Mali-98/AI-Flappy-Bird

# Flappy Bird AI Welcome to the Flappy Bird AI project! This repository contains a Python implementation of the classic Flappy Bird game that plays itself using artificial intelligence. The project utilizes the NEAT (NeuroEvolution of Augmenting Topologies) library to employ neural networks, genetic algorithms, and reinforcement learning. ## Features - **Neural Networks**: The AI uses neural networks to make real-time decisions while playing the game. - **Genetic Algorithms**: The NEAT algorithm evolves the neural networks over generations, improving their performance. - **Reinforcement Learning**: The AI learns from its experiences, optimizing its gameplay strategy. ## Getting Started To get started with this project, follow the steps below: ### Prerequisites - Python 3.x - Pygame - NEAT-Python ### Installation 1. **Clone the Repository**: ```bash git clone github.com ``` 2. **Navigate to the Project Directory**: ```bash cd AI-Flappy-Bird ``` 3. **Install Dependencies**: ```bash pip install -r requirements.txt ``` ### Running the Game 1. **Train the AI**: ```bash python main.py ``` 2. **Watch the AI Play**: - After running the script, the AI will start playing the game and evolving over generations. - You can observe the AI's progress as it learns to navigate the pipes more effectively. ## Project Structure - `flappy_bird_ai.py`: Main script to run the game and train the AI. - `game/`: Contains the game logic and assets. - `config-feedforward.txt`: Configuration file for the NEAT algorithm. - `requirements.txt`: List of dependencies for the project. ## How It Works 1. **Initialization**: The game initializes with a population of neural networks. 2. **Evaluation**: Each neural network controls a bird, attempting to navigate through the pipes. 3. **Selection**: The NEAT algorithm selects the best-performing networks based on their fitness scores. 4. **Crossover and Mutation**: New generations of neural networks are …