SKIN CANCER DETICTION

The Skin Cancer Detection System is a machine learning–based project designed to help detect possible skin cancer from images of skin lesions. The system analyzes images using artificial intelligence techniques to identify patterns and features associated with different types of skin cancer.

The model is trained on a dataset of labeled skin images and learns to distinguish between benign (non-cancerous) and malignant (cancerous) lesions. By processing an input image, the system predicts the likelihood of cancer and assists in early detection.

This project aims to demonstrate how machine learning and image processing can be used in the medical field to support doctors and improve early diagnosis. Early detection of skin cancer significantly increases the chances of successful treatment and can help save lives.