⚙️ Technology OverviewProgramming Languages & Frameworks

• Rendering: C++ for performance, WebGL/Three.js for in-browser 3D, Python for machine learning.
• API: Node.js and TypeScript enable scalable, async backend logic. Supports both GraphQL and REST.
• Data: Postgres for reliability; Python powers data pipelines and ML tasks.

3D Engine Architecture

• Scene Management: Modular design using a custom SceneManager.
• Shader System: Flexible loading via ShaderLoader and MaterialFactory.
• Visual Effects: Post-processing stack built with EffectsPipeline.

AI & Virtual Try-On

• Styling AI: Combines computer vision and user preference data to generate personalized outfits.
• Virtual Avatar: Users try outfits on lifelike digital mannequins.
• Physics-Based Fit: Realistic cloth simulation and pose estimation benchmarked for sub-centimeter accuracy.

Testing & Automation

• Test Coverage: Automated unit, integration, and E2E tests (85%+ coverage).
• Golden-Image Regression: Detects rendering drifts in outfit visuals.
• QA Automation: Cross-browser WebGL compatibility checks in CI.

Performance & Optimization

• Render Speed: Sub-1s outfit load time via CDN delivery, asset prefetching, and GPU caching.
• Profiling Tools: Monthly performance reviews using advanced profilers.
• Deterministic Output: Reproducible rendering with fixed drivers and seed control.

Deployment & Infrastructure

• Microservices Architecture: Auto-scales via Kubernetes with high availability.
• CI/CD: Robust pipelines with GPU-powered runners and containerized builds.
• Zero-Downtime Updates: Canary releases and shadow-table migrations ensure smooth rollouts.

Privacy & Compliance

• Data Protection: Encrypted in transit and at rest.
• Compliance: Designed with GDPR/CCPA and SOC 2 alignment in mind.
• User Image Control: Automatic deletion lifecycle for uploaded media.

Security & Monitoring

• Secure Development: Static analysis and dependency scanning integrated into CI.
• Monitoring: Latency, error rates, and render metrics tracked in real time.
• Content Moderation: AI filters flag inappropriate uploads.

System Scalability

• Concurrent Capacity: Currently supports 10,000+ users with horizontal scaling roadmap.
• Latency Management: Smart queuing and real-time load balancing.
• Multi-Tenant Ready: Logical and database-level isolation for enterprise partners.

Ecosystem & Integration

• Retail Integration: Seamlessly connects to Shopify, Magento, and BigCommerce.
• Widget Configuration: Merchants customize placement and behavior of the StyleSync widget.
• White-Label API: Fully isolated tenant environments for B2B partners.