planning the project in advance
What's next for Paper Piano
We plan to add a whole lot of other instruments like drums and guitar to our project so you can have the whole band with you anywhere you go.
Built With
adobe-illustrator
bootstrap
django
figma
imutils
ipcamera
opencv
python
Try it out
github.com | Paper-Piano | Making music accessible to all. | ['Guneet Kohli', 'Jatin Dehmiwal', 'Naveen Kumar', 'Shrey Dharmendra Modi'] | [] | ['adobe-illustrator', 'bootstrap', 'django', 'figma', 'imutils', 'ipcamera', 'opencv', 'python'] | 37 |
10,403 | https://devpost.com/software/alexa-pizza-please | Analytics
Developer Amazon Console
Inspiration
I wanted to order pizza, but going online just wasn't as relaxing, so we found a better way!
What it does
Using a custom Alexa Skill that we made you can order pizza from a dominos near you with whatever you want and get it delivered. Only works in US and Canada due to API address restrictions and policy.
How I built it
We used Domino's API and Amazon Alexa SDK python console. We created a custom Skill with Amazon Alexa Developer SDK and then ran post requests with utterance variable to the localhost running on the network, in this case, my laptop. This localhost content was parsed as a JSON string object with necessary properties using the custom getvar() method we created for the API. This simply runs and uses the API built-in requests module to send the request to the Specified Domino's Store.
Challenges I ran into
We tried making this generic for all pizza brands but quickly realized most popular ones have terrible API documentation or lack the tools needed to work with the API or are just demonstratable not functional.
Accomplishments that I'm proud of
Posting a JSON with Amazon Alexa using Dynamic Input and making a practical solution to a not so common problem. Mostly this was an intensive technical challenge that we barely managed to finish by removing some of our ambitious goals.
What I learned
Amazon Alexa Skills Kit
JSON with Python
Python requests
What's next for Alexa, Pizza Please!
Hopefully, we can use the API extensions to create the Pizza Timer that Dominos has when you order and make the model Generic by using GrubHub or UberEats API.
Built With
alexa
alexaskills
amazon
api
crud
dominos
google-maps
hardware
iot
json
python
Try it out
github.com | Alexa, Pizza Please! | Who wants to manually order pizza, Just get Alexa to do it! | ['Aditya Singhal', 'Neha Singhal'] | [] | ['alexa', 'alexaskills', 'amazon', 'api', 'crud', 'dominos', 'google-maps', 'hardware', 'iot', 'json', 'python'] | 38 |
10,403 | https://devpost.com/software/covid-19-detection-using-deep-learning-ai | Thereafter images taken by astronauts will be analyzed by a CNN model to show us the impact created on the group by objects -lunar craters.
Inspiration.One of the things that should be done in this scenario is manual testing so that the true situation can be understood and right decision is taken and disadvantages of manual testing is costly less testing kits and other so using deep learning is better.
Due to the fact that the disease is highly contagious.Covid 19 analysis using deep learning includes
lungs xrays of patience , the basic ideas is to classify the affected as covid or normal
How I built it i used anacoda navigation to lauch jupyter notebook and import some libraries eg matplot keras ...
Challenges I ran into it was hard to install open cv in the anaconda framework
Accomplishments that I'm proud of the system is working
What I learned .perfecting python skills and machine learning
What's next for Covid 19 Detection using deep learning (Ai) . adding more dataset
Built With
ai
kera
machine-learning
python
pytorch
tensorflow | covid 19 with Ai | i think using Xray images to tell if somebody is positive or negative is comfortable | ['limo patrick'] | [] | ['ai', 'kera', 'machine-learning', 'python', 'pytorch', 'tensorflow'] | 39 |
10,403 | https://devpost.com/software/gratitud3 | Opening screen
Home page
Gratitude page
Profile page
Inspiration
With all the violence and protests going on right now, spreading love and positivity is more important than ever. The Three Good Things exercise is a common exercise that has been shown to be extremely powerful in increasing people’s daily levels of happiness. The idea is to write down three good things that happened to you every single day.
For this hackathon, I created a mobile version of the Three Good Things exercise in the form of a native iOS app called Gratitud3.
What it does
Gratitud3 is a simple way for people to write down 3 things that they are grateful for each day and share it with their personal network.
How I built it
I created a mock-up of the design in Figma and built the native iOS app using Swift UIKit.
Challenges I ran into
Running out of time!
What's next for Gratitud3
Future work includes implementing more complex features, such as the ability to customize these backgrounds, and the ability to send people compliments, kudos, and other loving messages directly. What makes Gratitud3 unique is that it is both a personal and a social app. With more time, Gratitud3 could evolve into an app that increases long-term happiness, encourages people to stay grounded, and helps people connect with their friends in a more intimate way.
Built With
swift
uikit
Try it out
github.com | Gratitud3 | A personal and social gratitude app | ['Angela Luo'] | [] | ['swift', 'uikit'] | 40 |
10,403 | https://devpost.com/software/beat-the-lag | Home: Input your travel information to get sleep shift schedules fit to your preferences.
Schedules: See schedules fit to your preferences with the option of exploring others with better Jet Lag Scores
Inspiration
When coming up with an idea, we brainstormed what we liked and disliked the most about vacation. We really enjoy travelling but we all agreed that traveling would be much better if it weren't for one thing: jet lag. Jet lag is an absolute vacation ruiner and leaves you feeling miserable for days. That is why we set out to help travel junkies like ourselves Beat the Lag.
What it does
The website takes in user input, interprets it and generates schedules and scores based off of how well the schedules do at reducing the effects of jet lag. First, you have to fill out your vacation information on our home page. This includes travel destination, when you want to start adjusting to your new schedule, and customization options such as if you are a coffee drinking and if you plan on sleeping during your commute. All of these fields play apart in the calculation of the Jet Lag Score and in the generation of optimized schedules. Once all of the travel information is filled out, the data is manipulated in script.js, which then allows of the creation of Jet Lag Scores and schedules. On the schedules page, the first one corresponds to a routine that strictly obeys the preferences of the user. However, this schedule tends to have a bag Jet Lag Score. By clicking the see more schedules button, the user can see alternate schedules in which preferences are modified to ultimately reduce the feelings of Jet Lag.
How we built it
After brainstorming and deciding on features, we started off with a rough plan of the main logic of the jet lag scoring and schedule making as a group. We decided for the front-end to collect the inputs to be transferred to the back-end, with the back-end having the formula to generate schedules for the front-end. After that, the front-end and back-end teams started working on their parts while collaborating to ensure that everyone was on the right page. On the back-end side, we started off by programming the data manipulation and schedule generating in Python. Using the Flask interface, we took the data from the HTML forms and then used in it the program for the calculation. Since some of the data used for the calculation included the use of coordinates and time zones, we implemented Google Cloud APIs, such as Maps and Geocoding APIs, to convert a given location into a designated time zone. On the front-end side, the home page was built first so that testing of the back-end could happen as quickly as possible. Then, the rest of the web page design was done while we linked the HTML form to our Python code. However, we encountered challenges when trying to output the schedule made in Python back into the HTML of the website. While trying to find solutions, since the front-end was nearly complete, our team started converting the Python code into JavaScript code to be used should the first plan not work out. In the end, the conversion happened quicker than the finding of the solution, so we switched over to JavaScript for the back-end portion. Thus, all of the calculations and displays were made with JavaScript instead of Python.
Challenges we ran into
Originally, we planned on using HTML for the front-end to display the website with Python as the back-end support that would generate the jet lag schedules. Our first challenge that we ran into was figuring out how to transfer from front-end HTML inputs to the back-end, given that Python and HTML were not as easily integrated compared to JavaScript and PHP. Eventually, we incorporated Flask, a Web Server Gateway Interface, as a way to convert HTML inputs to strings readable by Python. By hosting a native Python server, Flask allowed us to extract the search bar and checkbox data into the back-end to be manipulated further.
Unfortunately, trying to convert from the back-end to the front-end took a significant amount of time to figure out, since there was no seemingly easy way to rerun the HTML files since the website depended on running HTML on a Python interface, and not vice versa. We experimented with inputting Python data into HTML5 LocalStorage, but in the end it was determined that directly using JavaScript to manipulate the back-end would be more efficient. In that regard, we determined that having Javascript be embedded within HTML was more practical than having the HTML being embedded within the back-end Python.
Accomplishments that we're proud of
We're extremely proud of our finished product. We all learnt a lot and challenged ourselves by using things like the Google APIs, which we have never learnt about. We're proud of ourselves and our teammates since this was a very fun and educational experience for all of us.
What we learned
Upon embarking on this hackathon, we were also made aware with how much APIs were available to be used for building websites. We used some Google Cloud APIs, most notably the JavaScript Google Maps and Geocoding APIs, to locate the coordinates and time zones of cities, to calculate the time zone differences, and to even incorporate a functional map to locate cities as well. With this discovery, it opened up so many more possibilities for future experiences since we would have access to a myriad of APIs for whatever task we wanted to pursue.
The most important getaway during the hackcation experience was the use of Flask to incorporate HTML within Python and ultimately creating websites with Python code. Although the final product had this idea scrapped, we thoroughly were intrigued with the idea of having Python being able to integrate with HTML to create a front-end and back-end interface. Not only does Flask allow local web hosting with a Python server to act as a website, with other modules it could even use more advanced notions such as HTML5’s LocalStorage by including JavaScript. While it might have been excluded from the final product, the notion of Flask was definitely an indispensable learning experience for all of us.
Additionally, we also learned the importance of starting anew compared to keeping old developments. Especially in coding, when stuck, it can be beneficial to develop another approach towards the project instead of sticking with the previous work, even though significant work might be lost. In this case, transferring from Python to JavaScript for the back-end allowed simpler transitioning between the front-end and back-end. It is not as if the previous work was for nothing either, since it provided us with a learning experience.
What's next for Beat the Lag
While this project was very fun to work on, we will certainly be taking our newfound knowledge, especially of APIs, and using them in our future, more complex, projects.
Built With
css
google
google-maps
html
javascript
python
Try it out
beat-the-lag.github.io | Beat the Lag | Imagine a world where you could go on vacation without having jet lag. Beat the Lag will make a sleep routine based off of your preferences so that you could vacation without dealing with jet lag. | ['Jason Wang', 'Janvi Patel', 'Asghar Taqvi', 'Christopher Zhang'] | [] | ['css', 'google', 'google-maps', 'html', 'javascript', 'python'] | 41 |
10,403 | https://devpost.com/software/cave | Inspiration
Everybody gets bored sometimes and games are some of those things that can help relieve your boredom. We wanted to create a game that could give someone a little fun during or create a needed distraction or break from all that is going on at the moment.
What it does
Cave is a game in which players get to choose what they would like to do. Their choices will affect the outcome and the chances of whether or not they will complete the game's objective: getting out of the cave alive.
How we built it
Using Python, we coded several "print" and "if" statements letting players know the story of the game and what choices they can make within it. Inside the "if" statements are other "if" statements, loops, and a list.
Challenges we ran into
A challenge we ran into would be creating the "for" loop in the function, thirdtunnel(). At first, we were unsure how to make the phrase, "An even bigger rock has fallen!" be printed to the console each second but have it be printed a certain amount of times. However, we were able to overcome this challenge by setting a range and using a sleep function by importing the time module.
Accomplishments that we're proud of
We are proud of being able to use of newly learned Python skills to create a playable interactive game.
What we learned
We learned how to call functions to run based on the choices or decisions the player made by inputting certain numbers.
What's next for Cave
In the future, we would probably add more choices or pathways the player can choose, adding onto the initial three. There would also be more than one way out due to more options.
Built With
python
Try it out
repl.it | Cave | Cave is a short little adventure game in which the user makes choices to reach their top priority - getting out of the cave. | ['Roselyn Chin', 'Genevieve Chin'] | [] | ['python'] | 42 |
10,403 | https://devpost.com/software/easypeasyresumy | When we heard about hackation, we were very excited to participate in it and make our time productive. We learned how to properly use javascript, PHP, Mysql, CSS, and HTML from this participation.
EasyPeasyResumy helps the user create a resume of their choice from the template they select.
We started with an idea that is useful for all the students out there looking for jobs and trying to build a resume.
We ran into merge conflicts during git commits.
We could work more on this project and add more templates, however, due to the time limit we couldn't complete it properly.
Built With
bootstrap
css3
html5
javascript
mysql
php
Try it out
github.com | EasyPeasyResumy | Building resume made simple with EasyPeasyResume | ['jshresth Shrestha', 'Prashan Thapa', 'Pratiksha', 'aashray138 Shrestha'] | [] | ['bootstrap', 'css3', 'html5', 'javascript', 'mysql', 'php'] | 43 |
10,403 | https://devpost.com/software/hobby-homie | Our logo!
The landing page of our website with the Dialogflow chatbot open
About Hobby Homie on our website, with the Dialogflow chatbot minimized
A sample of many of the hobbies available in the Dialogflow web chatbot
A list of intents on the Alexa Developer Console
Domain submission for
domain.com
:
hobbyhomie.tech
Inspiration
People are spending the majority of their time at home during quarantine, which is the perfect opportunity to discover new hobbies. Pursuing a new hobby can be a fun, productive way to spend time with yourself or family members, as it can help you relax and unwind when you’re feeling stressed out or tired. According to scientific studies, certain hobbies are proven to make a person both happier and healthier by helping reduce stress levels. We wanted to make it easy for people to find exciting and unique hobbies they can pursue at home, so everyone can be the best version of themselves.
What it does
We created Hobby Homie, a friendly Alexa skill that suggests unique hobbies for people to do at home. All you have to do is say “Alexa, give me a hobby with Hobby Homie” with your Alexa device. With over 70+ hobbies ranging from the outdoors to the arts and crafts, Hobby Homie helps people get inspired with interesting things to do - and hopefully even introduce a new passion! Make a dorodango ball. Learn how to waltz. Start a bullet journal. In addition to suggesting these cool hobbies and more, Hobby Homie also offers an abundance of encouragement and support, leaving you feeling loved and motivated to take on the world.
How we built it
Initially, we built a custom Amazon Alexa skill within the
Amazon Developer Portal
. This skill utilized lambda functions which were written in
Python
, as well as multiple JSON files to store the response values. Once the skill was developed, it was booted onto an
Amazon Echo Dot
. When this was embedded into our website, we transferred the responses from the JSON files into
Dialogflow
, which was linked with
Google Cloud
to provide an interactive chatbot which modeled the Alexa skill for our website. This Dialogflow bot allows for all users to interact with our service, whether they have an Amazon Alexa or not. Our website was built using
HTML5, CSS3, and JavaScript
, using
Bootstrap
for visuals. Our graphics were designed using
Canva
and imported as images into our site, which was hosted on
repl.it
. We registered the domain name
hobbyhomie.tech with domain.com
, and linked it directly to the repl using a CNAME reference.
Challenges we ran into
It was our first time working with a voice user interface and programming an Alexa skill, so we encountered many request errors when testing out our skill. But through reading the documentation and watching tutorials, we were able to figure out how to make a fully functional Alexa skill that works on the Echo Dot.
When we first began developing Hobby Homie, we knew we wanted to have the bot embedded on our website as a chatbot. However, upon further research, we found that the Echo API does not allow for direct embedding into a website, and we must port the bot over to a different platform. Initially, we had planned on using Firebase, but, when our website did not support the API calls which were necessary to use Firebase, we decided to make a very similar version of the bot from scratch using Dialogflow, and embed that chatbot into our website.
One of the issues with porting the Echo model to Dialogflow was that Dialogflow agents were limited to a maximum of 30 responses per intent, while we had over 70 hobbies listed in the Echo model. This meant that, when porting over to Dialogflow, we had to strategically combine and exclude pieces of the Echo model to lose as little information as possible. For example, rather than listing out different instruments the user could learn to play, the Dialogflow model simply suggests that a user learn to play an instrument in general.
Accomplishments that we're proud of
We’re super proud of making a fully functional Alexa skill that users can use to stay productive and happy at home. We had a great time learning about interaction models, designing our website to be responsive and aesthetically pleasing, and integrating our skill into our website. Making Hobby Homie come alive through the voice experience was very exciting!
What we learned
The biggest thing we learned was how to work with voice user interfaces and chatbots. Before this project, neither of us had ever used the Amazon Developer tools, so developing the Alexa skill was a massive learning experience, as we had to learn everything about the development, from Python lambda functions to booting the skill onto the Alexa. We learned how to create custom intents and slots for our interaction model and how to process requests and responses within the skill using Python. We also learned how to port the Alexa skill to Dialogflow, and how to embed the Dialogflow chatbot into a website such that all website visitors are able to interact with it.
What's next for Hobby Homie
We hope to make Hobby Homie more personalized, allowing the user to tell Hobby Homie their interests to generate hobbies that better suit their personal tastes. We also hope to integrate the Alexa list slots to give the user specific options as to what movies or TV shows they can watch. Also, by querying the weather data we hope to filter out activities that are illogical based on weather (running in the rain) so that the user does not have to query for an additional hobby. All of these improvements are upgrades which will make the user experience as smooth and efficient as possible.
Built With
amazon-alexa
bootstrap
css3
dialogflow
google-cloud
html5
javascript
python
Try it out
Hobby-Homie.kgauld1.repl.co
github.com | Hobby Homie | Find fun, productive things to do at home. | ['Kevin Gauld', 'Shirling Xu'] | [] | ['amazon-alexa', 'bootstrap', 'css3', 'dialogflow', 'google-cloud', 'html5', 'javascript', 'python'] | 44 |
10,403 | https://devpost.com/software/moodmatch-9g4xv3 | logo
sample movie conversation
sample music conversation
Inspiration
When one thinks of vacation, the first thing that comes to mind is a setting like Hawaii or some tropical island or perhaps even beautiful wildlife. But due to this unprecedented time in our world, it is difficult to make these vacation dreams into reality, in turn forcing people to rely on some virtual way of getting the vacation vibes. This, along with the issue of not being able to understand one’s true emotions and grasp what is needed to acquire a more positive mindset inspired me to create MoodMatch.
What it does
MoodMatch is a Facebook Messenger ChatBot that recommends songs and movies based on a user’s current mood. MoodMatch understands the user’s current emotions by asking several personalized questions and using novel sentimental analysis algorithms to deliver several songs or movies which will cheer up the mood of the user.
How I built it
Before this project, I was very new to the ideas of creating a project. This project introduced me to the end-to-end programming pipeline. I started by first mapping out what I had to do:
Obtain a list of songs, artists, and lyrics of the songs and similarly movies, and years they were created in
Perform sentimental analysis on the songs and movie titles as well as movie summaries to understand what kinds of feelings are exhibited by the song/movie
Create a messenger bot
Program the messenger bot to ask the user questions
Process the results (sentimental analysis on the chosen choices)
Recommend songs or movies with similar sentiment levels or perhaps higher sentiment levels to cheer one up
Created a fully functioning webpage that allows users to try out MoodMatch directly on the website
I followed this process thoroughly and used the Microsoft Azure Cognitive Science API to perform sentimental analysis. I also used various APIs including Spotify, Genius Lyrics, and various others.
Originally, I had meant for MoodMatch to pop up a Messenger Webview and encourage users to fill out a form that would then allow for the processing of data, however, Facebook’s innovative Quick Replies module on Messenger allowed me to make MoodMatch more interactive and personalized for users.
I also learned the importance of using various REST APIs including TMDB (The Movie DataBase) and various movie trailer npm packages.
Challenges I ran into
As I was very new to the end-to-end programming process, I ran into many challenges including not being able to understand what was wrong. My first challenge in this journey of completing MoodMatch was deploying my messenger bot on a Heroku server. Many times, I received an Error 400 or Error 500 stating that the /GET request cannot be found. However, once I got over this hump by fixing a few lines in my code, I was faced with several other tough mountains:
Obtaining results from the HTML form and using ExpressJS to deliver POST requests
Returning a list of songs and executing my algorithm on an ASYNC function
Transitioning from a bland messenger webview to more interactive Quick Replies
I often asked friends or even posted on StackOverflow to get some of my questions answered and get over these challenges. This project truly wouldn’t have been possible without others who helped me get over these challenges.
Accomplishments that I'm proud of
Creating a bot was not something I could've imagined me doing a few months ago, but now I have fully learned one example of the end-to-end programming pipeline. Getting over the aforementioned challenges and not giving up throughout the process has not only given me more technical knowledge, but it has impacted me mentally as I am more confident in my coding ability after this project.
What I learned
I fully learned the end to end programming pipeline of sorts. In particular, I learned the ins and outs of the various APIs I worked with and understanding how to deploy/manage server-based applications like a messenger chatbot.
What's next for MoodMatch
A lot is in store for MoodMatch, ranging from automating the song updates as well as adding more factors that may influence someone's choice of song. I plan on having an autorefresh of sorts for the list of songs already scraped off the web right now so that users will continuously get different songs. Perhaps even employing an account scenario in which users are never recommended the same song on multiple occasions is also one thing I plan to work on. Lastly, a lot of factors go into one’s feelings and current emotions, which definitely cannot be grasped by the current 2 questions asked my MoodMatch. I plan on adding more of these questions and even an open-ended question of sorts, in which users can type in their response, and emotional analysis will be performed on their inputs. In fact, a few of these are already in the works so be on the lookout for upcoming updates ;) Feel free to checkout moodmatch.tech and watch our video to learn more about what’s coming soon!
