A structured API orchestration project demonstrating deterministic client–server boundaries, third-party data normalization, and service-layer abstraction within a Vue 3 + Node.js architecture.
Originally built to explore clean separation of concerns and real-time data integration patterns that later informed AI workflow and systems orchestration work.
This project emphasizes:
- Strict client–server separation
- Deterministic data transformation layers
- Third-party API normalization
- Service abstraction for controlled external integration
- Scalable SPA routing patterns
While not AI-based, the system design principles mirror production AI integration patterns: bounded execution, structured data flow, and controlled external dependency handling.
- Composition API–driven modular component architecture
- Route-driven regional segmentation
- Dedicated service layer for backend communication
- Stateless UI rendering based on normalized API responses
- Responsive UI built with Tailwind CSS
- RESTful region-based endpoints
- Encapsulated Google Places API integration
- Data transformation and normalization layer
- Controlled exposure of third-party data to client
- User selects geographic region
- Frontend service layer invokes backend endpoint
- Backend queries Google Places API
- Raw third-party response is normalized
- Structured payload returned to client
- UI renders deterministic region-based activity data
This design highlights:
- External API encapsulation
- Clean transformation boundaries
- Separation between presentation and integration layers
Deployed on Render with environment-based configuration and secure API key handling.
Vue 3 · Composition API · Node.js · Express · Google Places API · Tailwind CSS · REST Architecture · Service Abstraction Patterns