MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641111460 A) filed by Sns College Of Technology on September 17, 2026, for An Integrated Artificial Intelligence And Natural Language Processing Based Multimodal Script Generation And Creative Media Synthesis System.
Inventors include Vigneshvaran. S; Pavithra Parameshwari. B; Jhanavi. H; Rashi Shah; Varsha. M; Keshav. B; Aswini Selvakumari S; Pranesh J; and Vishnu Priya A.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: The present invention relates to an integrated Artificial Intelligence (AI), Natural Language Processing (NLP), and generative-media-based system for automated story development, screenplay generation, and multimodal creative content synthesis. The proposed system receives user-provided creative requirements such as story idea, genre, theme, characters, setting, language, target audience, duration, narrative style, mood, and emotional preferences. An AI-based intent and mood analysis engine processes these inputs to identify the user's creative requirements, emotional tone, narrative characteristics, and constraints. Based on the analyzed information, a story planning engine generates a structured narrative containing characters, relationships, settings, plot progression, conflicts, scenes, dialogues, climax, and resolution. An NLP-based script generation engine subsequently converts the narrative into a structured screenplay containing scene descriptions, actions, dialogues, transitions, emotional indicators, and visual information. The generated script is automatically decomposed into scenes. A semantic scene analysis and multimodal prompt generation engine extracts characters, locations, objects, actions, mood, lighting, visual style, camera perspective, and other scene attributes to generate optimized prompts for image and video generation. Generative AI models are then used to produce corresponding images, storyboards, animations, and video sequences. A cross- modal consistency engine maintains character identity, appearance, locations, objects, chronology, visual style, and emotional continuity across scenes. The system further includes an iterative refinement mechanism through which users can modify characters, dialogue, mood, scenes, visual style, or story elements. The system identifies affected components and selectively regenerates the required script and media assets. Thus, the invention provides a unified AI-driven platform that integrates story generation, screenplay generation, semantic scene understanding, image synthesis, video synthesis, consistency management, and iterative refinement within a single creative workflow.
Disclaimer: Curated by HT Syndication.
