Dino Game

This is a Python project that recreates the popular Chrome Dino Game using the Pygame library. In addition, the game is automated using a genetic algorithm and the NEAT (NeuroEvolution of Augmenting Topologies) algorithm.

Requirements

• Python 3.x
• Pygame 2.1.2
• neat-python (NEAT library)

Installation

1. Clone the repository or download the source code.

   git clone [https://github.com/your-username/pygame-dino-game.git](https://github.com/MuslimMuhammadMusa/DinoAI-Genetic-Algorithm.git)
   

2. Navigate to the project directory.

   cd pygame-dino-game
   

Usage

To play the game manually, run the following command:

python main.py

To run the automated version of the game using the NEAT algorithm, run the following command:

python main_ai.py

Automated Gameplay

In the automated version, the AI agents are trained to play the game using the NEAT algorithm. The genetic algorithm evolves a population of neural networks that control the Dino's actions (jumping or not jumping). The AI agents learn and improve their performance over generations.

Acknowledgments

• The Chrome Dino Game was originally created by Google.
• The NEAT algorithm implementation is based on the neat-python library.

License

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