Design and Development of Healthcare IoT Based Bots Using Different LLM Models: A Best Method Performance Evaluation

M. Dharani, Udhaya Kumar M., Latha B., Tanusree S. R., Sivashanmugha V., Vijay M.

2025

Abstract

The aim of the study is to enhance the AI assistant with integration into IoT devices for processing data in real time and better medical responses, with strengthened security protocols and privacy protocols to provide protection for health-sensitive data. We created an AI chatbot based on LLMs to process questions and give medical responses, coupled with IoT devices for collecting data in real time. Group 1: Accuracy, real-time data management, personalization, and security limitations of traditional AI chatbots based on LLMs were evaluated. Group 2: A combined and optimized AI chatbot and IoT devices to collect real-time data with 99.8% accuracy encryption. Result: User interaction was increased with the use of the chatbot, where 85% of the subjects found the chat responses to be accurate and useful (95% rate of accuracy). IoT integration individualized responses, achieving user satisfaction range 7.5-9.2 (average: 8.4) and with correlation coefficient value 0.78 between accuracy of IoT data and satisfaction. The study demonstrates the potential of the integration of IoT and LLMs towards secure, individualized eHealth. Future studies can focus on enhancing real-time processing and expanding Healthcare Applications.

Paper Citation

in Harvard Style

Dharani M., M. U., B. L., R. T., V. S. and M. V. (2025). Design and Development of Healthcare IoT Based Bots Using Different LLM Models: A Best Method Performance Evaluation. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 40-47. DOI: 10.5220/0013907800004919

in Bibtex Style

@conference{icrdicct`2525,
author={M. Dharani and Udhaya M. and Latha B. and Tanusree R. and Sivashanmugha V. and Vijay M.},
title={Design and Development of Healthcare IoT Based Bots Using Different LLM Models: A Best Method Performance Evaluation},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={40-47},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013907800004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Design and Development of Healthcare IoT Based Bots Using Different LLM Models: A Best Method Performance Evaluation
SN - 978-989-758-777-1
AU - Dharani M.
AU - M. U.
AU - B. L.
AU - R. T.
AU - V. S.
AU - M. V.
PY - 2025
SP - 40
EP - 47
DO - 10.5220/0013907800004919
PB - SciTePress