AI-INTEGRATED IOT FRAMEWORK FOR INTELLIGENT SMART HOME AUTOMATION, SECURITY, AND ENERGY MANAGEMENT
TL;DR
An AI-Integrated IoT Smart Home Framework that combines intelligent sensors, edge computing, cloud analytics, and machine learning algorithms to create a self-learning residential environment that contributes toward the realization of sustainable, secure, and intelligent smart living environments is proposed.
Abstract
The rapid advancement of Artificial Intelligence (AI) and the Internet of Things (IoT) has revolutionized the concept of smart homes by enabling intelligent automation, enhanced security, and efficient energy management. Traditional home automation systems primarily focus on remote control functionalities and lack adaptive decision-making capabilities. This paper proposes an AI-Integrated IoT Smart Home Framework that combines intelligent sensors, edge computing, cloud analytics, and machine learning algorithms to create a self-learning residential environment. The proposed system continuously monitors environmental conditions, occupant behavior, energy consumption patterns, and security parameters through interconnected smart devices. Artificial intelligence techniques analyze real-time and historical data to predict user preferences, optimize appliance operations, detect anomalies, and improve resource utilization. The framework incorporates voice-controlled virtual assistants, facial recognition-based access control, and predictive energy management mechanisms. Experimental analysis demonstrates significant improvements in energy efficiency, user comfort, security monitoring, and operational intelligence compared to conventional home automation systems. The proposed architecture contributes toward the realization of sustainable, secure, and intelligent smart living environments.