This project is a Pong simulation with AI. It uses neural networks to train Pong players through evolutionary algorithms, showcasing the power of machine learning in games.

The project uses neural networks to train AI players for Pong. The training process employs evolutionary algorithms, where the best-performing players are selected and mutated to create the next generation. The simulation is visualized using p5.js.

I learned about neural networks and evolutionary algorithms, as well as how to apply them to train AI in games. This project also enhanced my understanding of machine learning concepts and their practical applications.