🌐 Micro ISP Project

🚀 A comprehensive solution for managing and optimizing Internet Service Provider operations using AI, blockchain technology, and network simulation.

🎯 Overview

This project implements a modern approach to ISP management by combining:

• 📊 Network simulation and monitoring
• 🤖 AI-driven bandwidth optimization with OpenAI GPT-4
• ⛓️ Internet Computer Protocol (ICP) for decentralized backend
• 📈 Real-time analytics dashboard

📁 Project Structure

micro-isp-project/
├── 🧠 ai-services/          # AI integration with OpenAI GPT-4
├── ⛓️ icp-backend/          # Internet Computer Protocol canisters
├── 🎨 frontend/             # React & JavaScript dashboard
└── 🌐 isp-simulator/        # Network simulation environment

🔧 Components

🌐 ISP Simulator

• 🔄 Simulates network topology and bandwidth allocation
• 📡 Implements real-time network monitoring
• 🖧 Uses Mininet for network emulation
• 🤖 Provides AI-driven bandwidth optimization suggestions

⛓️ Internet Computer Protocol Backend

• 🌐 Decentralized cloud computing platform
• 📝 Smart contracts for bandwidth allocation
• 🔍 Transparent bandwidth management
• 📊 Secure and scalable data storage
• 💻 Developed with Motoko or Rust

🎨 Frontend Dashboard

• 📊 Real-time network metrics visualization
• 🗺️ Network topology viewer
• 🤖 AI insights display
• 🎛️ Bandwidth allocation management
• ⚛️ Built with React and JavaScript

🧠 AI Services

• 🤖 OpenAI GPT-4 integration
• 📊 Predictive bandwidth analytics
• 🔧 Optimization algorithms
• 📈 Usage pattern analysis

🚀 Getting Started

📋 Prerequisites

• 🐍 Python 3.12+
• 📦 Node.js
• 🌐 Mininet
• ⛓️ DFINITY SDK (dfx) for Internet Computer development
• 🔑 OpenAI API access

⚙️ Installation

1. Clone the repository:

git clone [repository-url]

2. Set up the ISP Simulator:

cd isp-simulator
python -m venv myenv
source myenv/bin/activate
pip install -r requirements.txt

3. Set up the ICP backend:

cd icp-backend
dfx start --background
dfx deploy

4. Set up the frontend:

cd frontend
npm install

5. Configure AI services:

cd ai-services
python -m venv myenv
source myenv/bin/activate
pip install -r requirements.txt
# Configure your OpenAI API key in .env file

🎮 Usage

1. Start the network simulation:

cd isp-simulator
sudo python network_simulator.py

2. Start the local ICP replica (if not already running):

cd icp-backend
dfx start

3. Run the frontend development server:

cd frontend
npm run dev

4. Monitor the network through the dashboard at http://localhost:5173 🌐

✨ Features

• 📊 Real-time network monitoring
• 🤖 GPT-4 powered bandwidth optimization
• ⛓️ Decentralized backend on Internet Computer
• 🗺️ Interactive network topology visualization
• 📈 Bandwidth usage analytics
• 📝 Smart contract integration
• 🔄 Automated network management

🤝 Contributing

1. Fork the repository
2. Create your 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

📄 License

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

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🌟 Built with Innovation & Technology 🌟