SKIN CANCER DETECTION

The Skin Cancer Detection System is developed to identify skin cancer using machine learning techniques. Images of skin lesions are processed by a Single Board Computer (SBC) using trained ML models to detect abnormal patterns. The system supports early diagnosis and improves treatment outcomes. This project uses an SBC, ML algorithms, medical image processing, and embedded programming, making it suitable for dermatology and medical diagnostic applications.