MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202621042854 A) filed by Lnct University, Bhopal, Madhya Pradesh, on April 3, for 'an ai-based system for teacher sustainability through workload balancing, skill mapping, and burnout prediction.'
Inventor(s) include Jency Cherian; and Dr Sandeep Shivhare.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "An AI-Based System for Teacher Sustainability Through Workload Balancing, Skill Mapping, and Burnout Prediction The present disclosure relates to a system and method for managing teacher sustainability via adaptive workload balancing, multi-layer skill mapping, and sensor-based burnout prediction. The system has a data acquisition module that gathers physiological, behavioral, and institutional workload data. It also has a processor that works with a memory to run several functional modules. The processor is set up to do signal processing and normalization, calculate physio-cognitive load indices, make dynamic skill mapping representations, and optimize and redistribute workloads while keeping in mind the constraints. The system also has a burnout prediction engine that uses temporal data analysis to make predictive fatigue risk scores, and a digital twin simulation module that checks workload redistribution strategies before they are put into action. An intervention module carries out automated corrective actions, such as changing tasks and adjusting schedules. The current disclosure offers a real-time, sensor-based, and processor-driven solution that makes educational settings more efficient, less tiring, and more sustainable for the workforce."
Disclaimer: Curated by HT Syndication.
