🌍 Atlas - Complete Backend Platform

A comprehensive backend platform with AI-powered recommendations, user management, content moderation, and administrative dashboard.

🎯 Overview

Atlas is a production-ready backend platform that combines modern authentication, AI-powered recommendations, comprehensive content management, and a full-featured admin dashboard. Built with TypeScript, Express.js, and MongoDB, it provides everything needed for a scalable web application backend.

🌟 Key Features

🔐 JWT Authentication - Secure user registration, login, and token management
🤖 AI Recommendations - Intelligent content recommendations based on user interests
📊 Admin Dashboard - Complete administrative interface with analytics and user management
🛡️ Role-Based Access - User, moderator, and admin role management
📝 Content Management - Full CRUD operations for events, organizations, and labs
📈 Analytics & Reporting - Detailed system analytics with data export capabilities
🔍 Advanced Search - Flexible search and filtering across all content types
⚡ Performance Optimized - Efficient MongoDB queries and response caching

🏗️ Architecture

Atlas Backend Platform
├── 🔐 Authentication Module
│   ├── JWT Token Management
│   ├── Password Hashing (bcrypt)
│   └── Role-Based Access Control
├── 🤖 AI Recommendations Engine
│   ├── Interest-Based Matching
│   ├── Content Scoring Algorithm
│   └── Dynamic Recommendation Updates
├── 📚 Content Management System
│   ├── Events Management
│   ├── Organizations Directory
│   └── Labs & Projects Hub
├── 🎛️ Admin Dashboard Backend
│   ├── User Management & Analytics
│   ├── Content Moderation System
│   ├── System Health Monitoring
│   └── Data Export & Reporting
└── 🌐 REST API Layer
    ├── Express.js Server
    ├── Middleware Stack
    └── Error Handling System

🚀 Quick Start

Prerequisites

Node.js v16.0.0 or higher
MongoDB v4.4 or higher
npm or yarn package manager

Installation

Clone the repository:

git clone https://github.com/your-username/atlas.git
cd atlas

Install dependencies:
```
npm install
```

Environment Setup:

cp .env.example .env

Configure your .env file:

# Server Configuration
PORT=3001
NODE_ENV=development

# Database
MONGODB_URI=mongodb://localhost:27017/atlas

# JWT Configuration
JWT_SECRET=your-super-secret-jwt-key
JWT_EXPIRES_IN=24h
JWT_REFRESH_SECRET=your-refresh-secret-key
JWT_REFRESH_EXPIRES_IN=7d

# Admin Configuration
ADMIN_SESSION_TIMEOUT=3600000
ADMIN_MAX_LOGIN_ATTEMPTS=5

# Features
RECOMMENDATIONS_ENABLED=true
ANALYTICS_ENABLED=true

Start MongoDB:

# Using MongoDB service
sudo systemctl start mongod

# Or using Docker
docker run -d -p 27017:27017 --name atlas-mongo mongo:latest

Run the application:

