MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202641097827 A) filed by Sns Academy on August 13, 2026, for Athlete Scholar Twin: An Ai-Powered Student-Athlete Digital Twin Optimization System.
Inventors include Mr S Gowtham; Dr. D. Kiruthika M. Com. , Mba. , M. Com Ca. , M. Phil. , Pgdca. , Set. , Ph. D.; Mrs. Sukanya; and Aswini M.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: An AI-powered Student-Athlete Digital Twin Optimization System is disclosed that integrates wearable sensing, educational analytics, physiological monitoring, predictive modeling, scenario simulation, and workload optimization. The system maintains a continuously updated digital twin representing a student athlete's academic, athletic, physiological, and cognitive state, and computes a composite Academic-Athletic Load Index (AALI) from academic load, athletic load, stress level, and recovery capacity. A prediction engine forecasts academic readiness, athletic readiness, burnout risk, and injury risk, while a scenario simulation engine evaluates candidate sleep, study, training, and competition schedules to identify an optimized schedule. A recommendation engine generates a personalized daily plan balancing academic and athletic demands, presented via a dashboard accessible to the student athlete, coaches, and academic advisors, thereby reducing burnout, injury, and academic underperformance through early, data-driven, cross-domain intervention.
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