I built a Streamlit-based chess training application that combines opening practice, interactive gameplay, and Stockfish analysis into one tool.

The app lets users choose from common chess openings like the Italian Game, Queen’s Gambit, and Sicilian Defense, then step through them move by move to understand how each position develops. The board state is managed in real time using python chess, with full support for undoing moves, resetting the position, and tracking move history.

I also added a “play your move” mode where the user can select a legal move from the current position. After the user plays, Stockfish automatically responds with a best move based on a time limited engine search, creating a simple human vs AI experience.

On top of gameplay, I integrated a Stockfish analysis system that evaluates the current position and suggests the best move using adjustable engine strength levels. This is visualized directly on the board using arrows to show recommended moves.

The UI is fully built in Streamlit, with dynamic updates for every action, including opening progression, analysis, and gameplay changes. The goal of the project is not just to play chess, but to help users understand why moves are played and how openings transition into real strategic positions.

There is a option to integrate Stockfish into a Chess.com style experience…