i-manager Publications

Future-Driven Approaches to Municipal Water Quality: Leveraging IoT, AI, and Advanced Purification Technologies for Sustainable Public Health

Ushaa Eswaran*, Ramalakshmi**, Anandha Kiruthika J.***, Umasakthisri S.****, Keerthika M.*****, Pavani P. D.******, Vinothini. N*******

*, **** Department of Electronics and Communication Engineering, Mahalakshmi Tech Campus, Chennai, Tamil Nadu, India.

** Mahalakshmi Tech Campus, Chennai, Tamil Nadu, India.

***, *****, ******* Department of Computer Science and Engineering, Mahalakshmi Tech Campus, Chennai, Tamil Nadu, India.

****** Department of Artificial Intelligence and Data Science Engineering, Mahalakshmi Tech Campus, Chennai, Tamil Nadu, India.

Periodicity:January - March'2025
DOI : https://doi.org/10.26634/jfet.20.2.21600

Abstract

The future of municipal water quality management lies in the integration of cutting-edge technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and advanced water purification systems. These technologies have the potential to revolutionize the way water is monitored, treated, and distributed, ensuring its safety, accessibility, and sustainability. This paper explores the futuristic approaches to municipal water quality by discussing the current state of water quality management, emerging technologies, and their synergistic impact on public health. The focus is on the implementation of IoT and AI in real-time water quality monitoring, predictive analytics, and automated decision- making processes. Advanced water purification technologies, such as membrane filtration, UV treatment, and innovative AI-based systems, are also examined for their potential to improve the quality of municipal water and protect public health. Through a series of experiments, mathematical formulations, and case studies, the paper evaluates the effectiveness of these technologies in addressing the challenges of urban water pollution and ensuring safe, clean water for future generations.

Keywords

IoT, Artificial Intelligence, Advanced Purification, Water Treatment, Public Health, Sustainability.

How to Cite this Article?

Eswaran, U., Ramalakshmi, Kiruthika, J. A., Umasakthisri, S., Keerthika, M., Pavani, P. D., and Vinothini, N. (2025). Future-Driven Approaches to Municipal Water Quality: Leveraging IoT, AI, and Advanced Purification Technologies for Sustainable Public Health. i-manager’s Journal on Future Engineering & Technology, 20(2), 44-59. https://doi.org/10.26634/jfet.20.2.21600

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