AI Meal Recommendation System Using Health Data and Machine Reasoning

ChangeBridge: Patent Grants - Health Informatics (G16H)

Published March 31st, 2026

Detected March 31st, 2026

Summary

USPTO granted patent US12592310B2 to International Business Machines Corporation for an AI system that generates personalized meal recommendations using eating characteristics, health data, and activity data. The system determines caloric needs and delivers recommendations via a voice-enabled virtual assistant. The patent covers 14 claims and has 5 CPC classifications in health informatics and AI domains.

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What changed

USPTO issued patent grant US12592310B2 to International Business Machines Corporation covering an AI system for meal recommendations using health data and machine reasoning. The system trains on eating patterns, health data, and activity data to generate personalized meal recommendations including recommended meal times and caloric intake based on user needs. The patent (Application No. 17475839, filed September 15, 2021) contains 14 claims and is classified under G16H 20/60 and related CPC codes.

This patent grant does not impose compliance obligations on third parties. Organizations developing AI-powered health or nutrition recommendation systems should review this patent for potential freedom-to-operate considerations and prior art awareness. Patent grants are informational notices that establish IP rights but do not create regulatory requirements or deadlines.

Source document (simplified)

← USPTO Patent Grants

Channel calorie consumption and notification using machine reasoning

Grant US12592310B2 Kind: B2 Mar 31, 2026

Assignee

International Business Machines Corporation

Inventors

Venkata Vara Prasad Karri, Tanvi Tayal, Shikhar Kwatra, Hemant Kumar Sivaswamy

Abstract

An approach is provided that trains an artificial intelligence (AI) system with a set of eating characteristics corresponding to a human subject. The eating characteristics include one or more eating patterns, health data, and activity data. The trained AI system generates a meal recommendation corresponding to the human subject. The meal recommendation includes a recommended meal time, and one or more food recommendations that are based upon a determined set of caloric needs pertaining to the human subject. The system automatically provides the generated meal recommendation at a time that is based on the recommended meal time using a voice-enabled virtual assistant that is accessible by the AI system.