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Peer-reviewed

Diet Quality and Caloric Accuracy in AI-Generated Diet Plans: A Comparative Study Across Chatbots

Hüsna Kaya Kaçar; Ömer Furkan Kaçar; Amanda Avery

Nutrients · 2025

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Summary

<b>Background/Objectives:</b> With the rise of artificial intelligence (AI) in nutrition and healthcare, AI-driven chatbots are increasingly recognised as potential tools for generating personalised diet plans. This study aimed to evaluate the capabilities of three popular chatbots-Gemini, Microsoft Copilot, and ChatGPT 4.0-in designing weight-loss diet plans across varying caloric levels and genders. <b>Methods:</b> This comparative study assessed the diet quality of meal plans generated by the chatbots across a calorie range of 1400-1800 kcal, using identical prompts tailored to male and female profiles. The Diet Quality Index-International (DQI-I) was used to evaluate the plans across dimensions of variety, adequacy, moderation, and balance. Caloric accuracy was analysed by calculating

Source type
Peer-reviewed study
DOI
10.3390/nu17020206
Catalogue ID
NRmo3d4gae-0cy
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