This project focuses on the intersection of computer vision and emotion recognition by employing the YOLO (You Only Look Once) algorithm for object detection. The primary objective is to train a machine learning model to identify and classify various facial expressions, thereby predicting human emotions in real-time or in static images. The emotions the model is designed to recognize include neutral, happy, sad, anger, and fear.
