Robotic shoe sorter with real-time AI vision

• Programmed 3 CNNs on Edge Impulse with 85–95% accuracy for detection/classification.
• Deployed on Arduino hardware; completed full pick‑stack cycle under 90 seconds.
• Advanced to California State Science Fair.
• Tech: Edge Impulse, Arduino, Computer Vision.