Human-Computer Interaction Based System with Multi-Modal Learning for Real-Time Dynamic Content Curation

Abstract

The present invention introduces a novel system and method for real-time content creation, curation, and augmentation, leveraging integrated generative artificial intelligence (AI) and multimedia processing. Through a blend of machine learning, computer vision, and natural language processing, the system synthesizes diverse creative content, encompassing visual and textual outputs, in response to live human input such as audio and visual feeds. The system's architecture, depicted through various diagrams, elucidates the flow of data and interaction modalities inclusive of user preferences. The presented invention is achieved through integrating advancements in multimedia processing, human-computer interactions, natural language processing, content generation, and real-time data processing.

Dependencies are inferred from the claim text.