Project Architecture
A comprehensive look at the technical decisions, architecture patterns, and development process behind this AI-powered background removal application.
Technical Overview
Modern Full-Stack
Built with Next.js 15, TypeScript, and Tailwind CSS 4 for the frontend, FastAPI with Python for AI processing, showcasing modern development practices and cutting-edge technologies.
AI Integration
Implements the rembg machine learning model for background removal, demonstrating AI/ML integration in a production web application with real-time processing capabilities.
System Architecture
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Frontend │ │ Next.js API │ │ │
│ (Vercel) │───▶│ Routes │───▶│ Hostinger VPS │
│ • Next.js 15 │ │ • Auth │ │ (KVM1) │
│ • TypeScript │ │ • Quotas │ │ │
│ • Tailwind │ │ • Azure SDK │ │ ┌─────────────┐ │
│ • NextAuth │ │ • SAS URLs │ │ │ FastAPI │ │
└─────────────────┘ └─────────────────┘ │ │ • rembg AI │ │
│ │ │ • Processing│ │
│ │ │ • Endpoints │ │
│ │ └─────────────┘ │
│ │ │ │
│ │ ┌─────────────┐ │
└─────────────┼─▶│ PostgreSQL │ │
│ │ (Docker) │ │
│ │ • Users │ │
│ │ • Quotas │ │
│ │ • Images │ │
│ └─────────────┘ │
└─────────────────┘
│ │
│ ▼
│ ┌─────────────────┐
└─────────────│ Azure Blob │
│ Storage │
Data Flow: │ • Images │
1. Frontend ───▶ API Routes │ • Secure SAS │
2. API Routes ──▶ FastAPI (processing) │ • CDN Ready │
3. API Routes ──▶ Azure (storage) └─────────────────┘
4. API Routes ──▶ Frontend (SAS URLs)Key Technical Decisions
Architecture Pattern: API Proxy Design
Decision: Use Next.js API routes as middleware between frontend and FastAPI
Rationale: Separates concerns, allows for authentication/quota management in Next.js while keeping ML processing isolated in FastAPI. Provides better security and scalability.
Benefits: Clean separation, easier testing, independent scaling, security layers
Database Strategy: PostgreSQL + Prisma ORM
Decision: PostgreSQL with Prisma for type-safe database operations
Rationale: Robust ACID compliance for user data, excellent TypeScript integration, migration management, and production-ready performance.
Implementation: User management, quota tracking, image metadata, audit trails
Authentication: NextAuth.js with Google OAuth
Decision: Social authentication with session management
Rationale: Reduces friction for users, industry-standard security, handles complex OAuth flows, supports multiple providers.
Features: Anonymous usage, authenticated galleries, quota management
Deployment: Strategic Multi-Cloud Architecture
Decision: Vercel (frontend) + Hostinger VPS (backend+database) + Azure (storage)
Rationale: FastAPI + PostgreSQL co-located on VPS for performance, Azure storage accessed only through API routes for security, frontend never directly accesses storage. Cost-effective while maintaining security best practices.
Benefits: Secure access control, SAS URL generation, low latency (co-located services), centralized authentication, audit trails
Skills Demonstrated
Frontend Development
- • Modern React with Hooks
- • TypeScript for type safety
- • Responsive design patterns
- • State management
- • Component architecture
Backend Development
- • REST API design
- • Python/FastAPI expertise
- • Authentication systems
- • File processing
- • Error handling
Database Design
- • Schema design
- • Relationships & indexing
- • Migration management
- • Query optimization
- • Data modeling
Cloud & DevOps
- • Multi-cloud deployment
- • Docker containerization
- • VPS management
- • CI/CD practices
- • Monitoring & logs
AI/ML Integration
- • Model integration
- • Image processing
- • Performance optimization
- • Error handling
- • Real-time processing
Security & Performance
- • Authentication flows
- • API security
- • Rate limiting
- • Data validation
- • Performance optimization
Development Process
Development Methodology
- Co-located Architecture: FastAPI + PostgreSQL on same VPS for optimal performance
- API-First Design: Clean separation between ML processing and business logic
- Docker Deployment: Containerized PostgreSQL with persistent volumes
- Production-Ready: VPS automation scripts, error handling, monitoring
Performance Optimizations
- Image Processing: Optimized ML pipeline with caching
- Database Queries: Indexed queries and connection pooling
- Frontend: Code splitting and lazy loading
- CDN Integration: Azure Blob Storage with SAS URLs
Project Evolution
This project serves as a comprehensive demonstration of modern full-stack development skills, showcasing proficiency in current industry technologies and best practices. The architecture is designed to be scalable and maintainable, suitable for both portfolio demonstration and potential production deployment.
Potential Enhancements
• Advanced AI models integration
• Real-time collaboration features
• Advanced image editing tools
• Premium subscription tiers
• Batch processing capabilities
• Enterprise API access
Interested in the technical details?
View the complete source code and documentation
Let's Connect!
Interested in collaborating on a project? Have questions about this implementation? I'd love to discuss development opportunities and technical challenges.