A deep learning application trained using PyTorch to detect and classify acne severity from facial images. The model leverages a Region-Based Convolutional Neural Network (R-CNN) for box detection and severity classification, achieving 80% accuracy. The application uses the "acne04" dataset and manually labeled images collected with a Python-based web scraper.

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