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Show HN: NetNerve AI-powered packet analysis that explains .cap in plain English

2•bhatshubham•3h ago
I built NetNerve!

What It Does

NetNerve takes your .pcap files and uses AI (LLaMA-3 via Groq) to translate raw network data into actionable security insights. Instead of staring at TCP flags and port numbers, you get plain English explanations of what's actually happening in your network traffic.

Tech Stack & Challenges

Frontend: Next.js 14 with TypeScript for the interface

Backend: FastAPI with Python/Scapy for packet processing

AI: LLaMA-3 via Groq API for analysis

Architecture: Privacy-first - files processed in memory, never stored

Try it: https://netnerve.vercel.app (supports .pcap/.cap files up to 2MB)

Looking for feedback from anyone who deals with packet analysis regularly - what would make this more useful for your workflow? Are there specific protocols or attack patterns you'd want better coverage for?