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.

SoccerAgent is a specialized AI framework designed for developing and training autonomous soccer agents using state-of-the-art multi-agent reinforcement learning (MARL) techniques. It simulates realistic soccer matches in 2D or 3D environments, offering tools to define reward functions, customize player attributes, and implement tactical strategies. Users can integrate popular RL algorithms (such as PPO, DDPG, and MADDPG) via built-in modules, monitor training progress through dashboards, and visualize agent behaviors in real time. The framework supports scenario-based training for offense, defense, and coordination protocols. With an extensible codebase and detailed documentation, SoccerAgent empowers researchers and developers to analyze team dynamics and refine AI-driven gameplay strategies for academic and commercial projects.