Developed a gesture-based drone control feature for the OpenHUTB/nn repository, focusing on intuitive dual-hand interaction and real-time responsiveness. Leveraging Python and OpenCV, the solution replaced MediaPipe with a custom skin detection pipeline, enabling the left hand to control direction and the right hand to adjust altitude. Gesture intensity grading was introduced by mapping finger angles and palm openness to movement magnitude, enhancing control precision and user experience. The work emphasized robustness, maintainability, and production readiness, with no major bugs reported. This approach reduced external dependencies, streamlined deployment, and improved the flexibility of gesture recognition for drone control applications.