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

Описание и применение

Ghost in the Machine – локальное приложение для записи, транскрипции и хранения семейных историй без обращения к облачным сервисам, обеспечивая конфиденциальность и автономность.

Задача

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

Результат

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

Рабочий процесс

• 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

Доказательства

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

Источник

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.

Источник

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.

Источник

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

Источник