MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641071087 A) filed by Veeraiah Kanchanpally; M. Akhila Reddy; Deepika Tenepalli; Nancy Sharma; Komal Sharma; Dr. S. Arunkumar; Shaivyaa Sharma; Veeresh V; Dr. P. Ashok; Dr. M. Kalimuthu; M. Keerthi Priya; and Ruthvika R on June 08, 2026, for Machine Learning-Based Adaptive Platform For Integrating Gender Perspectives Into Technology-Enhanced Learning.
Inventors include Veeraiah Kanchanpally; M. Akhila Reddy; Deepika Tenepalli; Nancy Sharma; Komal Sharma; Dr. S. Arunkumar; Shaivyaa Sharma; Veeresh V; Dr. P. Ashok; Dr. M. Kalimuthu; M. Keerthi Priya; and Ruthvika R.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: Machine Learning-Based Adaptive Platform for Integrating Gender Perspectives into Technology-Enhanced Learning is the proposed invention. The proposed invention relates to a machine learning-based adaptive platform for integrating gender perspectives into technology-enhanced learning environments using advanced transformer-based deep learning and explainable artificial intelligence techniques. The proposed system is designed to analyze multimodal educational data including learner interactions, communication patterns, assessment performance, engagement behavior, and collaborative activities to identify gender-related disparities and inclusivity challenges within digital learning ecosystems. The platform employs transformer neural networks and natural language processing models to detect biased educational content, unequal participation trends, and behavioral indicators that may affect equitable learning experiences. Based on the analytical results, an adaptive recommendation engine dynamically personalizes learning pathways, instructional resources, collaborative activities, and motivational feedback to promote balanced participation, inclusive engagement, and improved academic outcomes.
Disclaimer: Curated by HT Syndication.
