Network Digital Twin

A real-time simulation and optimization platform for network behavior analysis, congestion visualization, fault prediction, and performance enhancement.

Features

• Traffic Simulation: Generate and analyze dynamic traffic patterns.
• Fault Prediction: Predict network issues using real-time monitoring and thresholds.
• Real-Time Visualization: Interactive network topology and performance dashboards.
• Traffic Optimization: Optimize routes to alleviate congestion and enhance throughput.
• Data Logging: Log traffic and performance metrics for historical analysis.

Installation

Clone the project

  git clone https://github.com/anjalichaturvedi/network-digital-twin
  cd network-digital-twin

Install dependencies

  pip install networkx pandas streamlit

Run the application

  streamlit run app.py

Tech Stack

Programming Language: Python

Frameworks:

• Streamlit (User Interface)
• Plotly (Visualization)

Libraries: NetworkX, Pandas