MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641069005 A) filed by Sangeeta Yadav; L Uma Maheshwari; Dr. Shivendu Kumar Rai; Dr. Kumari Pallavi; Dr. Kalpesh Rasiklal Rakholia; Dr. Rekha Tiwary; Dr. Ramchand Vedaiyan; Dayananda Sagar Academy Of Technology And Management; Pavithra S; Anvesh Perada; Amar Pal Yadav; and S Nagoorkani on June 02, 2026, for Artificial Intelligence-Based Faculty Welfare And Institutional Equity Recommendation Platform For Higher Education.
Inventors include Sangeeta Yadav; L Uma Maheshwari; Dr. Shivendu Kumar Rai; Dr. Kumari Pallavi; Dr. Kalpesh Rasiklal Rakholia; Dr. Rekha Tiwary; Dr. Ramchand Vedaiyan; Pavithra S; Anvesh Perada; Amar Pal Yadav; and S Nagoorkani.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: Artificial Intelligence-Based Faculty Welfare and Institutional Equity Recommendation Platform for Higher Education is the proposed invention. The proposed invention integrates institutional data related to faculty workload, research activities, teaching performance, professional development, compensation patterns, leave records, and promotion history into a centralized analytical framework. Using Random Forest-based predictive modeling, the platform analyzes multidimensional datasets to identify welfare-related concerns, workload imbalances, and institutional inequities across departments and academic units. The proposed platform includes an intelligent recommendation engine capable of generating personalized welfare suggestions for faculty members and policy-level recommendations for institutional administrators. The system predicts faculty stress levels, engagement patterns, and resource allocation disparities while supporting proactive interventions to improve faculty satisfaction and institutional effectiveness. An interactive analytical dashboard provides real-time visualization of equity indicators, departmental comparisons, and predictive insights to support transparent governance and evidence-based planning.
Disclaimer: Curated by HT Syndication.
