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A machine learning model to forecast daily forest fire risk, considering factors like air quality, forest characteristics, and weather data, due to the rising frequency and severity of forest fires caused by global warming.

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anant00729/forest-fire-predictor

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Forest Fires

Description

This repository contains the work for the term project for CMPT 732 at Simon Fraser University. The project aims to analyze various factors related to forest fires over time, such as air quality, forest characteristics, and weather data, in order to develop a machine learning model that predicts the daily risk of forest fires, given their increasing frequency and severity due to global warming.

Presentation

The presentation can be found here: https://youtu.be/cF7k6bHub8o

Dashboard

This repository contains a deployed Dash dashboard that can be found here: https://snickers25242.pythonanywhere.com/

To Run

Inside each folder contains a complete readme that contains detailed instructions on how to run every script contained in this repository. This was done so that the user only needs to ensure compatibility with what they would like to run instead having to ensure compatibility with everything.

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A machine learning model to forecast daily forest fire risk, considering factors like air quality, forest characteristics, and weather data, due to the rising frequency and severity of forest fires caused by global warming.

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