Try it out
moodmatch.tech | MoodMatch | Just what you need | ['Viren Khandal'] | [] | [] | 45 |
10,403 | https://devpost.com/software/just-chill | Home Page
Inspiration
I have always had a strong attraction to the relation community, such as ASMR and Lo-Fi. However, I felt that at time many individuals looking to monetize on this community will add distracting advertisements or trending techniques in their content to capitalize on this growing community.
What it does
It simply plays relaxing lo-fi music (keep it smile) and has a nice background of a turntable to allow for users to put it on a screen of their choice to relieve them from putting any other distracting content on.
How I built it
I built this using HTML5, CSS3, and vanilla Javascript
Challenges I ran into
The challenges I ran into and am still working on is to get the media player to connect to an optimized central database for all the music content. I will most likely connect it to a Google cloud server and run a few web kit loaders to minimize the buffering time between tracks
Accomplishments that I'm proud of
I am proud of the simplicity I implemented in this project to allow the user the ultimate distraction less relaxation session for music.
What I learned
I learned how to optimize and research into further optimization on Google cloud platform utilizing their AI frameworks for analytics on run time and storage management for my songs
What's next for Just Chill
Just Chill will be scaled at a more marketable level and allow a platform for other artists to display their content on the site for a small fee, in order to offset the cost and increase non-ad revenue.
Built With
css3
html5
javascript
Try it out
justchill.online | Just Chill | A Relaxing Lo-Fi Player with minimal distractions to help you focus or de-stress | ['Jarrel Thomas'] | [] | ['css3', 'html5', 'javascript'] | 46 |
10,403 | https://devpost.com/software/gamedex-1ec7nz | Welcome to GameDex !
About GameDex
Pick your new game at GameDex
Critics rated and most widely sold Game List.
We help u select the most popular Gaming Platforms.
Some Visualizations about the most popular Platforms and Genres preferred.
Inspiration
I, like many others, have began playing Video Games more and more due to quarantine, and I have noticed that sometimes when I complete a Game, I am in a dilemma the next day of what to play next. Without an opinion your next game might end up as a waste of time and can lead to unwanted regret. I wanted to find a solution that would help people find the correct opinion based on Data Interpretation and offer suggestions for the next Game that would suit you.
What it does
GameDex is a website that allows you to choose your next or first game carefully, and the website identifies different Genres and Platforms that you are play your games and provided with User and Critic scores (out of 10 and out of 100 respectively) for the game you are looking for. After looking for the game, users can proceed to an informational page for that game or the publisher's website for downloading and further assistance.
How We built it
We built GameDex using the basic web development tools and customized the present dataset to identify and visualize different games based on their Genres and Platforms they can be played on. We incorporated the model in Netlify and created the website.
Challenges We ran into
The initial problem was to categorize the games and then making the Website responsive was one of the few major upsets but we tackled it satisfactorily.
Accomplishments that We're proud of
Developing a simple Idea into a real-time website and incorporating all of that within 24 hours.
What's next for GameDex !
We hope that in the coming times we are able to incorporate ML models to provide users the perfect game from their expectations from the game, right on in our own website!
Built With
css3
html5
javascript
jupyternotebook
python
Try it out
github.com
gamedex.netlify.app | GameDex | To provide Gamers with the Visualizations to select their next Video Game wisely. | ['Sanket Puhan'] | [] | ['css3', 'html5', 'javascript', 'jupyternotebook', 'python'] | 47 |
10,403 | https://devpost.com/software/hackcation-mlh | Technology stack
Technology stack
Google Analytics
Google Data Studio
Wordpress
Google Cloud Monitering
Google Cloud for Hosting VM
Project Description:-
Used Google Cloud for hosting Virtual machine. After that installed WordPress on that Virtual machine. When Initially I created Virtual Machine its IP was dynamic which I made static as it was necessary. To track Virtual Machine's performance and know other details like API Requests (per/sec), bytes received by VM, bytes send by VM. After that, I designed the whole webpage using WordPress. When my design is done I decided to track the user's record (data) using Google Analytics for which I created a new project on Google Analytics and put 5 lines of javascript code on my webpage header section to enable google analytics. To go one step ahead (i.e to generate useful data from Google Analytics) I connected Google Analytics as a source of data to Google Data Studio which helps to know users (traffic which comes to the site) much better.
In order to see my work (demo) you watch the above video
Google Cloud for Hosting VM - Screenshot
Google Cloud Monitering - Screenshot
Google Analytics - Screenshot
Google Data Studio - Screenshot
Wordpress by Bitnami - Screenshot
Built With
elementor
google-analytics
google-cloud
google-data-studio
wordpress
Try it out
github.com | Web designing & hosting using Google Cloud +Google Analysis | Used Google Cloud for hosting the Virtual machine. To track user's record (data) using Google Analytics. | ['pranita patil', 'Sanket Patil'] | ['Best Try'] | ['elementor', 'google-analytics', 'google-cloud', 'google-data-studio', 'wordpress'] | 48 |
10,403 | https://devpost.com/software/stice-cpo5ne | Inspiration
The current situation due to the pandemic has inspired us to create stice a platform that strives to help our community
What it does
It helps people complete tasks which they cannot do on their own
The user can set a task which gets can be accepted by users nearby who can then complete the task for free or for some money . Also they can send alerts if they are going to a shop and people can ask them to bring something which they need saving time
How we built it
We built the app using android studio
,database with firebase
and website using flutter
Challenges we ran into
none of knew very high level android studio therefor making it was a huge challenge. Also , it was our first time using firebase
Accomplishments that we're proud of
we accomplished what we planned and managed to create an effective platform that can be used by our community in the end of the day we were able to make a difference
What we learned
We learned how to connect android apps to firebase and use firebase-cloud-messaging for sending push notifications
What's next for Stice
We want to deploy this on play store and create an Ios version
Presentation
https://docs.google.com/presentation/d/1CuZFGFPkIaa8hVuYlZUYrcm8D5RQ00DgtDBjjMfI2PI/edit?ts=5ef8babb
Built With
android-studio
firebase
flutter
Try it out
docs.google.com
github.com | Stice | One smile; One kind deed; One helping hand, can change someone’s entire day | ['Siddharth Agrawal', 'Saloni Agrawal', 'vedika lodha', 'Madhav Lodha'] | [] | ['android-studio', 'firebase', 'flutter'] | 49 |
10,403 | https://devpost.com/software/alustic | Home Screen For Alustic
Quiz Question For Personalized Music
Music Player For Alustic
Music Player For Alustic
Quiz Question For Personalized Music
Inspiration
Almost 50% of people in the US alone are stressed and not relaxed.
This just shows how many people are in need for a solution that works. After analyzing these statistics I was sure that this was a problem I would want to help solve.
Using data I found the best songs for every situation. These situations range from sleeping to working. Using all of these I was able to create an app that helps with this problem massively.
What it does
The analytics consists of many songs depending on selected situations. I use these to play specialized songs depending on what they are thinking and doing.
We have separate pages depending on what you select in the quiz.
The quiz consists of many questions that will alter the experience of the app. One example is
when you pick an image in the quiz, the app will automatically change the UI to make it fit your feeling.
Users can use all of these capabilities to fulfill their main goal of staying calm.
How I built it
The entire app was made using Xcode and the programming language swift. I used the frameworks and
APIs
,
AVAudioPlayer
and UIKit. I implemented many features through the code including my music player which utilized AVAudioPlayer. By using this I was able to make my entire audio player with custom music. To design my app I used AdobeXD.
Challenges I ran into
I ran into many problems involving me implementing AVAudioPlayer. This took up a lot of my time, but after doing some research I was able to solve the problem and finish off the app.
Accomplishments that I'm proud of
I am proud that this is my second hackathon and I am already starting to get the hang of the process. I am very impressed with how my app turned out after countless hours of work. I am happy that my app has made an effect on the world, and I will be apart of this.
What I learned
I learned a lot from this hackathon, so much that I cant event list them all here. Along with becoming much better with using APIs and Frameworks in Swift, I also learned a lot about hackathons in general and became much more comfortable with competing in coding competitions.
What's next for Alustic
In the future I want to implement many more features into my app, and overall extend it into the marketplace. I think this app is a great idea and has a lot of potential in the future.
Built With
adobexd
avaudioplayer
data
swift
uikit
Try it out
github.com | Alustic | Using Swift to help people relax by listening to personalized music. | ['Navadeep Budda'] | [] | ['adobexd', 'avaudioplayer', 'data', 'swift', 'uikit'] | 50 |
10,403 | https://devpost.com/software/peregrine-discord-bot | Team mates
Inspiration
This concept came to fruition after watching multiple people come into the Tech Haven discord complaining about different security issues. Anything from token stealers to IP grabbers or even RATs being downloaded by unsuspecting members.
In order to really run this idea home, I think it’s important to frame the problem we’re trying to address: Discord is a sort of breeding ground for phishing and malicious activity against otherwise uninformed end users. Bad actors are constantly posting malicious executables, fake nitro gift alerts, token stealers, and IP grabbing phishing sites. Sometimes, the goal is to compromise a system with a RAT (Remote Access Trojan), and other times it’s to steal Discord account tokens from administrators in order to take over a Discord server. Immediately after getting into contact with my team members and explaining the vision and goals of the bot, these professionals instantly saw opportunities to apply best practices to not only improve the code behind the bot, but also ways to improve accessibility and reliability through implementing a GUI and the potential of implementing a database to store past results. Improving runtime, responsiveness, and making it easier to add new features in the future.
What it does
This bot listens for URLs posted in a Discord server and submits them to the Hybrid-Analysis website from CrowdStrike.
How I built it
The bot is written in Python and was quickly jumbled together at the start of this hackathon so that I could provide a Proof of Concept to developers, so it was far from ready for actual use let alone at scale. This is now being cleaned up and brought in line with better practices by our back end developers, and a GUI has been developed by our front end developer using JavaScript and React. We are utilizing Discord.py library to handle the bot and the VxAPI.py library to make calls to the HybridAnalysis API.
Challenges I ran into
The biggest challenge I ran into was coding the bot itself. While I was able to get a working PoC to demo to our team, I was making calls to the API in a way that was neither optimized nor best practice. Another challenge I ran into was integrating the code in a way that it could handle a mass of URLs in one post, multiple URLs at a given time, and reliably updating the message blocks.
Accomplishments that I'm proud of
I'm proud of how quickly this group of strangers came together and rallied behind the concept. Personally, I've learned quite a bit about how AWS works and more about JSON data than I knew previously. Being a holiday weekend we quickly worked together to push this project into a state where we can showcase it to you all.
What I learned
Personally, I've learned quite a bit about AWS, JSON data structures, NoSQL tables, and best practices related to file structure and efficiency in Python code.
What's next for Peregrine Discord Bot
We have a whole list of ideas for features to add to the bot. Our first focus will be adding in both a static and custom whitelist to reduce bot intervention on known good websites, followed by implementing a NoSQL database that we can query for previously scanned URLs, track user behaviors, and provide more actionable data to Discord administrators.
--- KEEP IN MIND THAT IF YOU CHOOSE TO RUN THIS CODE YOU WILL NEED A DISCORD DEVELOPER BOT WITH A TOKEN AND A HYBRID ANALYSIS PUBLIC API TOKEN FOR THE CONFIGURATION FILES. THESE TOKENS HAVE BEEN SCRUBBED FOR SECURITY ---
Built With
amazon-web-services
javascript
python
react
Try it out
github.com | Peregrine Discord Bot | Peregrine Malware Defense: Protect your communities from malicious actors. | ['https://github.com/varunan-vara/Peregrine-interface', 'Varunan Varathan', 'Justin Garcia', 'Chase Rensberger'] | [] | ['amazon-web-services', 'javascript', 'python', 'react'] | 51 |
10,403 | https://devpost.com/software/vacation-buddy | Inspiration
Planning a trip with multiple friends is hard to manage.
Our motivation behind Vacation Buddy is to make memories and travel more with people you cared about.
There are many apps that help you find travel partners but none that helps you to plan a trip with friends and family. Vacation Buddy integrates the social aspect together with social feed to post travel photos, videos, stories, or advice.
What it does
For our MVP we are planning to have:
Users can initiate a trip that needs to be planned
Users can add tasks for things that need to plan with a due date
Users can assign individuals to tasks
Yelp / TripAdvisor or similar third party API integration to assist in finding places to eat or excursions
Logging of historic trips for future reference
Map feature to plot trip events
How we built it
We built it using React js, Material-UI, and CSS3 for the frontend. For authentication, we are using Firebase authentication and Firebase database. Firebase helped us to leverage a REST API that serves all the requests to our frontend.
Challenges we ran into
Some challenges that we faced were understanding and using React hooks. Since it is our first time using React hooks it was hard to make it work with Firebase but in the end, we made it work thanks to the persistence of our main developer You Song.
What we learned
We learned to work with firebase, firebase authentication, React hooks, React hooks useEffect, and Material-UI.
What's next for Vacation Buddy
Follow up reminders, either in-app or through some third-party service, when incomplete tasks are close to the due date
View to see the proposed itinerary as events for the trip are confirmed
Integration with google calendar
Chat functionality to discuss plans
For tasks that each person needs to do (i.e. book plane tickets or if the plan is to go sailing one day, purchase a ticket for a sailing cruise), confirmation that everyone completed the task
Voting feature if there are disagreements on what to do during the trip
The social aspect where users can have to add friends and view their friends' past trips for ideas
Collecting photo / video / audio during the trip
Built With
css3
firebase
hook
html5
material-ui
react
Try it out
github.com | Vacation Buddy | Planning a trip with multiple friends is hard to manage. Vacation Buddy is everything you need to make your travel dreams come true. Travel more with people you care. | ['You Song H', 'Albert C'] | [] | ['css3', 'firebase', 'hook', 'html5', 'material-ui', 'react'] | 52 |
10,403 | https://devpost.com/software/content-concealer | A screenshot of the website's how-to section
Website's stats section
What it does
Our chrome extension allows our users to remove paragraphs that contain triggering words. While we joke about using the extension to block messages about work in the video, our extension can be used in a more serious way in exposure therapy.
"Exposure Therapy is where psychologists create a safe environment in which to 'expose' individuals to the things they fear and avoid. The exposure to the feared objects, activities or situations in a safe environment helps reduce fear and decrease avoidance."
Our extension helps create that environment by allowing the user to act normally on social media while slowly integrate themselves back into a normal environment. For more information about Exposure Therapy, our app, and our team check out our demo website in our github repo under website>01 Datarc>datarc>index.html.
Inspiration
In all honesty, the application started as a joke extension for the theme of Hackation, but as we developed the product we became away of the more serious uses. We both have several family and friends that have suffered from either Anxiety or PTSD. As a matter of fact, around 8% of Americans have be diagnosed with PTSD and 18.1% of American are currently suffering/diagnosed with anxiety. Thankfully, 90% of those whom received exposure therapy have recovered. Unfortunately, many people are unable to receive treatment because of monetary/social reasons. Our Chrome Extension works in both a formal setting and an informal setting. Those who wish to seek treatment but do not wish/are unable to get formal help can download and monitor their own settings!
How we built it
We built the extension on Google Chrome using json, html, css and javascript. We created our website through bootstrap, html, and css. We registered the domain "
www.contentconcealer.online
" for our demo page. Brendan mainly worked on our website and branding while Danielle mainly worked on the extension itself.
Challenges we ran into
Brendan had no prior experience with HTML or CSS, but Danielle was able to help him out and guide him through his first website!
Neither of us had experience with creating a chrome extension, but Google has a lot of great resources and tutorials that we were able to take advantage of!
Accomplishments that we're proud of
Brendan made his first website!
Danielle made her first chrome extension!
We educated ourselves on important issues.
We had FUN!
What we learned
We learned a lot about mental health's relationship to technology through our research with anxiety, PTSD, and exposure therapy. If you would like to learn more about exposure therapy, check out our demo site! We also learned how to work as a team on a code by using github!
What's next for Content Concealer
If we had the time, we would figure out how to get the extension on the Chrome Store. We could also expand Content Concealer's capabilities by using Object Recognition to block out objects and create a word storage bank to allow the user multiple entries. We will also expand it beyond just google chrome.
Hope You All Had A Great Time This Weekend! Goodluck!
Built With
bootstrap
css
html
javascript
Try it out
github.com
www.contentconcealer.online
tinyurl.com | Content Concealer | Content Concealer is a Chrome extension that allows users to block triggering paragraphs on the web. It is a useful tool for helping people control their enviornment in exposure therapy.. | ['Danielle Zevitz', 'Brendan Pulju'] | [] | ['bootstrap', 'css', 'html', 'javascript'] | 53 |
10,403 | https://devpost.com/software/eduvacation | Welcome Page
My Trips
Attractions
Quiz Question
Trip Ended
Possible Destinations
Inspiration
When I would go on vacation with my family, we would visit amusement parks and other tourist attractions of the like. While vacations should be fun, I really regret not being able to visit more of the educational places on my trip, and I fear that other kids feel the same. I built Eduvacation to promote the idea that vacation can be fun, exciting and educational all at the same time!
What it does
Eduvacation provides the user with educational-oriented tourist attractions (such as museums, science centers and historical places) located near around a thousand destination spots across the globe. Once a user has visited one of these points of interest, they must answer a related question as a way of inquiring them on how much they learned and ensuring they made the most out of their visit. The app also optionally tracks the user's location (the user should physically be next to a site to answer a quiz question) as to prevent them from potentially cheating! Each trip is added to the user's log for personal keeping and remembrance (and bragging rights!)
How I built it
Eduvacation is an iOS app built using Xcode and the Swift programming language. The app retrieves information about cities and quiz questions from a Python backend created using Flask; this program scrapes Wikipedia articles to formulate such questions. The list of attractions for each vacation spot is sent from the Google Cloud Places API, which is displayed on the map within the app.
Challenges I ran into
The major challenge I ran into was setting up frontend-backend communication using REST, especially when receiving JSON responses and decoding them into usable information. I also ran into a bit of trouble storing local data within the iOS app using the DocumentsDirectory archive, but lots of effort and time into testing and debugging allowed me to solve these issue.
Accomplishments that I'm proud of
I'm really proud that I was able to solve the challenges I stated above; it is the first hackathon project that I have had to implement these features in, and therefore I'm really satisfied with the end result. Also, this project was really cumbersome and required a lot of effort and dedication, placing itself in a group of hackathon projects that I normally would not have been able to finish on time. While I am definitely grateful for an extra day to work on Eduvacation, I had doubts about whether I would have been able to complete it. I truly believe that hackathons have improved my ability to work and manage time efficiently.
What I learned
I learned a lot about new topics I would never have knew about if it weren't for Eduvacation. For example, I am grateful to have learned about the usefulness and versatility of REST and will definitely use it for future projects. In the past, I never actually found a solid way to connect a Swift frontend and Python backend, and that always left my projects incomplete.
What's next for Eduvacation
First and foremost, Eduvacation's current features can be improved upon. For example, the web scraping is a bit error-prone and outputs questions that are unclear from time to time. Hopefully, I can find new sources to webscrape (or more generally receive data) from to alleviate this issue. I also want to add more features that make the app more usable and enjoyable! This is an app focused towards kids after all, and I want to make sure they have as much as fun as possible when using it. For example, I could add a better incentivization system to encourage kids to visit education attractions more and even share their experiences with others.
Built With
core-location
flask
google-cloud
python
swift
Try it out
github.com | Eduvacation | An interactive educational app for kids on vacation! | ['Ashwin Rajesh'] | [] | ['core-location', 'flask', 'google-cloud', 'python', 'swift'] | 54 |
10,403 | https://devpost.com/software/ditch-delivery | Ditch-delivery.com is an innovative solution to an widespread problem: limited money and busy schedules. Many recipes require at least an hour cooking time. Fast food is bad for your wallet and bad for your health. What if you could cook dinner in 25 minutes? 15 minutes? How about 5? Ditch-delivery.com provides easy recipes organized by how long it takes to make them. It's quick, easy, and free. We help you Ditch delivery, save money, and live smarter.
ditch-delivery
Built With
bootstrap
css
html
html5
javascript
Try it out
github.com | Ditch-delivery website | Ditch delivery, save money, and live smarter. | ['Prathamesh Kulkarni', 'Stacey Shpaner'] | [] | ['bootstrap', 'css', 'html', 'html5', 'javascript'] | 55 |
10,403 | https://devpost.com/software/vacation-finder | Inspiration
With the COVID-19 virus, safety is a huge issue when traveling. Travelers should be completely informed about how the country is performing when traveling to new areas, especially when traveling internationally.
What it does
Our program is a Discord bot that asks the user to enter a country they are interested in visiting. Then, if the country is in our database, we will provide them articles about travel restrictions and the country's COVID-19 statistics, including the number of cases, deaths, and recoveries. We will compare the death rate (death / cases) to the average death rate in the world, and determine if the area is safe to visit.
How we built it
We used the computer language Python and the libraries Pandas, Beautiful Soup, Discord, and Requests. Pandas, Beautiful Soup, and Requests are used to parse through the HTML text to search for certain keywords, such as the name of the country. The program can be used on platform Discord.
Challenges we ran into
This is our first time parsing through HTML and utilizing web scraping using Python. So, we had to spend an extended amount of time learning the method. Many countries in the database do not follow the pattern of formatting during the parsing process, thus the program being unable to identify them, and many countries are not in the database at all.
Accomplishments that we're proud of
This is both of our first hackathons so we are proud that we were able to learn so much in a short amount of time and have a project to show for it! We successfully managed to use Python to parse through HTML. We also managed to implement that process in a Discord bot, so the program is more user friendly.
