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Capstone Projects

Machine Learning for Better Consumer-Product Matching in Meal Planning

Program: Data Science Master's
Host Company: Fed By Data
Location: Wisconsin (onsite)
Student: Nicholas Gretzon

This project is a business plan for a meal planning mobile application. Fed By Data, uses machine learning to provide consumer-product matching recommendations that help users plan meals that their family will like, that fit within their budget, and that help them meet their nutritional goals. The objectives of the project are to plan how to procure a curated recipe dataset to develop a recommendation algorithm, plan for a recipe database to facilitate providing recipes to users, plan for the in-app user experience, research the meal planning app market, and establish a plan to implement in-app advertising.