Flappy-Bird-AI

Note - Required python modules are pygame and neat-python.

This code is for a Flappy Bird game where an AI learns to play the game using the NEAT algorithm. Here's a detailed explanation:

1. Game Overview:

   • This code creates a Flappy Bird game where an AI, using the NEAT algorithm, learns to control the bird to avoid pipes and achieve the highest score possible.

2. Bird Mechanics:

   • The bird can jump and fall, with its movement controlled by physics-based calculations. The bird’s image rotates as it moves, simulating the look of flying or diving.

3. Pipes and Obstacles:

   • Pipes appear at random heights and move horizontally across the screen. The bird must fly through the gaps between the pipes to stay alive.

4. Scrolling Background:

   • The ground scrolls continuously to give the illusion of forward movement. The game has a repeating background and base image.

5. AI Control with NEAT:

   • The NEAT algorithm evolves neural networks that control the bird's movement. Each bird’s neural network decides when to jump based on its environment.
   • The AI learns by trial and error, with successful birds (those that navigate the pipes well) having a higher chance of passing on their traits to the next generation.

6. Fitness and Scoring:

   • Birds earn points by passing through pipes, and their fitness score increases the longer they survive.
   • The fitness score is used to determine which birds' neural networks will be used to create the next generation.

7. Game Loop:

   • The game runs in continuous loops, where the AI-controlled birds try to survive as long as possible. If a bird crashes into a pipe or the ground, it’s removed from the game.

8. Evolution Process:

   • The game uses a configuration file to set up the NEAT algorithm. The AI birds improve over multiple generations by evolving better neural networks that can navigate the pipes more effectively.