What we learned
We learned how to use Pandas, Beautiful Soup, and Requests. We also learned how to use Python to access the internet, and parse through different types of data by finding patterns in the HTML code.
What's next for Vacation Finder
Right now, the bot can only search by country. We plan to improve the bot so that it can search for COVID-19 statistics by city or even region. We also plan to find a better way to determine the safety of a location, as the death rate may not be sufficient enough information. Last, we plan to suggest hotels and airports based on the safety of the area. That way, travelers can make the most informed decision.
Built With
beautiful-soup
discord
pandas
python
requests
Try it out
github.com | Vacation Finder | With the COVID-19 virus, safety is a huge issue when traveling. This Discord bot, Vacation Finder, will inform users if is safe enough to travel there, so users can make the most informed decision. | ['Catherine Chu', 'Thomas Ochs'] | [] | ['beautiful-soup', 'discord', 'pandas', 'python', 'requests'] | 56 |
10,403 | https://devpost.com/software/quarantine-fourteen | Title screen
Intro text part 1
Intro text part 2
GIF
Intro sequence
First screen
After drinking coffee
Inspiration
*gestures vaguely around me*
What it does
Your character has 2 key stats: energy and fulfillment. What's the goal? Make it out of quarantine with the maximum energy and fulfillment!
10 times a day, you pick an action that will change your stats in different ways. Choose wisely! The actions you choose could have different effects depending on how they're combined.
How I built it
We used Python for the internals and a Python library called ASCIImatics for the frontend.
Challenges I ran into
Merge conflicts. Those are tough.
Accomplishments that I'm proud of
This was the first game for 2 out of 3 of our team members!
What I learned
How to use a Python library that generates ASCII art.
What's next for Quarantine Fourteen
We want to finish the game so players get the full 14-day quarantine gameplay. Maybe it could be extended to have a deployment online?
Built With
asciimatics
python
Try it out
github.com | Quarantine Fourteen | You're stuck in your apartment for a 14-day quarantine - how do you survive? Quarantine Fourteen is a text-based adventure game simulating the conditions that many of us are in right now. | ['Johanan Idicula', 'Marie J.I.', 'David Lougheed'] | [] | ['asciimatics', 'python'] | 57 |
10,403 | https://devpost.com/software/loosen-pup-izbh0g | Inspiration:
Everybody gets stressed. Everybody needs a break. Everybody loves doggos.
I looked at cute pictures of puppies to combat stress once which seemed to work really well in destressing me. I also remember hearing one of my teachers telling me that the average attention span is around 45 minutes. Thus, I came up with the idea to make a program that tells you to take a break every 45 minutes
and
shows you pictures of puppies to calm yourself and relax, and Loosen Pup was born.
What Loosen Pup is:
Loosen Pup is a Python program which reminds you to take a break every 45 minutes and help de-stress (loosen up) with pictures of dogs randomly generated. This is especially helpful for online classes where our eyes need rest every 45 minutes or so. Additionally, as mentioned above, the average attention span of young adults is about 45 minutes, after which you understand little subject matter/information.
How Loosen Pup was Built:
Loosen Pup uses the
Dog API
through the
random-dog
python package. This large database practically guarantees a new doggo pic every time. It also uses the
time
package to remind you every 45 minutes to take a break, and the
os
package to delete the previous image (to avoid cluttering your desktop).
Built With
dog-api
os
python
random-dog
time
Try it out
github.com | Loosen Pup | A Python program which reminds you to take a break every 45 minutes, and help de-stress with pictures of dogs randomly generated and saved to your desktop. | ['Vikram Jaisingh'] | [] | ['dog-api', 'os', 'python', 'random-dog', 'time'] | 58 |
10,403 | https://devpost.com/software/moment-to-moment | Visual guide for performing breathing exercises
Scrolling through gratitude statements
Inspiration
The ongoing impact of COVID-19, horrendous killing of George Floyd along with countless others, and growing awareness and discussion of injustices towards minorities have taken a toll on so many people. As such, we took this opportunity to create a relaxing hack while going back to basics, exploring how extensively CSS has grown in the past decade.
What it does
Upon entering our website, soothing music starts playing as users are invited to breathe along with our visual guide. Users can change the background page theme at anytime from outer space to lapping waves to a time lapse of the aurora borealis. Our website also offers some inspiring and uplifting quotes, randomly generated, as well as a space that scrolls through what we've been grateful for in past.
How we built it
We used pure HTML, Javascript, and CSS.
Challenges we ran into
Layouts, layering, and containers were stumbling blocks, but we eventually figured it out.
Accomplishments that we're proud of
We created a fairly elaborate website with impeccable design — and it was our first time attempting to incorporate these features.
What we learned
We learned how to collaborate on Github and about the importance of compartmentalizing code. Through this project, we found that CSS can accomplish so much alone and can even replace what Javascript was a go-to for. Of course, CSS can only go so far and there is still a place and need for Javascript.
What's next for Moment to Moment
Make it available as a downloadable app
Built With
css
html
javascript
Try it out
moment-to-moment.glitch.me
405found.tech | Moment to Moment | Cultivating moment-to-moment awareness and gratitude | ['Anita Yip', 'jiuu Pak'] | [] | ['css', 'html', 'javascript'] | 59 |
10,403 | https://devpost.com/software/secure-the-bag | Main Page
City Input
Date Input
Length of the Trip Input
Recommended Items Demo
Amazon Echo Device Provided by MLH & Digikey
Domain.com submission
https://PackYourBag.online/
Inspiration
Packing is one of the most stressful elements while preparing for a vacation. Therefore,
Secure the Bag
was designed to provide personalized packing recommendations to the traveler through a
website
and
Alexa Skill
.
What it does
Our project helps a traveler "Secure his bag" for a trip. The user gives the location of the trip, date of arrival, and length of the travel. Based on the provided input, our platform will find data about the location's climate, temperature, wind, and places. This data is then processed in our server and we output a list of personalized recommendation items for the travel.
The traveler has 2 ways of accessing our project:
1) Using an Amazon Alexa powered device (e.g Echo Dot Hardware ) & invoking our skill by saying 'Secure the Bag' and following the dialog
2) Going on our Website hosted on Google Cloud (
https://PackYourBag.online/
) and typing the information
How I built it
Website:
The frontend was built on HTML, CSS, Javascript & JQuery.
The backend was built in Python using the Flask framework
The server is hosted on Google Cloud through Google App Engine to process the data using weather & geolocation APIs.
Alexa Skill:
The Alexa Skill was built using an AWS Lambda Function written in Python that uses voice intents and slots to get the data from the user and then process the data using weather & geolocation APIs.
Logic:
The packing recommendation for the traveler is defined based on observational data from our group and then we scaled with weather, temperature, and locational categories to give the person the correct amount of items for each trip.
Challenges I ran into
Since our entire team was presented with new technologies, we had challenges in the frontend, backend, and Alexa Skill. On the frontend, we had trouble displaying the correct item images, aligning our grids, and creating an appealing design. On the backend, we had to think about the processing of all the data while making meaningful packing recommendations based on the number of days and locations. Therefore, we had to create 2 data structures to categorize all of our item recommendations and make sure '7 umbrellas' is converted to '1 umbrella'. As if this was not enough, everything on the Alexa Skill was a rollercoaster. We had to change how the dialogs worked to make sure we would get the city, date, and length of trip parameters to generate the packing recommendations.
Accomplishments that I'm proud of
Creating an Alexa Skill & a website with an impactful idea of assisting people with packing. Learning how to create dialogs on the Alexa kit and processing the data on an AWS Lambda Function. Finishing a really awesome project with 50% of our team being first-time hackers!
What I learned
We learned how to work together as a team and mentor each other while working on this project. In addition, it was really cool to see how the development of Alexa Skill works. Also, we learned how to properly link our domain.com domain with GCP.
What's next for Secure the Bag
We want to launch our Alexa Skill on the Amazon Marketplace to share the functionality of the project with millions of people around the globe. With time, we will improve our outputs & data processing.
Built With
alexa
amazon-alexa
amazon-web-services
css3
flask
google-app-engine
google-cloud
html5
javascript
lambda
python
Try it out
packyourbag.online | Secure the Bag | A personal packing assistant for traveling that works on a website and Alexa Skill | ['Nathan Kurelo Wilk', 'Ben Ruddy', 'Pavel Shilenko', 'Reece Pounder'] | [] | ['alexa', 'amazon-alexa', 'amazon-web-services', 'css3', 'flask', 'google-app-engine', 'google-cloud', 'html5', 'javascript', 'lambda', 'python'] | 60 |
10,403 | https://devpost.com/software/cheap-flights | Alexa Console
Echo dot
Inspiration
People often enjoy vacationing to relaxation havens in order to take a break from their daily life and enjoy themselves. But with tickets to popular relaxation places that cost as much as 2000 dollars, it's hard to find your perfect vacation. So I created the Alexa skill cheap flights skill, that allows users to find cheap flights to their favorite places.
What it does
After you tell Alexa to use the cheap flights skill, you simply tell Alexa to fly from one airport to another (for example "fly from ORD to ATL"). Then Alexa would tell you about the cost, airline, and dates of the three cheapest flights. Alternatively, you can tell your origin, destination and date of your flight to get the information of the three cheapest flights.
How I built it
I used the Amazon Alexa console to create all the utterance and intents of the skill (the phrases the user would say so the backend could figure out the origin, destination, and possibly date of the trip). I built the code for the backend on VS Code, using Axios to make requests to the Sky Scanner Api in order to get information about the cheapest flights. Then, I parsed that information and returned JSON containing the information back to Alexa to say it. The code was deployed to AWS Lambda in order to make the application serverless and scalable.
Challenges I ran into
This was the first Alexa skill I created, so I had lots of difficulty setting the backend up. Especially, since I had to bundle npm packages like Axios with the code and I had to deploy the code to the lambda every time I had to test it.
Accomplishments that I'm proud of
I created my first Alexa skill, so future Alexa skills would be much easier to create given that I know have the experience! So, I'm really looking forward to making more Alexa skills that can help others.
What I learned
I learned how to create lambdas compatible with Alexa skills. This will be very helpful for making future Alexa skills.
What's next for Cheap Flights
I plan to add more features and make the skill public so that it will be accessible to everyone and help them with their flights.
Built With
alexa
axios
lambda
node.js
skyscanner
Try it out
github.com | Cheap Flights | An Alexa skill that easily enables users to get information about cheap flights to their favorite destinations | ['ram potham'] | [] | ['alexa', 'axios', 'lambda', 'node.js', 'skyscanner'] | 61 |
10,403 | https://devpost.com/software/wheres_wit | Where's WiT?
My project for MLH Hackcation 2020
Published at
https://ahudspith.github.io/wheres_wit/
This is my project for the MLH Summer League Hackcation
What
I have decided to make a Where's Wally/Waldo style game based around Women in Tech
I have used HTML, CSS and JS for this project.
Why
I am really passionate about Women in Tech, and helped to found the WiT society at my uni.
I am also very aware that in order to increase the number of WiT we need to start with getting more girls into tech!
I thought that creating a game to teach young girls about awesome WiT would help to inspire them.
I have also been wanting to experiment with the
p5.js
library for a while now as a fan of
The Coding Train
. With the theme of Hackcation being to take a break, I thought I'd take a break from my day-to-day coding work and take the time to learn something new just for fun!
How
This is my first time using JS for more than just a form on a webpage and is my first time using the p5.js library.
I created a GitHub repo for my project and created the blank README.md, index.html, styles.css and sketch.js files. I was then able to populate these files with the generic structure to start making a p5.js project.
To publish my project I made use of GitHub pages which is a quick and free way to publish straight from a GitHub repo.
I created the avatars for the game using
Vectornator
which is a free Mac and iOS app for graphic design.
What next
At the moment the code is very basic and the game is the same each time.
I want to continue this project by:
creating more avatars
including more WiT
making the scenes randomly lay themselves about
Built With
css
html
javascript
Try it out
ahudspith.github.io | Where's WiT? | A Where's Wally/Waldo style game to teach girls about amazing Women in Tech | ['Amy Hudspith'] | [] | ['css', 'html', 'javascript'] | 62 |
10,403 | https://devpost.com/software/miniature-vessels-of-war | Inspiration
Back in high school I used to play this awesome game called tiny tanks, but it had many issues and recently was starting get shut down. So we wanted to recreate the game with more modernized performance.
What it does
This is a full multiplayer online web game where individuals can log in and start fighting in an arena using tank like characters.
How we built it
The project was built entirely in NodeJS and took advantage of the HTML Canvas for the assets. We then launched the application on google cloud platform using the google app engine.
Challenges we ran into
A lot of the challenges of the project were that it was very difficult to test without having a lot of the skeleton code creates. So for the first 12 hours we could not test as we were just building out the logic. From there we had to spend about 2 hours debugging any typos or just mishandles logic.
Accomplishments that we're proud of
We were able to achieve are minimal viable product very fast. We were able to quickly learn how to use
socket.io
and figure out how to split our client/server logic.
We were also able to create quite smooth controls that feel good to play.
What we learned
We learned a ton about how to setup networking to manage multi-user applications. Mainly how to manage web sockets and split functionality between the client and server.
What's next for Miniature Vessels of War
We are going to be adding a ton of new features in the future. We also planned on redirecting the traffic to the domain we got
miniaturevesselsofwar.online
[ ] Powerups
[ ] Campaign mode
[ ] New game modes
[ ] Individual game lobbies
[ ] Team capture the flag
This project was tons of fun so we will definitely be continuing in the future.
Built With
express.js
node.js
websockets
Try it out
ninth-moment-257110.ue.r.appspot.com | Miniature Vessels of War | A recreation of a childhood classic. | ['Vineeth Voruganti', 'Maia Ohlinger'] | [] | ['express.js', 'node.js', 'websockets'] | 63 |
10,403 | https://devpost.com/software/covid-alexa-skill | What it does
Analyzes your symptoms for COVID-19 with a self-assessment.
How I built it
NodeJS backend handles all requests sent to Alexa.
Challenges I ran into
Learning how to build Alexa skills
Try it out
github.com | COVID Alexa Skill | Symptom Analyzer | ['Sai Vedagiri'] | [] | [] | 64 |
10,403 | https://devpost.com/software/covid19-kit | dashboard
please check video for the features of the app
booking an appointment with the proctor/ faculty
project and document submission
creating channels for online teaching and mentorship
please check the mentioned github repo for the App. This app is for caretakers of patients with serebral pasly and people on wheelchais.
body temperature, heart rate, alarm functionality with data stored in the cloud database.
dues and assignments
messaging services
online proctored tests
Inspiration
During online classes, many students verbally harass the teachers and students of the class. This spoils the whole environment of the class, So we decided to block these students using speech recognition technology.
Then we all must have seen that delivering the things without contact has become a major problem, therefore we designed a hand gesture moving messenger who deliver things to Covid19 infected people in care centers.
What it does
The first part is a
remote education
android app which resolves all the problems stated above. It contains all the features a student will want in his/her app. We tried to involve every activity that we use to do in offline college times in this App. It consists of
Video call functionality
with a special feature of blocking students who are speaking abusive or bad words during a live session. The student will be reported to the admin of the app and all the records of the blocked student will be sent to the admin app. Admin can unblock the student again. Then our app contains a
chat room
for each classroom a student is enrolled in, it will allow the students and teachers to communicate as they use to do in Offline College. Then comes the appointment feature. Before contacting any teacher we have to make an appointment with him/her to ask for their time. So our App includes this cool feature of
appointment
for the students. This reduces the chaos and brings the working thing so that follows proper protocol. Teachers wanted an invigilation system to invigilate students during the test. In our App, we provided this feature by
camera proctored examination
feature. Under this a teacher can proctor all students through their webcams while the students are giving tests, also the teacher can pass their voice in the whole class to
convey messages
during tests. Also, our app has a feature of
assignment submission
. The teachers can upload the assignment questions along with the due date and students on the other hand can upload the solutions of these tests on the app itself.
How I built it
We used the android studio to build a remote education app. For backend, we used firebase realtime database. For identification of abusive words we used IBM speech to text services to convert the speech of the students in text and then we used this text in the loop to find whether he is abusing or not. We took the dataset of abusive words from Kaggle and gitHub.
For our IoT bot, we used the hand gesture sensor and on the basis of the gesture, the robocare bot will move and deliver thing to patients. It can also be used as a wheelchair.
Challenges I ran into
We faced many challenges like detecting and blocking students who speak the abusive language during the live class. We wanted to make something that everyone can relate with offline college activities. Therefore, we need proper planning and structure. The assignment section needed a proper structure to be executed.
Teachers all over the globe wanted a platform for cheat-proof examination. Our challenge was to make a cam proctored examination with cheat-proof features like on leaving the test you can not re-enter it.
Accomplishments that I'm proud of
We are proud of our abusive language detector system which blocks users when they speak bad words. Also, the structure we made is highly related to offline day to day activities. Our cam proctored test system is awesome, and it restricts the user from cheating and helps the invigilator to invigilate during a test.
What I learned
We learned, how to work with the realtime database, how to use IBM's speech to text services to detect abusive words. In this pandemic situation, we learned the complete use of GitHub and how to collaborate our work with teammates. Also, we learned some new IoT features which helped us to make the robocare bot.
What's next for Covid19 Kit
For future aspects we are planning to make a complete, general messenger system for private and government offices which they can use to share files, letters, assigning task and doing all other stuffs which people do in offline office hours.
Built With
android-studio
arduino
e-learning
education.com
firebase
ibm-watson
iot
Try it out
github.com
drive.google.com
drive.google.com | Covid19 Kit | An android app, an IoT device, and a Covid19 tracker, a complete kit for students, doctors, patients, and common people. An IoT bot to follow social distancing practices. | ['Ayush Sharma', 'Elio Jordan Lopes', 'Shaolin Kataria', 'Ritik Gupta', 'DEVANSH MEHTA'] | ['The Wolfram Award'] | ['android-studio', 'arduino', 'e-learning', 'education.com', 'firebase', 'ibm-watson', 'iot'] | 65 |
10,403 | https://devpost.com/software/amazing-not-race-change-name-later | App Logo
GIF
Figma Userflow brainstorming
WALKATION
Are you reminiscing the old days where you could go on vacation?
Are you wishing there was a safe way to travel during COVID-19?
Then
Walkation
is perfect for you!
Once you install walkation you can unlock your dream vacation spots by simply taking a walk in your neighborhood! (Don't forget to put on your mask.)
Inspiration
The air was filled with salt and warm sunlight. The waves were crashing against the sand causing a beautiful and relaxing sound. With flapping wings and squawking noises, seagulls were blazing the sky. Except they weren't. You were simply virtually enjoying your favorite vacation destination from a safe social distance through our
Walkation
app. The Walkation App is inspired by the Pokemon Go app where users are awarded pokemons for exercising. Unlike Pokemon Go , our app doesn't award users with Pokemons. Instead, users gain access to VR/AR tours of their dream destinations. Through these tours users get to
explore
and learn more about their dream destinations. When the tours are given on the VR platform users can even
relax
in their dream locations!
What it does
Walkation enables users to visit the world through an in-depth virtual travel experience. On the maps page, the user can search for a destination they wish to explore, and that destination will then appear on the map with a route plotted to it. In order to unlock that location, the user must walk a specified number of steps, which is equivalent to the distance to that location from the user's current location in kilometers (for example, 4,500 km becomes 4,500 steps). Upon completing their step goal, the user can access a page that provides detailed information about that location, including local recipes, photos, videos, and more. Thus, Walkation encourages users to remain active while enabling them to explore new places.
How we built it
Mobile App
react-native-maps
,
react-native-google-places-autocomplete
,
react-native-maps-directions
- Used for embedded interactive maps, complete with a search bar and routes between locations.
Google APIs, including Directions API, Maps SDK for Android, and Places API
- Enabled routes calculation, marker placement, and map view
Pedometer and location services through the mobile device
- Enabled steps counter and detection of user's current location
Figma
- Used for Wireframing and Color Scheme (click the link to view our design)
Coding Languages
- Javascript, Java, React Native
Challenges we ran into
Working remotely was a burdensome challenge for us because we could not coordinate as well as if we were working together in person. To keep up to date, we needed to communicate and plan effectively via Discord and Google Docs.
Integrating the API's and working with the AR platform as we didn't have much experience with these tools. Online tutorials and articles helped a lot in this regard.
Since so many different individuals were working on the project simultaneously, it was a challenge to keep our app looking cohesive and concise. To maintain a consistent style, we made mocks up of our app utilizing Figma before we began coding. This enabled all of us to be on the same page. We were clear in our messaging to one another about what we were working on, so that we each had a different role.
Accomplishments that we are proud of
Overcoming the above challenges was our biggest accomplishment.
Utilizing the knowledge we gained from the workshops to create our application
Being able to work together and produce something despite our major time zone differences and limited time.
Being able to bring together all of our unique educational backgrounds to produce a product.
Learning that this is a novel idea that others have not created before.
Working together effectively even though most of us did not know each other prior to the hackathon .
Working with a new techstack and stepping out of our comfort zone.
What we learned
We learned how to use various APIs to enable our app's functionality, and how to work together with our different skill sets. In addition, we learned about many tools and libraries that can be used to make our app a reality, and make development easier.
