MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202631027208 A) filed by Asansol Engineering College, Asansol, West Bengal, on March 9, for 'calorie and cost estimation with balanced diet using machine learning.'
Inventor(s) include Mr. Santosh Prabhakar; Mr. Biplab Kumar Mondal; Mr. Amit Kumar Jha; Sayani Brahmachary; Sumana Panda; Shreya Bhattacharjee; and Sanchayita Dutta.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The invention discloses an AI-driven, fully automated system for food detection, cost estimation, caloric calculation, and personalized dietary planning utilizing Convolutional Neural Networks (CNNs). By processing food images uploaded through a digital interface, the system identifies specific food items, estimates volumetric portions, and retrieves corresponding nutritional and fiscal data from curated, dynamic datasets. The system achieves a high precision rate of approximately 97%, significantly reducing the manual effort required for dietary monitoring. The architecture includes a self-learning mechanism to improve accuracy over time and a recommendation engine that generates dietary suggestions based on user-specific health goals. The invention finds utility in healthcare, fitness tracking, and smart kitchen environments."
Disclaimer: Curated by HT Syndication.
