MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641020932 A) filed by Nandha Engineering College, Erode, Tamil Nadu, on Feb. 23, for 'nutrivisionx: a transformer based multilingual semantic food label understanding system for advanced personalized dietary risk prediction.'
Inventor(s) include T R Nivetha; S Poovarasan; T Saarumathi; and P Devika.
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: "With increasing awareness of health and nutrition, consumers rely heavily on packaged food labels to make dietary decisions; however, understanding these labels remains difficult due to complex ingredient terminology, chemical names, and multilingual packaging. The present invention introduces NutriVisionX, an intelligent food label understanding and dietary risk prediction system that uses artificial intelligence to assist users in interpreting packaged food information in a clear and meaningful manner. The system captures images of food labels using commonly available cameras on mobile or computing devices and extracts textual content through Optical Character Recognition techniques. The extracted text is processed using a transformer-based semantic analysis module that interprets ingredient meanings, contextual relationships, and equivalent terms across different languages and regions. This approach enables the system to identify hidden dietary components such as additives, alternative ingredient names, and chemically represented substances that are often overlooked by conventional text-based analysis methods. Based on this semantic understanding, the system evaluates potential dietary risks and categorizes food products into appropriate risk levels, while also providing user-fi*iendly explanations to support informed food choices. NutriVisionX operates as a fully software-driven and privacy-preserving solution, eliminating the need for wearable devices, sensors, or biometric data. By combining computer vision, natural language processing, and semantic reasoning, the invention offers a scalable and accessible platform for real-time dietary risk assessment, suitable for deployment across mobile and web-based environments to promote healthier eating decisions."
Disclaimer: Curated by HT Syndication.
