US FOOD is a data-driven project focused on analyzing socioeconomic and assistance-related datasets to extract insights and build predictive models. The project involved data preprocessing, exploratory data analysis (EDA), and the development of machine learning models for both regression and classification tasks. The objective was to understand patterns in socioeconomic indicators and their relationship with assistance needs, and to build models capable of supporting data-informed decision-making.