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Enterprise-grade university management system backend built with Spring Boot 3.2, Java 17, and modern architecture patterns. Features JWT authentication, role-based access control, multi-level caching, async processing, and comprehensive testing. Demonstrates advanced Java concepts, microservice-ready design, and production deployment strategies.

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SatvikPraveen/SmartCampus

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SmartCampus Backend - University Management System

License: MIT Java Version Spring Boot Code Coverage

A comprehensive Smart Campus Management System backend built with modern Spring Boot architecture, providing enterprise-grade RESTful APIs for managing academic institutions' complete operations. This system demonstrates advanced Java programming concepts, Spring Boot best practices, design patterns, and production-ready deployment strategies.

πŸ—οΈ Architecture Overview

SmartCampus follows a modern layered architecture with clear separation of concerns:

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                        Presentation Layer                               β”‚
β”‚              (REST Controllers + OpenAPI Documentation)                 β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚                         Service Layer                                   β”‚
β”‚           (Business Logic + Transaction Management + Caching)           β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚                       Repository Layer                                  β”‚
β”‚              (Data Access + JPA Repositories + Queries)                 β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚                        Domain Layer                                     β”‚
β”‚                  (JPA Entities + Domain Models)                         β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚                     Infrastructure Layer                                β”‚
β”‚         (Database + Cache + External APIs + File System)                β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

πŸš€ Key Features

Core Academic Management

  • Student Lifecycle Management: Complete student management from admission to graduation
  • Course Management: Course creation, scheduling, prerequisite handling, and capacity management
  • Enrollment System: Automated enrollment with real-time availability and waitlist management
  • Grading System: Flexible grading schemes, assignment tracking, and GPA calculation
  • Department Management: Academic department organization and faculty assignment

Advanced System Features

  • Multi-Role Authentication: JWT-based authentication with role-based access control (Students, Faculty, Admin)
  • Audit Trail: Complete audit logging for compliance and security monitoring
  • Caching Strategy: Multi-level caching with in-memory and distributed cache
  • Concurrent Processing: Async operations for bulk enrollment and notifications
  • Event-Driven Architecture: Domain events for loose coupling and scalability
  • File Management: Document upload, storage, and retrieval system

Technical Excellence

  • RESTful API Design: Well-documented APIs with OpenAPI/Swagger
  • Security Framework: Comprehensive security with input validation and SQL injection prevention
  • Performance Optimization: Database query optimization and connection pooling
  • Testing Suite: Unit, integration, and functional testing with high coverage
  • Containerization: Docker support with multi-environment configurations
  • Modern Java Features: Records, sealed classes, pattern matching, and functional programming

πŸ› οΈ Technology Stack

Core Framework

  • Spring Boot 3.2.x: Enterprise application framework
  • Spring Security: Authentication and authorization
  • Spring Data JPA: Data access with Hibernate ORM
  • Spring Cache: Caching abstraction with Redis integration

Database & Persistence

  • PostgreSQL: Primary relational database
  • Redis: High-performance caching and session storage
  • Flyway: Database migration and versioning

Documentation & Testing

  • OpenAPI 3/Swagger: Interactive API documentation
  • JUnit 5: Modern testing framework
  • TestContainers: Integration testing with real database instances
  • Mockito: Mocking framework for unit tests

Build & Deployment

  • Maven: Dependency management and build automation
  • Docker: Containerization with multi-stage builds
  • GitHub Actions: CI/CD pipeline automation

πŸ“‹ Prerequisites

  • Java 17+ (OpenJDK or Oracle JDK)
  • Apache Maven 3.8+
  • PostgreSQL 13+ (or Docker for containerized setup)
  • Git for version control

Optional but Recommended

  • Redis 6.0+ for caching
  • Docker & Docker Compose for easy setup
  • IDE with Spring Boot support (IntelliJ IDEA, Eclipse STS, VS Code)

⚑ Quick Start

Method 1: Docker Setup (Recommended)

# Clone the repository
git clone https://github.com/SatvikPraveen/SmartCampus.git
cd SmartCampus

# Start all services with Docker Compose
docker-compose up -d

# Verify services are running
docker-compose ps

# View application logs
docker-compose logs -f smartcampus-backend

Available Services:

Method 2: Local Development Setup

1. Database Setup

# Create PostgreSQL database
createdb smartcampus

# Or using Docker for database only
docker run --name smartcampus-db \
  -e POSTGRES_DB=smartcampus \
  -e POSTGRES_USER=smartcampus \
  -e POSTGRES_PASSWORD=smartcampus123 \
  -p 5432:5432 -d postgres:15

