Inspiration

I was simply looking at data about the California Wildfires and realized that location and severity of the fire may have some correlation.

What it does

The program uses the past two years as a basis to determine whether an area is likely to have a major fire.

How I built it

I built this using Python and the EazyML platform.

Challenges I ran into

I was still learning how to use the EazyML API

Accomplishments that I'm proud of

I am glad I was able to learn how to use the EazyML API as a way to quickly implement Machine Learning into any project.

What I learned

I learned so much from using this API, not just this one specifically, but all APIs in general.

What's next for To Move, or Not To Move?

I hope that I can use more years as previous data to give better results to the user. I also would like to see if I can go to a more specific area than an entire county, and resize it down based on cities.

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