MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202611021013 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on Feb. 23, for 'an ai and iot-based precision nutrition tracking and performance optimization system and method thereof.'
Inventor(s) include Adnan Ali; Ayush Srivastava; Adarsh Gupta; Abhishek Ranjan; and Dr. Sachin Jain.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI and IoT-based precision nutrition tracking and performance optimization system and method thereof, titled Nutri Quest, configured to provide real-time, personalized nutritional and physiological performance optimization. The system comprises a plurality of interconnected sensing modules for acquiring physiological and dietary data, an edge computing gateway for real-time preprocessing and artificial intelligence-based inference, a cloud-based computing platform executing predictive analytics, and a user-interactive computing interface. The system operates in a closed-loop hardware-software architecture enabling dynamic integration of food recognition outputs with physiological sensor data to generate adaptive nutritional recommendations and performance optimization parameters. The invention achieves a measurable technical effect comprising enhanced tracking accuracy, reduced computational latency, optimized energy efficiency, and improved sensor fusion reliability. The proposed system overcomes limitations of manual logging and isolated wearable monitoring solutions, thereby providing a scalable, efficient, and industrially applicable precision nutrition and performance optimization platform."
Disclaimer: Curated by HT Syndication.
