Fire Evacuation Route System
TECH STACK
Python, pandas, NumPy, Matplotlib, Pygame (for visualization), PyCharm (development environment)
Description
This project focuses on developing a robust fire evacuation route system that combines reinforcement learning and heuristic search techniques. By integrating Q-learning for dynamic pathfinding and A* for static pathfinding, the system aims to provide adaptive and efficient evacuation routes in complex environments.
Key Features
- Built a fire evacuation route system integrating Q-learning for dynamic pathfinding and A* for static pathfinding.
- Achieved efficient and adaptive evacuation routes in complex environments.
- Implemented visualization of evacuation routes and insights.