Our inspiration for the project was made by the ongoing pandemic.

What it does

This program uses the time series model on the EazyML API in order to effectively predict when outbreaks will occur.

How we built it

We used the EazyML API as well as a Flask framework.

Challenges we ran into

We ran into some challenges with hosting the webserver and running the API.

Accomplishments that we're proud of

Once we got the final product working, it felt amazing.

What we learned

We learned how front and backend developers work together to make amazing products.

What's next for Outbreak Alert

We hope that we might be able to include more factors in our dataset for better predictions.

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