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EduMaster β AI-Enhanced Learning Platform
Project Overview
- Project Title: EduMaster β AI-Enhanced Learning Platform
- Domain: Edtech
- Technology Stack: Node.js , Express.js , React , MongoDB
- Duration: 3 Weeks
Project Description
EduMaster is a full-featured AI-driven Learning Management System designed to facilitate online learning for educational institutions, training centers, and individual instructors. It supports course creation, video lectures, quizzes, assignments, real-time sessions, progress tracking, and certification. AI capabilities assist in personalized learning paths, content recommendations, and performance prediction.
Key Objective
- Allow instructors to create, manage, and publish online courses.
- Provide learners with a structured, traceable learning journey.
- Use AI to enhance student engagement and personalize content.
- Track learner progress and performance over time.
- Enable live classes, discussions, and peer collaboration.
Core Feature
- Multi-Role System (Admin, Instructor, Student).
- Course Management (Video, PDF, Quiz, Assignments, Notes).
- Learning Path and Module System.
- AI-Based Course Recommendations & Progress Suggestions.
- Secure Video Streaming (via Vimeo / Cloudflare).
- Interactive Quizzes with Scoring and Hints.
- Assignment Submission and Grading.
- Certification Generation after Course Completion.
- Live Classes via WebRTC / Zoom API.
- Progress Tracking and Analytics Dashboard.
- Discussion Forum and Peer Q&A.
- Notifications for Deadlines, Assignments, Announcements.
- Role-Based Dashboards.
- Course Reviews and Ratings.
- Gamification (Badges, XP, Leaderboards).
Tools & Technologies Used
| Category | Tools / Technologies |
| Language | JavaScript |
| Backend Framework | Node.js and Express.js |
| Frontend | React.js (with Redux Toolkit or Context API) |
| Database | MongoDB (Primary), Redis (for caching, session) |
| AI Integration | OpenAI API / TensorFlow.js for Recommendation Engine |
| Authentication & Security | JWT, OAuth2, bcrypt.js |
| Video Hosting | Cloudinary / Vimeo / AWS S3 |
| Live Classes | WebRTC, Socket.io, or Zoom SDK |
| Notifications | Twilio (SMS), Nodemailer (Email) |
| PDF & Certificate Generation | jsPDF, pdfmake |
| Visualization & Analytics | Recharts, Chart.js |
| Testing | Jest, Mocha, Postman |
| DevOps & Deployment | Git, Docker, GitHub Actions, AWS EC2, MongoDB Atlas |
Prerequisites
π» System Requirements
- Operating System: Windows / macOS / Linux
- Minimum 8 GB RAM (Recommended: 16 GB for live class testing)
- Node.js (v16 or later) with npm or yarn
- MongoDB server or MongoDB Atlas account
- Redis server for session management and caching
- Docker (optional for containerized deployment)
π¦ Software Dependencies
- Node.js + Express.js for backend API services
- React.js with Redux Toolkit or Context API for frontend
- Socket.io or WebRTC for real-time communication during live classes
- MongoDB & Redis for data persistence and caching
- Vimeo, Cloudinary, or AWS S3 for secure video streaming
- OpenAI API / TensorFlow.js for AI-driven personalization
- Zoom SDK for live class integration (if not using WebRTC)
- jsPDF or pdfmake for generating downloadable certificates
- Chart.js / Recharts for learning analytics
- Twilio and Nodemailer for notifications via SMS and Email
π§° Tools & Services
- IDE: Visual Studio Code
- API Testing: Postman
- Version Control: Git + GitHub
- Testing Tools: Jest, Mocha
- CI/CD: GitHub Actions or Jenkins
- Cloud Hosting: AWS EC2, MongoDB Atlas
π Technical Knowledge
- Building modular course management systems with media support
- Handling real-time communication using WebRTC and Socket.io
- Implementing AI-driven course recommendations and learner feedback
- Creating secured user authentication with JWT and OAuth2
- Tracking learner progress with analytics dashboards
- Implementing gamification and certificate generation logic
- Deploying and scaling LMS apps using Docker and AWS
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