MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202641001245 A) filed by Rekha P; Sharmila Pabbathi; P. Bindu Madhavi; Thriveni C; Mrs. Padma T G; Dr. Krupashankari S Sandyal; Girija R; Preethi Lokesh; Dr. Vaishali Gajendra Shende; and Dr. Chandrakala B M, Bengaluru, Karnataka, on Jan. 6, for 'a system and method for automated ingredient extraction, health risk evaluation, and deceptive label detection using artificial intelligence.'
Inventor(s) include Rekha P; Sharmila Pabbathi; P. Bindu Madhavi; Thriveni C; Mrs. Padma T G; Dr. Krupashankari S Sandyal; Girija R; Preethi Lokesh; Dr. Vaishali Gajendra Shende; and Dr. Chandrakala B M.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention provides an artificial intelligence-based system and method for automated extraction, analysis, and evaluation of ingredient information from packaged consumable product labels. The system captures label images and utilizes optical character recognition to extract textual content, followed by natural language processing to normalize ingredient terminology and resolve spelling variations or synonyms. A health risk evaluation engine analyzes the normalized ingredients against predefined health criteria, regulatory guidelines, and nutritional impact, identifying harmful additives, refined components, excess sugars or sodium, and potentially misleading label claims. The system generates an overall health score, ingredient risk classification, and deception indicators, presenting the results in a user-friendly format that enables consumers to make informed and healthier dietary choices."
Disclaimer: Curated by HT Syndication.
