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2019·Sole Developer
Skin Cancer Classification Tool
Deep learning model for dermatologists
Overview
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.
Key Highlights
- 92% classification accuracy on HAM10000 dataset
- Real-time image processing and classification
- Web interface for clinical use
- Hamdard University BS CS Final Project
Tech Stack
PythonTensorFlowOpenCVFlaskReact