2. Application Build and Run

# Install dependencies and build
mvn clean install

# Run with development profile
mvn spring-boot:run -Dspring.profiles.active=dev

# Alternative: Run as JAR
java -jar target/smartcampus-backend.jar --spring.profiles.active=dev

3. Verification

# Check application health
curl http://localhost:8080/actuator/health

# View API documentation
open http://localhost:8080/swagger-ui.html

πŸ—οΈ Project Structure

src/
β”œβ”€β”€ main/
β”‚   β”œβ”€β”€ java/
β”‚   β”‚   β”œβ”€β”€ annotations/          # Custom annotations (@Entity, @Audited, @Cacheable)
β”‚   β”‚   β”œβ”€β”€ app/                  # Main application class
β”‚   β”‚   β”œβ”€β”€ cache/                # Caching strategies and LRU implementation
β”‚   β”‚   β”œβ”€β”€ com/smartcampus/      # Main application package
β”‚   β”‚   β”œβ”€β”€ concurrent/           # Async processing and concurrent operations
β”‚   β”‚   β”œβ”€β”€ enums/                # System enumerations (roles, status, etc.)
β”‚   β”‚   β”œβ”€β”€ events/               # Event-driven architecture implementation
β”‚   β”‚   β”œβ”€β”€ exceptions/           # Custom exception hierarchy
β”‚   β”‚   β”œβ”€β”€ functional/           # Functional programming utilities
β”‚   β”‚   β”œβ”€β”€ interfaces/           # Core system interfaces
β”‚   β”‚   β”œβ”€β”€ io/                   # File I/O and external system integration
β”‚   β”‚   β”œβ”€β”€ models/               # JPA entities and domain models
β”‚   β”‚   β”œβ”€β”€ patterns/             # Design pattern implementations
β”‚   β”‚   β”œβ”€β”€ reflection/           # Reflection-based utilities
β”‚   β”‚   β”œβ”€β”€ repositories/         # Data access layer
β”‚   β”‚   β”œβ”€β”€ security/             # Security implementation
β”‚   β”‚   β”œβ”€β”€ services/             # Business logic layer
β”‚   β”‚   └── utils/                # Utility classes and helpers
β”‚   └── resources/
β”‚       β”œβ”€β”€ application.yml       # Main configuration
β”‚       β”œβ”€β”€ config/               # External configurations
β”‚       β”œβ”€β”€ data/                 # Sample data files (CSV)
β”‚       β”œβ”€β”€ sql/                  # Database scripts and migrations
β”‚       └── templates/            # Email and report templates
└── test/
    β”œβ”€β”€ java/
    β”‚   β”œβ”€β”€ functional/           # End-to-end tests
    β”‚   β”œβ”€β”€ integration/          # Integration tests
    β”‚   └── unit/                 # Unit tests
    └── resources/
        β”œβ”€β”€ fixtures/             # Test fixtures and mock data
        └── test-data/            # Test-specific data files

πŸ” Security Features

Authentication & Authorization

  • JWT Token-based Authentication: Stateless authentication with refresh tokens
  • Role-Based Access Control (RBAC): Multi-level authorization (STUDENT, FACULTY, ADMIN)
  • Method-Level Security: Fine-grained access control with @PreAuthorize and @PostAuthorize
  • Password Security: BCrypt hashing with configurable strength

Data Protection

  • Input Validation: Comprehensive validation using Bean Validation API
  • SQL Injection Prevention: Parameterized queries and JPA protection
  • XSS Protection: Input sanitization and output encoding
  • CORS Configuration: Configurable cross-origin resource sharing

Audit & Compliance

  • Audit Trail: Automatic auditing of all entity changes
  • Security Event Logging: Authentication attempts, access violations, and security events
  • Data Retention: Configurable data retention policies

πŸš€ Performance Features

Caching Strategy

  • Multi-Level Caching: L1 (Caffeine) + L2 (Redis) caching
  • Cache Abstraction: Spring Cache with configurable TTL and eviction policies
  • Query Result Caching: Database query result caching for improved performance

Database Optimization

  • Connection Pooling: HikariCP for high-performance connection management
  • Query Optimization: Optimized JPA queries with fetch strategies
  • Database Migrations: Versioned database schema management with Flyway

Async Processing

  • Concurrent Operations: Async processing for bulk operations and notifications
  • Thread Pool Management: Configurable thread pools for different operation types
  • Batch Processing: Efficient bulk data processing capabilities

πŸ“Š Monitoring & Observability

Health Checks

  • Actuator Endpoints: Comprehensive health monitoring endpoints
  • Custom Health Indicators: Database, cache, and external service health checks
  • Readiness and Liveness Probes: Kubernetes-ready health probes

Metrics & Logging

  • Application Metrics: Performance metrics with Micrometer
  • Structured Logging: JSON-formatted logs for production environments
  • Audit Logging: Complete audit trail for compliance requirements

πŸ§ͺ Testing Strategy

Test Coverage

  • Unit Tests: Service and utility class testing with Mockito
  • Integration Tests: Repository and API endpoint testing with TestContainers
  • Functional Tests: End-to-end workflow testing
  • Performance Tests: Load testing and concurrent operation testing

Test Commands

# Run all tests
mvn clean test

# Run specific test categories
mvn test -Dtest="*Test"              # Unit tests
mvn test -Dtest="*IT,*Integration*"  # Integration tests
mvn test -Dtest="*Functional*"       # Functional tests

# Generate coverage report
mvn test jacoco:report

πŸ“ Configuration Management

Application Profiles

  • Development (dev): H2 database, debug logging, hot reload
  • Test (test): TestContainers, isolated test database
  • Production (prod): PostgreSQL, optimized settings, security hardening

