Who we are

We're both high school seniors affected by COVID-19. We wanted to create a hack that revolves around this pandemic as a way to contribute something to the global effort to solve challenges created by COVID-19, despite just being young inexperienced coders.

What is is

We built a locally hosted website powered by Flask. The front-end consists of a clean and cute interface with useful hyperlinks to tips from the CDC, a COVID-19 interactive map, and an article on the importance and statistics of shutdowns. The website features a CSS grid, some simple animation, and Irasutoya illustrations used as CSS. The main part of the hack is displayed through the two input boxes where you put in your phone number and name. Once the submit button is clicked, the front-end, using javascript, will communicate through POST and GET requests with the python-powered backend. The back end parses your phone number for the area code to figure out your location and gathers live data about the quantity of COVID-19 cases in your respective state. This way, people have ease of access to information during this global pandemic at the palm of their hands.


Honestly, everything was a challenge. We both felt very inexperienced amidst all the collegiate students. I hardly ever touched python, and here I was scrambling to figure out how flask works (shout out to jason! he helped me lots!). My partner spent a lot of time setting up and training an AutoML model on public data about coronavirus cases to get a regression model that would predict number of cases given geographical location and date. Unfortunately, we ended up not using this due to time constraints interfering with us actually integrating the model APIs in a useful way. Overall, creating this project was a very exhausting yet rewarding 36 hours of our lives.

Project idea vs what we actually got done

We started out wanting to create a web app that, alongside providing links to verified helpful and credible resources about the COVID-19 virus, would be able to take in user input and predict the number of cases in their community. Unfortunately, we had to revise this to be able to have a finished working product. We revised our program to simply send users the current number of cases in their area based on their area code, but this is just a stand-in for what we imagine our product would actually do for users. Given more time, our project would have implemented the machine learning model that we trained to provide the user with predictions.

(side note, the auth key and sid are both private in case other people abuse it, so a new twilio acc would need to be used)

** all images used are from https://www.irasutoya.com/, which is free to use!

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