Gesture - Controlled Robotic Arm Using Machine Learning (MPU6050 + Raspberry pi)
This project is a real-time gesture-controlled robotic arm built using a Raspberry Pi, MPU6050 sensor, and Python. A custom machine learning model classifies hand movements to control servo motors, enabling intuitive physical interaction.
ML Model: Trained using sensor data and scikit-learn (Random Forest)
Hardware: Raspberry Pi, MPU6050, PCA9685, MG90S servos
Features: Real-time gesture prediction, responsive servo movement
Goal: Build ML-powered robotics skills for research + internships
GitHub Repository: https://github.com/MusaE5/Gesture-con...
LinkedIn: / musa-elashaal-592692320
Thanks for watching. If you’re working on anything similar or want to collaborate, feel free to reach out.