HydroML: AI-Driven Smart Water Management using Hybrid Deep HydroNet (HDH-Net) for Real-Time Monitoring, Anomaly Detection, and Automated Distribution

HydroML is a deep learning-based smart water management system that automates rural water distribution and monitors water quality parameters using IoT and a Hybrid Deep HydroNet AI model. The system detects anomalies such as tank leakage and water contamination. All data are transmitted through AWS Cloud and can be remotely monitored using a cloud-based dashboard. The AI model continuously monitors the IoT sensor data, which are used to predict seasonal reports on water usage and quality. It performs classification for leakage detection and water quality.

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Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/icpcsn65854.2025.11035397
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
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HydroML: AI-Driven Smart Water Management using Hybrid Deep HydroNet (HDH-Net) for Real-Time Monitoring, Anomaly Detection, and Automated Distribution

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Water Quality Monitoring Technologies
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HydroML: AI-Driven Smart Water Management using Hybrid Deep HydroNet (HDH-Net) for Real-Time Monitoring, Anomaly Detection, and Automated Distribution

S. Thirumurugan, S. Thirumaran, T Kamalam, B. Sridevi, Sai Vignesh S, C Sivasubramani
article en

Abstract

HydroML is a deep learning-based smart water management system that automates rural water distribution and monitors water quality parameters using IoT and a Hybrid Deep HydroNet AI model. The system detects anomalies such as tank leakage and water contamination. All data are transmitted through AWS Cloud and can be remotely monitored using a cloud-based dashboard. The AI model continuously monitors the IoT sensor data, which are used to predict seasonal reports on water usage and quality. It performs classification for leakage detection and water quality.

Clean water and sanitation
Openalex Percentile: Top 86%
Water Quality Monitoring Technologies
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