Skin Cancer Detection Web App

This is a Streamlit-based web application that allows users to upload an image of a skin lesion and receive a prediction of its class using a trained deep learning model.

🧠 Model Information

The model used is a pre-trained Keras model (skin_cancer_model.h5) capable of classifying images into one of the following skin lesion categories:

• Melanocytic nevi
• Melanoma
• Benign keratosis-like lesions
• Basal cell carcinoma
• Actinic keratoses
• Vascular lesions
• Dermatofibroma

📦 Requirements

To run this app, you'll need the following Python packages:

• streamlit
• keras (with TensorFlow backend)
• Pillow
• numpy

Install the dependencies using:

pip install streamlit keras Pillow numpy