Algerian Forest Fires Dataset 🔥🌲🔥

This project aims to predict the Fire Weather Index (FWI) using machine learning based on the Algerian Forest Fires dataset. The dataset contains 244 instances from two regions of Algeria: Bejaia (Northeast) and Sidi Bel-Abbes (Northwest), collected from June 2012 to September 2012. 📊🌍🔥

Dataset Information 📅📌🔥

• Total Instances: 244
  • Bejaia Region: 122 instances
  • Sidi Bel-Abbes Region: 122 instances
• Time Period: June 2012 - September 2012
• Classes:
  • Fire: 138 instances
  • No Fire: 106 instances

Attributes:

• Day (June - September)
• Month (June - September)
• Year (June - September)
• Temperature (Celsius, 22 - 42)
• RH (Relative Humidity %, 21 - 90)
• Ws (Wind Speed in km/h, 6 - 29)
• Rain (Total rainfall in mm, 0 - 16.8)
• FFMC (Fine Fuel Moisture Code: 28.6 - 92.5)
• DMC (Duff Moisture Code)
• DC (Drought Code)
• ISI (Initial Spread Index)
• BUI (Buildup Index)
• FWI (Fire Weather Index - Prediction Target)
• Classes (Fire / No Fire)

Project Structure 📂🛠️📑

• app.py - Flask web application for predicting FWI
• templates/ - HTML files for UI (index & prediction pages)
• static/ - CSS & JS files for frontend design
• ridge.pkl - Pretrained Ridge Regression model
• sc.pkl - StandardScaler for data preprocessing
• README.md - Project documentation

How to Run the Project 🚀💻📡

1. Clone the repository:

   git clone https://github.com/omkar703/FWI_prediction
   cd FWI-prediction

2. Install dependencies:

   pip install -r requirements.txt

3. Run the Flask application:

   python application.py

4. Open the web browser and go to:

   http://127.0.0.1:5000/
   

Usage 🎯📈🌿

• The homepage provides an overview of the dataset.
• Users can enter environmental parameters in the prediction page to get an FWI prediction.

Technologies Used 🖥️⚙️📡

• Flask - Web framework
• Scikit-Learn - Machine learning model
• HTML, CSS, JavaScript - Frontend UI
• Python - Backend scripting

License 📜🔓🌎

This project is open-source and available under the MIT License.

Acknowledgments 🌍🙏📚

This dataset is obtained from Algerian Meteorological Services for research and educational purposes. 📖📊🌎