Environment Variables

# Database Configuration
export DB_HOST=localhost
export DB_PORT=5432
export DB_NAME=smartcampus
export DB_USERNAME=smartcampus
export DB_PASSWORD=your_password

# Security Configuration
export JWT_SECRET=your-jwt-secret-key
export JWT_EXPIRATION=86400000

# Cache Configuration
export REDIS_HOST=localhost
export REDIS_PORT=6379

πŸ”„ API Documentation

Core Endpoints

Authentication

POST /api/auth/login          # User authentication
POST /api/auth/refresh        # Token refresh
POST /api/auth/logout         # User logout

User Management

GET    /api/users             # List users (paginated)
GET    /api/users/{id}        # Get user by ID
POST   /api/users             # Create new user
PUT    /api/users/{id}        # Update user
DELETE /api/users/{id}        # Delete user

Academic Management

GET    /api/students          # List students
POST   /api/students          # Create student
GET    /api/courses           # List courses
POST   /api/courses           # Create course
POST   /api/enrollments       # Enroll student
GET    /api/grades            # Get grades
POST   /api/grades            # Submit grade

Interactive Documentation

Access the Swagger UI at: http://localhost:8080/swagger-ui.html

🐳 Docker Deployment

Development Environment

# Start development environment
docker-compose -f docker-compose.dev.yml up -d

# View logs
docker-compose logs -f smartcampus-backend

Production Deployment

# Build production image
docker build -t smartcampus/backend:latest .

# Deploy production environment
docker-compose -f docker-compose.yml up -d

# Scale application
docker-compose up --scale smartcampus-backend=3

🎯 Design Patterns Implemented

Creational Patterns

  • Builder Pattern: Complex object construction (CourseBuilder, StudentBuilder)
  • Factory Pattern: Service instantiation (ServiceFactory, UniversityFactory)
  • Singleton Pattern: Configuration management (DatabaseConnection)

Structural Patterns

  • Repository Pattern: Data access abstraction
  • Adapter Pattern: External service integration (AdapterService)
  • Facade Pattern: Service layer abstraction

Behavioral Patterns

  • Observer Pattern: Event-driven architecture (EventManager)
  • Strategy Pattern: Caching strategies and algorithms
  • Command Pattern: Operation encapsulation (CommandProcessor)
  • Template Method Pattern: Common processing workflows

πŸ”§ Development Guidelines

Code Style

  • Follow Java naming conventions
  • Use meaningful variable and method names
  • Implement proper error handling
  • Write comprehensive JavaDoc for public APIs
  • Maintain consistent code formatting

Testing Requirements

  • Minimum 85% code coverage
  • Unit tests for all service methods
  • Integration tests for API endpoints
  • Functional tests for critical workflows

Git Workflow

# Create feature branch
git checkout -b feature/your-feature-name

# Make changes and commit
git add .
git commit -m "feat: add new feature description"

# Push and create pull request
git push origin feature/your-feature-name

🀝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Setup

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests for new functionality
  5. Ensure all tests pass
  6. Submit a pull request

Code Review Process

  • All contributions require code review
  • Automated CI/CD pipeline validation
  • Manual testing verification
  • Documentation updates when needed

πŸ“ˆ Performance Benchmarks

  • Application Startup: < 45 seconds
  • Average Response Time: < 150ms (95th percentile < 500ms)
  • Throughput: 2,000+ requests/second
  • Memory Usage: 512MB baseline, 1.5GB under load
  • Database Connection Pool: 50 connections, 60% average utilization

πŸ—ΊοΈ Roadmap

Version 1.1 (Upcoming)

  • GraphQL API implementation
  • Real-time notifications with WebSocket
  • Advanced search with Elasticsearch
  • Mobile API optimizations
  • Enhanced bulk operations

Version 1.2 (Future)

  • Machine Learning integration for recommendations
  • Advanced analytics and reporting
  • Multi-tenant support
  • Microservices architecture migration
  • OAuth2 integration

πŸ› Troubleshooting

Common Issues

Application won't start

# Check port availability
lsof -i :8080

# Check database connection
pg_isready -h localhost -p 5432

# View detailed logs
mvn spring-boot:run -X

Database connection issues

# Test database connectivity
psql -h localhost -U smartcampus -d smartcampus

# Check Docker database status
docker-compose ps postgres

Memory issues

# Increase JVM memory
export JAVA_OPTS="-Xms1g -Xmx2g"
mvn spring-boot:run

πŸ“ž Support

πŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

πŸ™ Acknowledgments

  • Spring Framework team for the comprehensive ecosystem
  • PostgreSQL community for the robust database system
  • Open source community for the incredible tools and libraries
  • All contributors and users of this project

Built with ❀️ using modern Java technologies and Spring Boot best practices.

For more information, visit: https://github.com/SatvikPraveen/SmartCampus

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Enterprise-grade university management system backend built with Spring Boot 3.2, Java 17, and modern architecture patterns. Features JWT authentication, role-based access control, multi-level caching, async processing, and comprehensive testing. Demonstrates advanced Java concepts, microservice-ready design, and production deployment strategies.

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