Facial Expression Based Automated Restaurant Food Review System using CNN

A large amount of money is added every year to the economy through the restaurant business in a country. Nowadays, the restaurant business in Bangladesh has become very popular because of the increasing number of customers and high profit margins. Different people prefer various types of foods in the restaurant; moreover, they order food without knowing the quality and the taste of the food. There are a few restaurant review systems for customers in Bangladesh, they are mostly mobile application-based. As a result, the customer does not have any appropriate knowledge about the restaurant and the food. In this work, we tried to apply deep learning techniques for the restaurant and food review system by recognizing facial expressions with the help of convolutional neural network and the FER-2013 dataset, which is an open-source dataset. The experiment results show that the proposed technique performs satisfactorily with an accuracy of 81%. Finally, the efficiency of the system has been tested by using realtime images.