The project was to develop a green coffee recommendation system from the coffee inventory and archives of Sweet Maria’s.  The data needed to be collected from the website and then processed for a recommendations system. Once processed the system can be feed someone’s favorite coffee from the inventory and it will recommend the top three most similar coffees.  If a person is wanting to purchase coffee the system may also be feed a in-stock argument to have only in-stock coffees recommended. This Project was designed to limit the inventory that would needed to be maintained or coffees that needed to be tried for a roaster to purchase by recommending similar ones to the coffees the  enjoyed.