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Meeting Summary System

W87878byW87878
•
Productivity & Workflow
Data Science & ML
Browser Automation

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

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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.

Key Features

010 GitHub stars
02Reformats and enhances summaries into structured Markdown reports with OpenAI.
03Utilizes a multi-step reasoning AI agent for tool selection and task execution.
04Automates meeting summarization using Selenium to interact with web-based platforms like Notebook LM.
05Supports various MCP Client communication modes including HTTP, SSE, and Stdio.

Use Cases

01Automating the creation of structured meeting summaries from transcribed content.
02Generating polished, AI-enhanced Markdown reports for streamlined meeting documentation.
03Enabling intelligent question-answering based on meeting discussions and transcripts.