
Top 10 Spring Boot Projects To Destroy The Competition
In this blog, we'll dive into a curated list of Spring Boot projects tailored for different experience levels: beginners, college students (medium-level), and working professionals (advanced).

Anuj Kumar Sharma
August 22, 2025
14 min read
Building real-world projects is one of the best ways to showcase your skills, demonstrate problem-solving abilities, and stand out to recruiters. In this blog, we'll dive into a curated list of Spring Boot projects tailored for different experience levels: beginners, college students (medium level), and working professionals (advanced).
Beginner Projects: Building the Foundations#
These projects focus on core Spring Boot concepts like CRUD operations, database integration, and basic security. They're perfect for newcomers to get hands-on experience without overwhelming complexity.
Project 1: Blog Management System#
Create a simple blogging platform where users can create, read, update, and delete blog posts. Include user authentication for posting and commenting.
What You Will Learn: Fundamentals of RESTful APIs, database persistence with JPA, basic authentication, and API documentation. You'll understand how to structure a monolithic application and handle data validation.
Component | Tool | Why It Matters |
---|---|---|
Database ORM | Spring Data JPA | Simplifies database interactions by providing repository interfaces, reducing boilerplate code for CRUD operations. |
API Documentation | Swagger UI | Automatically generates interactive API docs, making it easier for developers (and recruiters) to test and understand your endpoints. |
Security | Spring Security | Handles authentication and authorization, teaching secure practices essential for any web app to prevent unauthorized access. |
Key Project Features:
- User registration and login.
- CRUD operations for blog posts and comments.
- Role-based access (e.g., admin can delete posts).
Project Challenges:
- Managing one-to-many relationships between entities (e.g., posts and comments) in JPA, which can lead to N+1 query problems if not optimized with fetch types.
- Implementing secure password hashing with BCrypt and JWT tokens for stateless authentication, requiring careful handling of token expiration and refresh mechanisms.
- Handling custom exceptions with
@ControllerAdvice
to provide meaningful error responses without exposing stack traces.
Similar to personal blogs or content management systems like WordPress, where users create and manage content securely.
Extra Mile | Tool and Tech | Impact on Recruiters |
---|---|---|
Add email notifications for new comments using Spring Mail. | Spring Boot Mail Starter, SMTP server (e.g., Gmail). | Shows initiative in integrating external services, highlighting full-stack potential. |
Deploy to Heroku or AWS with a simple CI/CD pipeline. | GitHub Actions, Docker. | Demonstrates deployment knowledge, making you stand out as deployment-ready. |
Implement unit tests with JUnit and Mockito. | JUnit 5, Mockito, Spring Boot Test. | Proves testing skills, a key requirement in professional environments. |
Add in Resume:
- Developed a secure Blog Management System using Spring Boot, handling 500+ simulated daily posts with 99% uptime; integrated Spring Data JPA and Swagger UI for efficient CRUD and API docs, reducing development time by 30%.
- Implemented role-based authentication with Spring Security and JWT, supporting 1,000 concurrent users; added email notifications via Spring Mail, enhancing user engagement by 40% in tests.
- Wrote comprehensive unit tests covering 85% code, using JUnit and Mockito, ensuring robust error handling and impressing with production-ready code quality.
Project 2: Student Management System#
Build an application to manage student records, including enrollment, grades, and courses.
What You Will Learn: Entity mapping, query optimization with JPA, and basic API design patterns.
Component | Tool | Why It Matters |
---|---|---|
Database ORM | Spring Data JPA | Enables efficient querying and pagination for large datasets like student lists. |
API Documentation | Swagger UI | Provides a user-friendly interface to explore APIs, useful for educational demos. |
Security | Spring Security | Secures sensitive data like grades, teaching role-based access control (e.g., teacher vs. student). |
Key Project Features:
- CRUD for students, courses, and enrollments.
- Search functionality by name or ID.
- Basic reporting (e.g., average grades).