What's next for Walkation
AR Filters that can be used upon unlocking a location
Integration of more information about an unlocked location, including recipes for that location's cuisine, restaurants that serve that location's food, and images and articles that allow the user to experience the location from the comfort of their home.
Built With
google-directions
java
javascript
react-native
redux
Try it out
github.com
www.figma.com
www.figma.com | Walkation | Exercise your right to travel the world! (COVID-19 Edition) | ['Mualla Argin', 'Abhay Baiju', 'Manya Agarwal'] | [] | ['google-directions', 'java', 'javascript', 'react-native', 'redux'] | 66 |
10,404 | https://devpost.com/software/deepdance | GIF
David and Caroline and their skeletons dancing
deepdance
video link
Improve your dancing skills
What it does
David and Caroline Dancing To A Choreograph. David scored 0.337 (from 0 to 1, higher is better).
DeepDance is an app that allows you to upload a video of your favorite dancer that you're trying to emulate and records you copying their choreography. Our algorithm compares your movements with the original dancer and gives you a score describing how well you matched them and gives you useful feedback to improve! After the analysis, it also lets you playback a "skeleton" of yourself next to the original dancer so that it's easier to spot key differences.
Our inspiration
Now that everyone's stuck in quarantine (hopefully), you probably have nothing better to do than post Tik-Toks every day. But if you're like us, your dancing probably isn't as good as you want to be. Wouldn't it be awesome if you could use data-science to improve your dance skills? That's exactly what DeepDance does.
How we built it
We built this application in Python and Javascript using:
OpenPose
A
Flask
integration
Nvidia GTX 2080ti
Laptop Webcams
Volunteer Dancers
Challenges we faced
Robust and fast pose estimation
Video to video synchronization
Pose comparison and evaluation
Front-end to back-end communication
OpenPose
Our app uses a pose estimation deep learning model called
OpenPose
to determine the position of important keypoints on the dancers' bodies in the camera frame.
OpenPose synthesizes confidence maps and Part Affinity Fields produced by a convolutional neural network.
Together, they give enough information to accurately and quickly label or predict where various body parts are located. At each frame in the videos, we compare key metrics such as joint angles and velocities (10 joints total) between the two dancers to determine the difference. Finally, we process the difference between the key metrics to generate a score for each joint and an overall score, as well as feedback for what areas the dancer should focus on to improve.
Scoring metric
Determining how well a dancer is replicating another is not a trivial task.
We spent some time thinking about what differentiates two dancers. We settled on defining a distance metric between the
joint angles of the two dancers at each frame
to determine the "error". After some research, we found researchers who were tackling a
similar problem
of comparing two dancers. They took a very similar approach and selected a
Mahalanobis distance metric between joint angles.
In our case, with the data being a single video source, the Mahalanobis distance metric simplifies to a Euclidean distance. For each joint, we then average this error metric over the whole video length to get a error estimate.
David and Caroline Dancing To YMCA. David scored 0.9336 (from 0 to 1, higher is better).
Using this metric, we were able to see differences in scores for videos where we tried to emulate a dancer versus ones where we danced randomly. However, the error estimate for each joint is in units of radians, which isn't very useful for the user. Additionally, each joint has a different range of values. For example, the elbow joint can range from nearly 0-180 degrees, whereas the hip may only move from 150-180 degrees. This makes the weight of each joint different in the final score.
To solve this
we calculated a z-score of the error.
We selected a standard deviation for the z-score a function of the range of possible values for each joint angle (which
we empirically found through a bunch of videos of us dancing
). By making the standard deviation a function of the range, we are effectively
scaling all of the scores to be on a similar range.
By adjusting the actual function, we can change how much we spread out the data (which is useful to make data understandable by the user, it's more pleasing to see a difference of 55 -> 80 vs. 0.55 -> 0.57). Using the Z-score, we
calculate the percentile and then scale the data
to the right range. Finally, we find the average of the individual joint scores to calculate the overall score, which is on a scale of 0-100.
We are pretty happy with this metric as it is pretty straight-forward, but does a good job of identifying differences between dancers.
We saw clear performance differences between videos where we tried to dance well versus in videos where we didn't.
Syncing Videos
One of the challenges we didn't initially anticipate was that the two videos we're comparing may not be synced. In other words, the
two dancers may start dancing at different timesteps.
However, we are lucky with this project as both videos will have the same song playing in the background, to which the dancers will be synced. Therefore, all we need to do is match the audio on the two videos to sync the dancing. We did a little research and found a
repo on Github
that had done exactly that. The syncing function performs a
fast Fourier transform on the audio to get the signature
in the frequency domain. It then performs
pattern matching on frequency constellations
to determine the offset required to sync the videos.
The app was last modified in 2014 and was written in Python 2, so we had to make a couple of changes to run in Python3 and work with the latest packages.
We plan to clean them up and submit a PR to the repo so that other people can continue to use the package.
Demonstration of the UI.
The Result!
Accomplishments we're proud of
We like the simple, yet well-performing metric we created to score the dancer. We're also infatuated with the skeletons of the dancers we generate because they are such a useful way to see how you should moving (they also look hilarious).
What's next for deepdance
Interactive scores that are highlighted during the video
Evaluative feedback of scores
Improving our metric with temporal tolerance
Creating a recommended instructors database
Expand our app into mobile devices
Acknowledgements
Caroline Janssen for being our super helpful dance instructor!
Built With
caffe
electron
html
javascript
opencv
openpose
python
Try it out
github.com
docs.google.com
drive.google.com | Deep Dance | Accurately track your movement and get feedback on your dancing and movement, by pose estimation with a custom evaluation metric and powered by deep learning | ['jmgoeke', 'Sam Gottlieb', 'Swapnil Pande', 'Daiwei Lu'] | ['Best overall'] | ['caffe', 'electron', 'html', 'javascript', 'opencv', 'openpose', 'python'] | 0 |
10,404 | https://devpost.com/software/edu-audio | Menu
Joining a session
Professor's page
Student's Page
IOS login page
Joining a session in an ios app
IOS Menu
IOS Student's Page
Inspiration
During this unusual pandemic due to COVID-19, all of us around the world were under Quarantine. it can be much harder for those with disabilities or those who need accommodation in reading to perform well academically. At home, many students had to go through a harder learning process due to the lack of technical and educational support. Therefore, we we came up with Edu Audio, which is a Web/Mobile application that allows students listen to both what the professor speaking/writing through Zoom.
What it does
Our Software provides an interface for the professor to take notes. A professor can start a session (which will generate a join code) and as the professor writes, he can click on the convert button which will convert what the professor has written on the app to plain text, through a convolutional neural network. The professor can then pass on what he had written on the board to the DSP students by clicking on "send to student".
A student who is having a hard time seeing the screen can now reach into his/her app or computer and listen to the notes that the professor has written. After the lecture, the professor can close the session which will save a copy of the notes in our firebase database, which both the student and the professor can access with the app.
We put extra emphasis on the UI of the web/mobile app by coding in speech directions. We made big buttons and clicking on a button will tell the user what that button does.
How I built it
For our web app, we used basic web frameworks for the front end and flask for the back end. For our IOS app, we used React-Native that allowed us to utilize the cross-platform language for integrating the application in both Android and IOS. Firebase live database was used to tie the mobile and web app together. Our neural network was originally trained on computer text by a library called pytesseract. We had to retrain it using MNIST datasets so it could recognize handwritten images better.
Challenges I ran into
For more than half of us, this is our first hackathon. Also, we used lots of new technologies. Our teammates did not have any experience in neural network before, which forced us to watch a lot of tutorials. Furthermore, integrating the web-application with that of the mobile had to go through various difficulties due to the use of Firebase and frequent data updates.
Accomplishments that I'm proud of
This was a very ambitious project and we are proud that we pulled it off. Even though it isn't practically usable (if you compare it with something like notability), all the basic functionalities are there are we hope we can work on this application in the future to make the features more user friendly.
What I learned
We learned web/ios frameworks, integration between these devices, and some basics in unsupervised learning.
What's next for Edu Audio
We really need to get a better gpu, add more layers to our network, and retrain the model using only handwritten langauges for a lower loss rate.
Built With
css
firebase
flask
html
javascript
pytesseract
pytorch
react-native
Try it out
github.com | Edu Audio | Smart Educational App For the Visually Impaired | ['Brian Kim', 'Alice Chang', 'Jackie Liu'] | ['Runner up', 'Best use of Google Cloud'] | ['css', 'firebase', 'flask', 'html', 'javascript', 'pytesseract', 'pytorch', 'react-native'] | 1 |
10,404 | https://devpost.com/software/shopwhole | Mobile landing page for returning users
A demonstration of sample products being offered
GIF
Improvement of student behavior predictions as more sales are completed
ShopWhole
Welcome to ShopWhole!
We were brainstorming different potential technologies utilizing crowdsourcing when we realized that crowds have an inherent power that is often wasted. Therefore, we came up with the idea of ShopWhole, a digital marketplace that would enable individual students to collectively purchase products at wholesale prices. We researched current wholesale platforms and found that there are a few that use groups to make joint wholesale purchases. However, they all use a variable price point, meaning that the price depends on the number of people who join and place an order. This is clearly not a practical model for the necessities we intend to sell to college students (e.g. ramen and other common goods). We developed an algorithm that studies consumer purchasing habits to predict how the price point affects the quantity purchased. Then, our algorithm will determine prices that we can lock in and be sure that on average, enough students will place orders for us to not lose money and to be able to continue to offer discounted prices. Using our algorithm, consumers have the satisfaction of a constant, affordable, wholesale price that is not dependent on other customers’ purchases.
As beginner-level programmers, we were challenged by the surprisingly technical tasks that were necessary to create a website while collaborating. This meant learning how to use unfamiliar tools, such as GitHub, Django, MySQL, and even command line, which seemed so intimidating just 2 days ago. In fact, roughly 25% of our hackathon period was spent googling “how to do X in Y” or troubleshooting with each other to even access the website on each of our personal computers. The complexity of using Django (and Bootstrap CSS) showed us the deeper-than-it-looks nature of established web development tools and frameworks. We learned that using these building blocks eliminates a lot of the grunt work of web design, but that trying to make fundamental changes to these templates leads to a mess of errors if not done correctly. On a broader level, our team learned to utilize a combination of Zoom conversion and GitHub commands to pull and push updates cohesively, making us substantially stronger at collaborating on coding projects and on virtual projects in general. While we were unable to work out some minor kinks in our website formatting, we are extremely proud of our profit-optimization method-which we have evaluated with test data from Monte Carlo simulations-and the structure of our website that allows the easy maintenance of user accounts and catalog items.
Future domain (already registered): ShopWhole.com, current listing: 192.81.211.69
Built With
bootstrap
css
django
html
javascript
mysql
python
Try it out
github.com
192.81.211.69 | ShopWhole | A platform for students to collectively place an order for items in bulk, using an optimization algorithm to ensure affordable, locked-in prices. | ['Alex Douglas', 'Vinay Konuru', 'Angela Li', 'Aidan Persaud'] | ['Best Beginner Hackers'] | ['bootstrap', 'css', 'django', 'html', 'javascript', 'mysql', 'python'] | 2 |
10,404 | https://devpost.com/software/pandemic-9m58y0 | Start Menu
SS1
SS2
Pandemic (Hackathon Project)
A short python minigame to play during quarantine!
Objective:
Get into the pothole to advance to the next level.
A vaccine icon will be your final pothole.
Obstacle:
Panda AIs will be your primary foes.
Make one move and they will move as well trying to capture you.
Power ups:
Shiny golden toilet paper - undo one move for the pandas.
Shiny purple toilet paper - undo two moves for the pandas.
Water bottle - ability to move once without pandas following you.
Face mask - Move up two spaces once.
How to play:
Used W,A,S,D to move the player.
Inspiration:
The only inspiration we had was, "Let's make a game!" There's not much to it, so why did we pick this idea? Why not! We are in quarantine after all, so the theme fits perfectly. Though this game is simple, it wasn't as easy as we thought it'd be to develop it. Of course, this also was our first time building an actual game! We're not game developers, but I feel like we took the right path to become one ourselves. With free knowledge floating around on the internet, what can't we learn about?
Built With
pygame
python
Try it out
github.com
drive.google.com | Pandemic | A short python minigame to play during quarantine! | ['JavaWick-Core99K Vue', 'Torri Presler'] | ['Best Jugaad'] | ['pygame', 'python'] | 3 |
10,404 | https://devpost.com/software/dnsgame-jkg28e | The Internet is beautifully complex. Millions of nodes form a decentralized entity that allows us to access information from all over the world. But that got us thinking, what is life like as a packet of information traversing the internet? Here, at DNS Dash, you can experience what that is like. Race against friends to travel from a randomly generated IP to a specified target IP in the fastest time possible! Check out the leaderboards to see who the fastest packets are! Enter a name below and get to racing! If this is your first time playing, scroll down for instructions.
One team member came in with prior understanding of the DNS resolution process, and so we decided to take a twist on that by relying on both the ability for one nameserver to have multiple ips across the globe, as well as being authoritative for multiple domains regardless of tld zone. The backend API was build with Flask and PostgreSQL and deployed to heroku, and was responsible for managing game state and validating ip responses, as well as returning "adjacent" ips. The data for the adjacent ips was found by parsing ~700 zone files for their nameserver, domain, and ip relations. The frontend was done in Vue.js, with globe rendering and marker placement handled by the library globe.gl.
Challenges:
Did not receive com, org, or net zone files in time
API ran slow due to cost limitations
Team started off at 4 people and ended up at 1.5
One team member had to learn a substantial portion of Vue in a day
Team was spread out across 3 time zones
Built With
firebase
flask
heroku
html
javascript
postgresql
python
vue
Try it out
github.com
github.com
dnsgame.web.app | dnsgame | Dash from authoritative nameserver ip to authoritative nameserver ip, hopping across hundreds of tld zones and thousands of miles to get to your destination. | ['Vinay Pillai', 'MichaelGoldberg Goldberg'] | ['Best Jugaad'] | ['firebase', 'flask', 'heroku', 'html', 'javascript', 'postgresql', 'python', 'vue'] | 4 |
10,404 | https://devpost.com/software/onionize-it | Inspiration
In an age of so much free-flowing data at the fingertips of anyone interested from companies to hackers, privacy has become a luxury for the rich and powerful. As such, we are providing tools and news about Tor that make it easier for the everyday person to remain anonymous online.
What It Does
An Onion Service is an anonymized way to host content on the Tor Network. This is facilitated by a server establishing 'Introduction Points' (IP) that then facilitate Users introducing themselves to create a 'Rendezvous Point' (RP). This RP is then an isolated node at which the User and Service are able to 'meet anonymously' and exchange requests and the content requested.
An "Onion-Ring" is a description of the kind of connection formed between Users and Onion Services. This is done through two "Onion-Rings"--the final two Tor circuits that connect the user and the host to the RP. This works well, but in the case of exceptionally effective Flow-Correlation Attacks--see DeepCorr--it might be dangerous for the provider of the content to to reveal themselves this way. Our suggestion is chain more Onion-Rings together.
This utility, in addition to managing automatic 'Onionizing' of the hosted content, is (eventually) intended to manage an automatic 'Broker Onion Service' (BOS) that anonymizes the Host of the Content as but another user of the BOS's services. This occurs by creating a distinct instance of the automatic Onion Service that specifically is paired with another 'User', that is actually the host. This special User is forced to get a RP with the service--the BOS--the exact same way as any other user seeking to access the content in the first place. This means that, even with flow correlation, they appear just as any other User of the service, and so exposing the Host becomes a much more difficult conceptual task.
How
It's Built
It's Designed
The protocol is described as utilizing Elixir's OTP to manage a supervisory structure that manages discrete and isolated Docker instances that are individually responsible for communicating with the Tor-Network--or the Clear Web--as well as each-other.
These Docker instances would be managed by specialized Gen-Servers that would ensure a robust fault tolerant operation of each sub-utility coming together to make the protocol possible.
The Supervisors used partition the tasks based on exposure. The four supervisors--controlled by the master supervisor--for a setup involving a BOS, are as follows:
Anonymous - Responsible for managing outward facing Tor Connection in order to obfuscate Host.
Representation - Responsible for managing internal 'Doll-House' representation of Hosted Content.
Broker - Responsible for managing outward facing Tor Connection that receives incoming requests and delivers outgoing deliveries.
Public - Responsible for sitting in place of the original site to inform past-users where the site has gone to and how to access it safely.
Please know that onionizeit.online is a domain we obtained this weekend, but glitch.com won't let us customize domain until we get thanked by other users - basically use it more.
Challenges that we faced during this project were getting every member familiar with the various tools we planned to use for implementation. Such tools involved Elixir--specifically the Mix and OTP features--which is fault-tolerant and process-based, as well as Docker--which packages the service in order to streamline the onionizing of host sites. All of these protocols prevent leakage of information between the various components we expose and so attempts to guarantee safety.
Challenges We Faced
We had many particular issues with our Coding Environment that made producing a Prototype of the design progressively infeasible. A number of these are enumerated below.
When working on Azure functions locally in VSCode, we ran into numerous errors ranging from not being able to import azure.functions to no values for arguments in the functional call.
Atom crashes every ~30 seconds on certain installations of Windows 10--apparently.
Windows 10 frequently lies about Hyper-V support being completely enabled (this is necessary for Docker to even start).
Many others--unfortunately--but very... enlighteningly.
Accomplishments that we're proud of
We used so many new technologies this weekend--and that's pretty exciting for a team half made up of first-time hackathoners!
All of us got up to speed with Elixir and its Mix and OTP functionalities, Docker and running our very own containers, and of course Tor, onion browsers, and anonymity services in general.
What we learned
Setting up the environment, which entails installing the correct requirements, may be one of the hardest part of any projects. Most of the team had never dealt with Tor, Phoenix, Elixir, Docker, and Azure so there was a very steep learning curve.
We learned about anonymity services, specifically onion browsers, and about packaging services and applications using tools such as Docker. Furthermore, we also learned about the language Elixir and it’s various tools, which are beneficial to the project because of its’ fault-tolerant and process-based nature.
We also learned some cute onion puns sprinkled here and there, leaving us with tears of joy.
For our new hackers--since this was their first hackathon--they learned what it is like to participate in one. From this experience, we learned everything from how to make lemon bars to languages and software tools/games they never had before (Elixir, Pheonix, Scribbl.io, ...).
What's next for Onionize It!
We'll continue working on adding more tracks, including making n-BOS Completely Self-Managing.
More details are on our README, but here is an excerpt from it:
0.1 | Automatically Generate an Onion-Service (to Host Previously Existing Site)
Needs to Be Implemented.
0.2 | Automatically Generate BOS for 1 Host
Needs to Be Implemented.
1.1 | Make BOS Completely Self-Managing for 1 Host (Implement BOS Life-Cycle)
Needs to Be Implemented.
2.1 | Automatically Generate BOS for >1 Host (n-BOS)
Needs to Be Implemented.
2.2 | Make n-BOS Completely Self-Managing (Implement n-BOS Life-Cycle)
Needs to Be Implemented
Built With
azure
bootstrap
css
docker
elixir
html
phoenix
tor
Try it out
onionizeit.glitch.me
github.com
onionizeit.online | Onionize It! With Onion Rings | Providing an easy way to obfuscate the host of the content into looking like a user of their own service along with the latest news on Tor | ['Anita Yip', 'Chloe Champagne', 'Marie McCord', 'Khôra Willis'] | ['Best Domain Registered with Domain.com'] | ['azure', 'bootstrap', 'css', 'docker', 'elixir', 'html', 'phoenix', 'tor'] | 5 |
10,404 | https://devpost.com/software/happy-hour-ywz64q | Inspiration
Give yourself good care and attention, and watch yourself bloom!
What it does
Through the dark and difficult times, when you feel like listening to something that could cheer you up. Or when you are really happy, and want to enjoy the most, or just feel like to relax, Happy Hour is always there for you. We can give you the list of movies, songs, or animes that you wish to watch or listen to. Just tell us your hobbies and interests, the rest is waiting for you.
How we built it
Our website Happy Hour, is built on the Django framework and hosted on Heroku servers.The entire code has been developed using Python programming language. The frontend is designed using HTML, CSS, and Bootstrap.
Challenges we ran into
Website crashing, hard to connect with anime, and music APIs, timezone difference of team members.
Accomplishments that we're proud of
We are proud of learning new skills, host a website, that could give people a good time, by giving them tailored recommendations of anime, music, movies, etc based on their interests, hobbies, and genres they choose.
What we learned
We learnt a lot new Front end and Backend development tools. Learnt how to handle different crashing errors.
What's next for Happy Hour
We could make a cleaner appearance for our website,make it more user friendly, and add recommendations for books, and a lot other self care products.
Built With
api
bootstrap
css
django
html
python
Try it out
happy-hour.herokuapp.com | Happy Hour | Feeling sad? Frustrated? or Overwhelmed? Don't worry, we're here to help you...to give you your own happy hour! | ['Reshma Shaji'] | [] | ['api', 'bootstrap', 'css', 'django', 'html', 'python'] | 6 |
10,404 | https://devpost.com/software/the-next-door | We helped to make a system that would easily help potential donors give money to Next Door.
Due to members' emergencies, we only had time to figure out firebase's database system and do the UI for the landing page.
