Water Quality Prediction Using Machine Learning
Автор: Alajangi Keerthisree
Загружено: 2026-02-01
Просмотров: 1
Описание:
Sensor-Free Water Quality Monitoring Using Machine Learning
Access to safe drinking water is a global challenge linked to UN SDG-6. In this video, we present our research paper “Multi-Parameter Water Quality Monitoring Using Edge-Integrated Sensing Platforms”, accepted at ICAICCIT 2025.
Our work proposes a low-cost, sensor-free water quality monitoring framework using publicly available datasets and machine learning. We introduce a Pollution Severity Index (PSI) based on key parameters like pH, turbidity, chloramines, solids, and organic carbon. Multiple models were evaluated, and the GRU deep learning model achieved the best performance (~92% accuracy).
This solution is designed for rural, remote, and resource-limited regions, offering a scalable alternative to expensive IoT-based systems.
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