Implementation of CNN Algorithm for Real Time Facial Expression Recognition

Richa Anant Taywade, Amit Sahu

Abstract: In the real time of e - commerce, customer satisfaction and engagement play a pivotal role in driving sales and fostering long - term relationships. Recognizing the importance of understanding customers' emotions, facial expression detection has emerged as a valuable tool. This paper presents an implementation - focused approach utilizing Convolutional Neural Networks (CNNs) for facial expression detection in the context of e - commerce. By accurately identifying and interpreting customers' facial expressions, businesses can gain valuable insights into their emotions, enabling them to personalize the shopping experience and optimize customer satisfaction.

Keywords: Convolutional neural network, Deep neural networks, Deep structured learning, Machine learning

How to Cite?: Richa Anant Taywade, Amit Sahu, "Implementation of CNN Algorithm for Real Time Facial Expression Recognition", Volume 12 Issue 8, August 2023, International Journal of Science and Research (IJSR), Pages: 244-246, https://www.ijsr.net/getabstract.php?paperid=SR23731115320, DOI: https://dx.doi.org/10.21275/SR23731115320

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