Project Challenges:
- Handling many-to-many relationships (students to courses) with JPA's
@ManyToMany
annotation, avoiding duplicate entries and optimizing joins to prevent performance bottlenecks. - Ensuring data integrity during updates using
@Transactional
annotations and optimistic locking with@Version
to handle concurrent modifications. - Debugging JPA lazy loading issues with Hibernate's fetch strategies, which can cause
LazyInitializationException
if not managed in service layers.
Used in educational institutions for tracking student progress, similar to university portals.
Extra Mile | Tool and Tech | Impact on Recruiters |
---|---|---|
Integrate with a frontend like Thymeleaf for a web UI. | Thymeleaf, Bootstrap. | Shows ability to build end-to-end applications, appealing to full-stack roles. |
Add file uploads for student photos using Spring Multipart. | Spring Web MultipartFile, AWS S3 (optional). | Demonstrates handling binary data, a common real-world feature. |
Use Lombok to reduce boilerplate code. | Lombok annotations (@Data, @Builder). | Highlights clean coding practices, impressing with efficiency. |
Add in Resume:
- Engineered a Student Management System in Spring Boot, managing 10,000+ records with pagination; leveraged Spring Data JPA and Swagger for optimized queries, cutting load times by 50%.
- Secured sensitive data with Spring Security's role-based access, handling 500 users; incorporated file uploads via Multipart, boosting data richness and user interaction.
- Applied Lombok for cleaner code, achieving 90% reduction in boilerplate; tested with JUnit, ensuring scalability and reliability for educational platforms.
Project 3: Hospital Management System#
Develop a system to manage patient records, appointments, and doctor schedules.
What You Will Learn: Transactional operations, validation, and integrating multiple entities.
Component | Tool | Why It Matters |
---|---|---|
Database ORM | Spring Data JPA | Manages complex entities like patients and appointments with ease. |
API Documentation | Swagger UI | Allows quick testing of health-related APIs in a demo. |
Security | Spring Security | Protects sensitive health data, complying with privacy standards. |
Key Project Features:
- Appointment booking and cancellation.
- Patient history tracking.
- Doctor availability checks.
Project Challenges:
- Ensuring atomic transactions for bookings using Spring's
@Transactional
with propagation levels, rolling back on exceptions likeSlotUnavailableException
. - Validating input data (e.g., dates with
@Valid
and custom validators) to prevent invalid states, integrating with Bean Validation API for constraints like@Future
. - Scaling for multiple users by implementing pessimistic locking in JPA queries to avoid overbooking scenarios in high-concurrency environments.
Real-World Use Case: Hospital admin systems like those in clinics for efficient patient management.
Extra Mile | Tool and Tech | Impact on Recruiters |
---|---|---|
Add SMS notifications via Twilio API. | Twilio SDK, Spring Integration. | Integrates third-party services, showing real-world integration skills. |
Implement pagination and sorting in queries. | Spring Data Pageable, Criteria API. | Optimizes performance, key for data-heavy apps. |
Use Docker for containerization. | Docker Compose, Dockerfile. | Introduces DevOps basics, highly valued in modern teams. |
Add in Resume:
- Built a Hospital Management System with Spring Boot, processing 1,000+ appointments daily; utilized Spring Data JPA and Swagger for seamless data handling, improving query efficiency by 40%.
- Enforced data privacy with Spring Security and transactional integrity, supporting 200 concurrent sessions; added SMS alerts via Twilio, enhancing patient satisfaction scores.
- Containerized app with Docker, enabling easy deployment; achieved 95% test coverage with JUnit, demonstrating HIPAA-like compliance readiness.
Medium-Level Projects for College Students: Scaling Up Complexity#
These projects involve cloning popular apps with advanced features like caching, patterns, and integrations. Ideal for building a strong mid-level portfolio.
Project 1: Zomato Clone (Food Delivery App)#
Replicate a food ordering system with restaurant listings, orders, and admin controls.
What You Will Learn: Caching for performance, transaction management for orders, design patterns (e.g., Singleton for configs), logging/auditing, cron jobs for promotions, and payment integration.
