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This project leverages FastAPI with the Model Context Protocol (MCP) to streamline recruitment. It uses specialized agents to extract resume data, summarize JDs using the mistral:7b model from ollama, calculate semantic similarity scores with sentence-transformers, and send personalized interview invitations via the resend API for candidates scoring above 70%. Integrated with SQLAlchemy and SQLite for long term memory, the system ensures scalability and handles edge cases like duplicate detection and resume validation.
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