Developer Builds Zero-Cost AI Meeting Participant Using Gemini Live and Open-Source Tools

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A developer built a fully functional AI participant for Google Meet that transcribes Japanese speech, generates responses, and speaks them back — at zero per-minute cost by replacing paid APIs with open-source alternatives. The stack used Attendee, a self-hosted meeting bot, alongside Google Meet's native captions and Gemini Live's speech-to-speech model to cut billing from three vendors down to one. Several technical hurdles emerged during setup, including a silent bind-mount failure in Colima that caused a missing file error with no warning, resolved by moving the project directory under the home folder. A feedback loop bug caused the bot to read its own spoken replies back as new input, inflating response times and confusing the human participant on the call. The project revealed that perceived problems with model intelligence and latency were largely infrastructure issues, not model limitations.

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