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pulkitagar25/Algerian_Forest_Fire

Domaine:

environment and energy

Type de record:

software
Créateur:
pul
HĂ´te:
# 🔥 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