MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202621032663 A) filed by Prof. Neha Rajas Patil; Prof. Surabhi Kakade; Krishna Yuvraj Marathe; Samarth Vishwanath Kulkarni; Indranil Santoshrao Nayak; Rutuja Saudagar More; and Kartik Vijay Mundwadkar, Pune, Maharashtra, on March 18, for 'bharat-annotate: multilingual ai-assisted data annotation system.'
Inventor(s) include Prof. Neha Rajas Patil; Prof. Surabhi Kakade; Krishna Yuvraj Marathe; Samarth Vishwanath Kulkarni; Indranil Santoshrao Nayak; Rutuja Saudagar More; and Kartik Vijay Mundwadkar.
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: "The present invention discloses a computer-implemented system for generating high-quality annotated datasets using artificial intelligence assisted human collaboration. The system provides Al-generated label suggestions for unlabeled data and presents them to human annotators through a multilingual interface. Annotators may verify, modify, or add annotations, and a consensus-based voting mechanism approves annotations when a predefined level of agreement is reached among multiple annotators. The system further includes an annotator reliability scoring module and a reward mechanism to encourage accurate participation. The validated annotations are stored to create scalable datasets suitable for training machine learning models across multiple domains."
Disclaimer: Curated by HT Syndication.
