Skip to content

About

Web Application that predicts the probability of Forest Fire based on various environmental factors. Users can input factors like temperature, humidity, oxygen level, and wind speed, and the app uses a trained Machine Learning model to make a prediction.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Latest commit

 

History

6 Commits

Folders and files

Repository files navigation

Forest Fire Prediction Web App

This repository contains the code and resources for a web application that predicts the probability of forest fires.

Features

  • Predicts forest fire probability based on user input
  • Trained on a dataset of historical forest fires and environmental factors
  • Uses a Random Forest machine learning model
  • Provides information on wildfire safety and prevention

Deployed web app

Screenshot 2023-12-26 221836

Screenshot 2024-02-08 071745

Technologies used

Python Flask scikit-learn NumPy Pandas

About

Web Application that predicts the probability of Forest Fire based on various environmental factors. Users can input factors like temperature, humidity, oxygen level, and wind speed, and the app uses a trained Machine Learning model to make a prediction.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages