NEXT-GENERATION SMART CLASSROOM USING AI AND IOT TECHNOLOGIES

Abstract

The Next-Generation Smart Classroom is an innovative educational environment that seamlessly integrates Artificial Intelligence (AI) and Internet of Things (IoT) technologies to automate and optimize the traditional learning space. This system leverages a Raspberry Pi microcomputer running Python-based software to coordinate multiple hardware components including IR sensors, a camera module, motor drivers, and LED indicators, enabling intelligent control of classroom resources such as lighting, fans, and entry systems. The proposed framework employs facial recognition algorithms for automated student attendance, real-time intrusion detection via IR sensors, and remote monitoring through IoT-enabled dashboards, thereby reducing manual administrative overhead and improving energy efficiency. The system transmits live data to cloud platforms allowing educators and administrators to remotely monitor classroom status, attendance logs, and environmental parameters from any internet-connected device. Experimental results demonstrate that the implemented solution achieves over 95% facial recognition accuracy, reduces energy consumption by approximately 30%, and significantly enhances classroom security and operational efficiency in educational institutions.