Component | Tool | Why It Matters |
---|---|---|
Caching | Redis/Spring Cache | Reduces database hits for frequent queries like menu items, improving response times. |
Transactions | Spring Transaction Management | Ensures atomicity in order placements and payments. |
Logging/Auditing | SLF4J with Logback | Tracks user actions for debugging and compliance. |
Scheduling | Spring Scheduler | Automates tasks like daily reports or expirations. |
Payments | Stripe API | Handles secure payments, a critical e-commerce feature. |
Key Project Features:
- User/restaurant/admin APIs.
- Order tracking with real-time updates.
- Promo code application via cron.
Project Challenges:
- Managing concurrent orders with Redis distributed locks to prevent race conditions in inventory updates.
- Integrating external payment gateways like Stripe, handling webhooks for asynchronous callbacks and idempotency keys for retry safety.
Food delivery platforms handling high-volume orders daily.
Extra Mile | Tool and Tech | Impact on Recruiters |
---|---|---|
Add geolocation with Google Maps API. | Google Maps SDK, Spring WebClient. | Enhances realism, showing spatial data skills. |
Implement rate limiting with Spring. | Spring Boot Bucket4j, Redis. | Prevents abuse, demonstrating security awareness. |
Use Elasticsearch for search. | Elasticsearch Starter, Spring Data Elasticsearch. | Optimizes queries, key for scalable apps. |
Add in Resume:
- Created Zomato Clone using Spring Boot, processing 5,000+ orders/hour in simulations; integrated Redis caching and Stripe payments, slashing response times by 60%.
- Applied design patterns and Spring Scheduler for automated promotions; added geolocation via Google Maps, improving delivery accuracy in tests.
- Ensured logging with SLF4J and rate limiting, handling 1,000 users; achieved 80% faster searches with Elasticsearch, showcasing scalable e-commerce expertise.
Project 2: Uber Clone (Ride-Sharing App)#
Create a ride-booking system with driver matching, fares, and admin dashboards.
What You Will Learn: System design patterns (e.g., Observer for notifications), architectural patterns like layered architecture, caching for locations, transactions for bookings.
Component | Tool | Why It Matters |
---|---|---|
Caching | Ehcache | Caches driver locations for quick matching. |
Transactions | Spring Transaction Management | Manages fare calculations and payments atomically. |
Logging/Auditing | Log4j | Audits ride histories for safety and disputes. |
Scheduling | Quartz Scheduler | Schedules maintenance notifications. |
Payments | PayPal API | Secures transactions in a trust-sensitive app. |
Key Project Features:
- Real-time ride requests.
- Admin APIs for driver verification.
- Fare estimation.
Project Challenges:
- Handling geospatial data with libraries like GeoTools or custom Haversine formula in queries, optimizing for nearest driver searches.
- Ensuring transaction isolation levels (e.g.,
SERIALIZABLE
) to prevent phantom reads during fare updates in distributed environments. - Scaling for peak hours by implementing circuit breakers to manage service failures and avoid cascading errors.
Extra Mile | Tool and Tech | Impact on Recruiters |
---|---|---|
Integrate WebSockets for live tracking. | Spring WebSocket, STOMP. | Adds real-time capabilities, highly sought after. |
Use circuit breakers with Resilience4j. | Resilience4j, Spring Cloud. | Shows fault-tolerance knowledge. |
Add ML for surge pricing simulation. | Spring AI, TensorFlow Lite. | Introduces AI, broadening your skill set. |
Add in Resume:
- Developed Uber Clone in Spring Boot, matching 2,000+ rides/minute; used Ehcache for location data and PayPal for secure payments, reducing latency by 45%.
- Implemented Observer pattern and Quartz for notifications; integrated WebSockets for real-time tracking, elevating user experience.
- Added Resilience4j for fault tolerance and ML surge pricing, supporting 500 drivers; impressed with 90% uptime in load tests.
Project 3: Airbnb Clone (Vacation Rental App)#
Build a listing platform for properties, bookings, and host management.
What You Will Learn: Patterns like Factory for object creation, caching for listings, and auditing for bookings.
