• Vallamreddy Nagalakshmi
• Dr Vanitha Kakollu
• Tandrangi Venkatadri Naidu

Abstract: Over the past few years, automatic facial emotion recognition has received enormous attention. This is due to the increase in the need for behavioural biometric systems and human machine interaction where the facial emotion detection helps to predict the current emotions. In the past two years, the deployment of Artificial Intelligence based emotion detection is emerging in various sectors such as smart devices, robotics, cars etc. All the industries started to implement the Emotion detection to help the organizations to create better customer experience and unlock the cost savings. The purpose of this paper is to develop a machine learning model capable of utilizing web cameras to detect a human face and identify the emotion from it. This paper can be implemented in various sectors such as medical diagnosis where we can identify the emotions of the patients, even in education where it helps to identify the student anxiety levels etc. But in this paper, we are primarily focused on the Retail Sector where all the retailers have started looking for Artificial Intelligence based Emotion Detection in stores to capture demographic information and visitor’s mood and reactions. This paper helps the retailers for analyzing and identifies the emotions of the each and every customer when they visit their stores and while purchasing the products from the store. And even it helps to identify the customer satisfaction levels through emotions when they enter the stores even when they don’t purchase the products. The chosen deep learning algorithm for this paper is Convolution Neural Network in short CNN. The hidden layers include convolution, pooling, dense and dropout layers.

Artificial Intelligence, Emotion Detection, Deep Learning Techniques, Neural Networks.

"Artificial Intelligence based Emotion Detection of Facial Expression in Various Sectors using Deep Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.c246-c249, April-2022, Available :http://www.jetir.org/papers/JETIR2204234.pdf

"Artificial Intelligence based Emotion Detection of Facial Expression in Various Sectors using Deep Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppc246-c249, April-2022, Available at : http://www.jetir.org/papers/JETIR2204234.pdf