MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611113820 A) filed by Ajay Kumar Garg Engineering College on September 23, 2026, for Iot-Based System And Method For Machine Learning Assisted Real-Time Water Quality Monitoring And Analysis.
Inventors include Vindhya Kapoor; Saksham Bhardwaj; Mridul Gupta; and Aman Gupta.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: An IoT-based system (100) and method for machine-learning assisted real-time water quality monitoring and analysis are disclosed. A multi-sensor probe assembly (104) comprising pH (106), TDS (108), turbidity (110), temperature (112) and electrical conductivity (114) sensors acquires multi-parameter water data, which is digitised and transmitted by an IoT edge controller (118) via a wireless network (120, 122) to a backend server (124). A feature preparation module (128) supplies a common feature representation to a machine learning engine (130) that concurrently performs three-level classification (132), predictive trend forecasting (134), anomaly detection (136) and water quality index computation (138). A SHAP-based explainability module (140) attributes per-parameter contributions, enabling a recommendation module (142) and a real-time alert module (144) to generate actionable, explainable decision-support output, rendered via an interactive dashboard (148) that supports historical trend analysis and multi-sample comparison, with a scalable interface (152) for future sensors. Referring to
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