ORIGINAL RESEARCH article
Front. Nutr.
Sec. Nutrition Methodology
Volume 12 - 2025 | doi: 10.3389/fnut.2025.1546107
This article is part of the Research TopicRevolutionizing Personalized Nutrition: AI's Role in Chronic Disease Management and Health ImprovementView all 7 articles
An AI-Based Nutrition Recommendation System: Technical Validation with Insights from Mediterranean Cuisine
Provisionally accepted
Kyriakos Kalpakoglou1*
Lorena Calderon Pérez2Noemi Boqué2Çağla Erdoğan3Metin Guldas3
Lazaros P. Gymnopoulos1
Kosmas Dimitropoulos1- 1Centre for Research and Technology Hellas (CERTH), Thessaloniki, Greece
- 2Eurecat (Spain), Barcelona, Catalonia, Spain
- 3Bursa Uludağ University, Bursa, Bursa, Türkiye
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Modern lifestyle trends such as sedentary behaviors and unhealthy diets pose a major health challenge as they have been related with multiple pathologies. Following a healthy diet has become increasingly difficult in today's fast-paced world. As a result, artificial intelligence can play a pivotal role in addressing this challenge. In this paper, we present an AI-based nutrition recommendation system that generates balanced, personalized weekly meal plans tailored to the nutritional needs and preferences of healthy adults. The system achieves high accuracy in terms of suggested caloric and nutrient content while ensuring seasonality, diversity and food group variety. The proposed method retrieves dishes and meals from an expert-validated database, featuring Mediterranean foods, following a meticulously structured four-step process to recommend a weekly Nutrition Plan (NP). The system's performance is evaluated across 4,000 generated user profiles in three key areas: a) dish/meal filtering accuracy based on user-specific parameters (e.g., allergies), b) diversity of meals and food group balance, and c) accuracy in caloric and macronutrient recommendations. With solid accuracy in filtering, diversity, and caloric/macronutrient suggestions, the proposed system offers a promising solution to modern dietary challenges.
Keywords: artificial intelligence, AI-based recommender, Personalized recommendations, Nutritional recommendations, meal plan recommendations, Healthy diet, Mediterranean cuisine
Received: 16 Dec 2024; Accepted: 31 Jul 2025.
Copyright: © 2025 Kalpakoglou, Pérez, Boqué, Erdoğan, Guldas, Gymnopoulos and Dimitropoulos. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Kyriakos Kalpakoglou, Centre for Research and Technology Hellas (CERTH), Thessaloniki, Greece
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