Edbert Taidy

RoboRally is an AI-powered educational game that makes learning pathfinding algorithms interactive through robot maze challenges. Many students struggle to understand Data Structures and Algorithms (DSA) through abstract theory alone. RoboRally addresses this by letting players explore mazes and visualize how algorithms such as Breadth-First Search (BFS), Dijkstra's algorithm, and A* search find paths to a goal. Powered by Meta's Muse Spark 1.3, RoboRally also explores how natural-language objectives can be translated into structured action plans. A deterministic game engine validates and executes these actions within the game's rules, connecting AI-generated plans with observable outcomes. By combining interactive gameplay, algorithm visualization, and AI-driven planning, RoboRally aims to make complex computer science concepts more accessible, engaging, and easier to understand.