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Used a pre-trained model, ensemble duonet, to detect the type of emotion displayed by the image selected at random from a dataset consisting of 35,000 photographs. Provided a confusion matrix for error detection showing an accuracy of 74%.

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Facial Emotion Recognition System

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Used a pre-trained model, ensemble duonet, to detect the type of emotion displayed by the image selected at random from a dataset consisting of 35,000 photographs. Provided a confusion matrix for error detection showing an accuracy of 74%.

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