Yum Yuk creates a food profile based on user input.
Then through the use of the Yummly API we compare profiles in similarity of attributes.
Finally Foods from very similar profiles are recommended.
We used Google App Services to store our user and recipe data.
Then we created an interface which randomly recommends foods from the vast Yummly database.
Our algorithm rates similarity between users based on a multi dimensional vector space.
Users with very high similarities are then given recommendations based off of each others food profiles.