Firewise

Inspiration

There have been many fires recently in California, and a lot of people don't understand how fires pose risk on their lives, and which areas are at risk. Therefore we made a product that can predict the severity of a wildfire in a certain area within California.

What it does

Firewise basically predicts the severity of a wildfire in a current area. The user can mark a location on the map and it will output the risk High - Being the most riskiest and action should be taken Medium - There are chances of a wildfire, and any necessary precautions should be made Low - No risk of a wildfire in that certain area.

How we built it

Using google collabs, we made a Machine learning model that takes in a coordinate inside california and outputs the danger that that area is in. We made our backend in django and our frontend with react

Challenges we ran into

Some challenges that we ran into where that we had a model, backend, and frontend, but it was difficult to merge them together to one cohesive product

Accomplishments that we're proud of

-The product works as we intended it to

We were able to achieve a lot, such as creating a working machine learning model without having any past experience.

What we learned

Throughout this project we learnt how to:

How to efficiently work under a deadline
Create a machine learning model from scratch(No past knowledge)
Create a backend server in Django
Create a frontend in react

What's next for Firewise

We want to be able to train our model to predict wildfires not just for California, but essentially every country, so every person in the world can be able to check the severity of a wildfire in a certain location.

Program runs on a local host