Intelligent Meeting Analysis with Context-Aware Understanding
The Meeting Analyzer is a sophisticated web application designed to transform how we process and understand meeting recordings. By combining advanced speech-to-text technology with intelligent conversation analysis, it provides detailed insights into meeting dynamics and content.
The system processes audio input to produce detailed transcripts with speaker identification. As shown above, each speaker's contribution is clearly marked with timestamps, making it easy to track who said what and when. The system handles complex meeting dynamics including multiple speakers, overlapping dialogue, and topic transitions.
The final output transforms raw transcripts into well-organized meeting minutes. The system automatically: • Identifies and structures key discussion points • Extracts action items and assignments • Creates a clear, professional document format • Maintains a consistent structure across all meetings
The system employs state-of-the-art speech-to-text technology combined with speaker diarization, allowing it to: • Accurately transcribe multi-speaker conversations • Automatically identify and label different speakers • Handle overlapping speech and multiple accents • Maintain speaker consistency throughout the transcript
Using custom-trained models, the analyzer categorizes different segments of the meeting into distinct conversation types: • Presentations and formal speeches • Open discussions and debates • Q&A sessions • Technical discussions • Action item assignments This classification helps in quickly navigating and understanding the meeting structure.
One of the most innovative features is the "Provide Context" functionality, which: • Allows users to upload relevant documents before analysis • Improves name resolution and technical term understanding • Provides better context for acronyms and project-specific terminology • Enhances the accuracy of speaker identification through contextual clues
Built using a modern tech stack including: • Flask-based web interface for easy deployment • Integration with advanced speech recognition APIs • Custom NLP models for conversation classification • Efficient document processing pipeline for context integration • Real-time processing capabilities for immediate results
The Meeting Analyzer represents a significant step forward in automated meeting processing, making it easier to extract value from recorded conversations while maintaining context and accuracy.