We Are What We Eat: Personalized Food Recommendation System

Abstract

As today’s scenario is concerned about getting the things as early as possible or with less effort, the acquaint of online resources is increasing tremendously and one of the things that the people are putting glance on is the online delivery of food. There are many applications which provide efficient food delivery. We have many choices and little time to explore them all. For being healthy, we should have also nutrition management techniques. Hygienic and cost effectiveness are also considerable aspects to choose the food. In this context, our system is providing a solution for all these aspects. We are gathering data to get customer’s interest. In addition, our system is filtering and  giving a recommended list with managed nutrition chart. To enhance customer’s attraction, the system is also recommending promotions, offers and tips