Build your own competitive chess engine in 8 weeks! This project combines classical AI (like Minimax and Alpha-Beta Pruning) with Reinforcement Learning to create a fully functional engine you can play against.

🎯 Final showdown: Engine-vs-Engine tournament with a prize for the winner!

• Board representation & move generation
• Minimax, Alpha-Beta pruning, heuristics
• Zobrist hashing & transposition tables
• Efficiently Updatable Neural Network (NNUE)
• RL (Q-learning, self-play, policy tuning)

Expect ~5 hours/week. It’s a bit hectic but super rewarding!