About The Next Door :The Next Door provides a continuum of evidence-based substance abuse and mental health services for women in an environment of faith and healing to restore hope and a lifetime of recovery. The Next Door began in 2004 with a small group of “wild praying women” from First Baptist Church Nashville who saw a need for a downtown ministry for women. Today – 16 years later - in its new, state-of-the-art facility off of Charlotte and 22nd Avenue, The Next Door provides services to women age 18 and over who are impacted by substance addiction, regardless of their ability to pay. The agency provides an integrated model to address co-occurring disorders, provides an affordable housing option, and is the only center in the region which provides a full continuum of services, for women only, with Christ-centered care.
We attached a google doc of our planning to this devpost. See below
Try it out
docs.google.com | The Next Door | Help women who are dealing substance addiction | [] | [] | [] | 7 |
10,404 | https://devpost.com/software/sacenter-appointments-paperwork | Inspiration
In human history, and sadly until now, we have witnessed all kinds of violence. However, there is one type that didn't gain good support since it is a taboo subject. It is sexual violence. So, we'd love to aid the affected ones on the occasion of this event.
What it does
A mobile app that provides a check-in and appointment system. Besides, the user can prepare his papers (for therapy as such) with one click.
(This is not totally implemented in the app due to the short time period of the event)
How we built it
Did an authentication system with Firebase. When the user logs in, he can see his info and if he has an appointment.
Made an appointment system in the Calendar section where users could choose an available date.
In the paperwork section, the user can click in one of the available papers and it will get automatically filled.
Challenges we ran into
It was the first time to use Firebase in Android. So, we faced some difficulties there. Also, the implementation of the calendar was challenging.
Accomplishments that we're proud of
Applied our computer science skills to help vulnerable people to have a better life.
We finished the appointment check-ins and paperwork system within 48 hours that meet the main requirement of the event and Sexual Assault Center.
What we learned
Implement an authentication system.
How to manage time properly: At first, you need to accomplish the bare minimum of the app, and just after, you can do the UI and handle all use cases.
What's next for SACenter: Appointments & Paperwork
Complete the check-in system.
Make the UI better.
Built With
android
android-studio
firebase
google-cloud
kotlin
Try it out
github.com | SACenter: Appointments & Paperwork | Since we can't stop violence forever, we will help the affected ones. | ['Ahmed Sellami', 'Hui Gong'] | [] | ['android', 'android-studio', 'firebase', 'google-cloud', 'kotlin'] | 8 |
10,404 | https://devpost.com/software/sac-mobile-app | This project was done for an externship and was requested by the Sexual Assault Center.
Video link here:
https://drive.google.com/file/d/1PcCFG2BKQpdrynFoqnPxvnJHzGS3qisg/view?usp=sharing
Not sure if it will be finished uploading to youtube, so wanted it to be accessible via google drive as well.
Safe Clinic Patient Sign In is an app designed for the Nashville Sexual Assault Center that helps with patient intake. The app is designed to collect basic demographic information from incoming patients, including their signatures which are placed on the documents by writing with a finger, and have that information easily stored on a secure Google Firebase database for SAC staff to filter.
In order to run the app, download the entire file from github, and open the .xcworkspaces file found in the main folder to have access to the Firebase functionalities.
This app was built to run on Swift 5 and IOS 13, but it is compatible with earlier versions of IOS and easily converted to earlier or later versions of Swift.
Built With
swift
Try it out
github.com | SAC Mobile App | A mobile app to streamline patient intake at Nashville's sexual assault center. | ['Samuel Sliman'] | [] | ['swift'] | 9 |
10,404 | https://devpost.com/software/covid19-hospital-bed-availability | Hospital Bed Availability During COVID-19
Hackers
Sidney Knowles (Davidson '23)
Lauren Wong (Vanderbilt '22)
Chanha Kim (Pomona '22)
Description
For our hackathon project, we decided to create user-friendly visualizations for COVID-19-related hospital bed availability data. We collected data using the COVID Act Now API and created visualizations using Microsoft's Power BI platform. Furthermore, we sketched out a skeleton website for what a bare-bones data presentation static HTML page might look like. Our end-products are the Power BI visualizations we created. While we don't have a finished product, we each worked on individual components and learned a lot about the respective technologies we used.
Data Sources
COVID Act Now
National, state, and county level data analysis
Free API
Public Tableau: COVID-19
Microsoft Power BI Visualizations
PowerBI is a business intelligence program.
It’s main purpose is to create interactive visualizations of data.
We specifically chose this program as our user interface because it provides a simple and easy-to-use/understand design.
Hosting Static HTML Pages on GitHub Pages
Our goal in creating a website was to design a user-friendly, human-readable site. To do this, we decided to go with a static site with minimal design. The example in this website is a very simple HTML page with textual headers and footers and a content space for the Power BI visualization. The white-space is there to help the user focus on the visualization. While we don't have a live demo of a static webpage, creating one is simple. All we have to do is create a new 'gh-pages' branch in our host repository and add the HTML/CSS/JS files to that branch. Once we do that, GitHub automatically recognizes the branch and hosts the static webpage for free.
Contributions
Sidney: Data Source Extraction
Lauren: Power BI Visualizations
Chanha: Static HTML Example
SUBMISSION VIDEO
can be found in the repository as "submission_video.mp4"
Built With
css
html
python
Try it out
github.com | COVID19 Hospital Bed Availability | Generate user-friendly visualizations and present them on a simple website | ['Sidney Knowles', 'Chanha Kim', 'Lauren Wong'] | [] | ['css', 'html', 'python'] | 10 |
10,404 | https://devpost.com/software/oozing-mandelbrot | Inspiration
I was always fascinated by different mandala arts. They basically just start out with squares or circles. That looked like maths to me. After researching for a while, I found this Mandelbrot through a college class and always wanted to implement it. Here's my try to learn the magic of numbers.
What it does
Images of the Mandelbrot set exhibit an elaborate and infinitely complicated boundary that reveals progressively ever-finer recursive detail at increasing magnifications.
How we built it
This project was built using Vanilla Java through a series of mathematical equations. It is formed by converting the coordinates of each pixel into a complex number and then iterating it with a simple equation.
Accomplishments that we're proud of
Allowing the user to witness mathematics in a space like never before.
What we learned
Color mapping, implementation of complex numbers, RGB color scheme are few of the things that we learned.
What's next for Oozing Mandelbrot
Reducing latency and as well as improving compilation times. Hosting and sharing the magic of numbers with the world.
Built With
java
Try it out
github.com | Oozing Mandelbrot | Creating amazing images and artwork, all through the power of mathematics! | ['Lepakshi Agarwal', 'Sohil Jain'] | [] | ['java'] | 11 |
10,404 | https://devpost.com/software/physio-assist-xfbq6n | Inspiration
Siri is the best assistant
What it does
Gives you tips for physical exercises
How I built it
Siri SDK
Challenges I ran into
None
Accomplishments that I'm proud of
Built it completely
What I learned
Siri Development
What's next for it
Alexa and Google Assistant
Built With
ios
siri | Amazing Assistant | Assistant that can turn your life : by being a nice physio | ['Shivay Lamba'] | [] | ['ios', 'siri'] | 12 |
10,404 | https://devpost.com/software/doc-buddies | DocBuddies
Inspiration
The COVID-19 phase made the society realize the real importance that the doctors carry and it became our responsibility to provide them facilities that can help them. So we came up with this idea of connecting doctors with our fellow doctors for public welfare and make the world a healthier place to live in.
What It Does
It connects doctors around the world and enables them to share information and collaborate. They can share information related to potential pandemics which they cannot speak about publicly due to the laws of censorship. For example, a lot of doctors in China warned of a potential pandemic but their warnings were ignored due to political reasons. Also, doctors can collaborate by taking medical advice from doctors outside their hospitals regarding certain patients.
The Features:
Map to search providers
Chat
Emergency call for help button for the doctors
Log of medicines, favorite doctors, vaccines, coronavirus related research & tests etc | Doc Buddies | Connecting doctors around the globe | ['Deanna Castano', 'ujjwaljainnn Jain', 'Shivam Singhal'] | [] | [] | 13 |
10,404 | https://devpost.com/software/corvid-ion-windows-10-iqp7yd | Inspiration
What it does;digtized coding
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for corvid ion windows 10
Built With
powershell
Try it out
jima2617.wixsite.com | corvid ion windows 10 | default tool on element using html | ['joram owuor'] | [] | ['powershell'] | 14 |
10,404 | https://devpost.com/software/connect_4_cause | Home Page
Registration
Search
Inspiration
We have realized through the years that there is a gap in the volunteering space. NGOs are constantly hunting for volunteers, and volunteers are constantly hunting for organizations to help out. So, we decided to build a web app that connects the two!
What it does
is a web app that connects NGOs and volunteers. It allows for registration of both the types of accounts and asks for some basic info such as the time commitment, work interests, and location. On the main search page, it provides 3 options to search: by location, interests, and time commitment.
How we built it
We built the web app on the Google Firebase platform. It uses the Cloud Firestore as the back-end database and Firebase hosting to host the site on the internet. On the front-end, we used the standard HTML, CSS, JavaScript framework. The search-by-location uses a combination of the Google Maps API and Radar.io to convert US zip codes to LatLng values, and subsequently sort entries by how far they are from the user using the Radar.getDistance() function.
Challenges we ran into
The biggest challenge we ran into at the very end (that we weren't able to fix) was a tiny bug with variable scope in the Radar.getDistance() function. After our Google Maps API worked correctly, and the Radar.io API also gave correct responses to test values, we faced trouble with the scope of a few LatLng variables. Due to this bug, our location search didn't end up working.
Accomplishments that we're proud of
We are most proud of our Firebase and Google Cloud integration. It was a massive task in getting those to work with the front-end and writing the Firestore queries.
What we learned
We learned a lot through the process. We believe the Google Cloud integration was one key takeaway. API integration is a very important skill and we did that over and over again through the project.
What's next for
Now, the project needs a whole bunch of users! We are planning to promote the project starting in our own community and get people on the platform. We also have plans to scale it up with more features like in-depth searching and addition of more profile options.
Built With
css
firebase
google-maps
html
javascript
radar.io
Try it out
github.com
vandyhacks-283016.web.app | <Connect_4_Cause/> | Connecting a network of volunteers and NGOs for exciting opportunities | ['aanya2303 Khandelwal', 'Anuraag Agarwal'] | [] | ['css', 'firebase', 'google-maps', 'html', 'javascript', 'radar.io'] | 15 |
10,404 | https://devpost.com/software/quiz-w19dq8 | Inspiration
We love riddles and puzzles, especially at the rigorous level of the Impossible Quiz
What it does
It essentially runs through a few levels of mind-boggling questions.
How we built it
We coded it in java
Challenges we ran into
Accomplishments that we're proud of
We both only have a year of Java experience!
What we learned
Coding takes much determination and brain power! But it was an enlightening journey.
What's next for Quiz
Refining it! Making it more fun, allowing hints, and adding more levels.
Built With
java
Try it out
github.com | Hack-a-Brain | Want more of the Impossible Quiz? Here's the Java version! | ['Katherine Xie', 'Rachel Lee'] | [] | ['java'] | 16 |
10,404 | https://devpost.com/software/prevent-corona | Inspiration
As we all know the cases of coronavirus are soaring even though measures are kept in place. A person with coronavirus symptoms can transmit the virus to others while waiting to be tested for the virus. During this time when a person is symptomatic but hasn't been tested, many others can be infected. So, this application is an effort to aware people of the areas where there are people who are sick with coronavirus symptoms.
What it does
Prevent Corona is a web app that allows users with coronavirus symptoms to register their information and view the number of people with symptoms in their zip code. The web app has also a chatbot that answers the user's query about the virus.
How we built it
We used to react and bootstrap for the frontend and node.js and Mongo DB for the backend. We also used Dialogflow to create a chatbot.
Challenges we ran into
We had a hard time integrating chatbot with our application.
Accomplishments that we're proud of
Completed a fully functional web application within a short period of time.
What we learned
Learned to integrate several APIs for a single application.
What's next for Prevent Corona
Build this app for IOS and Android devices.
Built With
bootstrap
dialogflow
express.js
mongodb
node.js
react
Try it out
github.com | Prevent Corona | Be Aware, Be Safe. | ['Alien Gurung', 'Boluwarin Dairo'] | [] | ['bootstrap', 'dialogflow', 'express.js', 'mongodb', 'node.js', 'react'] | 17 |
10,404 | https://devpost.com/software/covid-stats-tracker | This is my first hackathon so I decided to keep things simple. I needed a project for my portfolio where I use a web API to get data before visualizing it. I figured I should stick with 2020's theme of Covid-19 and I created an application that visualizes COVID-19 statistical data. You can compare the confirmed, recovered, and killed stats of any country and you can see a timeline of cases from when cases first started appearing until today.
A demo of the app can be found here:
https://covid-data-visualizer.vercel.app/
Tech Stack
React
Next.js
ReCharts
Vercel
Corona Stats Web API (
https://about-corona.net/documentation
)
Built With
bootstrap
css
html
javascript
next.js
react
rechart
vercel
webapi
Try it out
covid-data-visualizer.vercel.app
github.com | Covid Statistics Comparison Tool | This is a responsive web application used to display covid-19 stats and to compare them by Country. It pulls from an API then formats the data to make it usable then visualized that data | ['Dilshan Karunanayaka'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'next.js', 'react', 'rechart', 'vercel', 'webapi'] | 18 |
10,404 | https://devpost.com/software/fast-aid | Inspiration
N/A
What it does
N/A
How we built it
N/A
Challenges we ran into
N/A
Accomplishments that we're proud of
N/A
What we learned
N/A
What's next for N/A
N/A | null | null | [] | [] | [] | 19 |
10,404 | https://devpost.com/software/end-hunger | Inspiration
Having witnessed drastic situations during floods and natural calamities, we have understood the importance of food and it's distribution during relief works. So we are trying to solve this problem by creating a platform for people in need.
What it does
Works as a bridge between donors and recipients with transparent operation and relying on income only for maintaining servers.
How I built it
It was a team effort with Keerthi Avittan Elamparithi, Swarna Valli Srinivasan and myself Jagadeesh Sudhakaraiah.
Challenges I ran into
Main challenge was to incorporate OpenStreetMaps in HTML with custom options which was completely new.
Accomplishments that I'm proud of
Succeeding in using Open API instead of proprietary API has made me confident to develop more open source projects in future.
What I learned
Working with a team and lots of Javascript.
What's next for End Hunger
Will add few functionalities and try to partner with some local business owners and improve our support.
Built With
flask
javascript
jquery
python
Try it out
github.com | End Hunger | Give what you can | ['Jagadeesh Sudhakaraiah', 'Keerthi Avittan', 'Swarnavalli Srinivasan'] | [] | ['flask', 'javascript', 'jquery', 'python'] | 20 |
10,404 | https://devpost.com/software/3d-watch | Inspiration
As tinkerers and hobbyists, we love 3D printing. However, 3D printing can be unreliable. If a print fails, the printer can waste filament and damage itself. In the past, hobbyists would check a print every 10 minutes, wasting time and creating unneeded stress. Even if a print was successful, the finished product may have one of about twenty types of surface defects.
Many students and professionals are involved in the 3D printing process outlined above. According to Ernst and Young, 3D printing is a $15.4 billion market with a forecasted annual growth rate of 24%. As engineers, we wanted to tackle this problem by automating the defect detection and troubleshooting process.
What it does
During the printing process, our machine learning algorithm will watch the print for any errors. If an error occurs, then the print is aborted. Even if a print is successful, our machine learning algorithm can identify any surface defects and suggest steps to fix the issue.
How we built it
We used a machine learning object detection system (YOLO v3) which was served up with Flask to upload and scan the image locally.
Challenges we ran into
Identifying defects mid-print and post-print cannot be done with traditional programming. Every defect is different, so we had to choose an approach that combines machine learning with computer vision. However, no dataset for 3D printing defects existed.
Accomplishments that we're proud of
We compiled a small dataset of 3D printing errors, which successfully trained the model to an F1 score of 0.92. At the same time, the algorithm has a low inference time of 6 ms on accelerated hardware and 3 seconds on unaccelerated hardware.
What we learned
We learned to compile, clean, and augment small datasets. We also successfully learned and implemented Flask with python to create the user interface of our app. Nobody on our team had experience with Flask or the Jinja2 templating engine previously.
What's next for 3D-Watch
Introducing webcam integration, scanning the object for surface defects with linking to troubleshooting solutions, remote notification of problems and aborting failed prints to save resources, and finally combining all of these features into an easy to use mobile app.
Built With
css
flask
html5
javascript
machine-learning
python
Try it out
github.com | 3D-Watch | An AI-based system to detect defects in 3D-printing mid-print and post-print. | ['Ethan Nguyen', 'Alice Byrnes', 'Shannon Vogel'] | [] | ['css', 'flask', 'html5', 'javascript', 'machine-learning', 'python'] | 21 |
10,404 | 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'] | 22 |
10,404 | https://devpost.com/software/dr-flamebuoyant | Slack Integration for Dr.FlameBuoyant
Website look
Inspiration
We wanted to make a chatbot that tells people which medicine to use for simple cold and diseases which dont require any urgent consdoctor.
What it does
It helps you with
How we built it
We built it using IBM watson and simple html,css for frontend.
First we need to train the model with different Intents and then let it recognise them currently. This takes a lot of samples and we are happy we gave large amount of them to make the bot accurate.
Challenges we ran into
We struggled with integrating the bot with frontend. Then we tried couple of ways and succeded.
Accomplishments that we're proud of
We are proud that Dr.FlameBuoyant gives accurate answers for questions posed to it.
What we learned
We learned about IBM Cloud and IBM Watson a lot.
What's next for Dr.FlameBuoyant
We would like to make this application more dynamic.
Built With
bluemix
html5
ibm
ibm-watson
Try it out
web-chat.global.assistant.watson.cloud.ibm.com | Dr.FlameBuoyant | Simple cahtbot for health related issues | ['Mohinish Teja', 'vibhav chirravuri', 'Abhijith Gunturu', 'pabba sumant'] | [] | ['bluemix', 'html5', 'ibm', 'ibm-watson'] | 23 |
10,404 | https://devpost.com/software/code-heist | This is the home page, where people can see the questions.
This is the splash screen
This is the login page, right now only sign in with google, facebook and github works.
This is the dashboard on home screen for better navigation through out the application.
This is how question looks once posted. white part is answers
This is the landing page
This is about us section
This is contact us section
This is the community section
Inspiration
There are so many social media platforms, so why not a good one for developers and coders, so that they can get good advice , experienced ones can share their experience and can boost coding community.
What it does
It is a coding community platform , which let people ask their issues and get answers by fellow community members.
How I built it
We had this idea so we started designing the UI/UX part, then we started working on its android application and web application simultaneously. We developed its android application using java and for web we used html, css, node.js and ejs engine. We used google Firebase for database and authentication.
Challenges I ran into
Developing an application which uses authentication has so many things to do. Making an editor for the question answer thing was so tricky, had so many edge cases and use of data structures.
Accomplishments that I'm proud of
We created the authentication part of app successfully.
We created the question/answer editor that was too tricky.
What I learned
Managing an android application that has so many activities and edge cases.
Benefits of making modules of codes.
Firebase Authentication.
Firebase Firestore.
Web Development.
What's next for Code Heist
We are looking forward to create its fully functional web platform and complete the functionalities that are left.
Built With
android-studio
css
ejs
firebase
glide
heroku
html
java
node.js
xml
Try it out
drive.google.com
polar-hamlet-62855.herokuapp.com | Code Heist | Code Heist is coding community for developers and programmers, where people can ask their problems related to their codes and get solutions by fellow community members. We tend to unite the coders. | ['pradyumn Upadhyay', 'Jagdish Parihar', 'Avinash Singh', 'Nischay Modi'] | [] | ['android-studio', 'css', 'ejs', 'firebase', 'glide', 'heroku', 'html', 'java', 'node.js', 'xml'] | 24 |
10,404 | https://devpost.com/software/covid-helper-gnkhab | 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
The massive spread of COVID 19 is due to a measure reason, 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 we can make everyone aware of these safety measures. So we have come up with a solution called COVID - HELPER 1st ever safety alert system to protect the user from catching the infection.
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 COVID - HELPER 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'. ii.) COVID cases count iii.) News feed regarding COVID updates. With all these features this app becomes an all-round COVID protection system that will take care of you and your loved ones.
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
We’re proud to have completed our project in the period of this Hackathon. Additionally, we’re proud of how we’ve dealt with time pressure and worked cohesively as a team to actualize our start-up goals, which we believe would have a genuinely positive impact on saving many lives once implemented properly.
What we learned
All team members of COVID - HELPER 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 COVID - HELPER
COVID cases are increasing every day, and chances are low that we can create a vaccine immediately, apps like COVID - HELPER will play a crucial role in lower the spread of infection till a proper vaccine is made. Our app can also be used for future pandemic or seasonal diseases such as swine flu or bird flu.will play a crucial role in lower the spread of infection until a proper vaccine is made. Our app can also be used for a future pandemic or seasonal diseases such as swine flu or bird flu.
Built With
android-studio
geofencing
google-maps
java
sql
Try it out
drive.google.com | COVID - HELPER | COVID - HELPER, 1st ever COVID safety alert system | ['Anup Paikaray', 'Arnab Paikaray'] | [] | ['android-studio', 'geofencing', 'google-maps', 'java', 'sql'] | 25 |
10,404 | https://devpost.com/software/spotivibes | Inspiration
Music listeners have a lot of playlists and often we might forget about songs which are at the bottom of them if we never make it through the full playlists or simply lose interest after time. But there is always satisfaction in rediscovering old songs which are in our playlists, especially when they fit our mood.
