Topic 1 : AI-Powered Test Case Generation for Automated QA Integration

Description:

This topic focuses on exploring and implementing AI-driven tools or models that can automatically generate test cases (unit, integration, or UI) from source code, API specifications (e.g., OpenAPI), or user stories. The goal is to integrate these AI-generated tests into our existing QA pipelines to enhance coverage, reduce manual effort, and support continuous testing

Key attributes / Main competencies:

• Understanding of software testing (unit, integration, UI)
• Familiarity with QA tools and frameworks (e.g., JUnit, Selenium, Postman, Cypress)
• Experience with AI/ML or LLMs (e.g., using GPT APIs, code models)
• API analysis and specification handling (e.g., Swagger/OpenAPI)
• CI/CD and test automation integration

Learning Outcomes:

• Evaluate and apply AI models for automated test case generation
• Design workflows that translate API specs or code into executable test scripts
• Integrate automated testing into real-world QA processes
• Deliver a working prototype or framework usable by the QA team

Topic 2 : API Documentation & Exposure for InsightWeb

Description

This internship focuses on documenting and exposing the internal APIs of MassTer InsightWeb to external clients. The intern will explore and organize existing backend and frontend components built using Java Spring Boot and Angular, generate interactive API documentation using Swagger/OpenAPI, and prepare guidelines for secure and efficient API consumption. The final deliverable will be a well-structured developer portal or API reference that can be shared with clients or partners.

Key Competencies:

• Java, Spring Boot (REST APIs)
• Angular basics
• Swagger/OpenAPI
• API testing (Postman)
• Basic auth/OAuth2 knowledge

Learning Outcomes:

• Understand InsightWeb’s API architecture
• Document and publish REST APIs
• Build secure, client-consumable API layers
• Gain experience with Swagger and API design best practices

Topic 3 : Codebase Backup & Sync from Bitbucket to GitHub

Description:
Implement an automated process to back up and sync Bitbucket repositories to GitHub. This includes setting up secure access, scheduling regular updates, and ensuring data integrity for disaster recovery or migration readiness.

Key Competencies:

• Git & repository management
• Bitbucket and GitHub APIs
• Scripting (Bash or Python)
• Basic CI/CD (Bitbucket Pipelines, GitHub Actions)

Learning Outcomes:

• Automate repo mirroring from Bitbucket to GitHub
• Understand cross-platform Git operations
• Gain experience with GitHub Actions and Bitbucket Pipelines
• Improve DevOps reliability and code redundancy practices