MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202631098397 A) filed by Dr. Santosh Kumar Nayak; Dr Rajesh R; Dr. Ramesh Bhavisetti; Sindhuja Ms; D. Praveena; M. Mahalingam; Dr. Gurvir Kaur; Dr. Jaspin K; Gajula Mahesh; Mythili M; A Muhammad Umar; and Anvesh Perada on August 14, 2026, for Machine Learning Framework For Predicting Teacher Stress Through Emotional Behavior Analytics In Academic Institutions.
Inventors include Dr. Santosh Kumar Nayak; Dr Rajesh R; Dr. Ramesh Bhavisetti; Sindhuja Ms; D. Praveena; M. Mahalingam; Dr. Gurvir Kaur; Dr. Jaspin K; Gajula Mahesh; Mythili M; A Muhammad Umar; and Anvesh Perada.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: The present invention discloses the development of an automated Machine Learning (ML) architecture for predicting and measuring stress among teachers using emotional behavioral analysis. Through analyzing multiple behavioral characteristics such as facial emotion, acoustic tone variations, sentiments derived from institution communication channels, and workflow engagement behavior, the proposed architecture is able to capture continuous psychological information. This is achieved through ensemble learning algorithms like Random Forests and Gradient Boosting in categorizing stress status into low, moderate, and high categories. This ML architecture offers a highly accurate prediction and interpretability of the significant behavioral stressors. Ultimately, this computational architecture allows educational institutions to move from reactive to proactive approaches toward well-being. FIG.1
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