The Virtual Wardrobe Backend is a high-performance, scalable API built with FastAPI, Prisma, Redis, and deployed on Google Cloud Platform. It supports outfit management, virtual try-on, authentication, and more through a microservices-based architecture.
| Component | Old Stack | New Stack |
|---|---|---|
| Backend Framework | Django (sync) | FastAPI (async, OpenAPI support) |
| ORM | Django ORM | Prisma ORM (type-safe, auto-generated client) |
| Database | SQLite | PostgreSQL via Neon Serverless |
| Authentication | Django Sessions | JWT (stateless) + Google OAuth 2.0 |
| Architecture | Monolithic | Microservices |
| Caching | Not Implemented | Redis (in-memory caching) |
| Database Indexing | Not Implemented | Indexed tables for optimized query performance |
| Virtual Try-on | Not Implemented | Virtual Try-on API (Vertex AI) |
| Logging & Monitoring | Not Implemented | Grafana Loki + Dashboards for real-time monitoring |
- Asynchronous, high-performance API framework.
- Auto-generates OpenAPI (Swagger) docs.
- Fast response times and better scalability.
- Type-safe and auto-generated client.
- Simple schema definitions and DB migrations.
- Clean data modeling for users, items, and outfit combinations.
- Replaces SQLite with serverless PostgreSQL for scalability.
- Auto-scaling capabilities to handle fluctuating traffic.
- Speeds up browsing and reduces backend load.
- Cached filters, outfits, and frequently queried data.
- Cloud VMs for compute.
- Cloud Storage for static/media assets.
- Enables CI/CD and scalable deployments.
- Stateless JWT-based authentication.
- Integrated Google OAuth 2.0 for SSO.
- Scalable and secure.
- Powered by the virtual try-on API provided by Vertex AI.
- Users can visualize outfits directly in the app.
- Real-time logs and system health monitoring.
- Debug and analyze across microservices.
- Microservices-based design for modularity and scalability.
- Stateless services with dedicated caching, logging, and storage layers.
- Cloud-optimized deployment with environment-based configurations.
- 40% faster API responses via async FastAPI and Redis caching.
- Improved data management with Prisma and PostgreSQL.
- Seamless authentication and smoother login flows.
- Better debugging and monitoring with centralized logging.
If you're interested in exploring or contributing to the project:
- 📬 Connect on LinkedIn
- 💻 View the full codebase on GitHub