Skin cancer or tumors require early detection and precise intervention to improve patient outcomes, yet current methods often suffer from inaccuracies, invasiveness, and operator-dependent variability. This paper introduces a system that integrates robotics and computer vision to address these problems. It utilizes a Raspberry Pi, sensors, motors, and a camera to perform real-time tumor detection and facilitates an automated biopsy system. Advanced computer vision algorithms analyze medical images to accurately identify suspicious regions to ensure reliable detection. When the tumor is detected, the robotic arm guided by the Raspberry Pi identifies the location for biopsy, ensuring minimal invasiveness and enhanced accuracy in tissue sample extraction. It also provides greater value for patients by ensuring accurate diagnosis with minimal hassle, as manual procedures often complicate the process. The system presented here combines robotics with medical diagnostics in a way that represents a significant step forward in the early detection of skin cancer and precise treatment, both of which are crucial for achieving favorable outcomes.