Neural Self-Driving Car

A simulation of self-driving cars using a neural network and genetic algorithm for training.

Features

• Neural Network: Feedforward NN for decision-making.
• Genetic Algorithm: Evolves car populations over generations.
• Sensor System: Ray-casting for obstacle detection.
• Physics Engine: Realistic car movement and collision.
• Visualization: Neural network weights and activations.

How to Run

1. Clone the repository.
2. Open index.html in a modern browser (Chrome, Firefox, Edge).
3. Use arrow keys to control the yellow car (manual mode).
4. Watch the AI cars (blue) learn to drive autonomously.

Project Structure