Omnia is a comprehensive AI chatbot platform that provides access to 13+ powerful AI models through multiple interfaces:

• 🌐 Web Application - Modern React-based landing page with user registration
• 💻 CLI Application - Beautiful Python terminal interface for developers
• 🔌 REST API - Complete backend API built with Node.js and Express
• 🗄️ Database - MongoDB for user management and chat history

• 🆓 Completely Free - No hidden costs or subscriptions
• 🚀 13+ AI Models - GPT, Gemini, DeepSeek, Llama, and more
• 🔐 Secure Authentication - JWT tokens with OTP verification
• 💬 Context-Aware - Maintains conversation history
• 📊 Analytics - Track usage and chat statistics
• 🎨 Beautiful UI - Modern web interface with scroll animations
• ⚡ Fast & Reliable - Optimized performance with rate limiting

• Modern landing page with scroll animations
• User registration with 3-step OTP verification
• Responsive design for all devices
• API documentation showcase
• Feature highlights and model listings

• Interactive terminal interface with colors
• 13+ AI model selection
• Chat history management
• Session persistence
• Profile management
• Multi-chat support
• Statistics dashboard

• RESTful API architecture
• JWT authentication
• OTP email verification
• Rate limiting (150 req/day)
• Chat management
• User profile operations
• Conversation history
• MongoDB integration

• Node.js (v14 or higher)
• Python 3.7+
• MongoDB (local or Atlas)
• Gmail account (for OTP emails)
• npm or yarn

1. Clone the repository

   git clone https://github.com/FurqanAhmadKhan/Omnia.git
   cd Omnia

2. Setup Backend Server

   cd server
   npm install
   
   # Create .env file
   cp .env.example .env
   # Edit .env with your configuration
   
   # Start server
   node index.js

3. Setup Web Client

   cd ../client
   npm install
   
   # Start development server
   npm run dev

4. Setup CLI Application

   cd ../application
   pip install -r requirements.txt
   
   # Run CLI
   python main.py

Omnia/
├── client/                 # React web application
│   ├── src/
│   │   ├── App.jsx        # Main component
│   │   ├── App.css        # Styles
│   │   └── main.jsx       # Entry point
│   ├── package.json
│   └── README.md
│
├── server/                 # Node.js backend API
│   ├── config/
│   │   └── db.js          # Database config
│   ├── controllers/
│   │   ├── userControllers.js
│   │   └── chatController.js
│   ├── middlewares/
│   │   └── auth.js        # JWT middleware
│   ├── models/
│   │   ├── userModel.js
│   │   └── chatModel.js
│   ├── routes/
│   │   ├── userRoutes.js
│   │   └── chatRoutes.js
│   ├── utils/
│   │   ├── otp.js
│   │   └── aiService.js
│   ├── index.js           # Entry point
│   ├── package.json
│   └── README.md
│
├── application/            # Python CLI application
│   ├── main.py            # CLI entry point
│   ├── requirements.txt
│   ├── OmniaCLI.spec      # PyInstaller spec
│   └── README.md
│
├── .gitignore
└── README.md              # This file

1. Visit the website
2. Navigate to the registration section
3. Enter your email and receive OTP
4. Complete registration
5. Use credentials in CLI or API

python main.py

Available Commands:

• --new - Create new chat
• --model - Change AI model
• --history - View chat history
• --stats - Show statistics
• --list - List all chats
• --continue - Continue existing chat
• --rename - Rename current chat
• --delete - Delete current chat
• --profile - View profile
• --help - Show help
• --exit - Exit application

Base URL: https://omnia-cli-server.vercel.app/api

Example: Register User

const response = await fetch('https://omnia-cli-server.vercel.app/api/user/register', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    name: 'John Doe',
    email: '[email protected]',
    password: 'SecurePass123',
    otp: '123456'
  })
});

See client/README.md for:

• Web application features
• Customization guide
• Deployment instructions
• Animation details

See server/README.md for:

