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Meeting Summary System

Generates AI-powered meeting summaries and answers questions based on transcripts, delivering high-quality Markdown reports.

关于

This project integrates a robust front-end and back-end to deliver an intelligent meeting summary and Q&A system. Leveraging AI and multi-tool collaboration, it automates the process of generating comprehensive meeting reports. The system utilizes FastAPI for the backend with an MCP architecture, supporting integration with OpenAI for AI-driven summarization and Selenium for browser automation, ensuring the creation of high-quality Markdown output from meeting transcripts.

主要功能

  • 0 GitHub stars
  • Reformats and enhances summaries into structured Markdown reports with OpenAI.
  • Utilizes a multi-step reasoning AI agent for tool selection and task execution.
  • Automates meeting summarization using Selenium to interact with web-based platforms like Notebook LM.
  • Supports various MCP Client communication modes including HTTP, SSE, and Stdio.

使用案例

  • Automating the creation of structured meeting summaries from transcribed content.
  • Generating polished, AI-enhanced Markdown reports for streamlined meeting documentation.
  • Enabling intelligent question-answering based on meeting discussions and transcripts.