BookTracker is a full-stack web application for managing a personal book collection. It demonstrates end-to-end development, including backend API design, database integration, and frontend UI implementation.

• Backend: ASP.NET Core Web API, Entity Framework Core, SQLite
• Frontend: Vue 3, TypeScript, Tailwind CSS
• Testing: xUnit (backend unit tests)
• Tools: Git, GitHub, Visual Studio Code

• Full CRUD functionality: Add, view, edit, and delete books
• Persistent storage: Data stored in SQLite database via Entity Framework Core
• Responsive UI: Dynamic frontend built with Vue and Tailwind
• API integration: Frontend communicates with backend via RESTful endpoints
• Automated testing: Unit tests validate backend logic and data integrity

• Full-stack development and end-to-end application design
• Designing and implementing RESTful APIs
• Database modeling and querying with Entity Framework Core
• Frontend state management and dynamic rendering with Vue 3
• Writing maintainable, testable code using professional practices

Frontend

# Navigate to frontend folder
cd frontend

# Install dependencies
bun install

# Build
bun run build

Backend

# Navigate to backend folder
cd backend

# Restore .NET packages
dotnet restore

# Apply EF Core migrations
dotnet ef database update

# Run backend API
dotnet run

Default API URL: https://localhost:5001/api/books

Visit http://localhost:5173 (or your terminal output) to see the app.

The application exposes REST API endpoints:

The application exposes REST API endpoints:

• GET /api/books - Get all book items
• GET /api/books/{id} - Get book item by ID
• POST /api/books - Create new book item
• PUT /api/books/{id} - Update book item
• DELETE /api/books/{id} - Delete book item

• Structured development using Git branches and commits
• Documentation of setup, usage, and architecture
• Separation of frontend and backend concerns, reflecting real-world full-stack projects
• Implementation of automated unit tests for backend endpoints

• Commit EF Core migration scripts but do not commit the SQLite database file
• The database will be automatically created with seeded data on the first run