Network Sensory Monitor — Advanced

A real-time network intelligence and visualization tool built using Python + Tkinter that monitors network stability and simulates core computer networking concepts in an interactive GUI.

This project combines real diagnostics (latency, jitter, packet loss, bandwidth via Speedtest) with educational simulations (routing, congestion control, QoS, packet scheduling).

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Features

Real-Time Network Monitoring

• Live ping monitoring
• Latency, jitter, and packet loss tracking
• Network Stability Index (NSI)
• QoS classification (EF / AF / BE)

Real Bandwidth Testing

• Integrated Ookla Speedtest CLI support
• Real download/upload speeds
• Background testing (non-blocking UI)

Networking Simulations

• Routing algorithm visualization (distance vector model)
• TCP congestion window simulator
• Packet scheduling (WFQ / RR / Priority queues)
• QoS classification visualization

Network Awareness

• ARP table monitoring (basic spoof detection)
• DNS resolution timing
• Gateway MAC tracking

GUI Highlights

• Smooth animated network status indicator
• Interactive popups for each simulation module
• Live dashboard metrics

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Tech Stack

• Python 3.x
• Tkinter (GUI)
• Ookla Speedtest CLI
• Threading + Subprocess modules

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📁 Project Structure

Network Monitor/
│
├── network_sensory_monitor_advanced.py   # Main application
├── speedtest.exe                        # Ookla Speedtest CLI (Windows)
└── README.md

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Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/YOUR_USERNAME/network-sensory-monitor.git
cd network-sensory-monitor

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2️⃣ Install Python Requirements

This project uses mostly built-in libraries.

Optional (for sound support on non-Windows):

pip install simpleaudio numpy

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3️⃣ Setup Speedtest CLI

Option A — Windows (Already included)

• speedtest.exe is bundled in this repo
• No extra setup needed

Option B — Mac/Linux

Install Ookla Speedtest CLI:

# Ubuntu/Debian
sudo apt install speedtest-cli

# Or install official Ookla CLI from:
https://www.speedtest.net/apps/cli

Make sure speedtest is available in PATH.

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▶️ How to Run

python network_sensory_monitor_advanced.py

Then:

1. Click Start Monitoring

2. Watch real-time network metrics

3. Use buttons to explore simulations:

   • Routing View
   • Congestion View
   • Queues View
   • ARP / DNS
   • Run Speedtest Now

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What You Can Learn From This Project

This project demonstrates practical understanding of:

• Computer Networks fundamentals
• TCP congestion control
• Routing algorithms
• QoS and traffic prioritization
• Network diagnostics tools
• GUI system design
• Multithreading in Python

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Demo Ideas (Optional)

• Add screenshots of GUI here
• Add GIF of live monitoring

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💡 Future Improvements

• Dark mode / cyberpunk UI
• Export network logs
• Web dashboard version
• AI-based network anomaly detection

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🧑Author

Built by H M Akshay — Computer Science Undergraduate focused on systems, networking, and high-performance engineering.

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If you found this useful

Give the repo a star and feel free to fork