MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202621076443 A) filed by Anuja Rajesh Jadhav on June 20, 2026, for A System And Method For Human Behavioural Drift Detection Using Baseline Behaviour Profiling, Multi-Signal Deviation Scoring, Disengagement Risk Prediction, Explainable Reason Codes, And Preventive Intervention Recommendation.
Inventors include Gaurav; and Dr. Asmita Rajendra Jagtap.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The invention relates to an AI-based human behavioural drift detection system configured to identify early behavioural deviation, disengagement risk, and intervention priority before visible academic, workplace, institutional, or service-performance failure occurs. The system receives behavioural data including baseline attendance, current attendance, engagement indicators, performance indicators, sentiment signals, grievance or complaint records, missed commitments, peer interaction data, routine volatility, response latency, and prior intervention history. A dynamic data ingestion and column-mapping layer standardizes incoming datasets having different field names. A baseline behaviour profiling layer compares historical behavioural patterns with current behavioural signals. A multi-signal deviation scoring engine computes behavioural drift scores, disengagement probabilities, risk bands, explainable reason codes, drift patterns, preventive recommendations, intervention priority, and monitoring cadence. The invention enables institutions to identify students, employees, citizens, beneficiaries, or other human entities showing early behavioural deterioration and to initiate timely preventive intervention.
Disclaimer: Curated by HT Syndication.
