Forest Fire Prediction

This project aims to predict the occurrence of forest fires using machine learning. The project includes a Flask-based application that serves both backend (for model training and prediction) and frontend (for user interaction).

Link For Project:

https://forest-fire-prediction-of6q.onrender.com/

Web Page: (Created with ❤ using Threejs Models)

Folder Structure

• app.py: Main application file combining both frontend and backend.
• model/: Contains the trained model and script to train the model.
• requirements.txt: Dependencies for the project.
• static/: Static files (CSS, JS).
• templates/: HTML templates.
• data/: Folder containing the dataset.

DATASET INFORMATION:

Download the dataset from UCI Machine Learning Repository and place the forestfires.csv file in the data/ folder.

Installation

1. Clone the repository:

   git clone https://github.com/Blacksujit/Forest_fire_Prediction.git

2. Install the dependencies:

   pip install -r requirements.txt

3. Run the application:

   python app.py

4. Open your browser and go to http://127.0.0.1:5000 to use the application.

License

This project is licensed under the MIT License.