Intellectual Property India Publishes Patent Application for Artificial Intelligence-Based Personalized Learning And Academic Performance Prediction System For Higher Education Institutions

MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202611090689 A) filed by Dr. Sunil Kumar Jain; Dr Rohit Kumar; Dr. Namrta Jain; Dr Arvind Kumar Arya; Dr Vineeta Jain; Dr. Shivani Gurjar; Dr Aruna Singh; Dr. Ratnesh Kumar Jain; and Ramsevak Chandraker on July 25, 2026, for Artificial Intelligence-Based Personalized Learning And Academic Performance Prediction System For Higher Education Institutions.

Inventors include Dr. Sunil Kumar Jain; Dr Rohit Kumar; Dr. Namrta Jain; Dr Arvind Kumar Arya; Dr Vineeta Jain; Dr. Shivani Gurjar; Dr Aruna Singh; Dr. Ratnesh Kumar Jain; and Ramsevak Chandraker.

The application for the patent was published on September 18, 2026, under issue no. 38/2026.

Abstract: The present invention discloses an artificial intelligence-based personalized learning and academic performance prediction system for higher education institutions implemented as an integrated hardware-based electronic apparatus. The system comprises a learning data acquisition unit configured to collect educational information from attendance devices, classroom terminals, assessment devices, laboratory workstations, library systems, digital learning platforms, assignment submission terminals, and institutional repositories. A processing unit synchronizes, validates, and analyzes the collected information to generate individual learning profiles, while a memory unit stores historical academic records and course-related information. An academic prediction unit determines academic progression, competency, engagement, examination readiness, attendance effectiveness, and academic risk indicators. A personalized learning generation unit creates adaptive study schedules, revision plans, resource recommendations, and competency improvement activities. A recommendation presentation unit communicates learning recommendations and academic predictions to students and instructors, while a faculty interaction unit incorporates instructional feedback. A communication unit and system management unit ensure secure operation, reliable synchronization, and continuous educational performance monitoring.

Disclaimer: Curated by HT Syndication.