inboxpraveen / LLM-Minutes-of-Meeting
Turn audio and video recordings into transcripts, decisions and action items. Supports local models, cloud providers and background jobs you can retry.
Why this job: topics: speech-recognition, whisper, speech-to-text
What it does
- Your choice of transcription. Deepgram, AssemblyAI, ElevenLabs Scribe, Sarvam AI, any
- Your choice of LLM. any OpenAI-compatible API: OpenAI, OpenRouter, Groq, Together, Fireworks,
- Speaker-labelled transcripts so decisions and action items get attributed correctly
- Any meeting length. long recordings are transcribed and summarised in parts, then merged, so
- Real background jobs. Celery and Redis, with live progress, an activity log, cancel and retry
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 174
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 64% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 64%
- HTML 25%
- JavaScript 6%
- CSS 5%
Topics
- huggingface
- llm
- llm-inference
- meeting-minutes
- natural-language-processing
- nlp
- python
- speech-recognition
- speech-to-text
- transformers
- whisper
Project record
- JobSpeech and audio
- StatusListed
- Commits37
- Forks19
- Watching3
- Stars in 28 days0
- CreatedOct 11, 2023
- First seen by usNov 7, 2026
- CheckedNov 7, 2026