MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202621052943 A) filed by Manisha Rakate-More; Avanti Arvind Patil; Nidhi Niteen Bhagwat; Pradnya Subhash Bhoye; and Samruddhi Sanjay Bobde, Pune, Maharashtra, on April 25, for 'thesiscrafter: research generator from news analysis.'
Inventor(s) include Manisha Rakate-More; Avanti Arvind Patil; Nidhi Niteen Bhagwat; Pradnya Subhash Bhoye; and Samruddhi Sanjay Bobde.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "This invention relates to an automated research paper generation system that integrates Retrieval-Augmented Generation (RAG) with a multi-agent architecture to transform how academic content is created from real-time information sources. The system accepts user input in the form of live news headlines and processes it through a structured workflow to generate comprehensive research papers. A topic expansion mechanism converts the input headline into multiple subtopics and a well-defined research outline, ensuring an organized academic structure from the initial stage. The system incorporates a Retrieval-Augmented Generation module that connects to external knowledge sources such as live news APIs and web search services to obtain verified, relevant, and up-to-date information. This retrieved data is filtered, summarized, and injected into the content generation process, significantly improving factual accuracy and reducing hallucinations. A multi-agent research pipeline is employed, where specialized agents perform distinct tasks including research extraction, summarization, document structuring, and formatting with proper citations, thereby ensuring modularity, scalability, and high-quality output. The generated content is automatically organized into standard research paper sections such as introduction, methodology, results, discussion, conclusion, and references. The system further includes a document rendering module that converts structured content into professionally formatted PDF files. These files are stored on cloud platforms such as Google Cloud Storage. Additionally, the invention features an interactive chatbot interface that allows users to explore the generated research paper, ask context-specific questions, and receive accurate responses based on retrieved document content. The system is designed to be scalable, cost-efficient, and adaptable across various domains, including technology, public policy, and socio-economic research. Future extensions include integration with domain-specific retrieval systems, and multilingual or multimodal content generation, making the invention a comprehensive solution for automated, intelligent research assistance."
Disclaimer: Curated by HT Syndication.
