Hiremorshadul/wildfire-predictor-flask

A production-ready Flask app for classifying “Fire” vs “Not Fire” on the Algerian Forest Fires dataset (244 instances from Béjaïa & Sidi Bel-Abbès, June–Sept 2012). Includes notebooks, trained model, and a simple web UI + API. # 🔥 Algerian Wildfire Prediction – End-to-End Flask App This repository contains an **end-to-end Machine Learning project** that predicts wildfire risk in Algeria using the **Algerian Forest Fires dataset** (June–Sept 2012). The project covers everything from **data preprocessing, model training, and evaluation**, to deploying a **Flask web application** for user interaction. Successfully deployed >> wildfire-predictor-flask.on… --- ## ✨ Features - **End-to-end ML pipeline**: Preprocessing → Training → Deployment - **Flask Web App** with user-friendly form - **Prediction Output**: Fire / Not Fire - **Clean UI** with modern design, header/footer, and info sections - **REST-style API endpoint** for JSON predictions - Fully documented **dataset attributes** for clarity --- Successfully deployed >> wildfire-predictor-flask.on… ## 🖼️ Application Screenshots ### Landing Page ### Prediction Page ## 📂 Project Structure ├─ application.py # Flask application entry point ├─ requirements.txt # Project dependencies ├─ models/ │ ├─ ridge.pkl # Trained Ridge Regression model │ └─ scaler.pkl # StandardScaler ├─ templates/ │ ├─ index.html # Landing page │ ├─ home.html # Prediction page ├─ static/ │ └─ style.css # Custom styles ├─ data/ │ └─ algerian_fires.csv # Dataset (optional if not included) └─ README.md ### 1️⃣ Clone the Repository ```bash git clone github.com