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AI-Powered Blog Platform with User Analytics

A full-stack MERN application featuring AI-generated content suggestions and comprehensive user engagement analytics

MongoDBExpress.jsReactNode.jsTensorFlow.jsChart.js
6 technologies
Updated 07/2023
Full-stack Application

AI-Powered Blog Platform with User Analytics

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Project Architecture

Comprehensive overview of the project architecture, features, and development process with modern design patterns

Project Features

Discover the comprehensive feature set that powers this application

Core Features

User authentication and role-based access (Admin, Instructor, Student)
Course creation and management
Video lectures and study material upload
Assignment submission and grading
Live classes using WebRTC
Responsive and mobile-friendly UI

AI & Interactive Features

Real-time video conferencing with screen sharing
Chat and Q&A during live sessions
Session recording and playback
Attendance tracking and engagement reports

Analytics & Reporting

Student performance analytics
Course completion tracking
Instructor activity reports
Real-time user engagement dashboard

System Architecture

Explore the technical foundation and architectural decisions

Frontend Architecture

Framework

React

State Management

Redux/Context API

Charts Library

Chart.js

AI Integration

TensorFlow.js

UI Libraries

Material-UITailwind CSS

Backend Architecture

Framework

Express.js

Database

MongoDB (Mongoose)

Authentication

JWT

Real-time Communication

Socket.io

AI Services

Content Suggestions

Natural Language Processing API

Analytics Processing

Custom algorithms

Development Phases

Strategic roadmap for project implementation and delivery

1

Core Platform Setup

2 weeks
Project initialization
Basic MERN stack setup
User authentication system
Basic blog CRUD operations
2

AI Integration

3 weeks
Implement NLP API integration
Develop suggestion algorithms
Create AI recommendation UI components
Basic analytics collection
3

Analytics Dashboard

3 weeks
Design data visualization components
Implement tracking middleware
Build analytics processing
Create admin dashboard
4

Real-time Features

2 weeks
Implement Socket.io for comments
Live analytics updates
Notification system
Performance optimization

API Endpoints

RESTful API structure and endpoint organization

Authentication

Register

POST /api/auth/register

Login

POST /api/auth/login

Get Current User

GET /api/auth/me

Blog Posts

Get All Posts

GET /api/posts

Create Post

POST /api/posts

Get Post by ID

GET /api/posts/:id

Update Post

PUT /api/posts/:id

Delete Post

DELETE /api/posts/:id

AI Services

Generate Suggestions

POST /api/ai/suggestions

Get Trends

GET /api/ai/trends

Analytics

Track Analytics

POST /api/analytics/track

Get Post Analytics

GET /api/analytics/:postId

Get User Analytics

GET /api/analytics/user/:userId

Comments

Get Comments by Post

GET /api/comments/:postId

Add Comment

POST /api/comments

Real-time Updates

WS /comments - real-time updates

Testing Strategy

Comprehensive quality assurance and testing methodologies

Unit Testing

Jest
React Testing Library

Integration Testing

Supertest

End-to-End Testing

Cypress

AI Testing

Suggestion accuracy validation
Model performance benchmarks

Deployment Strategy

Production deployment and infrastructure management

Frontend

Vercel/Netlify

Backend

AWS/Heroku

Database

MongoDB Atlas

CI/CD

GitHub Actions

Future Enhancements

Roadmap for upcoming features and improvements

Personalized content recommendations
Advanced sentiment analysis
Multi-language support
Mobile application integration
Subscription-based premium content