AdminAI

AdminAI is a modern, AI-powered administration dashboard that combines powerful backend services with an intuitive frontend interface. Built with TypeScript, React, and Node.js, it provides real-time monitoring, analytics, and AI-assisted system management capabilities.

Features

• 🤖 AI-powered system analysis and recommendations
• 📊 Real-time monitoring and metrics visualization
• 🔄 WebSocket-based real-time communication
• 🎯 Customizable dashboard components
• 🛠 Advanced system management tools
• 🔒 Secure authentication and authorization
• 📱 Responsive design for all devices
• 🔍 Comprehensive metrics and insights
• 🧠 Multiple AI provider integrations

Tech Stack

Frontend

• React with TypeScript
• Vite for build tooling
• Three.js for 3D visualizations
• Socket.IO Client for WebSocket communication
• Material-UI components
• Redux for state management

Backend

• Node.js with TypeScript
• Express.js for API endpoints
• Socket.IO for WebSocket server
• PostgreSQL database
• Redis for caching and session management
• Bull for job queues and background processing
• TypeORM for database operations

Project Structure

.
├── packages/
│   ├── frontend/        # React frontend application
│   ├── backend/         # Node.js backend server
│   └── shared/          # Shared types and utilities
├── docs/               # Documentation
└── README.md          # This file

Getting Started

Prerequisites

• Node.js 18 or higher
• Yarn package manager
• PostgreSQL 14 or higher
• Redis 6 or higher

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/admin-ai.git
   cd admin-ai

2. Install dependencies:

   yarn install

3. Set up environment variables:

   cp packages/frontend/.env.example packages/frontend/.env
   cp packages/backend/.env.example packages/backend/.env

4. Start the development servers:

   yarn dev

The frontend will be available at http://localhost:5173 and the backend at http://localhost:3000.

Development

Frontend Development

cd packages/frontend
yarn dev

Backend Development

cd packages/backend
yarn dev

Building for Production

yarn build

Documentation

Detailed documentation is available in the docs directory:

• Architecture Overview - Comprehensive documentation of the system architecture, including frontend and backend structures, communication patterns, data flows, security measures, and deployment options.

• API Documentation - Complete API reference including REST endpoints, WebSocket events, authentication methods, error handling, and rate limiting details.

Key Features

Real-time Communication

AdminAI uses WebSockets to provide real-time updates and communication between the client and server. This enables:

• Live system metrics updates
• Real-time AI assistant interactions
• Instant notifications and alerts
• Collaborative features

AI Integration

The platform integrates with multiple AI providers to offer:

• System performance analysis and recommendations
• Schema and CRUD generation
• Dashboard widget suggestions
• Natural language interactions

Comprehensive Monitoring

AdminAI provides detailed monitoring capabilities:

• System health metrics
• Request analytics
• Geographic data visualization
• AI usage statistics
• Performance and security insights

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

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

Support

For support, please open an issue in the GitHub repository or contact the maintainers.