[Suggestion] Django Channels real-time transcription with WebSocket (Python)

[deepgram-robot]

What to build

A Django application using Django Channels for WebSocket support that captures browser microphone audio and streams it to Deepgram's live STT API in real-time, displaying transcription results on the page.

Why this matters

Django is the most popular Python web framework with a massive developer base. Django Channels extends Django with WebSocket support, making it the natural choice for real-time voice features in Django applications. Developers building voice-enabled Django apps currently have no reference showing how to bridge Django Channels WebSockets with Deepgram's streaming API. This covers the largest Python web framework gap.

Suggested scope

• Language: Python 3.11+
• Framework: Django 5.x + Django Channels
• Deepgram APIs: Live STT (WebSocket), Nova-3 model
• Architecture: Browser mic → Django Channels WebSocket consumer → Deepgram WebSocket → transcript back to browser
• Complexity: Medium — Django project + Channels consumer + simple HTML/JS frontend

Acceptance criteria

• Runnable with minimal setup (clone, add API key, run)
• README explains the pattern clearly
• Uses current SDK version (deepgram-sdk)
• API key stays server-side
• Uses Django Channels ASGI consumer pattern
• Includes simple HTML page with mic capture (no separate frontend build)

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Raised by the DX intelligence system.

[github-actions]

Thanks for the suggestion! I've queued this for the team.

The Engineer will research and build a Django Channels + Deepgram Live STT real-time transcription example. I'll update this issue when a PR is ready.

If you have more context (preferred language, specific API you want to use, or credentials you have access to), feel free to add it here — it helps the build go faster.

[github-actions]

Queued as a new example. Tracking in #65.