Help other with the insurance quote and make sure that they get what is suited for them and give them an educated answer based on their health.

What it does

Using a trained ML model to return the insurance quote for a user.

How we built it

We used Python Flask, Pandas, scikitlearn to build the application. We hosted this on google cloud compute so that the world can see it

Challenges we ran into

Machine learning is hard! And as the hackathon progressed, we lost members. This posed a great challenge for us as we had to learn new things that we have never used before and that really put us to the test!

Accomplishments that we're proud of

A 99% accurate ML model!

What we learned

How to use Google cloud compute, Material Design, more about ML and pandas.

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