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Codes for food store presence, density and popularity predictor. Merges census tract-level demographic data from ACS, neighborhood amenities from heterogenous sources, and Point of Interest (POI) data from anonymized cellphone GPS ‘pings’ to identify food retailer location and foot traffic information.
The purpose is to build the application for ordering food online by various companies' employees and collect it faster instead of standing in the queue in this busy office schedule.
🍔 Food Store: E-commerce de comida con panel de administración y carrito de compras. Desarrollado con HTML, CSS Grid/Flexbox y Vanilla JS. (Próximamente: Backend con Java Spring Boot y PostgreSQL).