Vital Soma - Mobile software for health monitoring and body care
DOI:
https://doi.org/10.33448/rsd-v14i12.50168Keywords:
Health, Artificial intelligence, Gamification, Application, Calories.Abstract
The objective of this article is to present a mobile application development project for health promotion, integrating AI and gamification to assist users through accessible and personalized monitoring of nutrition and physical activities. The methodology was structured in stages ranging from requirements gathering to the final system implementation. The application was developed in React Native, using Supabase as the database and Figma for interface design. The AI responsible for calorie estimation was trained in Google Colab, based on a computer vision model and a specialized dataset of food images. The intelligent chatbot, developed with the Gemini API, was designed to provide personalized support regarding nutrition and physical activities. The code adhered to the MVVM architectural pattern, and task management was carried out using the Scrum agile methodology, supported by Runrun.it. In the tests performed, the system showed good performance and stability in the main functionalities, such as activity logging and the evolution ranking, which utilizes gamification elements to motivate the user. It is concluded that the integration between different AI technologies and interactive features enhances engagement and self-care, making nutritional and physical monitoring more accessible, dynamic, and effective.
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Copyright (c) 2025 Marieli Buri da Silva, Nelson Lourenço da Trindade Neto, Miguel Mella Silva, Felipe Henrique de Oliveira Cândido, Elaine Pasqualini, Isaque Katahira, Jéssica Antonio Delgado
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