Updated: 12 October 2026. A fresher’s Java resume becomes more convincing when the GitHub link leads to a working application with clear documentation and tests—not just dozens of unfinished tutorials. This guide gives you an original, interview-friendly portfolio idea: build a Job Application Tracker API using Java, Spring Boot and a relational database. It includes the data model, endpoints, test cases, suggested architecture and a realistic two-week roadmap.
This is an independent Hiring365 learning project, not a hiring assignment supplied by Ford, Wipro, HCLTech or any other employer. Build it yourself and only claim skills you actually used.
Why a job tracker is a useful backend project
A job application has a natural lifecycle: you discover an opening, apply, receive updates, schedule an interview and eventually close the application. Those steps create practical backend challenges: choosing meaningful statuses, validating inputs, storing dates, implementing CRUD operations, tracking changes and writing tests. You can demonstrate essential skills without needing an expensive cloud service or a complicated frontend.
The aim is not to create another full hiring website. The scope is one applicant tracking their own applications. Start with an API that can run locally, and add extras only after the core flow works.
Project requirements: define what “done” means
| Feature | Minimum version | Possible extension |
|---|---|---|
| Add application | Save company, role, URL, date and status | Validate duplicate postings |
| List applications | Return records in a predictable order | Pagination and search |
| Update status | Change current application status | Track status-history events |
| Follow-up date | Optional date for the next action | Scheduled reminder integration |
| Persistence | Save records in a relational database | Database migrations |
| Testing | Unit and API tests for key cases | Integration tests with a temporary database |
| Documentation | README and sample HTTP requests | OpenAPI description and demo video |
Definition of done: Another developer should be able to clone your repository, configure the database, start the app, create an example application, update its status and run your tests by following the README alone.
Choose a simple, explainable tech stack
- Java: Use a supported LTS release compatible with your chosen Spring Boot version.
- Spring Boot: Spring Web for REST endpoints and Spring Data JPA for persistence.
- Database: PostgreSQL or MySQL for a realistic relational model; an in-memory database can simplify early tests.
- Build tool: Maven or Gradle; pick one and document it.
- Tests: JUnit and a mocking tool where appropriate.
- Version control: Git and GitHub with clear commit history.
Use Spring Initializr to generate the starting project. Spring’s official first-application tutorial explains application structure and controllers. Avoid combining six frameworks just to make your resume list longer.
Data model: start with one clean table
Create an applications table. Suggested fields:
| Field | Purpose | Example |
|---|---|---|
id | Unique record ID | 101 |
company_name | Employer name | Example Systems |
role_title | Position applied for | Backend Trainee |
job_url | Source listing link | Employer careers URL |
status | Current stage | APPLIED |
applied_on | Application date | 2026-10-12 |
next_action_on | Optional follow-up date | 2026-10-19 |
notes | Short non-sensitive notes | Prepare SQL joins |
Use an enum or clearly defined allowed values for the status: SAVED, APPLIED, SCREENING, INTERVIEW, OFFER, REJECTED and WITHDRAWN. A status is not a guarantee of what the employer is doing internally; it represents what the candidate knows.
Plan a separate status_events table only when you need an audit trail: event ID, application ID, previous status, next status, timestamp and optional note. Do not overengineer the first working version.
REST API endpoints worth implementing
| Request | Path | What it should do |
|---|---|---|
POST | /api/applications | Validate and create an application |
GET | /api/applications | List records with optional status filter |
GET | /api/applications/{id} | Return one record or a not-found result |
PATCH | /api/applications/{id}/status | Change an application’s status |
PUT | /api/applications/{id} | Replace the editable details |
DELETE | /api/applications/{id} | Remove a record when permitted |
Make the responses meaningful. On successful creation, return 201 Created; when validation fails, return 400 Bad Request; when an ID does not exist, return 404 Not Found. Consistency matters more than fancy endpoint names.
Example fictional request body
{
"companyName": "Example Systems",
"roleTitle": "Junior Java Developer",
"jobUrl": "https://example.com/careers/123",
"status": "APPLIED",
"appliedOn": "2026-10-12",
"nextActionOn": "2026-10-19",
"notes": "Revise REST API testing"
}Illustrative payload only. The example company and URL are placeholders, not a real vacancy. Never publish real recruiters’ phone numbers, candidate resumes or private application notes in sample repositories.
Layered architecture you can explain in an interview
Keep your first implementation organised into simple layers:
- Controller: receives HTTP requests and returns appropriate status codes and response bodies.
