A Novel Approach in AI-powered IoT-Chatbot Integration: For Real-Time Monitoring and Control of Smart Environment

AI-IoT integration has made a lot of transformational advancements in the smart environment in order to monitor and control it in real-time. This paper introduces a new approach to integrating AI-powered chatbots into IoT systems for better operation efficiency and user interaction. This study looks into the technical and functional aspects of such integration, with applications targeted at smart homes, agriculture, and industrial automation. The chatbot will use NLP and machine learning algorithms to enable intuitive interactions between users and IoT devices for seamless data exchange and actionable insights. The research addresses the present limitations in latency, scalability, and interconnectivity and presents a framework that makes the system much more responsive. Experimental results demonstrate a remarkable improvement in operational efficiency and user satisfaction. This paper is one of the necessary steps to take full advantage of the functionalities of AI-powered IoT-chatbot systems in smart environments.

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Publication Details

Journal
International Journal of Computer Trends and Technology
Published
2024-12-30
DOI
https://doi.org/10.14445/22312803/ijctt-v72i12p123
Primary Topic
Advanced Technology in Applications
Type
article
Field-Weighted Citation Impact
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article

A Novel Approach in AI-powered IoT-Chatbot Integration: For Real-Time Monitoring and Control of Smart Environment

Siva Parise
International Journal of Computer Trends and Technology
Advanced Technology in Applications
article

A Novel Approach in AI-powered IoT-Chatbot Integration: For Real-Time Monitoring and Control of Smart Environment

Siva Parise
article en

Abstract

AI-IoT integration has made a lot of transformational advancements in the smart environment in order to monitor and control it in real-time. This paper introduces a new approach to integrating AI-powered chatbots into IoT systems for better operation efficiency and user interaction. This study looks into the technical and functional aspects of such integration, with applications targeted at smart homes, agriculture, and industrial automation. The chatbot will use NLP and machine learning algorithms to enable intuitive interactions between users and IoT devices for seamless data exchange and actionable insights. The research addresses the present limitations in latency, scalability, and interconnectivity and presents a framework that makes the system much more responsive. Experimental results demonstrate a remarkable improvement in operational efficiency and user satisfaction. This paper is one of the necessary steps to take full advantage of the functionalities of AI-powered IoT-chatbot systems in smart environments.

International Journal of Computer Trends and TechnologyVol. 72(12)
ipIQ (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 58%
Advanced Technology in Applications
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