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ChatGPT with Mixed-Integer Linear Programming for Precision Nutrition Recommendations

2026-02-17

Abstract excerpt

<h4>Background</h4> The growing interest in applying artificial intelligence in personalized nutrition is challenged by the complex nature of dietary advice that must balance health, economic, and personal factors. Though automated solutions using either Linear Programming (LP) or Large Language Models (LLMs) already exist, they have significant drawbacks. LP often lacks personalization, whereas LLMs can be unrel...

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Literature Corpus work
ffa70ab6-d8e5-54f3-ac99-bb567f93889c
DOI
10.64898/2026.02.14.26346312
Open publication

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