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πŸ”₯ Forest Fire Weather Index Prediction (FWI)

🌐 Live Demo πŸ‘‰ https://mlproject01-ljaa.onrender.com

πŸ“Œ Project Overview This is an end-to-end Machine Learning project that predicts the Forest Fire Weather Index (FWI) based on environmental conditions. The project includes:

-->Data preprocessing -->Model training (Ridge Regression) -->Flask web application -->Deployment on Render

πŸ› οΈ Tech Stack

-->Python
-->Flask
-->Scikit-learn
-->Pandas, NumPy
-->HTML/CSS
-->Gunicorn

πŸš€ Features User-friendly web interface Real-time prediction Scaled input using StandardScaler Fully deployed ML model

πŸ“‚ Project Structure

project/
β”‚
β”œβ”€β”€ application.py
β”œβ”€β”€ requirements.txt
β”œβ”€β”€ Procfile
β”œβ”€β”€ Model/
β”œβ”€β”€ templates/

βš™οΈ How to Run Locall

git clone https://github.com/AADIT9b/MLProject01.git
cd MLProject01
pip install -r requirements.txt
python application.py

πŸ“Š Model Used--->Ridge Regression

πŸ‘¨β€πŸ’» Author-->AADIT

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