MRI
MRI India Journals Vol. 14 No. 1 (2025)

AI and IoT Integration Smart Automation and Decision-Making in IoT Systems

Authors

  • Aryan Bhoyar MCA Department Suryodaya College of Engineering & Technology, Nagpur.
  • Ayush Hingnekar MCA Department Suryodaya College of Engineering & Technology, Nagpur.
  • Vaibhav Borkar  MCA Department Suryodaya College of Engineering & Technology, Nagpur.
  • Abhishek Rajurkar MCA Department Suryodaya College of Engineering & Technology, Nagpur.
  • Sakshi Wankhede MCA Department Suryodaya College of Engineering & Technology, Nagpur

DOI:

https://doi.org/10.65521/ijacect.v14i1.465

Keywords:

Artificial Intelligence (AI) Internet of Things (IoT) AI-IoT Integration Machine Learning

Abstract

The combination of Artificial Intelligence (AI) and the Internet of Things (IoT) is changing the automation and control center of most IoT applications. This research addresses the potential that can be harnessed from AI data processing IoT systems by using analytical AI to make the systems intelligent and responsive. We study the automation of various IoT functions including predictive maintenance, anomaly detection, and user personalization and control in the context of AI’s machine learning and deep learning algorithms. In the rest of the abstract, we offer our understanding of the integration challenges, including but not limited to, data cleaning, security, privacy, and the greater need for advanced, reliable, and scalable AI infrastructure. Ultimately, we discuss diverse applications and emerging topics of interest concerning AI-IoT integration, for smart homes, automation industries, and healthcare.

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Published

2025-05-29

How to Cite

Bhoyar , A., Hingnekar , A., Borkar ,V., Rajurkar , A., & Wankhede , S. (2025). AI and IoT Integration Smart Automation and Decision-Making in IoT Systems. International Journal on Advanced Computer Engineering and Communication Technology, 14(1), 323–327. https://doi.org/10.65521/ijacect.v14i1.465

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