AI Police Dog Security Simulation Earns a 23.64 Proof of Usefulness Score by Building an Autonomous Security Simulation for Industrial Zones

This interview explores an AI-powered security dog simulation built using Python and Finite State Machine logic to model autonomous patrol, pursuit, and fail-safe behaviors in industrial environments. While currently a functional prototype, the system demonstrates key concepts like energy-aware decision-making and autonomous recovery protocols. The project aims to evolve toward real-world deployment by integrating obstacle navigation, hardware sensors, and modular open-source frameworks for broader adoption.