This project showcases a self-driving car simulation built using vanilla JavaScript, with no external libraries. It employs neural networks to simulate the decision-making process of a self-driving car.

• Vanilla JavaScript: The project uses pure JavaScript, HTML, and CSS.
• Neural Networks: Implements basic neural networks for decision-making.
• Sensor Simulation: Simulates car sensors for obstacle detection.
• Visualization: Visual representation of the car, road, and sensors.

To run this project, you'll need a modern web browser with JavaScript enabled.

1. Clone the repository:

   git clone https://github.com/HalemoGPA/Ai-car-bot-vanilla-js.git

2. Navigate to the project directory:

   cd Ai-car-bot-vanilla-js

3. Open index.html in your web browser.

• Open index.html to start the simulation.
• The car will attempt to drive itself using the implemented neural network.
• Modify the JavaScript files to adjust the car's behavior and neural network parameters.

• index.html: The main HTML file.
• main.css: The stylesheet for the project.
• main.js: The entry point for the JavaScript code.
• car.js: Contains the Car class.
• controls.js: Manages user inputs.
• road.js: Handles road rendering and logic.
• sensor.js: Simulates car sensors.
• network.js: Implements the neural network.
• visualizer.js: Visualizes the neural network.

Contributions are welcome! Please fork the repository and create a pull request with your changes.

This project is licensed under the MIT License.

• Inspired by various online tutorials and resources on self-driving cars and neural networks.

Feel free to customize this README to better suit your project's details and style!