# Development mode with hot reload
npm run dev

# Production mode
npm run build
npm start

Verify installation:
```
curl http://localhost:3001/api/health
```

📁 Project Structure

atlas/
├── src/backend/
│   ├── modules/
│   │   ├── api/
│   │   │   ├── routes/
│   │   │   │   ├── auth/          # Authentication routes
│   │   │   │   ├── users/         # User management routes  
│   │   │   │   ├── events/        # Events CRUD routes
│   │   │   │   ├── organizations/ # Organizations routes
│   │   │   │   ├── labs/          # Labs routes
│   │   │   │   ├── recommendations/ # AI recommendations
│   │   │   │   └── admin/         # Admin dashboard routes
│   │   │   │       ├── dashboard.ts
│   │   │   │       ├── users.ts
│   │   │   │       ├── content.ts
│   │   │   │       ├── analytics.ts
│   │   │   │       └── middleware.ts
│   │   │   └── index.ts          # API routes aggregator
│   │   ├── database/
│   │   │   ├── models/           # MongoDB schemas
│   │   │   │   ├── User.ts
│   │   │   │   ├── Event.ts
│   │   │   │   ├── Organization.ts
│   │   │   │   └── Lab.ts
│   │   │   └── connection.ts     # Database connection
│   │   ├── auth/
│   │   │   ├── middleware.ts     # JWT middleware
│   │   │   └── utils.ts         # Auth utilities
│   │   └── recommendations/
│   │       └── engine.ts        # AI recommendation engine
│   ├── middleware/              # Global middleware
│   ├── types/                   # TypeScript type definitions
│   └── utils/                   # Utility functions
├── server.ts                    # Express server setup
├── package.json
├── tsconfig.json
├── README.md                    # This file
└── ADMIN-DASHBOARD.md          # Admin documentation

🔌 API Reference

Base URL: `http://localhost:3001/api`

🔐 Authentication Endpoints

// Register new user
POST /auth/register
{
  "name": "John Doe",
  "username": "johndoe", 
  "email": "john@example.com",
  "password": "securePassword123",
  "interests": [1, 2, 3]
}

// User login
POST /auth/login
{
  "username": "johndoe",
  "password": "securePassword123"
}

// Refresh JWT token
POST /auth/refresh
{
  "refreshToken": "your_refresh_token_here"
}

// Get current user profile
GET /auth/profile
Authorization: Bearer <your_jwt_token>

👥 User Management

// Get all users (paginated)
GET /users?page=1&limit=20&search=john

// Get user by ID
GET /users/:id

// Update user profile
PUT /users/:id
Authorization: Bearer <jwt_token>

// Delete user account
DELETE /users/:id
Authorization: Bearer <jwt_token>

📅 Events Management

// Get all events
GET /events?page=1&limit=20&search=hackathon&location=NYC

// Create new event
POST /events
Authorization: Bearer <jwt_token>
{
  "title": "Tech Conference 2024",
  "description": "Annual technology conference",
  "date": "2024-06-15",
  "location": "New York City",
  "organizer": "Tech Corp"
}

// Get event by ID
GET /events/:id

// Update event
PUT /events/:id
Authorization: Bearer <jwt_token>

// Delete event
DELETE /events/:id  
Authorization: Bearer <jwt_token>

🏢 Organizations

// Get all organizations
GET /organizations?page=1&limit=20&search=tech&type=startup

// Create organization
POST /organizations
Authorization: Bearer <jwt_token>
{
  "name": "Tech Innovators Inc",
  "description": "Leading technology innovation company",
  "type": "startup",
  "location": "San Francisco",
  "website": "https://techinnovators.com"
}

// Organization CRUD operations
GET /organizations/:id
PUT /organizations/:id
DELETE /organizations/:id

🔬 Labs & Projects

// Get all labs
GET /labs?page=1&limit=20&search=AI&field=machine-learning

// Create lab/project
POST /labs
Authorization: Bearer <jwt_token>
{
  "name": "AI Research Lab",
  "description": "Cutting-edge artificial intelligence research",
  "field": "machine-learning", 
  "leader": "Dr. Sarah Johnson",
  "status": "active"
}

// Lab CRUD operations
GET /labs/:id
PUT /labs/:id  
DELETE /labs/:id

🤖 AI Recommendations

// Get personalized recommendations
GET /recommendations
Authorization: Bearer <jwt_token>
Query params: ?type=events&limit=10&includeScore=true

// Get recommendations for specific user
GET /recommendations/user/:userId
Authorization: Bearer <admin_jwt_token>

// Update user interests (affects future recommendations)
PUT /recommendations/interests
Authorization: Bearer <jwt_token>
{
  "interests": [1, 2, 5, 8]
}