Component | Tool | Why It Matters |
---|---|---|
Caching | Caffeine | Speeds up property searches. |
Transactions | Spring Transaction Management | Handles booking conflicts. |
Logging/Auditing | SLF4J | Logs user interactions for reviews. |
Scheduling | Spring Task | Cleans up expired listings. |
Payments | Stripe | Processes secure deposits. |
Key Project Features:
- Property search and booking.
- Host admin panels.
- Review system.
Project Challenges:
- Syncing calendars for availability using
iCalendar
format or custom cron jobs, preventing double bookings with optimistic concurrency control. - Managing multi-currency payments with exchange rate APIs, ensuring precision with BigDecimal to avoid floating-point errors.
- Maintaining data consistency across users via distributed caching invalidation strategies.
Extra Mile | Tool and Tech | Impact on Recruiters |
---|---|---|
Add image uploads with AWS S3. | AWS SDK, Spring Cloud AWS. | Handles cloud storage, modern tech stack. |
Implement i18n for multi-language. | Spring Messages, ResourceBundle. | Shows global app design. |
Use GraphQL for flexible APIs. | Spring GraphQL, Apollo. | Advanced API tech, impressive for mid-level. |
Add in Resume:
- Engineered Airbnb Clone with Spring Boot, listing 10,000+ properties; employed Caffeine caching and Stripe for bookings, boosting search speed by 55%.
- Used Factory pattern and Spring Task for maintenance; added AWS S3 image uploads, enriching listings with multimedia.
- Supported i18n and GraphQL for flexible queries, handling global users; achieved 85% faster API responses, highlighting international scalability.
Project 4: Banking Application#
Develop a basic banking system with accounts, transfers, and admin oversight.
What You Will Learn: Secure transactions, auditing for compliance, schedulers for interest calculations.
Component | Tool | Why It Matters |
---|---|---|
Caching | Redis | Caches account balances for quick access. |
Transactions | Spring Transaction Management | Ensures ACID properties in transfers. |
Logging/Auditing | Logback | Records all financial activities for audits. |
Scheduling | Cron Jobs in Spring | Automates monthly statements. |
Payments | PayPal/Stripe | Simulates fund transfers securely. |
Key Project Features:
- Account creation and transfers.
- Transaction history.
- Admin fraud detection.
Project Challenges:
- Implementing high-security with encryption (e.g., AES for data at rest) and secure random number generation for tokens.
- Handling decimal precision in monetary values using Money API or BigDecimal, avoiding rounding errors in calculations.
- Ensuring compliance by integrating audit logs with timestamps and immutable records using AspectJ for AOP.
Online banking apps for daily finance management.
Extra Mile | Tool and Tech | Impact on Recruiters |
---|---|---|
Add two-factor auth with Spring. | Spring Security OAuth, TOTP. | Enhances security, critical for fintech. |
Integrate with external APIs for currency exchange. | Fixer API, Spring RestTemplate. | Shows integration prowess. |
Use blockchain simulation for ledgers. | Hyperledger Fabric (simulated), Spring Integration. | Futuristic touch, stands out in interviews. |
Add in Resume:
- Built Banking Application in Spring Boot, managing $1M simulated transactions; utilized Redis caching and Spring Transactions for ACID compliance, minimizing errors to 0.1%.
- Incorporated Logback auditing and cron jobs for statements; added 2FA with Spring Security, strengthening fraud prevention.
- Integrated currency APIs and blockchain sim, supporting multi-currency; delivered 95% audit accuracy, positioning as fintech innovator.
Advanced Projects for Working Professionals: Enterprise-Level Mastery#
These are microservice-based projects with scalability in mind, using Kubernetes, Kafka, and more. Perfect for showcasing production-ready skills.
Project 1: BookMyShow Clone (Ticket Booking System)#
Build a microservices architecture for movie/event ticketing, with services for users, bookings, payments, and notifications.
What You Will Learn: Microservices design, Kubernetes deployment, Kafka for messaging, observability with Prometheus/Grafana, logging (ELK stack), auditing, inter-service communication via REST/gRPC.
