ronibandini/reggaetonBeGone
Detects reggaeton genre with Machine Learning and sends packets to disable BT speakers (hopefully) observed · 2026-09-03
Health v2 · maintenance only
70/100
- Activity 99
- Release rhythm 35
- Longevity 66
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 925
- days_rel: n/a
- days_push: 11
- n_releases_24m: 0
Adoption not part of the score
1005 stars · 118 forks observed · 2026-09-03
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Raspberry Pi-based edge machine learning device that continuously samples ambient audio and uses an Edge Impulse audio classification model to detect reggaeton music. When detection confidence exceeds a threshold, it triggers a Bluetooth test routine against a configured nearby speaker, inspired by TV-B-Gone.
Use cases
- detect reggaeton music playing nearby with machine learning
- classify music genre from ambient audio on a Raspberry Pi
- run Edge Impulse audio inference on edge hardware
- build a TV-B-Gone style device for Bluetooth speakers
- experiment with Bluetooth routines triggered by audio classification
- display ML inference confidence on an OLED screen
When to choose
- you want a fun maker project combining edge ML, Raspberry Pi, and Bluetooth experimentation
- you need local audio genre classification on ARM hardware without cloud services
- you want a hardware reference for Edge Impulse .eim models with OLED and button peripherals
When to avoid
- you need a reliable or legal way to disable other people's Bluetooth speakers
- you need production-grade audio classification or general music genre recognition
- you want a portable solution without a Raspberry Pi (the author's Pocket Gone is simpler)
- you need supported, maintained software rather than an experimental novelty build
Facets
application · maturity experimental
machine-learning audio-processing speech-recognition security machine-learning hardware developer-tools python embedded edge-ml raspberry-pi edge-impulse bluetooth music-genre-classification audio-classification oled-display novelty-project audio linux
2 sources
- readme: https://github.com/ronibandini/reggaetonBeGone · fetched 2026-09-03 · 24f83cf57377
- homepage: https://bandini.medium.com/reggaeton-be-gone-6fa55f46a9d7 · fetched 2026-08-29 · 4a164dd8d69f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ronibandini/reggaetonBeGone | main | 70 |
For agents
markdown · JSON · MCP: product_card(name="ronibandini/reggaetonBeGone")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem