Title: GreenEye: AI Smart Monitoring for Electricity Waste


Authors: Paras Bhanopiya, Tarun Malve, Vedant Godhwani, Satyam Goswami


Published in: Volume 3 Issue 1 Jan June 2026, Page No. 100-104


DOI: 10.63844/IJAITR.v3.i1.2026.100-104 cite


Keywords: Smart Energy Monitoring, AI, IoT, Energy Efficiency, Occupancy Detection, Adaptive Control, Sustainability, Aatmanirbhar Bharat


Abstract: Energy wastage in institutions like colleges, hostels, and offices accounts for significant unnecessary electricity consumption due to appliances left on in unoccupied rooms. Manual monitoring is labor-intensive and ineffective at scale, while existing automated systems often rely on motion detection alone, leading to false triggers and limited control accuracy.GreenEye is an AI-powered, IoT-based smart energy monitoring system that uses combined PIR motion and current sensors to detect occupancy and appliance usage precisely. The system employs ESP32 microcontrollers for local appliance control and a cloud dashboard for real-time monitoring and alerts. An adaptive AI model learns usage patterns to optimize control parameters dynamically, improving energy savings without compromising comfort.Prototypes demonstrate a 30–40% reduction in electricity wastage with over 95% detection accuracy. GreenEye is scalable, cost-effective, and aligns with sustainability goals and India’s Aatmanirbhar Bharat mission, offering a smart solution for institutional energy efficiency.


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