- DTOs and validation: describe accepted request fields; reject blank company names, invalid statuses or impossible date combinations.
- Service: contains application rules, such as which updates are allowed and when a status-change record is created.
- Repository: stores and retrieves application records using JPA.
- Exception handling: converts known failures into consistent, understandable API errors without leaking stack traces.
Example question: Why not put all SQL and business rules in the controller? Because mixing transport, business decisions and persistence makes testing and future changes harder. Give a concrete demonstration: if you add a new mobile client later, the service logic should not need to be rewritten.
Tests that make your project believable
A working demo without tests is a start, but tests help you show engineering discipline. Write checks for these cases:
- Creating an application with valid fields returns the expected record and status code.
- Blank company name or role is rejected.
- Invalid status values are rejected, not silently saved.
- Fetching an unknown ID returns
404. - Changing an existing record from
APPLIEDtoINTERVIEWsucceeds and preserves unrelated data. - A query filtering for
SCREENINGdoes not include rejected applications. - A database or dependency failure is reported safely, without returning credentials.
Stretch task: Two requests try to update the same application at nearly the same time. Explain the lost-update problem and explore optimistic locking or another strategy appropriate to your design. This is an optional learning exercise, not a requirement for every fresher project.
Security: the difference between a demo and a real product
Do not deploy this project publicly with an open API containing personal applications, names or interview details. A learning repository can use entirely fictional test data; if you later build a hosted multi-user tool, add proper authentication, user-level authorisation, secure configuration and request limits before accepting real information. Use environment variables or a secret manager for credentials, and keep configuration files containing passwords out of version control.
README examples should use mock values. A public GitHub repository is not a secure place for copied job offers, personal identifiers or recruiter contact information.
Two-week project plan for beginners
| Days | Deliverable |
|---|---|
| 1–2 | Write requirements, initialise Git and generate Spring Boot project |
| 3–4 | Create entity, DTOs and database configuration |
| 5–6 | Implement create/list/get endpoints and manual HTTP examples |
| 7–8 | Add validation, status updates and not-found handling |
| 9–10 | Write unit and API tests; fix edge cases |
| 11 | Add filtering or pagination and review database queries |
| 12 | Clean up error messages, secrets and unused dependencies |
| 13 | Write README, architecture diagram and sample requests |
| 14 | Record a short demo, inspect the repository as a stranger and fix gaps |
The timeline is a suggested learning schedule, not a guarantee. If the first six days take longer, complete the CRUD and testing basics before attempting reminders or a React frontend.
What your GitHub README should contain
Recruiters should not have to guess what you built. Include: a two-line problem statement, key features, chosen technologies and versions, simple architecture diagram, setup commands, environment-variable examples, sample API requests, test command, known limitations and future improvements. Link to a short demonstration using fictional data when possible.
GitHub’s official README guidance explains why a README should cover what a project does, why it matters and how to get started. If the project was done with a teammate, clearly credit their contribution and identify your own work.
How to describe the project on your resume
Write only what you actually implemented. A credible fresher bullet might look like:
Built a Spring Boot REST API for tracking job applications with status updates, PostgreSQL persistence, input validation and automated tests; documented setup and sample requests on GitHub.
Do not invent thousands of users, production deployments, performance gains or team leadership. If your app is local-only, say so. If you cannot explain a line of copied code, remove it or learn it before placing the project on your resume.
Interview questions to practise using your own code
- Why did you choose relational storage instead of saving data to a file?
- What is the difference between
POST,PUTandPATCHin your API? - How do validation errors differ from missing records?
- Which parts did you test without a database, and which tests need one?
- How would you stop one user seeing another user’s job tracker if you expanded the app?
- What would you change if you had to support ten times as many records?
For a related career search, read Hiring365’s entry-level software skills guide, GitHub portfolio advice and fresher resume format guide. The tracker project can be tailored toward the backend skills described in actual job listings, but no project guarantees a job or interview.
Final self-review checklist
Before sharing a repository, verify that the code builds, the tests pass, the README instructions work on a clean machine, no secrets are committed, examples use fictional data and every claimed feature can be demonstrated. One well-explained application is usually more useful in an interview than a long list of projects you cannot discuss.
References: Spring Boot official tutorial and GitHub documentation on READMEs. The tracker design, examples, project plan and interview exercises are independent Hiring365 editorial guidance, not an employer test.
Illustrative featured photo: Mohammad Rahmani / Unsplash. The photo does not depict an actual Hiring365 code repository.
