This is a flappy bird game implemented using pygame in python. It offers three modes to users:-

1. Manual play mode.
2. AI learns to play the game and then plays it.
3. Play the game using previously trained AI.

1. Python
2. Pygame
3. NEAT (NeuroEvolution of Augumenting Topologies)

I am an AI/ML enthusiast and consistently work to improve my skills in this area. A few months back I came across a youtube video by "code bullet" in which he implemented the Flappy Bird game using AI. I wanted to do the same. After acquiring the necessary skill set, i did it!

Major challenege for me was implementing the flappy bird game from scratch. I was not quite familiar with the pygame module. Then there were some issues with the neat module like creating a decent fitness function and dealing with the input genomes. Took help from various articles and youtube channels and eventually came up with a slution to every problem and hence made a fully functional project.

The best way to learn programming concepts is by implementing them. I learned a lot about the pygame module through this project. I learnt to deal with various errors that arise while working with pygame. Apart from that I learnt about the working of the genetic algorithms and how they create an AI.

I will work on reducing the number of files used by grouping them in two major classes that will deal with Manual play and AI play. Moreover I would like to work on the UI of the game.

Watch this video to see the model being trained and then being implemented to play the game:- https://youtu.be/xxg-3QwgJwA