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Meeting Summary System
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.
Productivity & Workflow
Data Science & ML
Browser Automation
