Intelligent Food Recommendation System Based on Nutritional Information and Preferences of Customers

The growing concern for human being is about their health and resilience. People are unaware about their health conditions and what type of food they should eat in that health condition. People tend to overlook the internal structure of the food they eat and don’t pay attention to how many calories they should take in a day. This project motivates us to find out what food items and number of calories we should eat in various health conditions. This paper introduces a study of the food recommendation system. Foods can be grouped into categories based on calories, nutrients, price, vitamins, diseases, and other factors. Alternatively, restaurants can be identified based on distance from the user, price range, food offered, ratings and reviews. This paper highlights several parameters for food process making which is a very time-consuming process. A digital menu containing comprehensive information about food items. The digital menu will help customers to make decision on food very easily. This project includes a table booking service, recipes of food items, and food ordering service for the customers.