What it does
Spotivibes updates your Spotify queue using whatever emotion you input into it. The song it picks will match your mood but is also queried from your playlists so it is a song which will be familiar to you as opposed to a song recommended by the spotify service which you may never have heard before.
How I built it
We used HTML, Node.JS to set up the front end. In the backend we used python (flask) to write the script which will update the queue. To analyze the sentiment we used Google Cloud's Natural Language API
Challenges I ran into
Connecting the front-end with the backend. We were trying to host both the Python flask script and the Node elements in the same local host. We didn't realize that they need to be on two different servers and that these two servers could not have the same spotify API key until we ran out of time.
Accomplishments that I'm proud of
We originally were going to just hardcode in what the user could input in terms of their emotion to either be "happy" or "sad". But we managed to get the Google Cloud Natural Language API up and running. This is especially important for us all because it was our first time using GCP
What I learned
The distinctions between how Python Flask generates servers and how that interacts with Node.JS
What's next for Spotivibes
Likely need to start using a microservices architecture, one microservice for Node.JS and the other for the Python elements. This would allow us to make the two talk to each other. The spotify app also needs to currently be playing a song in order for the queue to update. Ideally the Spotify app shouldn't need to be open in order for Spotivibes to work.
Built With
google-cloud-natural-language-api
html
node.js
python
spotify
Try it out
github.com | Spotivibes | Updates your Spotify queue using whatever emotion you input to the app | ['Alex Fan', 'williampark1216 Park', 'Anthony Wong'] | [] | ['google-cloud-natural-language-api', 'html', 'node.js', 'python', 'spotify'] | 26 |
10,404 | https://devpost.com/software/covid-19-twitter-data-sorting | A mini infographic!
Inspiration
As a frequent Twitter user, I always see trending tags on the sidebar of my Twitter dashboard. Yet, however much these words and phrases pique my interest (#_
isoverparty tags, where you at?), it is hard to tell sometimes _what
exactly these tags are about. Are they cheerful and optimistic? Or leaning more to the negative side? Are they by a reputable news source? Or by a heavily-opinionated Twitter-blaster? Especially given today's circumstances brought by the COVID-19 pandemic, I wanted to make a Python-based project that tackles the contents of a Tweet, displaying recent posts that also tags a positivity and objectivity rating on them.
What it does
This program takes COVID-19 related keywords (hashtags and search terms) and displays the search results based on the amount of tweets the user wants displayed, as well as a date limit (how far back the tweets go). In addition, the user can filter this data based on the contents of the tweet, generalizing it to 2 categories: giving it a subjectivity rating (i.e., how biased/opinionated are the words and phrases in the tweet) and a polarity rating (i.e., how positive the tweets tend to be based on key words). All this data is displayed back to the user in a table, using the parameters set by them at the beginning.
How I built it
I built it using Python, installing 6 different packages: Anaconda for storing and getting my keys from the environment, Tweepy for Twitter API access and search data, Tkinter for building the GUI and the user search fields, Re to clean up the tweets for display, TextBlob to process the text using natural language processing and sentiment analysis, and pandas to build the graph. In planning it out, I had to first tackle how I am going to use the search query to pull up and display tweets. I realized I needed a date, and a maximum number of tweets to be displayed; further, rather than hard-coding it, I can have the user determine those values instead. From there, I broke it down into steps: using the Twitter API, building the GUI, obtaining the the user input, and finally, how to figure out the sentiment from the tweet. From there, it was easy to figure out what packages I had to install.
Challenges I ran into
I have only been studying programming for half a year, and never really built a project using APIs and extensively building off of Python libraries. Thus, I had to look up a lot of documentation on using the Tk interface, as well as programs that can use Twitter data and build the program I wanted. A particular challenge I faced took half a day - I wasn't sure how to hide my Twitter API keys in my codebase! In order to tackle this, I had to look into ways to store the keys elsewhere while also being able to use them, and I stumbled upon an article that talked about using an Anaconda environment to store the keys in a file.
Accomplishments that I'm proud of
I'm proud of learning how to build a GUI and successfully linking it to the program so that the app is interactive and responsive to the user. In projects that I worked on for school, we were always provided with a GUI interface, so learning how to actually build them allowed me to develop a greater appreciation for the tools my class provided me with to better learn how to program. Building a project is no walk in the park! I think my proudest moment was learning how to "get" the data that the user entered and finding ways to incorporate it into my own code by using that input as a key. I built the Entry widgets first, and used that knowledge to tackle the Listbox for the selection display.
What I learned
I learned that it wasn't easy building a program from scratch. You need to brainstorm, then consider elements such as design - how you're going to build your program from the ground up. However, I had a lot of fun doing it and learning more about Python along the way! In addition, I learned a lot about libraries and the use of APIs.
What's next for COVID-19 Twitter Data Sorting
I want to build off this project with more data to sort through, possibly with search results related to masks, quarantine, vaccines, etc. Maybe I can look into different types of content analysis, such as graphing sentiment based on location, or objectivity based on source (whether it be a government official, a celebrity, news website, researcher). The possibilities are endleess!
Built With
pandas
python
python-package-index
re
textblob
tk
tkinter
tweepy
twitter
Try it out
github.com | COVID-19 Twitter Data Sorting | A basic, user-friendly Twitter app to retrieve and sort Tweets about COVID-19 based on user input. | ['doud21 Dou'] | [] | ['pandas', 'python', 'python-package-index', 're', 'textblob', 'tk', 'tkinter', 'tweepy', 'twitter'] | 27 |
10,404 | https://devpost.com/software/luck-survival | Start Screen!
How To Menu!
Chest Selection!
Fighting Begins!
Fighting...
Fighting...
Round Finished!
New Weapon!
Oops! I died!
Inspiration
We wanted to build a fun, quick, easy to play arcade game. We thought it would be fun to let luck take the wheel.
What it does
You land in a beautiful environment and are forced to choose a chest. The chest spawns a random weapon for you, which you must use to survive for a round. After a round, you can test your luck again by picking a different chest.
How we built it
We used the Unity game engine and Blender to build this game.
Challenges we ran into
Our biggest challenge was fitting a large environment onto a mobile phone without lag.
Accomplishments that we're proud of
We built a feature-complete game within 48 hours!
What we learned
Sometimes, the simplest solution is the best solution...!
What's next for Luck - Survival
Polish it and release it on a mobile market place.
Built With
c#
unity | Luck - Survival | An arcade game where your survival is 99% luck and 1% skill | ['Jaewook Lee', 'Raahul Natarrajan'] | [] | ['c#', 'unity'] | 28 |
10,404 | https://devpost.com/software/sharebear | ShareBear
Civic engagement
Advice, COVID19 updates, Weather
Inspiration
The primary inspiration for this bot is acknowledging that in these recent months, support for Black Lives Matter (BLM) has increased greatly while people around the world have taken time to protest against injustices. Diving into social issues and trying to understand all the political jargon, the political processes, and waiting for all the bureaucracy at work is no easy task at all. And so, we wanted to make it easier for people to be civically engaged in America.
What it does
Sharebear can tell you what bills and resolutions you should know about that are going through Congress. It saves you both the time and headache from looking through the 13,778 bills and resolutions currently before Congress. You can ask for the different topics and learn about a bill from a topic you’re passionate about. Additionally, you can also find out the weather forecast in any city, get a piece of advice, and what the most recent corona virus statistics are for any location.
How we built it
To determine conversation flow, we utilized Google Cloud’s DialogFlow and designed a conversation flow, creating custom intents and entities. With each user input, the app pings the DialogFlow API to get the correct response.
DialogFlow
React Native
Google Cloud
Adobe Illustrator
Web scrapers
Challenges we ran into
On the planning side, understanding the political jargon and reading up on how the US government is structured. There were lots of ideas on how we could carry out civic engagement, but parsing government websites can especially be a challenge.
On the technical side, we created the Alexa skill and saw that Google offered an easy import tool which sounds too good to be true, and it was - that tool no longer works. So, we spent a lot of time reading and understanding many of the Google Cloud Products in order to successfully manually transfer the dialog model. Interestingly enough, you can code in python for AWS Lambda but not for Google’s Cloud Functions, so we needed to find a workaround for the lack of Python compatibility of Google Cloud Functions.
Accomplishments that we're proud of
Tech for social good!
What we learned
Aside from all the different APIs, choosing and understanding which platforms or services to use to implement your program is also paramount. Found some great civic APIs. Learned a lot about US government structure and the federal government vs the state legislature and their differences. Most government websites still really suck though.
What's next for ShareBear
Next, it’d be cool to get a person’s state and federal representatives based off of their location. That way, they would know who to contact to share their views.
Built With
dialogflow
google-cloud
python
react-native
Try it out
github.com | ShareBear | A bear that helps you be an informed and politically active citizen. | ['Muntaser Syed', 'Ebtesam Haque', 'Sarah Zhou'] | [] | ['dialogflow', 'google-cloud', 'python', 'react-native'] | 29 |
10,404 | https://devpost.com/software/genetic-algorithms | Screenshot of multiple agents in a genetic algorithm generation avoiding moving coronaviruses observed via radar
Inspiration
Our project went through a series of iterations, beginning with a focus on infected “hive mind” populations controlled by a single genetic algorithm (GA) and continuing on to include GAs controlling a variety of agent types in different scenarios, usually COVID-related. Initially, we were motivated by a common interest in (Pythonic) machine learning methodologies and simple, stripped-down susceptible-infected-recovered (SIR) animations, such as those which appear in the
Washington Post
and the
videos
of popular mathematics YouTuber 3Blue1Brown. We eventually generalized this latter inspiration and considered a larger class of COVID simulation projects.
What it does
In its final iteration, our project simulates an individual trying to survive in an environment that contains infected beings. The goal is to avoid coming into contact with the infected objects, and we try to accomplish this goal by training a neural network through NeuroEvolution of Augmenting Topologies (NEAT). In each generation of training, the best individuals are chosen and are used to generate offspring to population the next generation. The idea is that over-time the population increases in fitness by doing a better job of avoiding getting infected and the best “genes” are conserved over time.
How I built it
We chose to do this project in Python because it was the language that we were most familiar with. To implement the neural networks and genetic algorithms, we used the
neat-python
library. For visualization, we used
pygame
and
matplotlib
. We liberally employed object-oriented methodologies and made significant use of version control through GitHub, facilitating a workflow wherein all three group members could actively and separately contribute.
Challenges I ran into
We struggled to find a problems which were simultaneously non-trivial—i.e., which actually motivated the use of an advanced problem-solving approach—and solvable that we could solve with our methodology of choice, the genetic algorithm. In particular, our project ideas either involved too much random variance or actors that could drastically influence their environment, both of which prevent models from learning general tactics. We also found the plethora of potential customizations/modification—such as fitness functions and disease transmission probability functions—and hyperparameters associated with our genetic algorithms to be difficult to optimize effectively and simultaneously for a given problem.
Accomplishments that I'm proud of
Our process featured a variety of successes, large and small. From the start, we were able to demonstrate to ourselves the potential of genetic algorithms, initially demonstrated through the effectiveness of a simple Processing script which exhibited a genetic algorithm swiftly learning how to traverse a room. We were able to maximize the utility of the poorly-documented
matplotlib.animation
library, producing visual simulations featuring moving agents with time-dependent colors. We also found success in hacking together a solution when we required the radars—essentially “eyes” allowing our agents to access distances to the nearest objects in various directions—to operate more robustly than in environments where it had previously been employed by other users. We also were able to maintain organization and cohesion at every stage of the project, remaining on the same page through Discord-facilitated communication—both through voice and text channels—and extensive pseudocode-based collaborative planning sessions, developing and managing multi-contributor workflows through GitHub, and consistently agreeing upon even workload distributions which allowed all members to remain engaged and productive.
What I learned
We each came into the project with different strengths and weaknesses. While some of us honed our skills in matplotlib and its esoteric animation capabilities, others got a chance to practice data manipulation with pythonic tools like list comprehension. As a group, this project allowed us to practice the utilization and implementation of Pythonic object-oriented design practices. We also developed varying degrees of familiarity with the PyGame library. Finally, genetic algorithms in general were pretty new to most of us, and the whole group learned about these methods, their applications, and how to implement them with libraries like
neat-python
.
What's next for Genetic Algorithms
Given more time, the next major step would be to get our evaders to actually learn to evade the virus objects. We were left with lots of unanswered questions about how the neat-framework works and how we could improve our use of the neat-python library.
This project is still unfinished, and maybe its results are unexplained. For example, even after generations of training, there are still large segments of the population which still exhibit behavior similar to how the population behaved in the first generation. These individuals randomly disperse and become infected very quickly.
Overall, the most room for improvement is in defining a better network structure and a better fitness reward system. We could fiddle with the neural network topology, adding hidden layers, or changing activation functions. In the future, we could also maybe look into other techniques such as Q learning.
Built With
matplotlib
pygame
python | Genetic Algorithms | The COVID-19 pandemic has forced us to relearn daily habits to protect our health. How does a genetic algorithm fare when needing to similarly learn to survive in a dynamic, virus-ridden environment? | ['Nilai Vemula', 'Elijah Sheridan', 'Jack Walton'] | [] | ['matplotlib', 'pygame', 'python'] | 30 |
10,404 | https://devpost.com/software/site-for-quarantine | Inspiration
I'm in the process of learning web development by myself, and I wanted to set aside time to build something with the little I've learned so far, because I believe actually doing a project with a new language helps with learning more than anything else.
What it does
Not much. Just gives options for how you feel due to quarantine, and offers basic solutions to these problems.
How I built it
With HTML, CSS, and a little JavaScript.
Challenges I ran into
Everything. It was my first time actually putting my learning into practice, so I got stuck a lot and had to look up almost everything. I tried for a long time to put little transitions after the user clicked an option but struggled with the interaction between CSS and JavaScript, so couldn't manage that.
Accomplishments that I'm proud of / What I learned
I feel like I learned a lot more working on this than I would have with simple tutorials. I learned and became more comfortable with using HTML and CSS, and though I struggled a lot more with JavaScript, I understood more of its concepts as well.
What's next for Site for Quarantine
Becoming more familiar with JavaScript! So I can build a better, more useful website in the future.
Built With
css
html
javascript
Try it out
github.com | Site for Quarantine | Just a site that offers solutions to small problems faced during quarantine. | ['erin403 Cho'] | [] | ['css', 'html', 'javascript'] | 31 |
10,404 | https://devpost.com/software/alive-hospice-mobile-application | Home
Consent Form
Story Prompts
Share
Choosing a non-profit to work with
We chose Alive Hospice as the non-profit organization to work with because we wanted to help making a mobile application that would assist the organization that provides personal cares for the people with life-threatening illnesses. We are grateful that we are able to use our coding skills to practically help a community-supporting-organization
What it does
Our project is a mobile application in which users can share their personal life stories with Alive Hospice by answering interview questions provided by Alive Hospice. The app includes an easy way to upload video, audio, and photos as answers to prompted questions. In addition, it asks the user to accept/decline a legal release to use materials publicly.
How we built it
First, we designed an UI mockup for the app using Figma. Once we had a basic implementation of the UI, we then moved on to using Unity for frontend development and C# for backend development.
Then, we created all the layout and transitions among pages using the Unity.
We moved onto accessing the camera/microphone from the phone and downloading the files (video or voice recording) to the device so that we could send those files through email to the Alive Hospice.
Finally, we worked on calling the files stored in the device to attach to the email and send the email.
Challenges we ran into
One of the challenges we ran into was understanding what the client wanted. We were not sure if they wanted a platform to build communities among patients who were fighting against illnesses or just a platform for users to share their stories with Alive Hospice directly. Because the project idea was in its early stages, we wanted to make sure that our application would provide our client with a platform that best fit their needs.
Another big challenge that we ran into was when sending the videos/audios taken by the user to the Alive Hospice center via email. We were not sure if we were to use a Cloud-base upload or the device-download to send the files via email. After hours of research and troubleshooting, we were able to realize that device-download method is a little more faster and easier to handle with a given time-constraint of the competition.
Accomplishments that we're proud of
Although we all met each other the first time, it was surprising to see ourselves communicating with each other efficiently, respecting each other's opinions and ideas, and working hard as a team with divided works. We all learned from each other and put our ideas together for a great cause. This hackathon was also a first for some of our team members, which provided a lot of experience to them. In addition, we are very proud of ourselves to create a simple yet elegant design for our app. Lastly, we are proud that we were able to create everything that the client required us to have in our app before the deadline.
What we learned
For three out of four members of our team, it was their first time creating a mobile app. This was a great experience to be able to try something new. We also learned the basics of Unity for mobile app development and Figma for UI prototyping.
Everyone from our team got to learn about Alive Hospice and the support it gives to people with life-threatening illnesses, further motivating us to utilize our problem-solving and programming skills to support the community and the organizations that build up the community
What's next for Alive Hospice Mobile Application
We hope to continue working on the app through the summer so that we would be able to provide an efficient and easy-to-use app for users to share their stories. With more time given, here are further specific plans for the summer: 1) We plan on utilizing cloud storage and increasing functionality, including file history and isolated file sharing. 2) We plan on making a "log-in" page for the user to log-in to their emails. 3) We plan on making the app capable of sending bigger files via email or other platforms (more than 50 MB), and 4) We plan on making sure that the app is maintainable through more documentations.
Built With
c#
objective-c
unity
Try it out
github.com | Alive Hospice Mobile Application | An app for the Alive Hospice non-profit organization that provides a platform for people to share their personal stories for deeper relationships and better care. | ['David Seo', 'Beverly Raudry', 'Paul Ullman', 'Carleen Li'] | [] | ['c#', 'objective-c', 'unity'] | 32 |
10,404 | https://devpost.com/software/nplf-dashboard | Our summary graph, which displays sample data of the number of visitors to NPLF's various online platforms.
For our project at VandyHacks 2020 - Summer Edition, our team was matched with the Nashville Public Library Foundation (NPLF), a non-profit which aims to advance the impact of Nashville Public Library programs and initiatives. Our task was to create a user-friendly dashboard for NPLF marketing and communications staff in order to organize and analyze key marketing metrics related to the Foundation's online presence. This includes Google searches, visits to their website, and activity on their social media platforms.
To accomplish this task, our team created a Flask web application that displayed data visualizations using the Plotly Python library. We imported hard-coded data from Microsoft Excel spreadsheets into our Python application and used this data to create our visualizations. Our submission to VandyHacks includes six graphs using individual data from various online platforms (activity from Google, Facebook, Emails, etc) as well as a graph summarizing all of these finding in one central display.
As a team, we had a great experience at VandyHacks and learned a lot from our project. We learned a lot about data visualization, creating web apps, using multiple programming languages, finding APIs and frameworks, and learning Git. We were able to overcome the challenges we faced by getting help from out teammates, VandyHacks mentors, and researching for solutions online. Because of this experience, we feel more confident in collaborating with others on a cohesive project and using technologies we hadn't had much experience with before.
Built With
css
excel
flask
plotly
python
webapp
Try it out
github.com | NPLF Dashboard | A user-friendly dashboard for NPLF marketing and communications staff in order to organize and analyze key marketing metrics related to the Foundation's online presence. | ['Sarah Avila', 'Sukriti Bhardwaj', 'Xin Yi Li', 'Sophie Chhour Kaplan'] | [] | ['css', 'excel', 'flask', 'plotly', 'python', 'webapp'] | 33 |
10,404 | https://devpost.com/software/scheduler-8zy7jt | We leanrned a lot about different python libraries and packages including thread, pyautogui, and tkinter. This project was inspired by the desktop duck
Built With
python | Scheduler | A quirky way to not procrastinate | ['Steven Zhang', 'Anna Li'] | [] | ['python'] | 34 |
10,404 | https://devpost.com/software/livelineplus | Health Code demo
Symptom Check
Database1
Database2
Inspiration
The fast-spreading coronavirus has been our inspiration for designing this web app to help contact tracing and prevent the spread.
What it does
The users need to complete a symptom check and answer a few questions about their where they have been to, if they are exposed to the virus or in close contact with confirmed patients. And we have data in our database that can help us determine which county is high rush area. All those users responses and their locations will allow our app to evaluate their chance of being exposed to the virus. People with low risk will be given a green QR code and people with intermediate-risk will have a yellow code and people with high risk(exposed to the virus)will have red-code. We believe this mechanism will help curb the spread of the virus. The government could tell everyone to register for our web app and the code will be used to determine if they should be allowed to enter some public spaces
How we built it
We used HTML, PHP, SQL in our project.
Challenges we ran into
The communication between the database and SQL Server is not successful, and the demo of Radar API is not working.
50%of our group members are the first-time hackathon hacker.
What's next for LiveLinePlus
Add more functions that related to the Radar API.
