MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611057170 A) filed by Manav Rachna University; Dr. Yogita Sharma; Dr. Gunjan Chandwani; Dr. Rimple Manchanda; Dr. Mona Sharma; and Dr. Sunil K Roy on May 05, 2026, for Artificial Intelligence-Based System For Student Mental Well-Being Detection Using Behavioral Indicators.
Inventors include Dr. Yogita Sharma; Dr. Gunjan Chandwani; Dr. Rimple Manchanda; Dr. Mona Sharma; and Dr. Sunil K Roy.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: This invention describes an artificial intelligence-based system and method for detecting student mental well-being through institutional behavioral indicators. The system integrates multi-source academic and engagement data including attendance, assignment submissions, learning management interactions, and campus participation. A preprocessing engine standardizes and anonymizes the data to generate structured behavioral features representing academic responsiveness and engagement variation. A machine learning module evaluates these features to compute a mental well-being risk index. A classification layer categorizes students into predefined well-being states based on threshold analysis and behavioral deviations. A secure notification module transmits alerts to authorized institutional stakeholders while preserving privacy and access control. The system enables early, non- invasive, and data-driven detection of mental distress in educational environments and supports proactive institutional intervention across schools, colleges, and digital learning ecosystems.
Disclaimer: Curated by HT Syndication.
