AI e-commerce virtual try-on fashion image processing FastAPI
Virtual Try-On — AI Fashion Platform
Full-Stack (FastAPI + Next.js)
Screenshots coming soon
About
Full-stack AI-powered virtual try-on platform for e-commerce — enabling customers to visualize clothing using image processing, with async task queues and real-time WebSocket updates.
My Role
Built the complete platform: FastAPI backend with SQLAlchemy ORM, Celery task queue for background image processing, Alembic migrations, and Next.js 14 frontend.
Core Capabilities
- AI-powered virtual clothing try-on with image processing
- Async task queue with Celery and Redis for background jobs
- Real-time WebSocket updates for processing status
- Database migrations with Alembic version control
- Product scraping module for catalog building
- Multipart form handling for image uploads
Architecture
- Python FastAPI with async HTTPX and WebSocket support
- SQLAlchemy ORM with PostgreSQL via psycopg2
- Celery with Redis backend for task processing
- Alembic for database migration management
- Next.js 14 with TypeScript frontend
Tech Stack
Python FastAPI SQLAlchemy PostgreSQL Celery Redis Next.js TypeScript Alembic