Real-Time Facial Emotion Detection Using Machine Learning

In recent years, the advancements in Machine Learning (ML) and Computer Vision (CV) techniques have facilitated the development of “Real-time Facial Emotion Detection” systems. These platforms find utility in a range of domains, encompassing human-computer Engagement, psychology, and human emotion analysis and provides a novel approach for “Real-time Facial Emotion Detection Using Machine Learning” (RFEDUML) algorithms. The proposed system utilizes ML functionalities, particularly “Convolutional Neural Networks” (CNNs), to analyze and classify facial emotions from live pictures.