Breath of the Future: Predicting Air Quality Index with ML and IoT

Sneha Varur, Uma M Hiremath, Devaraj Hireraddi, Nitin Nagaral, Kushalagouda Patil, Gouri Vernekar

2025

Abstract

Air pollution continues to pose substantial threats to both public health and environmental stability, emphasizing the critical need for sophisticated monitoring and predictive solutions. The study offers a visionary strategy for forecasting the Air Quality Index (AQI) by integrating Machine Learning (ML) with the Internet of Things (IoT). The proposed system utilizes an array of environmental sensors to gather real-time data, which is subsequently processed by advanced machine learning algorithms, with a specific emphasis on artificial neural networks (ANN), to generate accurate AQI predictions. The IoT architecture facilitates seamless, real-time data acquisition, enhancing both the accuracy and responsiveness of the system. This paper delves into the technical aspects of the system, including the detailed methodology, hardware configuration, and software integration, to illustrate the synergistic potential of ML and IoT in air quality forecasting. The results indicate strong model efficacy, with a root mean square error (RMSE) of 82.84% and a classification accurateness of 94.54%, underscoring the system’s capability in effectively monitoring and predicting air pollution levels. The research offers significant advancements in the field of environmental monitoring, demonstrating how the convergence of ML and IoT can play a pivotal role in the future of air quality management and public health protection.

Paper Citation

in Harvard Style

Varur S., Hiremath U., Hireraddi D., Nagaral N., Patil K. and Vernekar G. (2025). Breath of the Future: Predicting Air Quality Index with ML and IoT. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 722-728. DOI: 10.5220/0013584300004664

in Bibtex Style

@conference{incoft25,
author={Sneha Varur and Uma M Hiremath and Devaraj Hireraddi and Nitin Nagaral and Kushalagouda Patil and Gouri Vernekar},
title={Breath of the Future: Predicting Air Quality Index with ML and IoT},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={722-728},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013584300004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Breath of the Future: Predicting Air Quality Index with ML and IoT
SN - 978-989-758-763-4
AU - Varur S.
AU - Hiremath U.
AU - Hireraddi D.
AU - Nagaral N.
AU - Patil K.
AU - Vernekar G.
PY - 2025
SP - 722
EP - 728
DO - 10.5220/0013584300004664
PB - SciTePress