Trojan3877/Facial-Emotion-Recognition-System

The **Facial Emotion Recognition System** is a robust computer vision pipeline that detects and classifies human emotions (e.g., happy, sad, angry, surprised) from facial images and video streams. It leverages transfer learning with state-of-the-art convolutional neural networks (e.g., ResNet, EfficientNet) in PyTorch, fine-tuned on the FER2013 ben

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Language

Python

License

MIT

Last pushed

Apr 06, 2026

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