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Developed AI-driven agents for real-time coordination in an industrial simulation
An advanced multi-agent system designed for real-time coordination and control in complex industrial simulations. This project leverages AI and computer vision to enable multiple autonomous agents to work together efficiently, making dynamic decisions based on real-time data. The system includes sophisticated coordination algorithms, conflict resolution mechanisms, and adaptive learning capabilities. It demonstrates practical applications in industrial automation, robotics coordination, and intelligent manufacturing systems. The real-time processing capabilities ensure minimal latency in agent responses and decisions.