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Final Website/Form
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Neural Network
Inspiration:
We were inspired by the current situation in the pandemic and how rising cases make it difficult to diagnose the severity of COVID in every individual, especially in high-stakes medical situations. We wanted to create a program that would determine the severity of responses to COVID-19 based on demographic data for each individual to solve this problem.
What it does:
It determines the severity of Covid-19 symptoms a person will have based on their demographic data and pre-existing conditions.
How we built it:
We built it using neural network and python functions, as well as using HTML to make a website. We built it with repl.it. We used data from the CDC and state databases to inform the neural network about how each demographic affected the mortality rate of an individual from COVID-19.
Challenges we ran into:
We ran into a lot of errors with the neural network, because it was something that was new to us, and we were trying to understand the framework as we added our own modifications. We also ran into a little trouble making the website, and we ultimately weren't able to integrate the python with the HTML.
Accomplishments that we're proud of:
We are proud of our website layout and are proud of our use of neural networks.
What we learned:
We learned how to use HTML and CSS, as well as how to use neural networks.
What's next for Severity of COVID-19 by Demographic:
What would be next is making the website more widely available for people to use or maybe making an app.
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