MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611069973 A) filed by Manipal University Jaipur on June 04, 2026, for Ai-Based Hierarchical Fidelity And Learning-Objective-Conditioned Multimodal Knowledge Conversion System Of Personalized Pedagogical Applications.
Inventors include Aayushi Chakraborty; Anika Sharma; and Dr. Pooja Gupta.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention relates to a multimodal recursive analysis system for generating structured educational content from source documents. The system comprises a structural parsing module, a structural twin generation module, a learning-conditioned synthesis module, a multimodal asset generation module, a node-linking module, and an output generation module. The structural parsing module generates structural metadata representing the hierarchical organization of a source document. The structural twin generation module creates a hierarchical navigational structure,and the multimodal asset generation module generates consistent multimodal assets for repeated processing of the same content. The output generation module generates adaptive learning roadmaps comprising predefined study segments and associates generated educational content and multimodal assets with corresponding structural nodes. The node-linking module maintains traceable links between generated outputs and source document structures, thereby providing reproducible, structurally faithful, and multimodal educational content.
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