Energy-Efficient IoT and Cloud Framework for Accurate and Scalable Hotel Occupancy Monitoring

The main contributions of this paper are summarized as follows:
• Development of a low-cost IoT-based hotel room occupancy detection system using radar sensing for both static and dynamic presence.
• Cloud-based storage and visualization through Firebase and a Django dashboard, enabling real-time and historical monitoring.
• Energy-efficient and sustainable operation using deep sleep, Wi-Fi Manager, and OTA-enabled remote maintenance.
• Demonstration of scalability across domains beyond hospitality, including smart homes, healthcare, and intelligent building systems.