Advanced QIE Blockchain Validator & Security Monitoring Dashboard

BridgeGuard AI is a next-generation validator dashboard that combines real-time blockchain monitoring with AI-powered anomaly detection. It is designed to secure the QIE network by identifying suspicious transaction patterns across bridges.

• QIE Validator: Full validator node setup and management
• Real-time Monitoring: Track validator status, voting power, and uptime
• AI Anomaly Detection: ML-powered transaction analysis for risk assessment
• Cross-Chain Analytics: Visual insights into bridge traffic and liquidity
• Database Layer: SQLAlchemy models for bridges, transactions, validators, alerts
• Live Transaction Feed: Dynamic updates of mainnet activity

• Python 3.12+
• Node.js 16+
• WSL2 (for Windows users)

1. Clone the repository

   git clone https://github.com/sunnyshin8/BridgeGuard-AI.git
   cd BridgeGuard-AI

2. Setup Python Environment

   python -m venv venv
   venv\Scripts\activate  # Windows
   pip install -r requirements.txt

3. Initialize Database

   python backend/manage_db.py init
   python backend/manage_db.py seed

4. Setup QIE Validator

   # Setup node
   python backend/qie_setup_manager.py setup
   
   # Register validator
   python backend/qie_validator_manager.py full

5. Run Backend

   python backend/app.py

6. Run Frontend

   cd frontend
   npm install
   npm run dev

   The app will open at http://localhost:3000

• Frontend: Next.js, Tailwind CSS, React
• Backend: Flask (Python), SQLAlchemy, Alembic
• Database: SQLite (dev), PostgreSQL (prod)
• Blockchain: QIE Network V3 Mainnet
• ML: TensorFlow, scikit-learn
• Validator: QIE Node (qied)

• Database Schema
• QIE Validator Setup
• Implementation Guide

Contributions are welcome! Please open an issue or submit a pull request.

Built with ❤️ for the QIE Community