Published Paper Details:

The development of bionic hands has significantly improved the quality of life for individuals with limb loss by restoring essential hand functions. This project presents a bionic hand controlled using vision and voice recognition technologies, offering a more natural and intuitive mode of interaction. The system integrates computer vision to identify objects and determine the appropriate grip type, while voice commands allow the user to control hand movements such as opening, closing, or selecting specific gestures. The hand is powered by microcontrollers, servo motors, and sensors, ensuring precise motion and feedback. By combining artificial intelligence with human-machine interaction, this design enhances the usability, flexibility, and accessibility of prosthetic devices. The proposed model demonstrates how vision and voice-based control can make prosthetic hands more responsive, user-friendly, and adaptive to real-world environments