Covid-19 Machine Learning Model

We want to make a program that predicts whether or not a person is expected to have severe symptoms of COVID-19 based on user inputted variables.

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Inspiration

Old project ideas that we believed could be beneficial to this process.

What it does

Build a machine learning model that, given a COVID-19 patient's current symptom, status, and medical history, will predict whether the patient is at high risk. What we’re aiming to achieve with this project is to receive data from the user, have a machine learning program compare this to prior COVID patient data, and let the user know if their data statistically inclines them to be more likely at risk of severe covid complications or should have an inclination to seek or receive medical assistance.

How we built it

Built the code in Python for the user to access on a localhost, and built the basic code together on a Google CoLab

Challenges we ran into

Accidentally defining risk as an X value as well as a y-value Not having a clear definition of high-risk The user input resulted in an error

Accomplishments that we're proud of

Learning a new function of Python that has a wide use case

What we learned

a new function of Python in pickles, flask, and machine learning

What's next for Covid-19 Machine Learning Model

Improving general UI, Increasing data accuracy, and being able to record user feedback.

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