Multi-Agent Fire Rescue Simulation

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Overview

Developed a multi-agent system using Python and Mesa, achieving a 27% win rate across 100+ simulations. Implemented autonomous agents with dynamic role assignment and Dijkstra-based pathfinding. Built real-time visualization using Flask and WebSockets.

Highlights

• ✦27% win rate across 100+ simulations
• ✦Dynamic role assignment for autonomous rescue agents
• ✦Dijkstra-based pathfinding for optimal routing
• ✦Real-time visualization via Flask and WebSockets

Technologies & Skills