MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641083173 A) filed by Dr. Ameer Asra Ahmed; Mr. Naga Hemanth Badabagni; Prof. Madhusudhan S; Nagesh Mantravadi; P. Anthani Ramesh; L. Sreenivasarao; G. Rahul Kumar; R. Gayathri; K. Sudheer; and S. Rahini Sudha on July 07, 2026, for An Intelligent Generative Artificial Intelligence System For Personalized Multimodal Content Creation Using User Behaviour Modelling And Semantic Context Modelling.
Inventors include Dr. Ameer Asra Ahmed; Mr. Naga Hemanth Badabagni; Prof. Madhusudhan S; Nagesh Mantravadi; P. Anthani Ramesh; L. Sreenivasarao; G. Rahul Kumar; R. Gayathri; K. Sudheer; and S. Rahini Sudha.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: [054] The present invention relates to a system for personalized multimodal content generation using behaviour-context fusion and semantic consistency control. The system comprises at least one processor, memory, a user interaction capture unit, a behaviour vector generation unit, a semantic context modelling unit, a behaviour-context fusion engine, a multimodal generation planner, a generative processing unit, a semantic consistency verification unit, an adaptive rendering unit, and a feedback-based refinement unit. The system captures user behavioural signals, converts them into a compact behaviour vector, generates a semantic context graph from a user request, and produces a fused control representation for controlling multimodal generation. Generated text, image, audio, video, layout, and metadata components are verified for semantic and cross-modal consistency. Inconsistent components are selectively regenerated without regenerating the entire content. The system further adapts verified content according to device constraints and updates behaviour modelling using feedback signals, thereby improving technical efficiency, personalization, and content consistency. Accompanied Drawing [FIGS. 1-2]
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