MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641127092 A) filed by K. Mahesh Raj; Dr. Divya; Dr Ritu Sharma; Prof Dr P Ravichandran; Dr. Ujjval Chandra Das; Dr. Priyanka Kumari; and Dr. Sumit Kushwaha on October 26, 2026, for Ai-Powered Personalized Teaching And Learning Framework For Higher Education Institutions.
Inventors include K. Mahesh Raj; Dr. Divya; Dr Ritu Sharma; Prof Dr P Ravichandran; Dr. Ujjval Chandra Das; Dr. Priyanka Kumari; and Dr. Sumit Kushwaha.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: The present invention provides an AI-driven framework and system designed for personalized teaching and learning within higher education institutions. The system includes a data resources module alongside a data extraction unit that is set up to retrieve and extract raw educational data from various institutional repositories. A dual-path processing unit processes the extracted information by employing a text parsing module, which segments file-based content into standardized 800-character sections, while a direct structuring module handles JSON-formatted data without the need for parsing. The processed segments and structured information are converted into high-dimensional vector representations through an encoding unit, which then creates a unified and searchable knowledge base aimed at enhancing personalized educational delivery and analytics. FIG.1
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