Emotion Detection from Facial Expressions Using Deep Learning

Facial expression detection is a crucial aspect of human-computer interaction, enabling machines to recognize and respond to human emotions effectively. This paper presents a deep learning- based face expression detection system that classifies human emotions based on facial expressions. By leveraging convolutional neural networks (CNNs) and advanced image processing techniques, the system achieves high accuracy in detecting expressions such as happiness, sadness, anger, surprise, and neutrality. The research explores various datasets, training methodologies, and evaluation metrics to optimize performance.