🎛️ Admin Dashboard

All admin endpoints require Authorization: Bearer <admin_jwt_token>

// System overview
GET /admin/dashboard

// User management  
GET /admin/users?page=1&limit=20&role=admin
PUT /admin/users/:id/role { "role": "moderator" }

// Content moderation
GET /admin/content/pending?type=events
PUT /admin/content/events/:id/approve
PUT /admin/content/events/:id/reject { "reason": "Inappropriate content" }

// Analytics & reporting
GET /admin/analytics/overview?period=30
GET /admin/analytics/users
GET /admin/analytics/export?format=json&type=overview

🤖 AI Recommendations System

The Atlas recommendation engine uses an intelligent matching algorithm to provide personalized content suggestions based on user interests and behavior patterns.

How It Works

Interest Profiling: Users select interests during registration
Content Scoring: Each content item is scored against user interests
Dynamic Ranking: Recommendations are ranked by relevance score
Continuous Learning: System adapts based on user interactions

Recommendation Algorithm

// Simplified scoring algorithm
function calculateRecommendationScore(content: Content, userInterests: number[]): number {
  const baseScore = 50; // Base relevance score
  const interestBonus = content.interests?.reduce((score, interest) => {
    return userInterests.includes(interest) ? score + 25 : score;
  }, 0) || 0;
  
  // Additional factors
  const recencyBonus = calculateRecencyBonus(content.createdAt);
  const popularityBonus = calculatePopularityBonus(content.views || 0);
  
  return Math.min(100, baseScore + interestBonus + recencyBonus + popularityBonus);
}

Usage Examples

// Get personalized event recommendations
const eventRecommendations = await fetch('/api/recommendations?type=events&limit=5', {
  headers: { 'Authorization': `Bearer ${userToken}` }
});

// Get mixed content recommendations with scores
const allRecommendations = await fetch('/api/recommendations?limit=10&includeScore=true', {
  headers: { 'Authorization': `Bearer ${userToken}` }
});

// Update user interests to improve recommendations
await fetch('/api/recommendations/interests', {
  method: 'PUT',
  headers: { 
    'Authorization': `Bearer ${userToken}`,
    'Content-Type': 'application/json' 
  },
  body: JSON.stringify({ interests: [1, 3, 7, 12] })
});

🎛️ Admin Dashboard

Atlas includes a comprehensive admin dashboard backend for complete system management. See ADMIN-DASHBOARD.md for detailed documentation.

Admin Features

📊 System Overview: Real-time system health, performance metrics, and usage statistics
👥 User Management: Complete user lifecycle management with role-based access control
📝 Content Moderation: Approval workflows for events, organizations, and labs
📈 Analytics & Reporting: Detailed system analytics with CSV/JSON export capabilities
🔍 Advanced Search: Powerful search and filtering across all system entities
🛡️ Security Management: Session tracking, activity logging, and access control

Quick Admin Setup

# 1. Create admin user in MongoDB
mongosh atlas
db.users.updateOne(
  { username: 'your_username' }, 
  { $set: { role: 'admin' } }
)

# 2. Login and access admin endpoints
curl -X POST http://localhost:3001/api/auth/login \
  -H "Content-Type: application/json" \
  -d '{"username":"admin_user","password":"admin_password"}'

# 3. Use admin token for dashboard access
curl -H "Authorization: Bearer ADMIN_TOKEN" \
  http://localhost:3001/api/admin/dashboard

🗄️ Database Schema

User Schema

interface User {
  userId: number;        // Auto-increment primary key
  name: string;          // Full name
  username: string;      // Unique username
  email: string;         // Unique email address
  password: string;      // Hashed password
  role: 'user' | 'admin' | 'moderator'; // User role
  interests: number[];   // Array of interest IDs
  createdAt: Date;       // Registration timestamp
  updatedAt: Date;       // Last update timestamp
  lastLogin?: Date;      // Last login timestamp
}

