MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202641097249 A) filed by Anurag University on August 12, 2026, for A System And Method For Trait-Based Adaptive Cognitive Personalization And Multi-Modal Academic Content Transformation For Neurodivergent Learners.
Inventors include Dr. Udaya Kumar Addanki; Sriya Sushil; Gautham Chilamkurthi; Rohith Maheshwaram; Dr A Mallikarjuna Reddy; Dr. L. Sridhara Rao; Dr M Trupthi; Mrs. S. Anitha; Mr. K. Chandram; and Mr. G. Srikanth Reddy.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: ABSTRACT The present invention discloses a system for trait-based adaptive cognitive personalization and multi-modal academic content transformation for neurodivergent learners (100). The system comprises a User Interface Module (102), a Session Initialization and Authentication Module (104), a Behavioral Signal Processing Module (106), a Trait Modeling Engine (108), a Semantic Transformation Engine (110), a Multi-Modal Rendering Engine (112), a Task Decomposition Engine (114), an Adaptive Scheduling Engine (116), a Communication Structuring Engine (118), a Secure Storage Module (120), and a Model Monitoring and Recalibration Module (122). The system captures behavioral interaction signals to generate a cognitive trait profile, transforms academic content into personalized multi-modal learning resources, generates adaptive study schedules and communication templates, and continuously recalibrates personalization based on behavioral changes. The invention provides secure, privacy-preserving, and continuously adaptive educational assistance without requiring medical diagnosis or clinical classification. The figure associated with abstract is Fig. 1.
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