NadavIs56/Skin_Disease_AI
A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.
Implements the Xception architecture for multi-class lesion classification across seven categories (six skin disease types plus non-lesion), achieving 92% test accuracy with class-balanced data augmentation. Includes a complete diagnostic pipeline with preprocessing, visualization, and evaluation modules, plus a Streamlit web interface for real-time inference on dermoscopy images.
125 stars. No commits in the last 6 months.
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Last pushed
Apr 08, 2024
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