We developed an application to chase the fire to make classification and predict the areas where the fire will spread using artificial intelligence.
Controlled burns have become more important as fire suppression efforts have grown over the last century. Historically, smaller fires occurred in forests at regular intervals. When these fires are suppressed, flammable materials accumulate, insect infestations increase, forests become more crowded with trees and underbrush, and invasive plant species move in.
We hope to reduce the risks of fires and predict their occurrence and save people from these areas, and also animals that are found in forests such as the Amazon forests that are exposed to huge fires throughout the year.
We have inspired to choose this challenge because the world is exposed to many fires every year, as an example of the Amazon forests Since January 2019 until now around 80,000 fires in the Amazon.
We are developing this project to accomplish the benefits that regular fires historically provided to an environment while also preventing the forests from burning out of control and threatening life and property.
We used NASA dataset to build a machine learning model. The functionality of this model is to predict forest fires, its types, and which direction it will go.