Acne Detection & Severity Classification App

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.