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Rapid Prosthetics Manufacturing System (Ongoing Project)

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Arjun

Project Timeline

Sep 2025 - Current

OVERVIEW

Developing a low-cost, AI-assisted prosthetic design system that leverages custom-built LiDAR scanning and machine learning to automate prosthetic fitting and generation. The system scans a user’s residual limb, analyzes its geometry through point cloud processing, and generates a fully customized prosthetic model using generative CAD techniques.

HighlightS

  • Scanning: Use a cost-efficient LiDAR setup to capture accurate 3D scans of a user’s residual limb.
  • Analysis: Process point cloud data to extract surface curvature, volume, and attachment zones using machine learning classification models.
  • Design: Implement a generative CAD system in Fusion 360 that automatically builds prosthetic socket geometries tailored to individual limb profiles.
  • Manufacturing: Produce and test prototypes using 3D-printed biocompatible materials to ensure comfort, fit, and functional range of motion.

SKILLS

Raspberry Pi / ESP32Custom LiDAR ModulePythonOpen3DTensorFlowCAD Generative DesignPoint Cloud Processing3D Printing
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Arjun

Mechatronics Engineering Student & Innovator

I am a mechatronics engineering student at Toronto Metropolitan University with hands-on manufacturing experience at ABS Machining. I specialize in precision manufacturing, CNC operations, and CAD design while leading sustainability initiatives and student organizations. My technical expertise spans programming, 3D modeling, and complex assembly design, complemented by strong project management and leadership skills developed through various student leadership roles.

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