Flappy Bird ML with Neural Networks and Genetic Algorithm

This project is a machine learning-based implementation of the Flappy Bird game, where the bird is controlled by a neural network. The game simulates an evolving population of birds using a genetic algorithm, with each generation learning to improve through mutations and crossover.

Project Structure

• bird.py: Contains the Bird class representing the player.
• config.py: Contains the configuration for the neural network and evolution.
• evolution.py: Contains the evolutionary algorithm functions.
• game.py: Contains the game loop and main entry point.
• neural_network.py: Contains the NeuralNetwork class.
• pipe.py: Contains the Pipe class representing obstacles.
• requirements.txt: Lists the required Python packages.

Credits

Inspired by the original Flappy Bird game. This project showcases the application of neural networks and genetic algorithms in a game-based learning environment.