Building a personal meeting assistant that routes through your existing audio (techstackups.com)

A new personal voice assistant named Otto has been developed to enhance meeting experiences by operating locally on users' machines. Unlike traditional AI assistants integrated into platforms like Google Meet or Zoom, Otto captures audio directly from existing audio devices, allowing it to function without joining the meeting as a participant. Utilizing technology from Deepgram, it can transcribe conversations in real time and respond audibly, ensuring seamless interaction during discussions. Anyone in the meeting can activate Otto using a wake word, making its capabilities accessible to all attendees. This innovation is significant for the AI/ML community as it emphasizes local processing, ensuring that sensitive data remains on the user's machine while maintaining robust voice interaction capabilities. The use of Deepgram's Listen API enhances real-time transcription and speaker identification through features like diarization and keyterm prompting. Additionally, the Speak API provides responsive, natural-sounding replies by converting text to audio almost instantly. The complete project is open-sourced on GitHub, offering developers the opportunity to customize and implement the solution for their own use, paving the way for more personalized and efficient meeting experiences.