AI-based Automation for Smart Homes

Authors

  • PAVAN KUMAR RODDA Parul University image/svg+xml Author
  • Vivek Dave Author
  • Krishna Reddy Yaramala Author
  • Rishwanth Korlimalla Author
  • Vinay Kumar Mule Author

Keywords:

IoT, Artificial Intelligence of Things (AIoT), Wireless Sensor Networks (WSN), Machine Learning, Smart Lighting

Abstract

Smart home automation systems, enhanced through artificial intelligence (AI) and Internet of Things (IoT) technologies, are rapidly transforming traditional living spaces into intelligent, adaptive environments. This study examines the integration of machine learning algorithms, interconnected sensors, and predictive analytics to automate household appliance management, optimize energy consumption, and bolster security. The system utilizes real-time data analysis to adjust operations based on user behavior and ambient conditions, delivering greater energy efficiency, convenience, and safety. Experimental results demonstrate a reduction in manual intervention, significant energy savings, and improved responsiveness in appliance control. The research highlights the effectiveness of AI-powered automation in supporting sustainable, user-friendly homes and outlines future directions for deeper personalization, enhanced security, and scalable design in smart home ecosystems.

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Published

19-01-2026

Issue

Vol. 1 No. 2 (2025): Advances in Multidisciplinary Engineering

Section

Articles

License

Copyright (c) 2026 PAVAN KUMAR RODDA, Vivek Dave, Krishna Reddy Yaramala, Rishwanth Korlimalla, Vinay Kumar Mule (Author)

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How to Cite

AI-based Automation for Smart Homes. (2026). PUXplore Multidisciplinary Journal of Engineering, 1(2). https://puxplore.paruluniversity.ac.in/index.php/PXMJE/article/view/47

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