Key Project Features:
- Scalable services handling millions of users.
- Real-time seat locking with Kafka.
- Distributed transactions.
- Observability dashboards.
Component | Tool | Why It Matters |
---|---|---|
Orchestration | Kubernetes | Automates deployment and scaling for high availability. |
Messaging | Kafka | Enables asynchronous communication for notifications and events. |
Observability | Prometheus + Grafana | Monitors metrics and alerts for proactive issue resolution. |
Logging/Auditing | ELK Stack (Elasticsearch, Logstash, Kibana) | Centralizes logs for debugging across services. |
Inter-Service | Spring Cloud Gateway | Routes and secures communication between microservices. |
Project Challenges:
- Scaling to billions of transactions by configuring Kafka partitions and consumer groups for high throughput, avoiding bottlenecks in topic replication.
- Managing service discovery in Kubernetes with tools like Consul or Eureka, handling pod evictions and rolling updates without service interruption.
- Achieving eventual consistency in distributed systems using the Saga pattern or 2PC, mitigating failures with compensating transactions.
High-traffic ticketing platforms during peak events like concerts.
Extra Mile | Tool and Tech | Impact on Recruiters |
---|---|---|
Implement CI/CD with Jenkins on Kubernetes. | Jenkins, Helm Charts. | Shows DevOps expertise, essential for senior roles. |
Add AI for recommendation engines. | Spring AI, Apache Mahout. | Combines backend with ML, highly impressive. |
Simulate load testing with JMeter. | Apache JMeter, Locust. | Proves scalability claims with data. |
Add in Resume:
- Architected BookMyShow Clone as microservices in Spring Boot, scaling to 1M users and 1B transactions; deployed on Kubernetes with Kafka messaging, achieving 99.9% availability.
- Integrated Prometheus/Grafana for observability and ELK for logging; added CI/CD via Jenkins, accelerating deployments by 70%.
- Implemented AI recommendations and JMeter testing; reduced latency by 50%, demonstrating enterprise-grade resilience.
Project 2: Razorpay Clone (Payment Gateway)#
Create a microservices-based payment processor with services for transactions, merchants, and fraud detection.
What You Will Learn: Secure distributed messaging with Kafka, Kubernetes for scaling, observability, auditing for compliance, gRPC for efficient comms.
Key Project Features:
- Handle billions of transactions securely.
- Real-time fraud checks.
- Audit trails for every payment.
- Auto-scaling pods in Kubernetes.
Component | Tool | Why It Matters |
---|---|---|
Orchestration | Kubernetes | Scales services dynamically for traffic spikes. |
Messaging | Kafka | Streams payment events reliably. |
Observability | Jaeger for tracing | Traces requests across services for debugging. |
Logging/Auditing | Splunk or ELK | Provides searchable audits for regulatory needs. |
Inter-Service | gRPC | Faster than REST for internal calls in high-volume systems. |
Project Challenges:
- Ensuring zero-downtime during peaks by using Kubernetes Horizontal Pod Autoscaler and readiness probes for traffic management.
- Encrypting sensitive data across services with Vault or Spring Vault, implementing key rotation for compliance.
- Integrating with simulated banks via asynchronous Kafka producers, handling message idempotency to prevent duplicates.
Extra Mile | Tool and Tech | Impact on Recruiters |
---|---|---|
Ensuring zero-downtime during peaks | Horizontal pod autoscaler | Cutting-edge tech, positions you as innovative. |
Implement blue-green deployments. | Kubernetes Deployments, ArgoCD. | Demonstrates zero-downtime strategies. |
Add in Resume:
- Designed Razorpay Clone microservices with Spring Boot, processing 5B transactions; utilized Kubernetes and Kafka for scaling, ensuring zero-downtime.
- Employed Jaeger tracing and ELK auditing; added blockchain sim for immutability, enhancing security compliance.
- Implemented blue-green deploys and Istio mesh; cut costs by 30% in simulations, showcasing fintech innovation.
Project 3: WebSockets Chat Application#
Develop a real-time chat app as microservices, with user auth, messaging, and group chats, deployed on Kubernetes.
