This project focuses on public health issue related to processed food (high percentage of sugar, salt, fat, additives, etc.). The data we use to make decision must be verified before being used. Unfortunately verifying all data is expensive and sometimes even impossible when dealing with big data, thus a methodology for automatically verifying the data is essential. By making use of the verified data we plan to develop a system that can suggest users about their daily diets by providing recipes which contains healthier ingredients. In order to implement our idea, there are four main tasks to be completed: a) integrating various datasets about food; b) evaluating the trustworthiness of the integrated data in order to provide only reliable ones to our system; c) providing a system that is able to propose recipes to people depending on their needs; d) providing users with tools to interact with the system.