Farhan Khan

Skin Cancer Detection

Developed a dual-modality skin lesion classification system using clinical and dermatoscopic images with patient metadata, achieving 75.94% accuracy and integrating the trained PyTorch model into a Streamlit application for real-time inference and class-wise probability predictions