Ghost in the Machine: Keep Family Stories Alive with Local AI

说明与用途

Ghost in the Machine 是一个本地化的应用，使用 Whisper 进行录音转写并存档家庭故事，确保数据保存在用户机器上，保障隐私与独立性。

问题

Preserving family oral histories without relying on cloud AI services and ensuring privacy.

结果

The prototype demonstrates a fully local workflow for capturing, transcribing, and archiving family stories, eliminating cloud dependencies and preserving privacy.

工作流

• Record or upload an audio file
• Transcribe speech using Whisper via faster‑whisper
• Review and edit the transcript
• Add title, date, and tags
• Save to JSON archive
• Search or export stories

证据

I built Ghost in the Machine, a local-first oral-history archive designed to help preserve family stories and memories before they are lost.

来源

The application lets users: 1.Record a story or upload an audio recording. 2.Transcribe speech using an open-weight Whisper model through faster-whisper.

来源

The speech model is loaded on the machine running the application. Its weights may need to be downloaded on first use; once cached, transcription can run locally without sending audio to a hosted AI API.

来源

Using an open-weight model and an inspectable codebase makes this project easier to study, adapt, and run independently.

来源