Event Schema

interface Event {
  id: string;           // MongoDB ObjectId
  title: string;        // Event title
  description?: string; // Event description
  date: Date;          // Event date
  location?: string;   // Event location
  organizer?: string;  // Event organizer
  interests?: number[]; // Related interest IDs
  createdBy: number;   // User ID of creator
  createdAt: Date;     // Creation timestamp
  updatedAt: Date;     // Last update timestamp
  views?: number;      // View count for popularity
}

Organization Schema

interface Organization {
  id: string;           // MongoDB ObjectId
  name: string;         // Organization name
  description?: string; // Organization description
  type?: string;        // Organization type
  location?: string;    // Organization location
  website?: string;     // Organization website
  interests?: number[]; // Related interest IDs
  createdBy: number;    // User ID of creator
  createdAt: Date;      // Creation timestamp
  updatedAt: Date;      // Last update timestamp
  views?: number;       // View count for popularity
}

Lab Schema

interface Lab {
  id: string;          // MongoDB ObjectId
  name: string;        // Lab name
  description?: string; // Lab description
  field?: string;      // Research field
  leader?: string;     // Lab leader
  status?: string;     // Lab status
  interests?: number[]; // Related interest IDs
  createdBy: number;   // User ID of creator
  createdAt: Date;     // Creation timestamp
  updatedAt: Date;     // Last update timestamp
  views?: number;      // View count for popularity
}

🔧 Configuration

Environment Variables

# Server Configuration
PORT=3001                          # Server port
NODE_ENV=development               # Environment mode
CORS_ORIGIN=http://localhost:3000  # CORS allowed origin

# Database Configuration  
MONGODB_URI=mongodb://localhost:27017/atlas  # MongoDB connection string
MONGODB_OPTIONS={}                 # Additional MongoDB options

# JWT Authentication
JWT_SECRET=your-256-bit-secret     # JWT signing secret (use strong secret!)
JWT_EXPIRES_IN=24h                 # Access token expiration
JWT_REFRESH_SECRET=refresh-secret  # Refresh token secret
JWT_REFRESH_EXPIRES_IN=7d         # Refresh token expiration

# Security Settings
BCRYPT_ROUNDS=12                   # Password hashing rounds
RATE_LIMIT_WINDOW=900000          # Rate limit window (15 min)
RATE_LIMIT_MAX=100                # Max requests per window

# Feature Flags
RECOMMENDATIONS_ENABLED=true       # Enable AI recommendations
ANALYTICS_ENABLED=true            # Enable analytics collection
ADMIN_DASHBOARD_ENABLED=true      # Enable admin dashboard

# Admin Configuration
ADMIN_SESSION_TIMEOUT=3600000     # Admin session timeout (1 hour)
ADMIN_MAX_LOGIN_ATTEMPTS=5        # Max failed login attempts
ADMIN_LOCKOUT_DURATION=1800000    # Account lockout duration (30 min)

# Analytics Configuration
ANALYTICS_RETENTION_DAYS=90       # Data retention period
ANALYTICS_EXPORT_MAX_ROWS=10000   # Max rows for data export
ANALYTICS_CACHE_TTL=300000        # Cache TTL (5 minutes)

# Logging
LOG_LEVEL=info                    # Logging level
LOG_FILE=logs/atlas.log           # Log file path

MongoDB Indexes

For optimal performance, create these indexes:

// User indexes
db.users.createIndex({ "username": 1 }, { unique: true });
db.users.createIndex({ "email": 1 }, { unique: true });
db.users.createIndex({ "userId": 1 }, { unique: true });
db.users.createIndex({ "role": 1 });
db.users.createIndex({ "interests": 1 });
db.users.createIndex({ "createdAt": -1 });

