In response to the increasing number of individuals with disabilities, particularly amputees, we have developed a low-cost, adaptable bionic arm that addresses the challenges of functionality, sensation, and social integration. The system comprises a 3D-printed bionic hand, neural amplifier, Arduino Nano, electromyography (EMG) electrodes, Raspberry Pi, camera, and five motors. The Myoware EMG sensor detects muscle-generated electrical signals, which are amplified by the neural amplifier and processed by the Arduino Nano to control the motors that actuate the bionic arm. A Raspberry Pi, equipped with a camera, captures visual data to provide real-time viewpoint detection, enabling precise control of the arm’s movements. By integrating both sensor data and visual input, the system enhances responsiveness and allows for more accurate object manipulation. This project represents a significant advancement in prosthetics through the combination of 3D printing and sophisticated electronics, offering amputees a practical, customizable, and cost-effective solution to improve their quality of life.