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title: DIY WiFi Analyzer Sniffs Out Congestion And Coverage...
description: Roni Bandini built the JEV WiFi Analyzer, combining a single-board Linux computer, a USB WiFi adapter, and a decision-making AI model to monitor WiFi networks....
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og:description: Roni Bandini built the JEV WiFi Analyzer, combining a single-board Linux computer, a USB WiFi adapter, and a decision-making AI model to monitor WiFi networks....
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# DIY WiFi Analyzer Sniffs Out Congestion And Coverage Issues, Suggests Fixes

**[Hackaday](https://daily.dev/sources/hackaday)** · 2 min read · 0 upvotes · 0 comments

## Summary

Roni Bandini built the JEV WiFi Analyzer, combining a single-board Linux computer, a USB WiFi adapter, and a decision-making AI model to monitor WiFi networks. A Python program connects to WiFi, cycles through channels, and uses scapy to gather signal strength, client count, and frames per second for each channel. That data feeds into Jev, an AI model that only outputs numbers representing bounded decisions, never text or images. Jev classifies the network's coverage and congestion level and suggests basic remedial actions. The AI isn't making particularly deep analyses, and the source wonders whether similar models integrated with other hardware could become a branch of projects.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://hackaday.com/2026/10/31/diy-wifi-analyzer-sniffs-out-congestion-and-coverage-issues-suggests-fixes>

## Questions this post answers

### What is a decision-making AI model like Jev that only outputs numbers instead of text?

Jev is a decision-making AI model that cannot generate text or images and outputs only numbers representing bounded decisions. It is used in the JEV WiFi Analyzer to classify a WiFi network's coverage and congestion level and to suggest basic remedial actions, based on raw channel data like signal strength, client count, and frames per second gathered via Python and scapy.

_Exploring decision-only AI models for embedded projects is easier with daily.dev surfacing similar builds._

### How can I build a WiFi analyzer using a single-board computer and Python?

One approach uses a single-board Linux computer with a USB WiFi adapter running a Python program that connects to WiFi, cycles through available channels, and uses the scapy library to collect signal strength, client counts, and frames per second per channel. That raw data is then fed to a decision-making AI model to classify coverage and congestion and suggest fixes.

_Developers prototyping networking hardware projects follow builds like this on daily.dev._

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---

Tags: [#python](https://daily.dev/tags/python), [#hardware](https://daily.dev/tags/hardware)

[View this post on daily.dev](https://daily.dev/posts/diy-wifi-analyzer-sniffs-out-congestion-and-coverage-issues-suggests-fixes-ewlw76ntf)

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