Overview
Created a WebGL-based dental bracket configurator with AI tooth segmentation for orthodontists. System imports 3D jaw scans, segments individual teeth using AI, automatically places brackets based on FDI indices, and generates support jigs for installation. Includes predictive tooth movement simulation and automated jig generation for 3D printing.
Key Features
AI tooth segmentation (15-second processing)
Automatic bracket placement by FDI index
Intelligent bracket base curvature for force distribution
Tooth rotation simulation (predictive view)
Multi-stage support jig generation (3-4 teeth per jig)
Boolean operations for precise jig-tooth fitting
STL export for 3D printing (SLA, dental resin)
Orthographic views and occlusal contact visualization
Architecture
S3-hosted static WebGL application, external AI segmentation API (PyTorch-based, GPU server), AWS Lambda for serverless processing, procedural jig mesh generation with spline algorithms, manifold mesh Boolean operations.
Technology Stack
Detailed technical blog post coming soon. This project showcases production-grade architecture and real-world problem solving.