Built With
database
html
php
radar
radar.io
sql
Try it out
github.com | LiveLinePlus | A web app that helps people chasing, self-checking and reporting COVID-19 cases | ['XiLei Zhu', 'Qianyi Sun', 'Leonardo Lou', 'Ha David'] | [] | ['database', 'html', 'php', 'radar', 'radar.io', 'sql'] | 35 |
10,404 | https://devpost.com/software/clos-it | Home Screen: Allows users to manually add clothes to their "MyCloset" from their Image Gallery
Donate Screen: Allows users to choose clothes from their "MyCloset" and search for areas in the surrounding neighborhood for Clothings Drops
Statistics Screen: Allows users to check their statistics on how often they use certain clothes from their "MyCloset"
Customize Screen: Allows users to manually select their clothes from their "MyCloset" and choose outfits accordingly
Inspiration
When brainstorming our project we discussed a multitude of ideas—ranging from streaming service add-ons to fun games to community-oriented tasks. Through doing this we realized that we wanted to work on something that would be fun, something we could personally use on a day-to-day basis, and something that could benefit the community in some way. While we initially proposed Clos.it as a joke as we discussed it we realized that it would address everything we wanted to accomplish during this hackathon while also being time feasible. With Clos.it we envision users’ morning routine becoming more efficient and less time-consuming. Clos.it will enable users to choose outfits from the comfort of their bed without having to spend time and effort switching out clothes trying to find the perfect combination for the day ahead of them. Thanks to the practicality of the app and the easy integration of it into a daily routine, Clos.it became a project we became passionate about because we couldn’t wait to be able to use it ourselves. To allow Clos.it to positively affect the community we added a donation feature where users will be able to designate clothes they don’t frequently wear as ones they’d like to donate. In incorporating this feature, we hope to encourage users to give back to the community and also be mindful of the impact of fast fashion onto the environment.
What it does
Currently, our app has the frameworks for full-on function with matching outfits, a statistics page showing you what you wear most and what you don't as well as a recommended donation list for clothes that you wear the least. However, we could not work out the image upload function in time for the app to be fully functioning as we had to learn how to use Firebase and integrating it with flutter.
How I built it
We used Flutter, an open-source UI software development kit created by Google. It is used to develop applications for Android, iOS, Linux, Mac, Windows, Google Fuchsia, and the web from a single codebase. We also used Firebase, a trusted backend also by Google which gives you functionality like analytics, databases, messaging and crash reporting so you can move quickly and focus on your users, for the backend of our project.
Challenges I ran into
As stated before, we weren't able to put in the image upload functionality into the app. However, we did as much as we can to work around this setback and created an app with its basic skeletal functionalities. Furthermore, another major Challenge the team ran into was implementing the donation feature. Our initial plan for the donation feature was to find the nearest clothing charities via Google maps. However, due to financial constraints, we were unable to use the Google Maps API. To work around this issue, the donation feature was converted into a list of apparel waiting to be donated.
Accomplishments that I'm proud of
Our team consisted of mainly beginners who were completely new to app development so we are very proud that we were able to learn and build most of the frameworks for our app.
What we learned
We gained more experience about how to use Flutter to create apps.
What's next for clos.it
We hope to fix the issue with the image upload and adding clothing in order to make it a fully functioning app
Built With
dart
firebase
flutter
Try it out
github.com | clos.it | A virtual closet for all your clothes! Style different outfits from your closet, get statistics based on how often you wear your clothes, and even learn ways on how to donate them to your community! | ['Kai Ko', 'Sonny Nguyen', 'Alexander Jiang', 'Laura Torre'] | [] | ['dart', 'firebase', 'flutter'] | 36 |
10,404 | https://devpost.com/software/mentee-e58lnv | Inspiration
A lot of people are on LinkedIn with no intention of genuinely growing their network or helping someone else out. By taking 5 minutes out of your day to give back, you could change the trajectory of where someone is heading; nevertheless, thousands of people ignore messages every day from ambitious individuals that are trying to improve themselves.
What it does
The concept of this app is that it helps mentees find mentors for any subject that they are interested in improving in. Whether it be learning how to program or learning how to land an internship at a FAANG company, this app bridges the gap by pairing services to the individual. The mentor may offer services for free in which their profile will be tagged with "philanthropy" or they can charge their own rate (and can allow the mentee to negotiate a fair price that they can afford)
How I built it
Adobe XD
Challenges I ran into
Being able to include all the features I wanted to incorporate without making the app seem overwhelming to the user
Accomplishments that I'm proud of
Being able to have a simple interface that anyone seeing the app for the first time can understand
What I learned
User-Centered Design
What's next for Mentee
Software Development Life Cycle (SDLC)
Stage 4: Developing the Product
Stage 5: Testing the Product
Stage 6: Deployment in the Market and Maintenance
As well as getting more feedback on the UI of the app to make it more user friendly and incorporating more features (creating group mentors, having some sort of achievement tracker to hold the user accountable, etc.)
Built With
adobe-xd
uikit | Mentee | Your Network Is Your Net Worth: Connecting Mentees to Mentors | ['Pratik Patel'] | [] | ['adobe-xd', 'uikit'] | 37 |
10,404 | https://devpost.com/software/water-walkers | Events page
Dashboard
Basic Profile
Log In
Calendar view
Inspiration
Online planners like google calendar.
What it does
Allows users to build accounts, create events, view events in calendar format, and sign up for events.
How I built it
Flask with a SQLite database to store user data.
Challenges I ran into
Version control problems with GitHub, SQL issues.
Accomplishments that I'm proud of
Building a working web app after almost 30 straight hours of coding!
What I learned
Working with a team makes things so much faster.
What's next for Water Walkers
Optimization, deployment to Heroku, and more functionality!
Built With
css3
flask
html5
jinja
python
sqlite
Try it out
github.com | Water Walkers | Partnered with Water Walkers for VandyHacks 2020, we designed a web application for easy, quick check-in for attendance tracking. It allows for students to sign up, sign in, and register for events. | ['Nicholas Patilsen', 'Pratik Karki', 'Annie Zhou', 'Ayushi Sharma'] | [] | ['css3', 'flask', 'html5', 'jinja', 'python', 'sqlite'] | 38 |
10,404 | https://devpost.com/software/zombie-apocalypse-at-vanderbelt-university | the beginning
Inspirations
Inspired by the mobile game A Dark Room. This idea is inspired by reality with some satirical humor embedded. It is a more story based game.
Challenges
This was an extreme time crunch and we faced a lot of challenges using GitHub as none of us had ever used it before
Accomplishments that I'm proud of
the fact that me and my teammates were able to pull through and finish building a whole computer game in the time frame we were given. We were able to code so much and also learn so much about coding during this time
What I learned
I learned a lot of the process and time and thinking that goes behind making a game. I never imagined so much work!
What's next for Zombie Apocalypse at Vanderbelt University
Hopefully we'll be able to debug any issues that may occur with the game and also hoping to expand the functions of the game to be more complicated and detailed. Also we hope to add visuals to the game.
Built With
java
Try it out
github.com | Zombie Apocalypse at Vanderbelt University | The player must navigate college life during a zombie apocalypse | ['Sianna Xu', 'Vishal', 'Callahan-Henry', 'sydneymj'] | [] | ['java'] | 39 |
10,404 | https://devpost.com/software/formulacademy | Homepage
The entire website has a continuous color gradient animation.
Calculators page
Calculators
Example of a calculator
About page
Inspiration
As college students, we found that performing certain calculations on everyday calculators can be very tedious, especially when using complex formulas.
What it does
Our website contains a library of formula calculators from four different subject areas: mathematics, physics, chemistry, and economics. Each calculator displays a brief explanation of the formula and allows users to simply input values for each variable to receive the answer in a single click. This saves time by eliminating the need for repetitive typing into a hand-held calculator, and provides a centralized location to find many formulas in one convenient website.
How we built it
We utilized JavaScript, HTML, CSS, and Bootstrap to design our website.
Challenges we ran into
We were unfamiliar with JavaScript and Bootstrap upon entering the hackathon (we're all near beginner-level). However, we took advantage of online resources to learn more about these tools.
Accomplishments that we're proud of
We were able to create a colorful, animated background for our website, which enhances the visual experience, and are very proud of our overall UI. We also learned JavaScript and Bootstrap completely from scratch, and are glad we were able to develop our programming skills.
What we learned
We increased our JavaScript and Bootstrap knowledge, as well as mastering use of Git version control. We also improved our teamwork and communication skills by collaborating on this project.
What's next for Formulacademy
We plan to add more formulas to our library, and continually update our website as we come across tedious formulas throughout college. We also hope to spread the word about this resource to other students!
Built With
bootstrap
css
html
javascript
Try it out
github.com
alansun25.github.io | Formulacademy | A free library of formulas and online calculators that saves you time. | ['mara-rao Rao', 'Alan Sun'] | [] | ['bootstrap', 'css', 'html', 'javascript'] | 40 |
10,404 | https://devpost.com/software/social-distance-classroom-occupancy-calculator | Inspiration
The unprecedented time we live in today was the inspiration for this program. Due to the world wide pandemic that has rapidly spread and impacted the lives of billions, we decided we wanted to develop a program that could be used as a tool to make living in the era of COVID-19 easier. As we are all rising sophomores at Vanderbilt University that will be returning to school in the fall, we know about the difficulties related to in person classes and social distancing. We developed this calculator as it can be used not only by us, but also by any school that will have in person classes while social distancing is in place.
What it does
Our program calculates the number of students that can safely fit in a classroom while following social distancing guidelines. The user can input classroom dimensions as well as specify the number and layout of available seating. Our program will calculate the occupancy of the room and provide a diagram of possible seating layouts.
How we built it
Our program is entirely written in Java.
Challenges we ran into
We are all beginners, so it was difficult to come up with a project that we had the expertise to complete in such a short time span.
Accomplishments that we're proud of
Working as a team on one program was a new challenge for us that we didn’t know how to tackle initially. However, we collaborated together well enough to develop the program submitted. We are also proud of our ability to apply our knowledge to a program that has relevant real world applications.
What we learned
As we are all at different levels of knowledge regarding Java, we attempted to pool all of our experience together. For some of us it was our first time programming in Java, for others it was our first time making a project/program without a set guideline of rules. Either way we learned how to be creative, how to take an idea and make it into a working program, and how to collaborate as a group.
What's next for Social Distance Classroom Occupancy Calculator
We would like to eventually design a webpage for the occupancy calculator in order to make it more accessible to the schools and organizations that could benefit from its use. Additionally, we’d like to be able to make improved seating diagrams that account for a more diverse variety of classroom arrangements. We would also like to update our program to take walkways and sloped lecture halls into consideration. In a later edition of Social Distance Classroom Occupancy Calculator we hope to tackle those arrangements to maximize the amount of students you can fit in a class.
Built With
intellij-idea
java
Try it out
github.com | Social Distance Classroom Occupancy Calculator | A quick and easy way to determine socially distanced classroom capacity and seating layouts. | ['hannahstepp15 Stepp', 'Cheyenne Deibert', 'Niya Burney', 'Alba Minxha'] | [] | ['intellij-idea', 'java'] | 41 |
10,404 | https://devpost.com/software/hands-on-uizcxy | Home Page Preview
Inspiration
BIPOC students often have difficult times connecting with businesses and companies run by people of color from their communities, so Hands-On is our way of allowing students to connect with these people for mentorships, jobs, etc.
What it does
The website, once it's in its fullest functioning form, will allow students to create profiles that employers/entrepreneurs can see and sort through when looking to fill positions, and also sort through employers in their area to get an idea of what kinds of opportunities exist for them.
How we built it
Our team built this website using several different tools. We mainly used HTML and CSS to create the base front-end framework and design. In this website, we also used Bootstrap.JS, the Google Maps API, JQuery, and Data table for the forms, data, and mapping. Our first step after we decided to create a web platform was to make bare-bones HTML files with embedded Bootstrap.JS scripts attached to help with design and creating mobile-responsive pages. We then populated the pages with content - general information about the sites' aims and further resources for our target audience of BIPOC students. The main part of the site was the listing and mapping of the participating businesses, which can be found in the "For Students" page. We were able to obtain the data from a spreadsheet that a local newspaper gathered listing BIPOC-owned businesses. For the mapping, we used the Google Maps API with a new API key. With all of these technologies involved in this process, we were easily able to achieve the Minimally Viable Product for Hands-On.
Challenges we ran into
Throughout the process, our team had many successes and many difficulties. Our first difficulty was in finding a project idea and narrowing down the scope to fit the short time frame. Once we decided on an idea with the help of a mentor, we ran into other challenges. Our main challenge was learning how to make a website since none of us were really full-fledged experts in HTML/CSS/JS. We had to overcome this challenge by helping each other out and providing resources to help us understand some of the concepts. Making the table proved quite difficult, while the mapping seemed unresponsive at first. Along the way, we also had some issues with the CSS code took turns looking for errors.
Accomplishments that we're proud of
Many of our accomplishments stem from running into issues when we were building the website. We are proud to have kept moving forward with the project and seeing that it finish to our best ability despite the countless amount of technical issues and errors when running our code. We are also particularly proud of learning how to implement JavaScript for our website which was built with html code.
What we learned
Through building this website we were able to gain experience of using various applications and tools to collect data and apply it to create resources on our website (this includes graphs and a map). Furthermore, we were able to work on improving our knowledge of writing code in html and css.
What's next for Hands-On
Although our site is currently not fully functional, the next step for this site is to address these issues. These improvements include finding a manner to store the users input into a database and also to have the table of opportunities available for students to automatically update when a new opportunity is submitted
Built With
bootstrap
css
datatables
google-maps
html
javascript
Try it out
handson.surge.sh
github.com | Hands-On | LinkedIn for BIPOC students | ['Francisco Duarte', 'Emily Lara', 'Emily Coltharp', 'Sohan Gade'] | [] | ['bootstrap', 'css', 'datatables', 'google-maps', 'html', 'javascript'] | 42 |
10,404 | https://devpost.com/software/rick-rolled-rube-goldberg | Inspiration
Our inspiration was a Rube Goldberg machine. These machines go through many steps that end up resulting in the completion of a trivial task.
What it does
We put our own twist on a Rube Goldberg machine by allowing user interaction. Through multiple mini games, the user is able to progress to the final video.
How we built it
Through javascript we coded most of the project. This includes the games, the interfaces and such. HTML and CSS were also used to create a sleek format and design on the site.
Challenges we ran into
Both of us are beginner coders with very little computer science experience. Through this process, we both needed to learn javascript to produce much of the website.
Accomplishments that we're proud of
We are proud of learning javascript, being able to work together and complete a website in a short time frame, being able to make interactive games, and overall proud of the work we put out.
What we learned
Not only did we learn a new language, Javascript, we also learned that CS takes a lot of patience and trial and error.
What's next for Rick Rolled Rube Goldberg
We would like to create more steps in the path to the final video. We would also like to refine our games to add more facets to them.
Built With
css
html
javascript
Try it out
github.com | Rick Rolled Rube Goldberg | Our own take on a virtual Rube Goldberg machine. | ['Sera Eviner', 'Etzio Rovello'] | [] | ['css', 'html', 'javascript'] | 43 |
10,404 | https://devpost.com/software/click-fast | Inspiration
I wanted to learn to create chrome extensions, and thought of a random jugaad, for the jugaad prize.
What it does
This app is meant to make you move faster while browsing. Based on the speed you choose, if you don't click around in the webpage once every time interval, you get rickrolled.
How I built it
I made the buttons and styles, then I moved onto the js.
Challenges I ran into
My browser did not support javascript, for some reason, so it couldn't run the extension
Accomplishments that I'm proud of
I ended up with a working product that ran in the browser, just not chrome extension.
What I learned
I learned how to make the basic manifest.json and chrome extension ui.
What's next for Click Fast
Upload onto the Chrome Web Store.
Built With
css3
html5
javascript
Try it out
github.com | Click Fast | Keep clicking in your webpage or else | ['Vamsi Immanneni'] | [] | ['css3', 'html5', 'javascript'] | 44 |
10,404 | https://devpost.com/software/vandy-data-analysis-u2t1qn | Vandy Hacks Submission
We decided to do something data science related so we're analyzing trends in video games / finding correlations
In this process, we are determining the relation between genres of video games and sales and critical reviews. We came across this idea when looking for data for an alternate idea, and it interested us greatly. We learned how to utilize python pandas and Matplotlib.pyplot, which increased our overall knowledge of python and data analytics. This was built through the use of python files to "clean" the .csv files, which did pose a challenge at times on how to clean and preserve data, and then a python file to model the data.
This was built by Abhilash Raghuram, Vrajesh Prakhya, and Jacob Men.
Built With
jupyter-notebook
Try it out
github.com | The Relation Between Video Game Genres and Sales and Reviews | Video games are an essential apart of many lives today. More importantly the genre of games influences lifestyle. In this data analysis, we look at how genre is affected by sales and reviews of games. | ['Abhi Raghuram'] | [] | ['jupyter-notebook'] | 45 |
10,404 | https://devpost.com/software/vandyhack-bladblad | This is our website
Fill in or upload your essay and click "Check Ranking" button
Click "Convert" and check out what we made
Inspiration
Replacing repetitive words should be beneficial for college students, especially international ones that do not use English as their mother tounges.
What it does
It replaces repetitive words in an essay with respective synonyms, which are stored in a 'bigThesaurus.txt'
How I built it
With JavaScript, HTML & CSS and Java.
Challenges I ran into
The most challenging task is connecting or linking several projects with each other
Accomplishments that I'm proud of
I could somehow execute java file by using javascript function :))
What I learned
How to create a Javascript server
How to send data from client to server
What's next for Grammar Checker
The Big project could be paraphrase and linking words suggestion.
Built With
css
html
java
javascript
Try it out
github.com | Essay Helper | Improve your essay with better word choice!!! | ['Katorin Tran', 'Kyrie Nguyen', 'Nguyễn Lan Chi'] | [] | ['css', 'html', 'java', 'javascript'] | 46 |
10,404 | https://devpost.com/software/a-6skrmf | Welcome Page
Register Account
Chat Lobby
Chat Room
Inspiration
Since face to face interactions are now considered a risky action, it's time to bring interactions to the online world. We wanted a place where people with passionate ideals can join a room and argue those ideals. It's important to create an intellectual debate in order to convince others of a certain position. We wanted people in quarantine to have lively debates with people across the world as it's important to chat with others.
What it does
Users can create an account and login to access a lobby filled with different rooms. The rooms can have a variety of topics and users can choose to join any of these rooms. Once in a room, different users can begin to discuss their respective perspectives regarding a certain topic.
How I built it
React was used to design the front end.
Challenges I ran into
We started the weekend with 4 people on the team and it went down to two at the end. We were faced with more work than anticipated. We also encountered a huge learning curve that was required to learn how to connect firebase with react components.
Accomplishments that I'm proud of
Overall, the front end looks really good and the main function of each component works. Considering how half our team left in the middle, it's fortunate that our project got to where it is.
What's next for Argue.Me
We're looking to connect firebase with the front-end to make the application viable. We also seek to add a bunch of additional features including video-chat, password-protected rooms, and adding a judge and spectator feature.
Built With
firebase
node.js
react
Try it out
github.com
docs.google.com | Argue.Me | A web-application designed to encourage intellectual debates between people around the world | ['rayye1 Ye', 'paramgandhi'] | [] | ['firebase', 'node.js', 'react'] | 47 |
10,404 | https://devpost.com/software/election_model | 2020 Election Model
By Rohan Vasavada, Matthew Jalnos, Niharika Chintalapati, Amrith Ravikumar
This project focuses on
machine learning
, data mining, and data science. We collected data from a variety of public sources and used it to construct a multiple linear regression model to predict presidential elections.
We have gained valuable experience working with Python, specifically the Pandas library. We also expanded our statistical programming skills, and we explored data analytics.
While we had a limited amount of time to work on this project, we are looking forward to collaborating to create more machine learning projects in the future.
Built With
python
Try it out
github.com | Election Forecasting Model | With an impending presidential election in the midst of a worldwide pandemic, machine learning enables us to predict the outcome of the Election of 2020. | ['mjalnos2 Jalnos'] | [] | ['python'] | 48 |
10,404 | https://devpost.com/software/chromera | Inspiration
Negotiating your tech compensation can be a tricky process as there's a lot outside of the base salary that forms your total compensation package. There's often stress and confusion when trying to understand the compensation.
That's why we created Chromera, a fin-tech web app that helps you understand your compensation, projected growth, and after-tax salary in an instant!
What it does
Chromera is a web application that allows tech professionals to easily analyze and understand how their total compensation statement is broken down by using a variety of different visuals. Tech compensation is made up of base salary, a target bonus, stock grants (over 4 years), and sign-on bonuses (in addition to relocation assistance and other perks). By entering data into the various fields, the user can easily calculate and visualize their compensation. Once they're done, they can share their unique URL with their friends and family, and compare the results!
How we built it
We used React.js for the front end, and Node.js, Express.js, and MongoDB for the back end.
Built With
create-react-app
express.js
javascript
jsx
material-ui
mongodb
node.js
react
recharts
Try it out
github.com | Chromera | Simplify tech compensation and taxes! | ['Abinavraj Ganesh Sudhakar', 'Kaitlyn Zhang'] | [] | ['create-react-app', 'express.js', 'javascript', 'jsx', 'material-ui', 'mongodb', 'node.js', 'react', 'recharts'] | 49 |
10,404 | https://devpost.com/software/petcare-tracker | Inspiration
In the United States alone roughly 37% of dogs are overweight and 19% are obese. This equates to more than 50% and research has found that these numbers will continue to grow. More often than not dogs are overfed or given poor exercise leading to severe health issues and decreased life expectancy. When we talked to veterinary professionals, they told us how they usually have to calculate the lean weight of the owner’s dog to update the food amount given to their dog on a daily basis. The problem is dog owners usually only go to checkups once a year. That means that the food amount will eventually be invalid, and the dog may be eating too little or too much based on its lean weight progress over time.
