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Nutrients
Volume 17
Issue 24
10.3390/nu17243892
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Article

SWITCHtoHEALTHY AI-Based Family Nutrition Recommendation System: Promoting the Mediterranean Diet

by
Kyriakos Kalpakoglou
1,*,
Perla Degli Innocenti
2,
Federica Bergamo
2,
Davide Beretta
3,
Federico Bergenti
3,
Alice Rosi
2,*,
Francesca Scazzina
2,
Lorena Calderón-Pérez
4,
Noemi Boqué
4,
Metin Güldaş
5,
Çağla Erdoğan Demir
6,
Lazaros P. Gymnopoulos
1 and
Kosmas Dimitropoulos
1
1
Visual Computing Laboratory (VCL), Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), 570 01 Thessaloniki, Greece
2
Human Nutrition Unit, Department of Food and Drug, University of Parma, 43121 Parma, Italy
3
Artificial Intelligence Laboratory, Department of Engineering for Industrial Systems and Technologies, University of Parma, 43121 Parma, Italy
4
Technological Unit of Nutrition and Health, Eurecat, Technology Centre of Catalonia, 43204 Reus, Spain
5
Department of Nutrition and Dietetics, Faculty of Health Sciences, Bursa Uludag University, 16059 Bursa, Türkiye
6
Department of Biotechnology, Graduate School of Natural and Applied Sciences, Bursa Uludag University, 16059 Bursa, Türkiye
*
Authors to whom correspondence should be addressed.
Nutrients 2025, 17(24), 3892; https://doi.org/10.3390/nu17243892
Submission received: 10 November 2025 / Revised: 8 December 2025 / Accepted: 9 December 2025 / Published: 12 December 2025
(This article belongs to the Special Issue Mediterranean Diet: Health Benefits and Sustainability)
Versions Notes

Abstract

Background/Objectives: Modern families face challenges in maintaining healthy and sustainable diets due to time constraints and busy lifestyles. The Mediterranean diet (MD), known for its benefits to both personal health and environmental sustainability, is often difficult to apply consistently within households. This paper presents and validates the SWITCHtoHEALTHY AI-based Family Nutrition Recommendation System, designed to generate meal plans aligned with MD guidelines. Methods: Two complementary recommendation engines were developed: the AI-based Family Nutritional Recommender, which creates personalized meal plans for adults that include shared family meals, and the Child Nutritional Recommender, which generates meal plans for children that could also incorporate school menus or proposals from the school cafeteria. Both systems rely on an expert-validated dataset of Mediterranean foods and are designed to comply with the expert-validated nutritional rules based on MD principals and national dietary guidelines. Results: The recommendation systems were validated using data from a real-world family intervention, achieving 90% accuracy in generating meal plans for all family members, while meeting the expert validated dietary rules for both adults and children. Moreover, AI-based Family Nutritional Recommender exceeds 90% accuracy in estimating calorie and nutrient content for adults. Conclusions: The results demonstrate the preliminary potential of AI-based recommendation systems to facilitate healthier and more sustainable dietary habits within modern households by generating personalized, nutritionally balanced family meal plans consistent with MD principles.
Keywords: AI-based meal recommender; AI-based nutrition recommender; Mediterranean diet; family meals; family diet; children meal recommender; healthy diet; artificial intelligence AI-based meal recommender; AI-based nutrition recommender; Mediterranean diet; family meals; family diet; children meal recommender; healthy diet; artificial intelligence

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MDPI and ACS Style

Kalpakoglou, K.; Degli Innocenti, P.; Bergamo, F.; Beretta, D.; Bergenti, F.; Rosi, A.; Scazzina, F.; Calderón-Pérez, L.; Boqué, N.; Güldaş, M.; et al. SWITCHtoHEALTHY AI-Based Family Nutrition Recommendation System: Promoting the Mediterranean Diet. Nutrients 2025, 17, 3892. https://doi.org/10.3390/nu17243892

AMA Style

Kalpakoglou K, Degli Innocenti P, Bergamo F, Beretta D, Bergenti F, Rosi A, Scazzina F, Calderón-Pérez L, Boqué N, Güldaş M, et al. SWITCHtoHEALTHY AI-Based Family Nutrition Recommendation System: Promoting the Mediterranean Diet. Nutrients. 2025; 17(24):3892. https://doi.org/10.3390/nu17243892

Chicago/Turabian Style

Kalpakoglou, Kyriakos, Perla Degli Innocenti, Federica Bergamo, Davide Beretta, Federico Bergenti, Alice Rosi, Francesca Scazzina, Lorena Calderón-Pérez, Noemi Boqué, Metin Güldaş, and et al. 2025. "SWITCHtoHEALTHY AI-Based Family Nutrition Recommendation System: Promoting the Mediterranean Diet" Nutrients 17, no. 24: 3892. https://doi.org/10.3390/nu17243892

APA Style

Kalpakoglou, K., Degli Innocenti, P., Bergamo, F., Beretta, D., Bergenti, F., Rosi, A., Scazzina, F., Calderón-Pérez, L., Boqué, N., Güldaş, M., Demir, Ç. E., Gymnopoulos, L. P., & Dimitropoulos, K. (2025). SWITCHtoHEALTHY AI-Based Family Nutrition Recommendation System: Promoting the Mediterranean Diet. Nutrients, 17(24), 3892. https://doi.org/10.3390/nu17243892

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