AI AcademyKhwarizmi — E-Learning Platform Backend

AI Academy is a modular e-learning backend system that powers a scalable platform for courses, user management, and content delivery.
It is built with modern backend best practices, ready for content uploads, course/lesson management, and secure, role-based access.
🔧 Tech Stack

Java 17 + Spring Boot
Spring Security + JWT for authentication & role-based authorization
PostgreSQL for persistent relational data (users, courses, roles, metadata)
Spring Data JPA / Hibernate for data access
REST APIs (controllers / services / repositories)
Swagger / OpenAPI for API documentation (via Springdoc)
Docker (in progress) — for containerized development / future deployment
CI/CD via GitHub + automation tools
✅ What works now (MVP core)

Secure user registration and login (roles: STUDENT, TUTOR, COMPANY, ADMIN)
JWT-based authentication and role validation
CRUD endpoints for courses (create/read/update/delete) — restricted to tutors/admins
Swagger UI for API documentation and testing
Basic project structure following clean architecture (controller → service → repository)
🚀 Continuous Integration & Deployment (CI/CD)

We have integrated a CI/CD pipeline to improve development quality, reliability, and speed of delivery.
🔄 How it works

On every commit or Pull Request → automated build & test suite runs
On merge to main branch → automatic packaging / artifacts ready for deployment
Using GHAWatch, a lightweight CLI-based monitor for GitHub Actions workflows, we log real-time workflow and job status to console — helpful for developers and maintainers to track CI events.
Note: You can run the monitor with:
export GITHUB_TOKEN=your_token
java -jar gha-watch.jar your-repo-owner/your-repo --interval 5 --verbose
This will stream events (workflow/run start, job start/finish, step status) in real time.
🧪 API Documentation & Testing

After starting the application, the API docs are available at: http://localhost:8080/swagger-ui/index.html