MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611113304 A) filed by Ajay Kumar Garg Engineering College on September 22, 2026, for Ai-Based Adaptive Learning System And Method For Document-Centric Personalized Academic Support.
Inventors include Devendra Pratap Singh; Aditya Dwivedi; Himanshi Tomar; Aditya Verma; and Dr. Rupa Rani.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: An AI-based adaptive learning system (100) and method for document-centric personalized academic support are disclosed. A client presentation layer (102) receives a learner's uploaded academic document(s) and queries, quizzes or voice input. A content ingestion and extraction module (106) and topic identification module (108) extract and segment subject-wise content, which a prompt constructor / content-locking engine (110) uses to restrict a generative AI engine interface (140) to the uploaded material alone. An adaptive topic mastery estimator (112) computes a real-time, multi-factor, per-topic mastery score from interaction data, driving a confusion detection engine (114), a memory heatmap generator (116), an AI-teacher Socratic module (118) and a quiz/study-path generator (120), all operating on a common mastery data structure persisted in a data layer (150). The synergistic, closed-loop integration proactively identifies learning gaps and delivers curriculum- bound, personalized tutoring, assessment and revision without requiring pre-existing institutional course structuring. (Fig. 1)
Disclaimer: Curated by HT Syndication.