• Complete API reference
• Authentication flow
• Rate limiting details
• Error handling
• Database schema

See application/README.md for:

• CLI commands
• Model selection
• Chat management
• Building executables

1. Standard - Default balanced model
2. Online - Web-connected model
3. DeepSeek V3.2 - Advanced reasoning
4. Gemini 2.5 Flash Lite - Fast Google AI
5. GPT-4.1 Nano - Compact GPT variant
6. GPT OSS 120B - Open-source GPT
7. Gemma 3 12B - Google's Gemma
8. Qwen3 30B - Alibaba's model
9. GPT-5 Nano - Next-gen compact
10. Llama 3.3 70B Instruct - Meta's flagship
11. Llama 3.1 8B Instant - Fast Llama
12. Llama 4 Scout - Latest Meta model
13. Gemma2 9B - Updated Gemma

Create server/.env:

# Server
PORT=3000
NODE_ENV=development

# Database
MONGODB_URI=mongodb://127.0.0.1:27017/Omnia

# JWT
JWT_SECRET=your_jwt_secret_key

# Email (Gmail)
GMAIL_USER=[email protected]
GMAIL_APP_PASSWORD=your_gmail_app_password

# CORS
CORS_ORIGIN=http://localhost:3000
FRONTEND_URL=http://localhost:5173

# Rate Limiting
ADMIN_IPS=127.0.0.1,::1

Update API endpoint in client/src/App.jsx:

const BASE_URL = 'https://omnia-cli-server.vercel.app/api';

API endpoint is set in application/main.py:

BASE_URL = "https://omnia-cli-server.vercel.app/api"

• ✅ JWT-based authentication
• ✅ Password hashing with bcrypt
• ✅ OTP email verification
• ✅ Rate limiting (150 requests/day)
• ✅ Input validation
• ✅ CORS protection
• ✅ Admin IP whitelisting
• ✅ Secure session management

1. Push code to GitHub
2. Import project in Vercel
3. Set environment variables
4. Deploy

cd client
npm run build
# Deploy 'dist' folder

cd application
pyinstaller OmniaCLI.spec
# Executable in 'dist' folder

• 150 requests per 24 hours for all API routes
• Admin IPs are exempt

• 100 requests per 15 minutes for /api/user/*
• Excludes GET profile endpoint

Contributions are welcome! Please follow these steps:

1. Fork the repository
2. Create a feature branch

   git checkout -b feature/AmazingFeature

3. Commit your changes

   git commit -m 'Add some AmazingFeature'

4. Push to the branch

   git push origin feature/AmazingFeature

5. Open a Pull Request

• Follow existing code style
• Write clear commit messages
• Update documentation
• Test thoroughly before submitting
• Add comments for complex logic

MongoDB Connection Failed

# Check if MongoDB is running
mongod --version

# Start MongoDB service
# Windows: net start MongoDB
# Linux: sudo systemctl start mongod
# Mac: brew services start mongodb-community

Port Already in Use

# Change PORT in server/.env
PORT=3001

OTP Not Received

• Check Gmail credentials in .env
• Enable "Less secure app access" or use App Password
• Check spam folder

CLI Import Errors

pip install -r requirements.txt --upgrade

This project is licensed under the ISC License.

Furqan Ahmad Khan

• 🌐 Portfolio: furqan-ahmad-khan.vercel.app
• 📧 Email: [email protected]
• 💼 GitHub: @FurqanAhmadKhan

• React team for the amazing library
• Vite for the blazing-fast build tool
• Framer Motion for smooth animations
• Express.js community
• MongoDB team
• Python community
• All open-source contributors

For issues, questions, or contributions:

• 🐛 Report Bug
• 💡 Request Feature
• 📖 View Documentation

• Mobile application (React Native)
• Real-time chat with WebSockets
• Voice input/output
• Image generation support
• Team collaboration features
• Custom model training
• Plugin system
• Multi-language support

• 13+ AI Models available
• 3 Platforms (Web, CLI, API)
• 100% Free forever
• Open Source MIT licensed