MeetingMind AI

Transform meetings into structured, multilingual minutes instantly. Powered by Gemini 3 Pro, it turns audio into actionable insights with AI Q&A capabilities.

Comment

Inspiration

Meetings are crucial for collaboration, but manually taking notes is tedious and error-prone. We wanted to create an intelligent assistant that doesn't just transcribe—it understands, organizes, and makes meeting content actionable.

What it does

MeetingMind AI transforms meeting audio into clean, structured minutes using Gemini 3 Pro's native multimodal capabilities. Key features include:

  • Dual Input Modes: Live recording with real-time audio visualization or file upload (MP3, WAV, M4A, WEBM)
  • Intelligent Analysis: Generates executive summaries, key discussion points, and action items with priorities
  • Multilingual Support: Seamlessly switches between languages (e.g., Chinese/English) for both input and output
  • AI Q&A: Ask questions about specific meeting details without re-listening to the entire recording
  • Professional Delivery: Export as PDF or copy formatted text for immediate sharing
  • Complete Transcription: View full meeting transcripts alongside structured summaries

How we built it

  • Frontend: React with Tailwind CSS for a modern UI design
  • AI Engine: Gemini 3 Pro API with native audio processing—no traditional STT pipeline needed
  • Audio Processing: Browser's MediaRecorder API and Web Audio API for real-time visualization
  • Structured Output: responseSchema in Gemini API ensures consistent JSON formatting

Challenges we ran into

  • Handling microphone permissions across different browsers and secure contexts
  • Optimizing the prompt engineering to get reliable multilingual responses
  • Balancing detail in transcriptions vs. concise action items
  • Implementing smooth PDF generation from complex HTML layouts

Accomplishments

  • Successfully leveraged Gemini's multimodal capabilities for direct audio understanding
  • Built a production-ready tool that saves hours of manual work per meeting
  • Created an intuitive bilingual interface that adapts to user preferences
  • Achieved professional-grade document formatting suitable for client delivery

What we learned

  • The power of native multimodal AI vs. traditional two-step STT+LLM approaches
  • Importance of constraint relaxation for audio device handling
  • User experience design for AI-powered productivity tools
  • Advanced prompt engineering for structured JSON outputs

What's next

  • Speaker diarization to identify different participants
  • Calendar integration for automatic meeting scheduling
  • Team collaboration features for shared meeting repositories
  • Custom templates for different meeting types (standup, review, planning)

Built With

  • apimediarecorder
  • apireacttypescripttailwind
  • audio
  • cssweb
  • gemini
  • google
Share this project:

Updates