MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202621048587 A) filed by Moresh Madhukar Mukhedkar; Pratik Parkale; Akash Sudrik; Suraj Pandule; Ajay Raundhal; Nitin Dawande; Vivek Patil; and Shweta Koparde on April 16, 2026, for Fake News Detection And Summarisation Using Nlp.
Inventors include Moresh Madhukar Mukhedkar; Pratik Parkale; Akash Sudrik; Suraj Pandule; Ajay Raundhal; Nitin Dawande; Vivek Patil; and Shweta Koparde.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: This invention presents an intelligent system for fake news detection and news summarization using Natural Language Processing and machine learning techniques. The system accepts news articles or URLs as input and processes the content through text preprocessing and feature extraction methods. A machine learning model is used to classify the news as real or fake, while a transformer-based model generates concise summaries of the content. The system also supports real-time analysis by extracting news directly from online sources. The results include prediction output, confidence score, and summarized text, which are displayed through a user-friendly web interface. The proposed system helps reduce the spread of misinformation, saves time for users, and improves the reliability of news consumption by providing accurate and quick analysis.
Disclaimer: Curated by HT Syndication.
