What-To-Taste: A Food Recommendation System

Abstract

The Food recommendation system  software is relatively new in this era, with the  recommendation system that focuses on the user  preferences posited. Generally we get confused about what  to eat or try next, this problem is solved by our project,  which recommends food according to customer’s  experience, customer’s ratings on cuisine and customer’s  taste.  

“What-To-Taste” is a food recommendation system which  can be used by the food chain industry to keep  recommending their customers about the cuisine, basically  whatever they have in their menu, based on their customer  tastes, interests and order history. Each human has a  different taste that can be verified from recommendation  data at every new place and the best cuisine served is  location-dependent by rating through the customer.  

The Food recommendation system recommends by Food  profiling, User profiling, and recommending the specific  food item as per the last feedback submitted by the users.