Developed a system to analyze and predict the success of future restaurants in the New York City tri-state area based on attributes such as price, location, and category. Using data from the Yelp API, we aimed to create recommendations for existing restaurants to improve their success. Due to the unavailability of exact revenue figures, we used a proxy for success that took into account both restaurant ratings and turnover, in order to better capture the profitability of a given venture.