MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202641116107 A) filed by Dadamiah Pmd Shaik; Dr. Asadi Srinivasulu; Mr. Sambasiva Rao Suda; Mr. Sreekanth Tarigonda; Mrs. Renu Kulshrestha; Mr. Sambasiva Rao Kadiyam; Mrs. Tejaswi Ravavarapu; Dr. Pradeep G; Dr. Tarkeshwar Barua; and G. Nagarjuna on September 28, 2026, for Unified Cross-Modal Neuro-Symbolic Generative Framework For Real-Time Personalized Adaptive Multimodal Intelligent Tutoring Systems.
Inventors include Dadamiah Pmd Shaik; Dr. Asadi Srinivasulu; Mr. Sambasiva Rao Suda; Mr. Sreekanth Tarigonda; Mrs. Renu Kulshrestha; Mr. Sambasiva Rao Kadiyam; Mrs. Tejaswi Ravavarapu; Dr. Pradeep G; Dr. Tarkeshwar Barua; and G. Nagarjuna.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: The present invention discloses a unified cross-modal neuro-symbolic framework for real-time personalized tutoring using multimodal data integration. The system (100) comprises modules including data acquisition (110), preprocessing (120), feature analysis (130), concept gap diagnosis (140), cognitive load estimation (150), adaptive learning (160), reinforcement learning (170), knowledge graph reasoning (180), and closed-loop feedback (190). The framework integrates academic and behavioral data to generate a comprehensive learner profile. It identifies learning gaps, estimates cognitive load, and dynamically adapts instructional strategies using reinforcement learning. The closed-loop feedback mechanism continuously updates system parameters to improve performance. The invention achieves high accuracy, scalability, and real-time responsiveness, providing an effective solution for personalized education and intelligent tutoring systems.
Disclaimer: Curated by HT Syndication.
