Harshraj112/Forest-Fire-Weather-Index-Prediction

A machine learning web app that predicts the Fire Weather Index (FWI) using Ridge Regression, trained on the Algerian Forest Fires dataset. # 🔥 Forest Fire Weather Index (FWI) Prediction A machine learning web app that predicts the **Fire Weather Index (FWI)** using Ridge Regression, trained on the **Algerian Forest Fires** dataset. --- ## 🚀 Live Demo --- ## 📂 Project Structure ``` ├── app.py # Streamlit web app ├── application.py # Flask web app (legacy) ├── models/ │ ├── ridge.pkl # Trained Ridge Regression model │ └── scaler.pkl # StandardScaler ├── Dataset/ │ ├── Algerian_forest_fires_cleaned_dataset.csv │ └── Algerian_forest_fires_dataset_UPDATE.csv ├── notebooks/ │ ├── EDA And FE Algerian Forest Fires.ipynb │ └── 3.0-Model Training.ipynb ├── templates/ # Flask HTML templates ├── .streamlit/ │ └── config.toml # Streamlit theme config ├── requirements.txt ├── Procfile └── README.md ``` --- ## 🧠 Model Details | Item | Detail | |------|--------| | **Algorithm** | Ridge Regression | | **Preprocessing** | StandardScaler | | **Dataset** | Algerian Forest Fires (Bejaia & Sidi Bel-Abbes regions) | | **Target** | Fire Weather Index (FWI) | ### Input Features | Feature | Description | |---------|-------------| | Temperature | Temperature in °C | | RH | Relative Humidity (%) | | Ws | Wind Speed (km/h) | | Rain | Rainfall (mm) | | FFMC | Fine Fuel Moisture Code | | DMC | Duff Moisture Code | | ISI | Initial Spread Index | | Classes | Fire / Not Fire | | Region | Bejaia / Sidi Bel-Abbes | --- ## ⚙️ Setup & Run Locally ### 1. Clone the repository ```bash git clone github.com cd Linear_regression_project ``` ### 2. Create virtual environment ```bash python -m venv venv source venv/bin/activate # macOS/Linux venv\Scripts\activate # Windows ``` ### 3. Install dependencies ```bash pip install -r requirements.txt ``` ### 4. Run the Streamlit app ```bash streamlit run app.py ``` --- ## 📊 Notebooks - **EDA & Feature Engineering** — Exploratory analysis of the Alg …