Facial Expression Based Restaurant Scoring System

Abstract

Abstract: Automated becoming unmanned restaurants have become more and more common in recent years. Customers' opinions cannot be directly seen in order to learn about their encounters with the idea of a restaurant because staff members are not there. This research provides a rating system based on already trained convolutional neural network (CNN) algorithms for face expression recognition. It consists of an AI server that has been trained, a web server, and an Android mobile application. Ratings are intended for both the cuisine and the setting. At the moment, the scoring system offers three expressions: neutral, disappointed, and satisfied.