MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202611007521 A) filed by Manipal University, Jaipur, Rajasthan, on Jan. 27, for 'ai-based system and device for personalized nutrition and predictive food safety assessment.'
Inventor(s) include Dr. Kanwal Preet Kour; Mritunjay Singh; and Aniket Veer Koppaka.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure discloses an AI-based system and device (100) for personalized nutrition and food safety assessment. The system comprises user interface module (102) for receiving health data, authentication and user validation module (104) for secure access, food identification module (106) for identifying food items, an environmental and food condition sensor module (108) for acquiring food condition parameters, and edge computing device (110) for local aggregation a of sensor data. The system further includes data preprocessing and feature engineering module (112), data aggregation and integration module (114), AI and machine learning inference engine (116), and hybrid decision and scoring engine (118). A recommendation and classification module (120), an alert module (122), a feedback, storage, and learning module (124), and an administrative module (126) collectively generate explainable, safety-aware personalized dietary recommendations by integrating nutrition suitability and food safety risk predictions."
Disclaimer: Curated by HT Syndication.
