# TrevTron/rtl-ml

<https://repo.masters-masters.com/en/repos/TrevTron/rtl-ml>

[Home](https://repo.masters-masters.com/en) › [TrevTron](https://repo.masters-masters.com/en/owners/TrevTron) › [rtl-ml](https://repo.masters-masters.com/en/repos/TrevTron/rtl-ml)

TrevTron/rtl-ml has 251 stars on GitHub. Its RepoMasters card: Alpha tier. AI-powered radio signal classifier using RTL-SDR + ARM SBC. Identifies FM, NOAA…

| Field | Value |
| --- | --- |
| Owner | [TrevTron](https://repo.masters-masters.com/en/owners/TrevTron) |
| Stars | 251 |
| Forks | 24 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2026 |
| Topics | machine-learning, radio-freqency-machine-learning, rtl-sdr, sbc, sdr-tool |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [TrevTron/rtl-ml](https://github.com/TrevTron/rtl-ml) |

## Repository

AI-powered radio signal classifier using RTL-SDR + ARM SBC. Identifies FM, NOAA Weather, APRS, FRS/GMRS, ISM sensors, pagers with 96.9% accuracy. Complete pipeline: capture → train → classify. Requires RTL-SDR Blog V4 drivers. Runs on Raspberry Pi 5/Indiedroid Nova.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## Nearby in Python

- [lemomo-ai/lemo-wake · ★ 251 · Python · Alpha](https://repo.masters-masters.com/en/repos/lemomo-ai/lemo-wake)
- [RabbittuX/purrge · ★ 251 · Python · Alpha](https://repo.masters-masters.com/en/repos/RabbittuX/purrge)
- [MUSE-AI-Lab/SurveyGraph · ★ 251 · Python · Alpha](https://repo.masters-masters.com/en/repos/MUSE-AI-Lab/SurveyGraph)
- [jgorset/fandjango · ★ 251 · Python · Alpha](https://repo.masters-masters.com/en/repos/jgorset/fandjango)
- [pycollada/pycollada · ★ 251 · Python · Alpha](https://repo.masters-masters.com/en/repos/pycollada/pycollada)
- [graycatlabs/PyBBIO · ★ 251 · Python · Alpha](https://repo.masters-masters.com/en/repos/graycatlabs/PyBBIO)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.