MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202521093871 A) filed by Dr. Ranjana Patil; Santosh Sutar; Sanobar Kazi; Kiran Jadhav; Dr. Vaishali Kirte; Meenakshi Jadhav; Jitendra Maske; and Dr. Jasmin, Pune, Maharashtra, on Sept. 30, 2025, for 'machine learning based system and for enhancing learning and teaching opportunities, expanding access to information, and reducing inequities.'
Inventor(s) include Dr. Ranjana Patil; Santosh Sutar; Sanobar Kazi; Kiran Jadhav; Dr. Vaishali Kirte; Meenakshi Jadhav; Jitendra Maske; and Dr. Jasmin.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The invention relates to a machine learning-based system, method, and device designed to enhance learning and teaching opportunities, expand equitable access to information, and reduce educational inequities across diverse socio-economic and geographic contexts. The system integrates a machine learning core module employing supervised, unsupervised, reinforcement, and federated learning models to generate adaptive, personalized learning trajectories while preserving data privacy. A learning opportunity enhancement engine dynamically adjusts instructional content using reinforcement learning reward structures derived from learner performance metrics. A teaching analytics module provides educators with predictive insights through graph-based knowledge representation and causal inference models, thereby supporting data-driven interventions. The invention further comprises a content harmonization and equity layer that integrates open educational resources, institutional repositories, and community-contributed content, ensuring authenticity through blockchain-based anchoring and fairness through bias-detection techniques."
Disclaimer: Curated by HT Syndication.
