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.