Uma arquitetura autoadaptativa para a recomendação de alimentos

Abstract

The use of computing technologies can help the mitigation of complex social problems, such as food and nutritional insecurity in Brazil. In order to contribute to addressing the challenge posed by this undernourishment, EMBRAPA Gado de Leite Juiz de Fora and the Federal University of Juiz de Fora developed the Nutrileite Project, which aims to calculate the nutritional cost-benefit of foods, providing information on which foods are more nutritious and affordable. However, the project faces challenges due to the large amount of data and price volatility. There is a need for an automated approach to deal with the diversity of data and contexts in Brazil. Therefore, this dissertation proposes the Nutri’n Price Architecture, a technological solution to automate the extraction and processing of nutritional and food cost information. The research is organized based on the Design Science Research (DSR) methodology and reports in this work three development cycles. These cycles evolve the architecture so that it provides personalized recommendations about foods based on their cost and nutritional value, considering the preferences and socioeconomic needs of users. The proposed solution includes the use of Webscraping for data collection, Machine Learning to predict price changes, and a semantic network to personalize recommendations. The architecture is designed to be self-adaptive, dynamically adjusting to changes in the environment and user needs. Nutri’n Price aims to serve a large number of users, providing a robust solution to nutritional and food insecurity in different regions of Brazil. The research highlights the importance of computational technologies in solving social problems and shows how the Nutri’n Price Architecture can significantly contribute to promoting healthier and more affordable food. In addition, the work paves the way for future research and innovations in the area of Social Computing, reinforcing the essential role of technology in building a more just and sustainable society.