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.
Authors
- S. Thirumurugan
- S. Thirumaran (ORCID: https://orcid.org/0000-0002-5771-5328)
- T Kamalam
- B. Sridevi (ORCID: https://orcid.org/0000-0003-3451-4440)
- Sai Vignesh S
- C Sivasubramani
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
- 0.00