Mcps
0
Analyzes meeting transcripts using a multi-agent AI system for summarization, key point extraction, and task identification.
About
This multi-agent AI system provides comprehensive analysis of meeting transcripts, enabling users to quickly grasp essential information. It leverages AI-powered agents to generate concise summaries, extract critical key points, and identify actionable tasks, all presented through a clean and responsive web interface. The system automates the process of distilling lengthy discussions into actionable insights, significantly boosting productivity.
Key Features
- Extract and display key points as bullet points
- Identify actionable tasks from meeting discussions
- Modern, responsive web user interface
- Multi-agent architecture using OpenAI API
- 0 GitHub stars
- Generate concise summaries of meeting transcripts
Use Cases
- Efficiently summarize lengthy meeting discussions for quick review.
- Quickly identify actionable tasks and responsibilities from meeting notes.
- Extract key insights and decisions from recorded conversations and discussions.
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