| Summary: | Lifestyle, poor diet, stress, among other factors, strongly contribute to aggravate people's health problems, such as diabetes and high blood pressure. Some of these problems could be avoided if some of the essential recommendations for the practice of a healthy lifestyle were followed. This dissertation proposes a solution designed improve the quality of life of diabetic patients, more specifically in the context of finding restaurant in the nearby location, that are more suitable for the health needs of this patients. A diabetic-friendly feature that will combine multi-criteria decision making built through Multi-Agent System (MAS) that considers the user preferences initially recorded, and that provides the user with three category recommendations to potentially benefit and improve the user lifestyle and health. The solution proposes the use of Case-Based Reasoning algorithm to enable the solution to evolve and improve in each interaction with the user. Sentiment Analysis was also used for identifying the restaurant reviews score, since this is one of the defined criteria for the solution.
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