Upload business meeting recordings and automatically extract requirements, action items, and key decisions using AI. Turn conversations into structured documentation.
90% time saved on documentation
Client
Business Process Automation
Timeline
6 weeks
Role
Full-Stack Developer & AI Integration
Business meetings generate valuable information—requirements, decisions, action items—but this knowledge often gets lost or requires hours to document manually. I built a system that automatically transcribes, analyzes, and structures meeting content.
An end-to-end pipeline that handles everything from file upload to structured output, using multiple AI models for different tasks.
FFmpeg-based pipeline handles MP3, MP4, WAV, and video files. Automatic audio extraction and optimization for transcription.
Identifies different speakers in the recording, attributing statements and action items to specific participants.
Google's Gemini AI for accurate transcription with support for multiple languages and technical terminology.
Separate AI passes to identify requirements, decisions, action items, and follow-ups with confidence scoring.
Clean, formatted documentation ready for project management tools, wikis, or direct stakeholder distribution.
AI
Backend
Processing
Frontend
Infrastructure
90%
Time saved vs manual
<5min
Processing for 1hr meeting
95%+
Transcription accuracy
100%
Action items captured
The system transforms how teams handle meeting documentation. What used to take hours of manual note-taking and follow-up now happens automatically. Teams get structured, actionable output within minutes of the meeting ending.
If you're looking to automate document processing, content extraction, or similar workflows, let's discuss your use case.
Discuss Your Project