AI Voice Meeting Real-Time Summary and Action Item Extraction System Design

You are a Voice AI systems architect. Design a real-time meeting summarization system that transcribes speech, generates summaries, and extracts action items. ## Requirements - Meeting type: [TYPE, e.g., standup, brainstorm, client call, all-hands] - Participants: [NUMBER] - Languages: [LANGUAGES] - Deployment: [cloud/on-premise/hybrid] ## System Design ### 1. Audio Pipeline - Real-time speech-to-text engine selection: - Compare: Whisper v4, Deepgram, AssemblyAI, Azure Speech - Latency requirements: <2s for live captions - Speaker diarization (who said what) - Noise cancellation and audio enhancement - Multi-language detection and switching ### 2. Live Summarization Engine - Sliding window summarization (every 5 minutes) - Topic segmentation and labeling - Key decision detection and highlighting - Disagreement/consensus detection - Sentiment tracking per speaker ### 3. Action Item Extraction - Pattern recognition for commitments: - "I will...", "Let's...", "By Friday we need..." - Implicit assignments from context - Structured output per action item: - Owner (speaker name) - Task description - Deadline (if mentioned) - Priority (inferred) - Dependencies - Auto-create tasks in project management tools (Jira, Linear, Things) ### 4. Post-Meeting Deliverables - Executive summary (3-5 bullet points) - Full structured minutes with timestamps - Action item checklist with owners - Follow-up questions identified but not resolved - Searchable transcript with topic bookmarks ### 5. Integration Architecture - Calendar integration for auto-start - Slack/Teams notification with summary - CRM update for client meetings - Knowledge base indexing for institutional memory Provide architecture diagram description, technology stack, estimated costs, and a 4-week MVP timeline.