Realtime Emotion Recognition from Images to Understand Facial Expressions

Emotion recognition from images plays an important role in various industries, including healthcare, education and marketing, as well as in human-computer interactions. This paper aims to build a real-time emotion recognition system using deep learning to understand facial expressions and accurately infer emotional states. This system will use deep learning to extract features from facial images using Convolutional Neural Networks (CNNs). The results of this paper will help advance emotion recognition technologies and their applications in various industries, ultimately improving human-machine interactions and user experience.