CANCER CELL DETCTION

The Cancer Cell Detection System is designed to identify cancerous cells using machine learning techniques. Medical images or cell data are analyzed on a Single Board Computer (SBC) using trained ML algorithms. The system detects abnormal cell patterns and assists in early diagnosis. This improves accuracy and reduces manual analysis. This project uses an SBC, ML algorithms, medical image processing, and embedded programming, making it suitable for medical diagnosis and cancer research applications.