Azul Game AI Agent is a specialized AI solution for the Azul board game competition. Implemented in Python, it models game state, applies Minimax search for deterministic pruning, and leverages Monte Carlo Tree Search to explore stochastic outcomes. The agent uses custom heuristics to evaluate board positions, prioritizing tile placement patterns that yield high points. It supports head-to-head tournament mode, batch simulations, and result logging for performance analysis. Users can tweak algorithm parameters, integrate with custom game environments, and visualize decision trees to understand move selection.

Block Blast Solver is a sophisticated AI-powered tool that offers immediate, optimal solutions for the Block Blast game. With advanced neural network-based recognition, dynamic chain reaction analysis, and predictive scoring systems, it identifies the best moves for any game state. Players simply upload a screenshot of their game board, and the solver analyzes it within seconds to provide precise steps to enhance their performance, making gaming more enjoyable and less frustrating.