Withering Wildfires

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  Code Snippet of using datasets and AI

Inspiration

Living in California, we've seen first-hand the impact of wildfires in our environment. We even had school off due to terrible air quality. Wildfires are extremely dangerous and costly, and we realized how crucial it would be if there was a way to predict them. Natural disasters impact millions each day, and we understood how beneficial information about them was. So, we decided to use the data readily available to provide more of an outlook on wildfires and the risk of them.

What it does

Using datasets from credible sources, as well as AI using historical factors, the model will predict the risk of a wildfire in a particular area. The specific data we will be using is Live fuel moisture Content, satellite imagery, thermal anomalies, and meteorological conditions. We will convert this rather detailed information into something understandable for the everyday person with a website. The website provides sources to learn more, as well as educates civilians about the risk of wildfire where they live

How we built it

We used google collab and did tons of research on heat maps, ways to demonstrate and visualize our model, and used HTML/CSS/JV to build a user-friendly website. Thorough research of wildfire prevention and economic impact helped us determine the audience and use of the model.

Challenges we ran into

It was very hard to collaborate online but we used platforms like google collab and called numerous times. Furthermore, there were a lot of things that we really wanted to do but were hard to implement in an understandable and efficient way. We had to maximize the effectiveness of our model in a short period of time while making sure our idea was portrayed well.

Accomplishments that we're proud of

We have working code and datasets that provide accurate information, allowing our model to be very precise and useful. The website is extremely user-friendly and conveys sources and our idea well. We are proud that we were able to make a great model and prosper our idea in a short time.

What we learned

Persistence is key, especially in a hackathon where our ideas had to come to life. In the beginning, we had lots and lots of ideas for our project, and we learned that we wanted to tackle the issues closest to our heart. Within the time constraint, it was necessary to focus on the problems at hand at not get ahead of ourselves. This hackathon was a great opportunity to test our creativity, perseverance, and implementation skills, and we really learned to think out of the box.

What's next for Withering Wildfires

As touched upon in our project, we are hoping to expand across the US, apart from California, and even internationally. After realizing the benefits of our model all across the world, We may also build a downloadable app and expose it to common people. While not everyone lives in a wildfire-prone area, it is important to create awareness for those who do.

Built With

• github
• google
• google-collab
• nasa-wildfire
• weatherapi