Neural Adventure is a simple yet engaging 2D platformer game that leverages machine learning and artificial intelligence for dynamic gameplay. In this project, I'm exploring the integration of AI to enhance game mechanics, enemy behaviors, and level design, creating an immersive and adaptive gaming experience.

• AI-Powered Enemies: Enemies that adapt to the player's actions using machine learning models.
• Dynamic Level Generation: Procedurally generated levels that offer a unique experience each time you play.
• Player Abilities: Smooth and intuitive controls with the ability to unlock new abilities as you progress.
• Engaging Gameplay: A blend of challenging obstacles, exciting power-ups, and interactive environments.

• Python: The primary programming language used for development.
• Pygame: A library for creating 2D games with Python.
• TensorFlow: A machine learning library used to train and implement AI models.
• NumPy: A library for numerical computations in Python.

To get started with the project, follow these steps:

1. Clone the repository:

git clone https://github.com/yourusername/AI-Gaming-Project.git
cd AI-Gaming-Project

2. Install the required dependencies:

pip install pygame tensorflow numpy

3. Run the game:

python main.py

I welcome contributions from the community! If you have an idea for a new feature, find a bug, or want to improve the code, feel free to open an issue or submit a pull request.

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

For any questions or suggestions, please contact me.