MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641087142 A) filed by Dr. K. Sasirekha; Mr. K. R. Surendran; Dr. N. S. Yogananda Rao; Ms C. Tina Joshly; Ms. K. Manasa; Ms. Abisha; Dr. S. Angelin Femilet; Ms. M. Praveena; Ms. V. Sharon Shinolini; and Mr. Suresh. G. S. on July 16, 2026, for A Smart Digital Reading Comprehension And Cognitive Performance Assessment System.
Inventors include Dr. K. Sasirekha; Mr. K. R. Surendran; Dr. N. S. Yogananda Rao; Ms C. Tina Joshly; Ms. K. Manasa; Ms. Abisha; Dr. S. Angelin Femilet; Ms. M. Praveena; Ms. V. Sharon Shinolini; and Mr. Suresh. G. S..
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: ABSTRACT Combing Machine Learning and Human Reflective Process for Teaching Communication Skills An adaptive intelligent communication skills training platform integrating explainable machine learning with structured human reflective processes is disclosed to enhance personalized learning across healthcare, education, corporate, and professional training environments. The invention utilizes multimodal data acquisition including speech, facial expressions, eye gaze, body posture, linguistic patterns, vocal characteristics, and contextual interaction parameters to continuously evaluate communication performance during simulated or real-world conversations. A hybrid artificial intelligence engine employing deep learning, transformer-based language models, reinforcement learning, and explainable machine learning generates competency scores, identifies behavioral patterns, predicts communication deficiencies, and provides transparent reasoning for every recommendation. Unlike conventional automated assessment systems, the proposed invention incorporates a reflective intelligence module that guides learners through structured self-reflection, mentor-assisted reflection, and evidence-based behavioral refinement using adaptive questioning, scenario replay, emotional awareness analysis, and personalized learning pathways. A digital learner profile continuously updates communication competencies, emotional intelligence, empathy, active listening, and decision-making capabilities while preserving privacy through federated learning and secure encrypted data management. The platform dynamically generates customized training scenarios based on learner progress and contextual requirements, enabling continuous competency development across diverse communication settings. Real-time instructor dashboards provide explainable analytics, longitudinal performance tracking, competency forecasting, and intervention recommendations to facilitate collaborative human-AI decision-making. The invention further supports multilingual communication analysis, cross-cultural interaction assessment, and adaptive curriculum optimization through continuous learning mechanisms. By combining automated intelligence with guided reflective practice, the proposed system improves communication effectiveness, learner engagement, knowledge retention, self-awareness, and professional competency while maintaining transparency, personalization, ethical AI governance, and human-centered educational decision support across multiple domains.
Disclaimer: Curated by HT Syndication.
