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This project combines AI and blockchain to create a scalable, transparent, and sustainable Micro ISP solution for underserved regions.

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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]
  1. Set up the ISP Simulator:
cd isp-simulator
python -m venv myenv
source myenv/bin/activate
pip install -r requirements.txt
  1. Set up the ICP backend:
cd icp-backend
dfx start --background
dfx deploy
  1. Set up the frontend:
cd frontend
npm install
  1. 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
  1. Start the local ICP replica (if not already running):
cd icp-backend
dfx start
  1. Run the frontend development server:
cd frontend
npm run dev
  1. Monitor the network through the dashboard at http://localhost:5173

Features

  • Real-time network monitoring
  • OpenAI-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


Built with Innovation & Technology

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This project combines AI and blockchain to create a scalable, transparent, and sustainable Micro ISP solution for underserved regions.

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