MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202511103362 A) filed by UPES, Dehradun, Uttarakhand, on Oct. 27, 2025, for 'ai-based restaurant menu recommendation system with calorie and budget constraints.'
Inventor(s) include Deepika Kamboj; Sanjeev Kumar; Mrigank Singh; and Bhavya Agarwal.
The application for the patent was published on Dec. 12, under issue no. 50/2025.
According to the abstract released by the Intellectual Property India: "The AI-based restaurant menu recommendation system (100) with calorie and budget constraints comprises of a user input interface module (102) for entering maximum calorie intake, budget ceiling, and optional filters including dietary preferences, allergens, cuisine types, and meal categories. A menu data acquisition module (104) retrieves structured menu information from restaurant databases via secure APIs and employs a nutritional estimation engine for missing calorie values. A filtering and matching engine module (106) identifies individual or combination meals satisfying both constraints, while an AI recommendation engine with adaptive machine learning module (108) personalizes suggestions based on historical selections. A result display and selection module (110) presents ranked options with nutritional breakdowns, prices, and value indicators. A restaurant dashboard and data sync module (112) enables real-time menu updates and anonymized analytics. The system (100) ensures privacy compliance and supports cross-platform deployment for dine-in, delivery, or takeout applications."
Disclaimer: Curated by HT Syndication.
