RoomIQ – Intelligent Room-Based Energy Control

• Tech Stack: Python, OpenCV, Raspberry Pi, Arduino, ESP/nRF24L01+, Firebase/GitHub Pages
• Access Request: Request Access via Email

RoomIQ is a decentralized, AI-driven classroom energy automation system that uses real-time people detection to intelligently control lights and fans. Designed for institutions, each room operates independently using a Raspberry Pi and camera, ensuring optimized energy usage without a central processor dependency.

The system wirelessly controls multiple switchboards through Arduino–Relay modules and adapts its behaviour based on occupancy, room zones, seasonal mode, and threshold timings. A cloud dashboard enables admins and faculty to remotely manage rooms, view logs, and update configurations.

• Real-Time People Detection – camera-based occupancy & zone detection
• Automated Controls – lights/fans turn ON/OFF based on smart timers
• Decentralized System – each room has its own Pi for processing & storage
• Wireless Switching – Arduino + Relay control for multiple boards
• Cloud Dashboard – thresholds, seasonal modes, room mapping, logs
• Role-Based Access – admin & faculty levels, secure and identity-based
• Fail-Safe Logic – auto resume after power failure with local backup

RoomIQ is a scalable and modular system, ideal for educational institutions seeking energy-efficient automation. Future enhancements include timetable integration, QR/NFC-based faculty entry, AC control, and a mobile app for real-time monitoring.