Real-time emotion detection using CNN model integrated with web application. Analyzes facial expressions through webcam feed to detect emotions like happiness, sadness, anger, surprise, and more.
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This emotion detection system uses a trained Convolutional Neural Network to analyze facial expressions in real-time. The model was trained on thousands of facial images to recognize seven distinct emotions.
The web application captures video from the user's webcam and processes each frame to detect faces and classify emotions, providing instant visual feedback with emotion labels and confidence scores.
