Meeting Summary System
byW87878
0Generates AI-powered meeting summaries and answers questions based on transcripts, delivering high-quality Markdown reports.
소개
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.
주요 기능
- 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.
사용 사례
- 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.