LMS Pro is a production-grade, full-stack learning platform featuring high-performance video streaming, automated assessments, and robust Role-Based Access Control (RBAC). Built for scalability, it supports complex workflows for students, instructors, and administrators with clean separation of concerns.
Architecture • RBAC • Workflow • Tech Stack • Structure • Getting Started • Roadmap
LMS Pro follows a Decoupled Micro-Monolith design so heavy jobs (video transcoding, certificate generation) run asynchronously and never degrade the core learning experience.
Tip: This diagram uses Mermaid. GitHub renders Mermaid automatically in markdown.
The system is partitioned into three distinct management portals.
| Role | Portal Access | Key Responsibilities |
|---|---|---|
| Student | Student Dashboard | Consume content, track progress, take quizzes, earn certificates |
| Professor | Instructor Studio | Create courses, upload media, grade assignments, monitor analytics |
| Admin | Global Admin Panel | User governance, content moderation, financial reports, system health |
- Onboarding: Instant authentication via JWT
- Enrollment: Secure checkout via Stripe triggers automated course access
- Consumption: Adaptive bitrate video streaming via CDN for low-buffer playback
- Completion: Quiz Engine validates performance → triggers PDF Worker to generate a verified certificate
- Content Ingest: Drag-and-drop course builder saves metadata to MongoDB
- Video Pipeline: Transcoding converts 4K uploads into mobile-friendly resolutions (stored on AWS S3)
- Insights: Heatmap analytics highlight video drop-off points and lesson engagement
- Frontend: React.js, Tailwind CSS, Lucide Icons
- Backend: Node.js (Express), JWT Auth, Socket.io (real-time updates)
- Databases: PostgreSQL (transactions), MongoDB (content), Redis (cache)
- Infrastructure: AWS S3 (storage), CloudFront (CDN), RabbitMQ (task queue)
.
├── client/ # React Portals (Student, Professor, Admin)
├── server/ # Express API Services
│ ├── middleware/ # RBAC & Auth Guards
│ ├── workers/ # PDF Generation & Email Services
│ └── models/ # Multi-database schemas (Mongoose/Sequelize)
├── config/ # AWS/Stripe/Firebase integration
└── docs/ # System Design & API Specsgit clone https://github.com/rajkandula/LMS_.git
cd LMS_
npm installCreate a .env file and configure:
DATABASE_URL=your_postgres_connection_string
JWT_SECRET=your_jwt_secret
STRIPE_KEY=your_stripe_keyTip: Add
.envto.gitignoreand never commit it.
npm run dev- AI Tutoring: Integrated LLM to answer student questions based on course data
- Mobile App: Flutter / React Native version for offline learning
- Live Classrooms: WebRTC integration for synchronous workshops
Raj Kandula