Retracted: Application of Image Processing and Machine Learning for Smart Restaurants

The idea is to provide a smart package for restaurants using machine learning techniques. The techniques we have used are image processing, association rule generation and sentiment analysis . Main objective is to provide an interface for the customer where he can get complete information about the restaurant. Customer has to click and upload a picture of the restaurant. The system will perform image processing and as a response it will identify the restaurant (just by the picture). Along with identification of the restaurant it will also give the customer the previous reviews about the restaurant. These reviews will help the customer in order to decide whether the restaurant is of his choice or not. Our solution for smart restaurants also includes smart menu card for each restaurant. Here we are performing association rule mining on the previous year’s transaction of each restaurant and hence obtain a list of most frequently ordered dishes according to customer’s choice and then form combos of the same in order to attract the customers. In the end we have an automated mail generating system which sends an e-mail to all the customers in the restaurants database about the offers they can avail in the restaurants. This will help in getting more customers to the restaurants.