// Content indexes
db.events.createIndex({ "title": "text", "description": "text" });
db.events.createIndex({ "date": 1 });
db.events.createIndex({ "createdAt": -1 });
db.events.createIndex({ "interests": 1 });

db.organizations.createIndex({ "name": "text", "description": "text" });
db.organizations.createIndex({ "type": 1 });
db.organizations.createIndex({ "location": 1 });
db.organizations.createIndex({ "createdAt": -1 });

db.labs.createIndex({ "name": "text", "description": "text" });
db.labs.createIndex({ "field": 1 });
db.labs.createIndex({ "status": 1 });
db.labs.createIndex({ "createdAt": -1 });

🧪 Testing

Running Tests

# Run all tests
npm test

# Run tests with coverage
npm run test:coverage

# Run tests in watch mode
npm run test:watch

# Run specific test suite
npm test -- --grep "Authentication"

Manual API Testing

# Health check
curl http://localhost:3001/api/health

# User registration
curl -X POST http://localhost:3001/api/auth/register \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Test User",
    "username": "testuser",
    "email": "test@example.com", 
    "password": "password123",
    "interests": [1, 2, 3]
  }'

# User login
curl -X POST http://localhost:3001/api/auth/login \
  -H "Content-Type: application/json" \
  -d '{"username": "testuser", "password": "password123"}'

# Get recommendations (replace TOKEN)
curl -H "Authorization: Bearer TOKEN" \
  "http://localhost:3001/api/recommendations?limit=5"

# Create event (replace TOKEN)
curl -X POST http://localhost:3001/api/events \
  -H "Authorization: Bearer TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "title": "Test Event",
    "description": "Test event description",
    "date": "2024-06-15",
    "location": "Test Location"
  }'

Frontend Integration Example

// TypeScript client example
class AtlasApiClient {
  private baseURL: string;
  private token: string | null = null;

  constructor(baseURL: string = 'http://localhost:3001/api') {
    this.baseURL = baseURL;
  }

  // Authentication methods
  async login(username: string, password: string) {
    const response = await fetch(`${this.baseURL}/auth/login`, {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify({ username, password })
    });
    
    const data = await response.json();
    if (data.success) {
      this.token = data.data.tokens.accessToken;
    }
    return data;
  }

  async register(userData: RegisterData) {
    const response = await fetch(`${this.baseURL}/auth/register`, {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify(userData)
    });
    return await response.json();
  }

  // Content methods
  async getEvents(params?: { page?: number; limit?: number; search?: string }) {
    const queryString = params ? '?' + new URLSearchParams(params as any) : '';
    const response = await fetch(`${this.baseURL}/events${queryString}`);
    return await response.json();
  }

  async getRecommendations(limit: number = 10) {
    const response = await fetch(`${this.baseURL}/recommendations?limit=${limit}`, {
      headers: { 'Authorization': `Bearer ${this.token}` }
    });
    return await response.json();
  }

  async createEvent(eventData: CreateEventData) {
    const response = await fetch(`${this.baseURL}/events`, {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${this.token}`,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify(eventData)
    });
    return await response.json();
  }
}

// Usage
const client = new AtlasApiClient();
await client.login('username', 'password');
const recommendations = await client.getRecommendations(5);
const events = await client.getEvents({ page: 1, limit: 20 });

🚀 Deployment

Production Deployment

Build the application:
```
npm run build
```

Set production environment variables:

export NODE_ENV=production
export MONGODB_URI=mongodb+srv://username:password@cluster.mongodb.net/atlas
export JWT_SECRET=your-super-secure-256-bit-production-secret

Start the production server:
```
npm start
```

Docker Deployment

# Dockerfile
FROM node:18-alpine

WORKDIR /app

# Copy package files
COPY package*.json ./
RUN npm ci --only=production

# Copy source code
COPY . .

# Build application
RUN npm run build

# Expose port
EXPOSE 3001

# Health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
  CMD curl -f http://localhost:3001/api/health || exit 1

# Start application
CMD ["npm", "start"]

# docker-compose.yml
version: '3.8'
services:
  atlas-backend:
    build: .
    ports:
      - "3001:3001"
    environment:
      - NODE_ENV=production
      - MONGODB_URI=mongodb://mongo:27017/atlas
      - JWT_SECRET=your-production-secret
    depends_on:
      - mongo
    restart: unless-stopped

  mongo:
    image: mongo:6.0
    ports:
      - "27017:27017"
    volumes:
      - mongo_data:/data/db
    restart: unless-stopped

volumes:
  mongo_data:

