This project seeks to improve venue evacuation techniques through the development of a real-time public guidance tool. Researchers intend to train a Graph Neural Network and Reinforcement Learning-Based AI model to compute optimal evacuation strategies in real-time for indoor environments. This dynamic, data-driven approach is intended to enhance public safety and first responder coordination during active-shooter crises, providing valuable guidance in movement in visibility-constrained settings.