Skip to content
Back to projects

Skin Cancer Classification Tool

Deep learning model for dermatologists

My university final project — a deep learning system to assist dermatologists in classifying skin lesions. The model was trained on the HAM10000 dataset and achieved 92% accuracy on test data.

Built as a web application for easy access in clinical settings.

What came out of it

  • 0192% classification accuracy on HAM10000 dataset
  • 02Real-time image processing and classification
  • 03Web interface for clinical use
  • 04Hamdard University BS CS Final Project