Cloud Deployment (AWS/Azure/GCP)

# Example deployment to AWS Elastic Beanstalk
eb init atlas-backend --platform node.js
eb create production-environment
eb deploy

🔒 Security

Security Features

🔐 JWT Authentication: Secure token-based authentication
🛡️ Password Hashing: bcrypt with configurable rounds
🚫 Rate Limiting: Prevent abuse with request rate limiting
🔒 Role-Based Access: Admin, moderator, and user roles
🛡️ Input Validation: Comprehensive request validation
🔍 SQL Injection Protection: MongoDB parameterized queries
🚨 Error Handling: Secure error responses without sensitive data

Security Best Practices

Environment Variables: Never commit secrets to version control
HTTPS Only: Use HTTPS in production (configure reverse proxy)
CORS Configuration: Restrict CORS to trusted origins
Regular Updates: Keep dependencies updated
Security Headers: Use helmet.js for security headers
Input Sanitization: Validate and sanitize all user inputs
Audit Logging: Log security-relevant events

📊 Performance & Monitoring

Performance Features

⚡ Efficient Queries: Optimized MongoDB aggregation pipelines
💾 Caching: Response caching for frequently accessed data
📄 Pagination: Built-in pagination for large datasets
🔍 Indexing: Strategic database indexing for query performance
🚀 Async Operations: Non-blocking asynchronous operations

Monitoring

// Health check endpoint
GET /api/health
{
  "success": true,
  "data": {
    "status": "healthy",
    "timestamp": "2024-01-15T10:30:00.000Z",
    "uptime": "2d 5h 30m",
    "version": "1.0.0",
    "database": "connected",
    "memory": {
      "used": 45.2,
      "total": 128.0,
      "percentage": 35.3
    }
  }
}

Performance Monitoring

# Monitor application performance
npm install -g clinic
clinic doctor -- npm start

# Database performance monitoring
mongotop --host localhost:27017
mongostat --host localhost:27017

🤝 Contributing

We welcome contributions to Atlas! Please follow these guidelines:

Development Workflow

Fork the repository
Create a feature branch: git checkout -b feature/amazing-feature
Make your changes with proper TypeScript typing
Add tests for new functionality
Run the test suite: npm test
Commit your changes: git commit -m 'Add amazing feature'
Push to your branch: git push origin feature/amazing-feature
Open a Pull Request

Code Standards

TypeScript: All code must be properly typed
ESLint: Follow the project's ESLint configuration
Prettier: Use Prettier for code formatting
Testing: Include tests for new features
Documentation: Update documentation for API changes

Commit Message Format

feat: add user role management
fix: resolve JWT token expiration issue  
docs: update API documentation
test: add tests for recommendations engine
refactor: optimize database queries

📚 Documentation

Available Documentation

README.md - Main project documentation (this file)
ADMIN-DASHBOARD.md - Complete admin dashboard documentation
API.md - Detailed API reference (auto-generated)
DEPLOYMENT.md - Production deployment guide
CONTRIBUTING.md - Contribution guidelines

Additional Resources

TypeScript Documentation: https://www.typescriptlang.org/docs/
Express.js Guide: https://expressjs.com/en/guide/
MongoDB Manual: https://docs.mongodb.com/manual/
JWT.io: https://jwt.io/introduction/

❓ FAQ

General Questions

Q: What is Atlas? A: Atlas is a comprehensive backend platform providing authentication, AI-powered recommendations, content management, and administrative features for modern web applications.

