MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049773 A) filed by Asia Pacific World School; and Samuel Paul Isaac, Bengaluru, Karnataka, on April 19, for 'a system for ai-based virtual teaching using facial recognition and llm adaptation.'
Inventor(s) include Samuel Paul Isaac; Dalavoi Dwaraka Sarathi; and Shrihan Akella.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-enabled virtual teacher system integrating facial recognition, Large Language Model-based content generation, and multimodal engagement analytics for autonomous classroom teaching. The system identifies students using deep-learning-based biometric recognition and retrieves individualized learning profiles. A Large Language Model generates adaptive instructional content tailored to student-specific learning metrics. Real-time engagement monitoring using facial expressions, gaze analysis, and cognitive indicators enables dynamic modification of teaching strategies. The system delivers content through audio-visual interfaces and performs continuous assessments to update learning profiles. The invention provides a scalable, personalized, and intelligent teaching solution, enhancing learning efficiency and classroom interaction."
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