🏎️ NEAT-based Car Simulation

This project uses the NEAT (NeuroEvolution of Augmenting Topologies) algorithm to evolve neural networks that control cars in a simulation. The cars navigate a track and are evaluated based on their performance, with rewards for moving forward and avoiding crashes.

✨ Features

• 🚗 Simulate cars controlled by neural networks evolved using NEAT.
• 🗺️ Multiple maps with different car sizes and positions.
• 🖥️ User interface for selecting maps and starting the simulation.
• ⏱️ Real-time visualization of the simulation.

🎥 Video Demo

Watch the project in action:

test.mov

🔧 Installation

1. Clone the repository:

   git clone https://github.com/yourusername/neat-car-simulation.git
   cd neat-car-simulation

2. Install the required packages:

   pip install -r requirements.txt

🚀 Usage

1. Run the main script:

   python main.py

🙏 Acknowledgements

• This project was inspired by the tutorials from the YouTube channel NeuralNine.

📝 License

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