Q: What technologies does Atlas use? A: Atlas is built with TypeScript, Node.js, Express.js, MongoDB, and JWT for authentication. It includes AI-powered recommendations and a full admin dashboard.

Q: Is Atlas production-ready? A: Yes! Atlas includes comprehensive error handling, security features, performance optimizations, and production deployment guides.

Technical Questions

Q: How do I set up admin access? A: Create a user account, then update their role in MongoDB: db.users.updateOne({username: 'admin'}, {$set: {role: 'admin'}})

Q: How does the recommendation system work? A: The AI recommendation engine matches user interests with content, scoring items based on relevance, recency, and popularity.

Q: Can I customize the recommendation algorithm? A: Yes! The recommendation engine in src/backend/modules/recommendations/engine.ts is fully customizable.

Q: How do I add new content types? A: Create a new MongoDB model, add CRUD routes, update the recommendations engine, and add admin management routes.

Deployment Questions

Q: How do I deploy Atlas to production?
A: See the deployment section above. Atlas supports Docker, cloud platforms (AWS, Azure, GCP), and traditional VPS deployments.

Q: What are the system requirements? A: Node.js v16+, MongoDB v4.4+, and at least 512MB RAM. Recommended: 2GB RAM and SSD storage for production.

Q: How do I scale Atlas? A: Atlas supports horizontal scaling with load balancers, MongoDB clustering, and Redis caching. See deployment documentation for details.

📋 Roadmap

Upcoming Features

🔍 Advanced Search: Elasticsearch integration for enhanced search capabilities
📧 Email System: Email notifications and verification system
📱 Mobile API: Optimized endpoints for mobile applications
🔄 Real-time Updates: WebSocket support for live data updates
📊 Advanced Analytics: Machine learning-powered analytics and insights
🌍 Internationalization: Multi-language support
🔗 Third-party Integrations: OAuth providers, social media APIs
📦 Plugin System: Extensible plugin architecture

Version History

v1.0.0 - Initial release with authentication, CRUD operations, and recommendations
v1.1.0 - Added admin dashboard with comprehensive management features
v1.2.0 - Enhanced analytics and reporting capabilities (coming soon)
v2.0.0 - Real-time features and advanced search (planned)

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

MIT License

Copyright (c) 2024 Atlas Platform

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

🙏 Acknowledgments

Express.js Community - For the excellent web framework
MongoDB Team - For the powerful NoSQL database
TypeScript Team - For enhanced JavaScript development
JWT.io - For secure authentication standards
Open Source Community - For the countless libraries and tools that make this project possible

📞 Support

Getting Help

📖 Documentation: Check the docs in this repository
🐛 Bug Reports: Open an issue on GitHub
💡 Feature Requests: Open a feature request issue
💬 Discussions: Join our GitHub Discussions
📧 Email Support: support@atlas-platform.com

Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
src		src
.env.example		.env.example
.gitignore		.gitignore
ADMIN-DASHBOARD.md		ADMIN-DASHBOARD.md
AUTH-INTEGRATION-FIXES.md		AUTH-INTEGRATION-FIXES.md
FRONTEND-AUTH-GUIDE.md		FRONTEND-AUTH-GUIDE.md
INTEGRATION-STATUS.md		INTEGRATION-STATUS.md
OppTrackLogo.png		OppTrackLogo.png
README.md		README.md
bun.lock		bun.lock
package-lock.json		package-lock.json
package.json		package.json
start-dev-full.sh		start-dev-full.sh
start-dev.ts		start-dev.ts
start-prod.js		start-prod.js
test-auth-complete.js		test-auth-complete.js
test-auth-fixes.js		test-auth-fixes.js
test-integration.js		test-integration.js
tsconfig.json		tsconfig.json

YamanDevelopment/OppTrack

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🌍 Atlas - Complete Backend Platform

🎯 Overview

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Base URL: http://localhost:3001/api

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