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A real-time facial emotion recognition system using deep learning and image processing. Built with a modified VGG16 CNN model trained on the FER-2013 dataset, this project uses PyTorch and OpenCV to classify emotions (happy, sad, angry, surprised, neutral) from live webcam input.
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