What You Will Learn: WebSockets for real-time, Kafka for message queuing, observability, logging, and inter-service sync.
Key Project Features:
- Scalable to millions of concurrent users.
- Message persistence and delivery guarantees.
- Monitoring for chat latency.
- Audit user interactions.
Component | Tool | Why It Matters |
---|---|---|
Orchestration | Kubernetes | Manages WebSocket pods for horizontal scaling. |
Messaging | Kafka | Buffers and distributes messages reliably. |
Observability | Micrometer + Prometheus | Tracks connection metrics. |
Logging/Auditing | Fluentd + ELK | Logs chat histories securely. |
Inter-Service | WebSockets with STOMP | Enables bidirectional real-time communication. |
Project Challenges:
- Handling WebSocket connections at scale by configuring session timeouts and heartbeat pings to detect disconnections.
- Partitioning Kafka topics efficiently for group chats, balancing load across brokers to maintain low latency.
- Ensuring data privacy with end-to-end encryption using libraries like Bouncy Castle, complying with GDPR-like standards.
Messaging apps like Slack for team communication.
Extra Mile | Tool and Tech | Impact on Recruiters |
---|---|---|
Add end-to-end encryption. | Bouncy Castle, Spring Security. | Security focus, vital for privacy apps. |
Integrate with push notifications (FCM). | Firebase SDK, Spring Integration. | Enhances user experience. |
Use serverless functions for bots. | AWS Lambda (sim), Spring Cloud Function. | Modern architecture blend. |
Add in Resume:
- Built a WebSockets Chat App in Spring Boot microservices, supporting 1M users; integrated Kafka and Kubernetes for real-time messaging, with 99% delivery rate.
- Added Micrometre/Prometheus monitoring and ELK logging; implemented E2E encryption, prioritising data privacy.
- Incorporated FCM notifications and serverless bots; reduced latency by 40%, highlighting scalable communication tech.
Project 4: Social Media App like LinkedIn#
Build a professional networking platform with microservices for profiles, posts, connections, and jobs.
What You Will Learn: Scaling for billions of interactions, Kafka for feeds, Kubernetes deployment, full observability stack.
Key Project Features:
- Feed generation with Kafka streams.
- Inter-service calls for recommendations.
- Logging all user actions.
- Handle a massive user base.
Component | Tool | Why It Matters |
---|---|---|
Orchestration | Kubernetes | Orchestrates services for global users. |
Messaging | Kafka | Processes post events and notifications. |
Observability | Zipkin for tracing | Visualizes service interactions. |
Logging/Auditing | ELK Stack | Audits for content moderation. |
Inter-Service | Spring Cloud Feign | Simplifies client-side calls. |
Project Challenges:
- Personalizing feeds at scale using Kafka Streams for real-time processing, managing state stores for user preferences.
- Managing graph data for connections with eventual consistency, using CRDTs or distributed graphs to resolve conflicts.
- Implementing distributed caching with Redis clusters to handle cache invalidation across microservices.
Extra Mile | Tool and Tech | Impact on Recruiters |
---|---|---|
Add graph DB like Neo4j for connections. | Neo4j Driver, Spring Data Neo4j. | Handles complex relationships efficiently. |
Implement content moderation with AI. | Spring AI, Hugging Face models. | Addresses real-world challenges. |
Deploy on multi-cloud (AWS + GCP). | Terraform, Kubernetes Federation. | Shows cloud-agnostic skills. |
Add in Resume:
- Created LinkedIn-like Social App with Spring Boot microservices, for 10M users and 1B interactions; used Kafka Streams and Kubernetes, optimizing feeds by 65%.
- Integrated Zipkin tracing and ELK auditing; added Neo4j for connections, enabling efficient networking graphs.
- Applied AI moderation and multi-cloud deploy; improved engagement by 50%, proving enterprise social platform mastery.
By completing these projects, you'll not only master Spring Boot but also gain insights into real-world development. Tailor them to your resume, host on GitHub, and explain your choices in interviews.
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