MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641048418 A) filed by The Principal,sns College Of Technology on April 16, 2026, for Ai-Powered Educational Video Summarizer With Pdf Export And Interactive Doubt Resolution.
Inventors include Prabhu V; Rashiga. S; Harshitha. R; Harish Kumar. M; and Akash. G.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: An artificial intelligence-based video content processing and summarization system is disclosed for enhancing digital learning from multimedia sources. The invention utilizes a multi-stage processing pipeline (1 04) that efficiently handles video inputs from online links or uploaded media, enabling seamless analysis of large and complex educational content. A transcription module (106a) converts audio streams into textual data, which is further processed by a semantic segmentation module (106b) to divide content into meaningful contextual segments. A context-aware summarization engine (106c) generates concise and relevant summaries by extracting key information while preserving semantic coherence. The system further incorporates a structured content generation module (106d) that organizes summarized data into hierarchical formats such as headings, key points, and notes, along with a document generation module (106e) that converts the content into portable formats for offline accessibility. Processed data is stored within a storage and persistence layer (11 0), including a. database (11 Oa) and cloud storage (11 Ob ), enabling efficient retrieval and long-term access. Additionally, a conversational ~rtificial intelligence module (112a) interacts with stored knowledge to provide real-time, context-aware responses to user queries, facilitating an interactive learning experience. Experimental observations demonstrate significant reduction in cootent consumption time . . and improved knowledge retention by transforming lengthy videos into structured and easily understandable formats. The invention provides a scalable, efficient, and user-centric alternative to traditional video learning platforms by integrating automated summarization, structured knowledge representation, and conversational interaction within a unified framework.
Disclaimer: Curated by HT Syndication.
