Analysis of Human Emotion using Deep Learning

This research introduces an innovative real-time human emotion recognition system that seamlessly integrates computer vision techniques to address the challenges faced by individuals in understanding and recognizing human emotions. By focusing on facial expression recognition, which encompasses emotions such as fear, anger, surprise, sadness, and happiness, the proposed system aims to provide a comprehensive understanding of human emotions. The application of facial expression recognition extends beyond individual interactions to various domains, including security, privacy, and marketing. Businesses use Artificial Intelligence (AI) to analyze customer satisfaction by interpreting emotional responses to images or videos. These insights play a crucial role in tailoring products and services to meet customer preferences, thereby enhancing marketing strategies and improving overall customer experience.