• T.Prathyusha
• Dr.K.Suresh Babu

Nowadays, most of the restaurants are being automated and the presence of staff is minimal. Due to the less staff, the management was not able to collect the experiences from all the customers who visit the restaurant. This paper presents a rating system based on FER with pre-trained convolutional neural network (CNN) models. For interactive human and computer interface (HCI) the computer must understand the facial expressions of humans. HCI reduces the gap between computers and humans. Computers can interact more appropriately with humans by judging their expressions. There are various techniques for facial expression recognition which focus on getting good results of human expressions and then the food is supposed to be rated. Compared to the text-based rating systems, the information contained in it would be less. The rating is simple and playful. In addition to this, the management can estimate the age group experiences on the restaurant's concepts. Here we explain three expressions (Happy, neutral, and sad) in the rating system.

Deep Learning, Machine Learning, Facial expression recognition, HCI,CNN, automated rating system, automated restaurants.

"Facial Expression Recognition Based Rating System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.d388-d393, June-2021, Available :http://www.jetir.org/papers/JETIR2106456.pdf

"Facial Expression Recognition Based Rating System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppd388-d393, June-2021, Available at : http://www.jetir.org/papers/JETIR2106456.pdf