The application developed responded to the need to offer personalised meal plans aligned with the Dietary Guidelines for the Argentine Population. This solution used Artificial Intelligence to generate individualised nutritional recommendations and Augmented Reality to scan foods, enabling more conscious eating. It provided concrete benefits, such as access to healthy meal plans, daily progress tracking, and reduced risk of chronic non-communicable diseases. The project integrated knowledge of nutrition, computer science, and user experience design. Technologies such as SwiftUI for declarative interfaces, MVVM architecture to keep logic separate and organised, Node.js for backend development, and MongoDB for unstructured database management were implemented. This combination enabled a robust, flexible, and scalable application. The problem domain analysis highlighted the importance of distinguishing between meal plans and strict diets, emphasising mindful eating as a central focus. Compared to other apps on the market, this proposal stood out for its comprehensive, evidence-based and user-centred approach. In conclusion, the application represented a significant contribution to digital health. Not only did it promote healthy and sustainable eating, but it also proved to be an effective tool for fostering positive habits through education, personalisation and the strategic use of emerging technologies. Its development marked an important step towards digital solutions that improve quality of life.
María Julieta Rabozzi Orelo (Tue,) studied this question.