PacketMind: My Take on Building a Smarter DPI Tool with Azure AI

Just wanted to share a small but meaningful project I recently put together PacketMind.

It’s a lightweight Deep Packet Inspection (DPI) tool designed to help detect suspicious network traffic using Azure’s AI capabilities. And, honestly, this project is a personal experiment that stemmed from one simple thought:

Why does DPI always have to be bulky, expensive, and stuck in legacy systems?

I mean, think about it. Most of the time, we have to jump through hoops just to get basic packet inspection features, let alone advanced AI-powered traffic analysis. So I figured – let’s see how far we can go by combining Azure’s language models with some good old packet sniffing on Linux.

What’s Next?

Let’s be honest – PacketMind is an early prototype. There’s a lot I’d love to add:

- GUI Interface for easier use

- Custom Model Integration (right now it’s tied to a specific Azure model)

- More Protocol Support – think beyond HTTP/S

- Alerting Features – maybe even Slack/Discord hooks

But for now, I’m keeping it simple and focusing on making the core functionality solid.

Why Share This?

You know, I could’ve just kept this as a side project on my machine, but sharing is part of the fun. If even one person finds PacketMind useful or gets inspired to build something similar, I’ll consider it a win.

So, if you’re into networking, AI, or just like to mess with packet data for fun – check it out. Fork it, test it, break it, and let me know how you’d make it better.

Here’s the repo: https://github.com/DrHazemAli/packetmind

Would love to hear your thoughts, suggestions, or just a thumbs up if you think it’s cool.

Cheers!