What it does
Our app takes in user input of a dog's characteristics and information to determine how much food and exercise the dog should be receiving on a daily basis. What’s unique about our app is that we have an API that will progressively update the age of the dog, and we have our own python machine learning predictive model using Keras that will predict what the lean weight of the dog will be over time since we already know how much the dog is eating every day. The predictive model is graphed on the nutrition page, and you can see key weight milestones for the dog such as when it’s 1 year old, 2 years old, wtc. We also have additional features such as a Vaccine Log that will help the user keep track of all past vaccines and a Behavior Log that will help owners track significant behavioral changes which could ultimately help veterinarians diagnose diseases and problems sooner.
How we built it
We used the Flutter SDK by Google to create an app that can run both on the app store and the play store. The primary language we used was dart, and we worked as a team and split up different pages of the app, and once we were done with our individual work, we merged everything using GitHub. Our key emphasis throughout the app was to have a simple but functional user experience. Most other pet tracking apps only track physical activities or calorie count, but require the user to enter in the calorie amount and exercise time every time the dog eats or wants to go out. We knew this can be disheartening for a consumer to consistently use an app, so our main focus was to have one setup process where you set up your dog’s information when you first download the app, then the user will never have to edit anything again. We also chose a lighter tone for the UI of the app to make it seem more simplistic to the user.
Challenges we ran into
When submitting we ran into technical difficulties since our Zoom calls weren’t working. We also had a lot of challenges with the Flutter software. We also experienced a lot of problems with the animations throughout the app. We wanted to make the user experience as appealing as possible, so our decision to spend a significant amount of time on it led to numerous animation bugs and rendering problems. Issues with implementing the API and other UI navigation issues constantly popped up as well but we worked through it together, and we are extremely proud of the product we produced.
Accomplishments that we're proud of
We are most proud of the nutrition page because there is currently no app that can predict the lean weight of a dog over time, and determine the exact amount of food the dog should be eating. The model required the implementation of an API that could determine time zones, and update the age of the dog over time. This implementation in itself was difficult for us, and we were very proud to see everything work in cohesion. We were also proud of the animations throughout the app and transitions between screens because these ultimately made our app look more professional and appealing for us to use.
What we learned
We learned a lot about how to make an app, and specifically how to implement an API and python back end. This was the first time we had built an app through the Flutter software, and we were excited to create an app which would work for both IOS and Android. We spent quite some time working through the small errors so it was very nice to solidify the basics. We did have experience with the android studio so it made it easier for us to build this app as a whole, but we learned a lot about Flutter and Dart.
What's next for PetCare Tracker
So currently we are focusing on creating a fully functional and viable prototype as there are many features and tweaks we would like to make. Once we do that we plan on running a few Beta trials with Pet Owners and their Vets. At that stage, the revenue would be generated through ads. If our trials prove to be successful we will file for a proprietary license and copy-right the code. We’ve read the USPTO criteria and we believe our app would be eligible for a patent as well since with combination of features, especially the predictive model. For our third stage, we would also generate revenue through a licensing fee if we can work with pet clinics.
Built With
dart
flutter
python
timeszonesapi
Try it out
drive.google.com | PetCare Tracker | A solution to so many dogs in the U.S. being overweight and obese is an app that monitors the dog's health while providing the necessary information to maintain fitness. | ['Akhil Giridhar', 'Kaushik Indukuri', 'Dreadnought202'] | [] | ['dart', 'flutter', 'python', 'timeszonesapi'] | 50 |
10,404 | https://devpost.com/software/hands-on-nashville | What it does
The goal is to create an ecosystem map for the Nashville Entrepreneurial Ecosystem. This map will allow anyone to easily explore the local startup ecosystem, find out what resources are available, and determine which resources are the best fit for them. This site will touch hundreds of local organizations and has the potential to be seen and utilized by thousands of entrepreneurs.
How we built it
We built the web pages based on the design that we received from Nashville- EC team. The database is designed to hold parameters as 0's and 1's in columns and organizations in rows. The suggestion algorithm takes the parameters of the user's input as 0's and 1's and outputs the names of the organization which matches more parameters of the user's input in decreasing order.
Challenges we ran into
Since neither of us was proficient in PHP, we ran into challenges of running and testing the PHP file. Creating the database on our local machines was another challenge that we overcame.
Accomplishments that we're proud of
We are really proud of creating the user's input from exactly as the requirements, and outputting organizations to the user. We are also proud of solving and brainstorming for the algorithm.
What we learned
We learned a lot coming up with the algorithm, about working with a non-profit, running and testing PHP files, and the best of all to have fun with people from all around the world!
What's next for Nashville Ecosystem
Nashville- EC has a long way to go from implementing the centralized database, and the suggestion algorithm to utilizing the database to create an ecosystem map for an easy, manageable way to find resources for entrepreneurs.
Built With
bootstrap
css3
html5
javascript
mysql
php
Try it out
www.ec.co
github.com | Nashville Ecosystem | NEC's mission is to connect entrepreneurs with critical resources to create,launch&grow businesses.We designed an algorithm that matches the users to most relevant organizations in an orderly fashion. | ['Lepakshi Agarwal', 'Sohil Jain'] | [] | ['bootstrap', 'css3', 'html5', 'javascript', 'mysql', 'php'] | 51 |
10,404 | https://devpost.com/software/qr-code-generator-sqnk8t | QR-Code-Generator
QR Code is a small picture that contains certain hidden message/information
It can be used to share your information too
QR Code Generator can be used to create your own QR Code!!
Built With
dart
kotlin
objective-c
swift
Try it out
github.com | QR-Code-Generator | Let's secure the data. | ['Abhishek Doshi'] | [] | ['dart', 'kotlin', 'objective-c', 'swift'] | 52 |
10,404 | https://devpost.com/software/meme-generator-q9o4pd | an example of a meme
Inspiration
I took a online reactJS course by Bob Ziroll
And I love memes :)
What it does
It generates meme with custom top and bottom text
How I built it
I built it with reactjs
Challenges I ran into
Learn how reactjs works and learn how amazing it is
Accomplishments that I'm proud of
It's useful for me when I want to create a new meme
What I learned
ReactJS: react, react-dom, life cycle, state and setState, etc...
a little bit of improvement in my CSS
What's next for meme-generator
This project still has a lot of flaws. I definitely update this application, such as client can download meme, could generate meme gif, or be dynamic in positioning text
Built With
css
html
javascript
Try it out
thevuong8000.github.io | Meme Generator | Meme Generator created with reactjs | ['Katorin Tran'] | [] | ['css', 'html', 'javascript'] | 53 |
10,404 | https://devpost.com/software/ar-anatomy-827wgq | Ar view
Inspiration
As we know that this pandemic is really tough for us so I made an AR app which will help the people as well as the doctor
What it does
It will give the virtual world related information of our body parts.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for AR Anatomy
Built With
augmented-reality
echo-ar
Try it out
drive.google.com | AR Anatomy | AR based app for the hospital | [] | [] | ['augmented-reality', 'echo-ar'] | 54 |
10,404 | https://devpost.com/software/e-learning-platform-for-students | Different AR Demos
AR - Microscope
Our App
online meet on conducted on our sited
Flowchart
Report - After attempting test
Wordpress - Google Cloud
E-learning-platform-for-students
Brief description of steps taken to complete the project
The initial set up :
1. Bought Virtual Machine.
2. Installed Word Press on Virtual Machine.
3. Designed user-friendly Website.
4. Created AR (Augmented Reality) based app for visualisation
Connections :
1. Virtual Machine IP Address linked to domain.
2. Generated SSL Certificate (https) for website
3. Developed the App
The output :
1. Students can visualise 3D models in AR as well as Browser
(e.g. Digestive system, Earth's Core, Microscope)
2. Teachers can mark student attendance and add exam marks on our portal.
3. Study material (Resources) for students to study during pandemic.
4. Parents can see their child's attendance and marks on portal by logging in.
5. Students can attempt proctor (webcam) based exams (ensures no cheating)
6. Teachers can see students online exam report in detail.
(Face detected or not if not - screenshot , recording when noise detected)
7. Students can attend live lectures (classes) on our site itself.
[To download app Click Here]
Technology Stack
For hosting website -
Google Cloud
For integrating Augmented Reality feature -
echoAR and Unity
Improve site performance (CDN) -
Clouflare
Domain service -
.xyz
For designing website -
Wordpress & Elementor
Built With
.xyz
cloudflare
echoar
elementor
google-cloud
unity
wordpress
Try it out
github.com
www.dscjscoe.xyz | E- Learning Platform + Augmented Reality + Login portal | Online portal for Student, Parents, Teachers to see attendance, marks, upcoming events ( Website & App) Portal + Augmented Reality Library (Created by us) for visualisation and better understanding | ['Sanket Patil', 'Chaitanya Abhang', 'Tejas A', 'Mahesh Gavhane'] | [] | ['.xyz', 'cloudflare', 'echoar', 'elementor', 'google-cloud', 'unity', 'wordpress'] | 55 |
10,404 | https://devpost.com/software/smart-tracker-covid-19-ewyhzx | 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 I 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 I ran into
At time of integrating the chatbot in application.
Accomplishments that I'm 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 Smart-Tracker-COVID-19
For the better conversation we will be looking to work more on chatbot.
Built With
ai
android
dialogflow
newsapi
sqlite
Try it out
drive.google.com | Smart-Tracker-COVID-19 | Developed an android application to track COVID-19 current situation in all over world and stats, all state wise in India | ['Pramod Paratabadi'] | [] | ['ai', 'android', 'dialogflow', 'newsapi', 'sqlite'] | 56 |
10,404 | https://devpost.com/software/vandy-classfinder | Popup window shows class names and what requirements they fulfill
Select major for extension to use
Future button to use instead of extension icon
Vandy-ClassFinder
Chrome extension that tells students what part of their major is being fulfilled by each class shown on YES. This project was created during VandyHacks Summer edition by Alex, Claire, and Hadley.
To install the Chrome extension:
Clone the repository onto your local machine into a known directory
Open a new Google Chrome browser, and navigate to the
extension management page
In the upper right corner, toggle
Developer Mode
Click on the
Load unpacked
button in the upper left corner, and select the extension's directory
To pin the Chrome extension to the taskbar:
Click the Puzzle piece in the taskbar
Pin the
Vandy Class Finder
extension
To re-load the Chrome extension after making a change:
Reload the
extension management page
, and Chrome will reload the extension
To see the action of the Chrome extension:
Click on the Vanderbilt icon in the pinned tab bar
Challenges Faced:
None of the team had ever made a Chrome extension before, and have limited experience in Javascript
This project was a great learning experience as it drew on all of our abilities to work together remotely
To be continued:
Connect major set in options to selectedMajor in sourcePage.js
Replace switch statement with variable that returns value from parsing through Excel function
Add majors outside of engineering
Connect
updated class details
button to popup
Built With
chrome
javascript
Try it out
github.com | Vanderbilt Class Finder Chrome Extension | Chrome extension that adds in a class's concentration to Vanderbilt's class search tool, YES. | ['Hadley Shapland', 'Alex Feeley', 'Claire McGonigle'] | [] | ['chrome', 'javascript'] | 57 |
10,404 | 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'] | 58 |
10,405 | https://devpost.com/software/team5_discomfort-studios | Seek Discomfort
Inspiration: We Created a Club at Georgia Tech to Seek Discomfort. It grew. Fast. We realized people want to get out of their comfort zone, they just need a community to help them do so. Introducing the Discomfort Studios App- Building a community of seekers growing by expanding their comfort zone.
Built With
adobe
Try it out
docs.google.com | Team5_Discomfort Studios | Building a Community of Users Focused on Personal Growth Through Expanding their Comfort Zone. | ['Reed Blanchard', 'Chris Ozgo'] | [] | ['adobe'] | 0 |
10,405 | https://devpost.com/software/tek-truk-im4svp | Inspiration
The suffering people in the cities that we hold near and dear to our hearts and their need for a service that will help them to get off of the streets are our main inspirations.
What it does
Our program provides a conveniently located space where people can be guided through the job application process and have access to computers and WiFi.
How I built it
We created a website through Figma that allowed us to cater to those who may not be computer literate, by not requiring multiple tabs to be open at a time.
Challenges I ran into
Figuring out where our funding would from was an issue. We were not quite sure who would be willing to sponsor a program quite like ours. Figuring it out in less than 24 hours was the biggest challenge when it came to searching for funding opportunities.
Accomplishments that I'm proud of
We were able to design and create a website demo, we were able to compile many of the components that would need to consider to be successful with our business, and we were able to do it all in 48 hours.
What I learned
I learned the importance of questions, and considering the multiple aspects and challenges that may come up in creating a business.
What's next for Tek Truk
After finally setting up in Oakland we'd like to move to other cities or states like Las Vegas, Nevada.
Built With
figma
Try it out
www.figma.com | Tek Truk | Driving Motivation and Self Sustainability | ['Jahve Hawkins'] | [] | ['figma'] | 1 |
10,405 | https://devpost.com/software/q-mak-3joxk4 | Inspiration
The technology used in education in India and other developing countries is not up to the standards that other developed countries are using for a decade. One of our teammate's mother is a teacher at an Indian government school and it consumes a lot of her time to make quizzes for midterms and final exams.
What it does
Create quiz (paste text, scan test from camera/gallery). Print out Quiz. Scan filled answers sheets for quick grading.
How I built it
Since the code was too long to be completed within the time frame, we have used Adobe XD to illustrate how the project will look like.
Challenges I ran into
Designing and learning AdobeXD in 24 hours.
Accomplishments that I'm proud of
Meeting wonderful teammates and mentors.
What I learned
There is a large untapped potential in the educational market in developing countries.
What's next for Q-Mak
Release it on a global scale and revolutionize the educational field.
Built With
adobe-illustrator
java
Try it out
docs.google.com | Q-Mak | Making quizzes has never been easier | ['Puneet Bajaj', 'Kartikey Sankhdher', 'Anchita Shetty', 'Bhakti Ghaghda'] | [] | ['adobe-illustrator', 'java'] | 2 |
10,405 | https://devpost.com/software/yaara-x0t1nh | tagline
advertisement idea
Inspiration
COVID-19 and the self-care crisis
What it does
A one-stop-shop for all of your self-care needs in one streamlined app
How I built it
We focused on the business and design aspect of our app and chose to develop our app once we finalized more details about our product (basically explain why we did not code any features yet)
Challenges I ran into
We had to focus on a few aspects of self-care strategies so that our app would not become overwhelming to the user.
Accomplishments that I'm proud of
We spent a long time developing the idea, and I'm proud of us for taking that time in order tohave a strong foundation for the rest of the project.
What I learned
Teamwork is hard, but communication makes it easy.
What's next for yaara
Yaara, which means “friend” in Hindi, aims to allow the user to be a friend, whether that is a friend to themselves or a friend to others. Hopefully yaara will allow growth within communities long after the pandemic is over.
Built With
a
and
css
figma
kit
wirefare | yaara | food, mood, and exercise, dood. | ['Ali Barlow'] | [] | ['a', 'and', 'css', 'figma', 'kit', 'wirefare'] | 3 |
10,405 | https://devpost.com/software/hiscore | Team#12.Mogli
Inspiration
Feeling lethargic and lacking motivation to study or exercise due to extended quarantine
What it does
It provides a platform for college students in need for external motivation to keep up themselves with their personal academic work. standardized test.
How I built it
We mainly used Figma.
Challenges I ran into
Figuring out how to work Figma & discovering the problems before getting directly into the solution.
Also figuring out ways to earn profit and sustain our business in the long-run.
Accomplishments that I'm proud of
Completing the project!
What I learned
Cooperation and Virtual communication with the team.
What's next for HiScore
Potentially, actual implementation of the business.
Then Identify the most optimal study pattern through the user experience and adjust based on those collected data.
Built With
figma
Try it out
docs.google.com | Team#12.Mogli - HiScore | We help college students seeking external motivation to perform better on standardized tests and increase motivation to study by connecting like-minded students from around the world. | ['Jingyu Zhang', 'Abhijat Chauhan', 'Matthew Yeon', 'Michael Chang', 'Michelle Gunawan'] | [] | ['figma'] | 4 |
10,405 | https://devpost.com/software/bluex | Inspiration
High Unemployment rates for blue-collar workers in the US was the inspiration for our solution. Many struggled the past few months without a job due to the Coronavirus and found it difficult to make ends meet. As the economy recovers and markets open up, many of the unemployed face the daunting challenge of finding new and suitable jobs.
Furthermore, we were also appalled to know that hiring errors in the US have resulted in huge losses for companies. We found that although there were many attempts to optimise the white collar job hiring process, there were few to none addressing the blue collar industry- an industry that continues to play a critical role in our economy.
As such, we were inspired to use this Hackathon as an opportunity for an innovative solution to resolve this issue.
What it does
blueX streamlines hiring processes and helps match job applicants to organisations they have a good fit for. This matching sequence is based on the 5 big character traits that help identify person-organization fit, enhancing employee performance, happiness and commitment. This is enhanced by machine learning which aims to produce the best fitting applicants for companies.
How I built it
The UI/UX was designed using figma. The back-end will utilise machine learning.
Challenges I ran into
It was difficult to establish a working algorithm within 48 hours.
Accomplishments that I'm proud of
As individuals with minimal coding experience, we are proud to have been able to put up a MVP with the help of figma. More importantly, as our first Hackathon, we are proud to have been able to produce a sound and cohesive solution to address the problems in America's job market.
What I learned
We leaned various business concepts and presentation skills through the workshops and consults.
What's next for blueX
The team would first like to take 48 hours off. After which, we would be excited to bring this product to market as our attempt to address the issues with job hunting and hiring.
Built With
figma
machine-learning | blueX | A market changing HR technology that focuses on blue collar workers | ['Brandon Tan Jon Wee', 'James Tan', 'Joshua Wong'] | [] | ['figma', 'machine-learning'] | 5 |
10,405 | https://devpost.com/software/bidbeyond | Inspiration
Our inspiration for our project is primarily rooted in the efforts to build back our economy during the COVID-19 pandemic. Thus, we chose to incorporate college students in our business plan.
What it does
BidBeyond facilitates transactions between businesses and consulting groups that wish to offer their services without joining large consulting corporations. It has a free service and paid service branch that allow businesses to choose the cost they are willing to incur for consulting services. These two branches also enable college students and other up-and-coming consultants to offer their services at a discounted or free rate.
How we built it
We used tools from Wix.com to help create and visualize our website in a unique way.
Challenges we ran into
We ran into challenges such as coming up with the revenue structure of BidBeyond and finding revenue streams.
Accomplishments that we're proud of
We were able to create this business model in less than 48 hours, as well as calculating financial projects for long-term success.
What we learned
We learned that there are other competitors in the consulting industry who want to find different ways to offer their services.
What's next for BidBeyond
Find opportunities for fundraising to generate capital in order to engage in operations.
Built With
wix
Try it out
iliaskclark.wixsite.com | BidBeyond | Bid Big, Build Beyond! Explore your horizons | ['Daniel He', 'Amanda Xie'] | [] | ['wix'] | 6 |
10,405 | https://devpost.com/software/underground-water-level-detector | Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for
-
Built With
css
d3.js
django
google-maps
html
javascript
mapbox
numpy
pandas
python | Water | - | ['Vaishanavi Patil', 'Arpan Abhishek', 'PRATIK MUKESH BHARUKA', 'YASHWANTH JAIN'] | [] | ['css', 'd3.js', 'django', 'google-maps', 'html', 'javascript', 'mapbox', 'numpy', 'pandas', 'python'] | 7 |
10,405 | https://devpost.com/software/cadence-jm1g0p | Our About us section on our website
Some features we highlight on our website
Our Call To Action which is to sign up for our platform
Membership prices on our website
Inspiration
The Inspiration for Cadence came from my team and I wanting to create something that would help small artists in the world especially during COVID-19.
What it does
Cadence is a platform that helps underrepresented artists and businesses connect for job opportunities and networking
How we built it
One of our team members is experienced with UI design so they made the website on webflow.
Challenges we ran into
There were many challenges we ran into while creating Cadence such as trying to narrow our niche down so our company's plan doesn't get lost in translation while trying to gain profitability
Accomplishments that we're proud of
We are all proud of our MVP which is the website because of how professional we got it to look and be in a day.
What we learned
We learned that making a business isn't easy. From idealization about what the company would be doing to small details like website logo and colors were all decisions we took together as a team and although it was done in a short amount of time, we are proud.
What's next for Cadence
Some ideas my team and I came up with in order to scale Cadence was to:
Create a subscription-based application for artists
Create tiers for the premium users both businesses and clients
Scale to other cities which have an untapped market of musicians
Built With
css
html
javascript
webflow
Try it out
cadenceatl.webflow.io | Cadence | Revive. Renew. Reconnect. | ['fatima subhani', 'Shiven Sinha', 'anushree jain', 'Zackary Eccher'] | [] | ['css', 'html', 'javascript', 'webflow'] | 8 |
10,405 | https://devpost.com/software/cheese-trap | Inspiration
"인생네컷"
What it does
Leave memories for college students in a physical form.
How we built it
In process...
Challenges we ran into
Researching and statistics.
Accomplishments that we're proud of
Design and specific details of marketing.
What we learned
So many processes must be passed to make a business.
What's next for Cheese Trap
Actual development.
Built With
photobooth | Cheese Trap | The revolution of photobooth | ['Jay Lee', 'Jiyeon Kang', 'Suyeon Kang'] | [] | ['photobooth'] | 9 |
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