MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641111506 A) filed by Deepa R; Md. Gauhar Hasnain; Mrs Surbhi Suman; Mrs. Pammi Kumari; Dr. S Nagakishore Bhavanam; and Dr S Mohan on September 17, 2026, for Generative Ai-Based Personalized Virtual Assistant For Automated Academic Learning And Student Performance Prediction.
Inventors include Deepa R; Md. Gauhar Hasnain; Mrs Surbhi Suman; Mrs. Pammi Kumari; Dr. S Nagakishore Bhavanam; and Dr S Mohan.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: The present invention relates to an artificial intelligence-based personalized academic learning system, and more particularly to a Generative AI-Based Personalized Virtual Assistant configured to automate learning support, generate individualized educational content, interact conversationally with students, and predict student academic performance. The proposed system comprises a student interaction interface, academic data acquisition module, learner profiling module, generative artificial intelligence engine, personalized content generation module, adaptive learning module, performance analytics module, prediction engine, recommendation module, and educator dashboard. The system collects and processes academic information including student interactions, assessment scores, attendance, learning activities, response patterns, assignment performance, and topic-wise learning progress. A learner profile is dynamically constructed to identify learning preferences, strengths, weaknesses, knowledge gaps, and progression patterns. The generative AI engine generates personalized explanations, summaries, examples, practice questions, quizzes, revision materials, and conversational responses according to the learner profile. A prediction engine analyzes temporal and academic features to estimate future performance and identify students requiring academic intervention. The recommendation module automatically provides targeted learning activities and adaptive study plans. The invention thereby provides continuous, personalized, data-driven academic assistance while enabling educators to monitor learning progress and initiate timely interventions
Disclaimer: Curated by HT Syndication.
