A Personalized Healthcare Model for Air Pollution Monitoring and Prediction Using Machine Learning

Gade Navaneeth, Medi Praneeth, Mohammed Khasim, Y. Mohana Roopa

2025

Abstract

Air pollution, as a major contributor to respiratory, cardiovascular, and other chronic diseases, is a significant environmental and public health problem. This paper developed a personalized healthcare model based on air quality prediction and individual health recommendations-finally trained on machine learning skills and based on time-series data. Unlike traditional air quality monitoring systems that measure particulate matter and other gases, our approach is based on a Linear Regression algorithm that predicts PM2 levels and other pollutants. 5 by merging web-scraped infectious disease information with meteorological data. The model operates as a web-based application that allows users to enter their location to receive personalized health precautions and real-time air quality forecasts. The guidelines, which address the estimated risk of air pollution, tell consumers how to act preventatively, and what they should do to protect themselves, like staying indoors or using air filtration devices, they added. By combining real-time forecasts with individual participation, the system enables proactive health management and increases public awareness. The proposed methodology reports on the use of AI-driven insights to facilitate an evidence-based and straightforward approach for mitigating the negative health effects of air pollution.

Paper Citation

in Harvard Style

Navaneeth G., Praneeth M., Khasim M. and Roopa Y. (2025). A Personalized Healthcare Model for Air Pollution Monitoring and Prediction Using Machine Learning. 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 575-579. DOI: 10.5220/0013935800004919

in Bibtex Style

@conference{icrdicct`2525,
author={Gade Navaneeth and Medi Praneeth and Mohammed Khasim and Y. Roopa},
title={A Personalized Healthcare Model for Air Pollution Monitoring and Prediction Using Machine Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={575-579},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013935800004919},
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 - A Personalized Healthcare Model for Air Pollution Monitoring and Prediction Using Machine Learning
SN - 978-989-758-777-1
AU - Navaneeth G.
AU - Praneeth M.
AU - Khasim M.
AU - Roopa Y.
PY - 2025
SP - 575
EP - 579
DO - 10.5220/0013935800004919
PB - SciTePress