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HUMANEMOTIONRECOGNITIONFROMFACIALEXPRESSIONUSINGDEEPLEARNING
Humanemotionrecognitionplaysa vitalroleinenhancinghuman-computer interaction. Thisproject presentsareal-time emotion detection system using deep learning techniques. The system uses a webcam to capture live video input and processes facial expressions to identify emotions such as happy, sad, and angry. The implementation is done using Python with the help of DeepFace for emotion analysis, OpenCV for face detection, and Streamlit for building a userfriendly interface. Themodelutilizes pre-trained deep learningalgorithms to extract facialfeatures andclassify emotions accurately. The system provides real-time output along with emojis and messages, making it interactive and easy to understand. This project demonstrates the effectiveness of artificial intelligence in emotion recognition and its applications in mental health monitoring, smart assistants, and human behavior analysis.
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