Carbon Emission Calculator

A machine learning-based tool for predicting carbon emissions from flight routes. The project uses a Random Forest model to predict carbon emissions based on various flight characteristics.

Features

• Data preprocessing and feature engineering for flight route data
• Machine learning model for carbon emission prediction
• Model evaluation and visualization tools
• Web interface for easy interaction (coming soon)

Project Structure

Carbon Emission Calculator/
├── src/
│   ├── data/
│   │   ├── data_loader.py
│   │   └── feature_engineering.py
│   ├── models/
│   │   ├── base_model.py
│   │   └── emission_model.py
│   ├── utils/
│   │   └── visualization.py
│   └── train.py
├── data/
│   └── airline_routes.json
├── requirements.txt
└── README.md

Setup

1. Clone the repository:

git clone https://github.com/yourusername/carbon-emission-calculator.git
cd carbon-emission-calculator

2. Create and activate a virtual environment:

python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

Usage

Training the Model

To train the model and generate visualizations:

python src/train.py

This will:

• Load and preprocess the flight route data
• Perform feature engineering
• Train the Random Forest model
• Generate performance visualizations
• Save results in the training_results directory

Model Performance

The current model achieves:

• MSE: ~1.12e-07
• RMSE: ~0.0003
• R2 Score: ~0.9999

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.