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The real-time emotion detection system built using TensorFlow and Convolutional Neural Networks (CNN). The model was trained on a dataset of images to classify human emotions and achieves an accuracy of 56%. It processes live video feeds to dynamically detect and categorise facial expressions in real time
keshav479/Realtime_emotion_detection
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The real-time emotion detection system built using TensorFlow and Convolutional Neural Networks (CNN). The model was trained on a dataset of images to classify human emotions and achieves an accuracy of 56%. It processes live video feeds to dynamically detect and categorise facial expressions in real time
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