Developed a vision-driven hand gesture control feature for the OpenHUTB/nn repository, enabling drone operation through real-time image processing. The work replaced a MediaPipe dependency with an OpenCV-based approach, utilizing skin color detection and contour analysis to recognize multiple hand gestures. This included implementing left and right palm gestures for directional movement, a fist gesture for takeoff, rotation control, and three-finger recognition. The solution was integrated into a reusable gesture-control pipeline, streamlining deployment and improving robustness. The project leveraged Python, OpenCV, and computer vision techniques to deliver a flexible, dependency-light method for gesture-based drone control and interaction.