15-Day Hands-on
Internship & Skill Development Program
Integrating Machine Learning on Embedded System For Multi-Gesture Bionic Hand Control
Key Highlights
Build Your Bionic Arm
Assemble and program a functional multi-gesture bionic hand.
EMG Signal Processing
Learn muscle-signal acquisition, filtering & real-time processing.
Embedded Machine Learning
Train & deploy ML models for gesture recognition on microcontrollers.
Real-Time Gesture Control
Control the bionic arm using live EMG-based gesture predictions.
Industry-Recognized Certificate
Receive a govt-recognized internship certificate.
Full-Time Internship Chance
Top performers receive opportunities to join PixelBotix.
What You'll Learn
Introduction to Bionics & Human–Machine Interface
Understand how bionic systems interact with muscle signals and human physiology.
EMG Sensor Setup & Signal Processing
Learn electrode placement, filtering techniques, and biosignal preprocessing.
Sensor Data Acquisition & Serial Communication
Collect and visualize EMG data using microcontrollers and serial interfaces.
3D-Printed Bionic Arm Assembly
Assemble the mechanical structure and integrate servo motors with linkages.
Feature Extraction & Machine Learning Basics
Extract EMG features and train ML models to classify human hand gestures.
Real-Time Gesture Classification
Implement a live prediction pipeline that maps muscle activity to gestures.
Embedded Integration & Motor Control
Deploy ML models on embedded boards and control servo motors for each gesture.
Final Demo, Performance Tuning & Certification
Optimize your bionic arm, prepare your final presentation, and receive certification.
Who Should Attend?
Students & Scholars
All branches welcome
Industrial Professionals
& Faculty members
Entrepreneurs
& Tech Enthusiasts