MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202621008846 A) filed by Chaitanya Bhoir, Vasai, Maharashtra, on Jan. 29, for 'multilevelqgen: automated question paper generation using ai and nlp.'
Inventor(s) include Kirtan Bhatt; Yash Patil; Avinash Kharwar; Chaitanya Bhoir; Janhavi Sangoi; and Nilesh Deotale.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an automated question paper generation system utilizing artificial intelligence and natural language processing techniques. The system extracts and processes content from unstructured source documents and generates assessment questions using a large language model. A customization layer enables modification of generated questions based on user-defined parameters including difficulty level, Bloom's Taxonomy classification, and question format. The system further generates multiple alternative question sets from the same source content while maintaining conceptual equivalence. A retrieval-augmented generation mechanism retrieves relevant contextual information from the source documents and conditions the language model to produce accurate and contextually grounded questions. The invention reduces manual effort, improves consistency, and enables scalable and customizable generation of high-quality assessment materials."
Disclaimer: Curated by HT Syndication.
