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AtlasRepo

A transcript is a record. Minutes are a promise

说明与用途

使用 Whisper 和 LM Studio 的本地会议记录系统生成结构化会议纪要,包含行动项和负责人,确保责任落实和便捷检索。

问题

Meeting participants often forget action items and decisions, leading to missed deadlines and accountability gaps.

结果

The system enabled the author to reliably capture commitments, retrieve them quickly, and hold participants accountable without relying on external services or subscriptions.

工作流

  • 1. Start the local recording app before the meeting.
  • 2. Record mic and system audio from the chosen platform.
  • 3. Whisper transcribes the audio locally.
  • 4. LM Studio processes the transcript to produce Summary, Key Decisions, Action Items, Open Questions.
  • 5. Action items include owner and due date when specified.
  • 6. Save the output as Markdown/PDF in a dedicated folder.
  • 7. Refer to the file for follow‑ups and accountability checks.

证据

I run the thing I built for every meeting I'm in. It records mic and system audio (Teams, Zoom, Meet, or a room full of people), transcribes it locally with Whisper, then a small language model I run in LM Studio writes it up as Summary, Key Decisions, Action Items, Open Questions.

来源

Everything runs on my own hardware. Windows 10/11, Python 3.10+, and LM Studio with any small model loaded. It works on a plain CPU — a GPU just makes transcription faster.

来源

  • 记录日期: 2026-09-09T13:16:43.275Z