MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641121081 A) filed by Rajalakshmi Engineering College on October 09, 2026, for Ai-Driven Wearable-Integrated Framework For Continuous Psychological Stress Prediction.
Inventors include Dr. M. Thangamani; Dr. A. Rajkumar; and S. Umamaheswararao.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: This patent describes an integrated apparatus and method for predicting water contamination before people are exposed to it. The apparatus has four main parts: a network of portable water quality sensing units (100) with electrochemical and optical sensors for pH, TDS, fluoride, nitrate, heavy metals, bacterial presence, turbidity, and dissolved oxygen; a cloud-based predictive engine (200) that uses an ensemble of XGBoost gradient-boosted trees (231) and LSTM recurrent neural networks (232) trained on correlated historical water quality and environmental data to forecast contamination events before they happen; a trust scoring framework (300) that assigns each reading a composite trust score T_composite = T_cal x T_cv x U_reliability based on calibration freshness (exponential decay function), spatial cross-validation against nearby sensors (Lorentzian weighting function), and user reliability history, then uses these scores to weight readings in contamination probability calculations; and a community alerting system (400) that sends severity-graded warnings through geofenced push notifications to people near at-risk water sources, along with contaminant-specific treatment instructions with dosages and contact times.
Disclaimer: Curated by HT Syndication.
