BoneHost
BoneHost is a high-performance interactive platform for 3D human bone analysis. Developed from my diploma thesis on statistical shape analysis, it combines GPU-accelerated WebGL (Unity) with a machine learning backend. The system operates entirely browser-based, providing an intuitive research environment for medical and anatomical studies.
- Serves as a high-performance, bare-metal foundation for the entire BoneHost ecosystem.
- Orchestrates the core runtime environments, including C++ compilers, web servers, and container daemons.
- Facilitates the modular execution of backend services, WebGL components, and ML modules.
- Enhances system reliability and maintainability through strict service isolation.
Orchestration via Docker Compose
- Manages complex service dependencies via unified, declarative configuration.
- Standardizes deployment workflows, ensuring parity between development and production.
- Delivers low-latency, hardware-accelerated 3D visualization directly in the browser.
- High-fidelity interactivity (rotation, scaling, selection) is powered by optimized C# logic.
- Linear Algebra: Essential framework for coordinate transformations and statistical shape analysis.
- Logistic Regression: Core classification logic for predicting ancestry based on osteological features.




