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An advanced desktop-based smoke detection system using computer vision and a modern PyQt6 GUI. Designed with scalable architecture, real-time monitoring, and production-ready modular structure. Suitable for smart buildings, warehouses, offices, and IoT integration projects.
Cloud-powered smart campus digital twin platform for real-time occupancy monitoring, building utilization analytics, AI-driven insights, and WebSocket-based live updates.