Ar Engine For Fashion Ecommerce

A comprehensive virtual try-on solution that combines computer vision, machine learning, and augmented reality to enable realistic clothing visualisation. The platform consists of:

Core Technology:

• Advanced pose estimation using MediaPipe for accurate body tracking
• Deep learning segmentation models (DeepLabV3) for precise person masking
• 3D garment reconstruction from 2D images using neural networks
• Real-time AR compositing with dynamic lighting and material mapping
• Continuous learning system that improves accuracy over time

Architecture:

• FastAPI backend with PostgreSQL database and Redis caching
• Separate ML service for scalable AI processing (supports GPU acceleration)
• React dashboard for brand management and analytics
• TypeScript SDK for easy integration into mobile apps and websites
• Docker containerised deployment with production-ready configuration

Key Features:

• Virtual try-on with confidence scoring and quality prediction
• 3D garment modelling and material property analysis
• Real-time progress tracking and WebSocket updates
• Multi-platform SDK with React Native components
• Stripe payment integration and usage analytics
• Brand dashboard with garment management and performance metrics

Business Model:

• API-based pricing with usage limits and analytics
• White-label SDK for e-commerce platforms
• Enterprise solutions with custom integrations
• Subscription tiers for different usage volumes

The system is production-ready with comprehensive error handling, monitoring, and a scalable microservices architecture suitable for high-volume e-commerce applications.