This is a simple car game implemented in Python using the Pygame library.

• Python 3
• Pygame library

1. Clone the repository:

   git clone https://github.com/your-username/car-game.git

2. Navigate to the project directory:

   cd dir

3. Run the game:

   python main.py

• Use the 'W' key to accelerate forward and the 'S' key to decelerate.
• Use the 'A' and 'D' keys to steer left and right respectively.
• Avoid collisions with the border and obstacles.

• Implement a Deep Q Network (DQN) to enable autonomous driving. This involves:
  • Researching and understanding the principles of reinforcement learning.
  • Designing and training a neural network model using DQN.
  • Integrating the trained model into the game environment to enable autonomous driving.
  • Tuning hyperparameters and optimizing the model's performance.
• Enhance the user interface and game features:
  • Add a main menu screen with options for starting the game, accessing settings, and exiting.
  • Implement customizable settings such as sound effects volume, screen resolution, and key bindings.
  • Introduce additional gameplay elements such as power-ups, different car models, and dynamic obstacles.
• Improve collision detection and physics simulation:
  • Refine collision detection algorithms to accurately detect collisions between the car and obstacles.
  • Enhance the physics simulation to provide more realistic movement and interactions between objects.
  • Implement advanced features such as vehicle damage, tire traction, and environmental effects (e.g., rain, snow).
• Optimize performance and compatibility:
  • Profile the game code to identify bottlenecks and optimize performance.
  • Ensure compatibility with different operating systems and hardware configurations.
  • Address any memory leaks, performance issues, or compatibility issues encountered during testing.
• Expand documentation and community engagement:
  • Provide comprehensive documentation for developers, including setup instructions, usage guidelines, and code documentation.
  • Foster community engagement by encouraging contributions, addressing issues, and incorporating feedback from users.
  • Create tutorials, walkthroughs, and educational resources to help newcomers learn about game development and Pygame.