# 🔥 Algerian Forest Fire Prediction
This is a Flask-based web application that predicts the likelihood of a forest fire based on weather conditions. The model is trained on the Algerian Forest Fire Dataset (2012) covering Bejaia and Sidi Bel-Abbes regions.
## 🚀 Features
- Web form input for weather attributes
- Machine Learning-based prediction (Fire / No Fire)
- CI/CD with AWS CodePipeline
- Deployed on AWS Elastic Beanstalk
## 🛠️ Tech Stack
- Python • Flask • Scikit-learn
- AWS Elastic Beanstalk • CodePipeline • HTML/CSS
## 📸 Screenshot
*A sample prediction result from the application.*
## 🧪 Run Locally
```bash
git clone
github.com
cd Algerian_Forest_Fire
pip install -r requirements.txt
python application.py