Chess Opening Decider is a Streamlit web application that helps chess players discover openings that match their skill level, playing style, and goals. Users answer a series of questions about how they like to play, whether they prefer White or Black, how aggressive they are, and what type of positions they enjoy. Sort of like a mini quiz. The application then analyzes their responses and recommends openings that best fit their preferences.

The project includes a database of popular chess openings with detailed explanations, strengths, weaknesses, and example opening moves. Users can view recommended openings, learn why they were selected, and receive personalized advice based on their current skill level. The goal of the project is to make learning chess openings more accessible and less confusing by providing straightforward recommendations instead of requiring players to search through large amounts of opening theory. OPENING THEORY SUCKS and isn’t fun to use; this project will help eliminate that barrier.

Current features include an opening recommendation engine, aggressiveness based analysis, opening explanations, move suggestions, player profile analysis, and skill-based improvement advice. Future updates may include interactive chessboards, opening statistics, Stockfish integration, user profiles, and additional AI-powered recommendations.

PS: ChatGPT was used to troubleshoot and debug. Minimal AI assistance was used so far…