Resume Scorer
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Facilitates secure and contextual access for AI models to external tools and data, demonstrated through an AI-powered resume scoring application.
About
This project showcases custom MCP server implementations, providing AI models with secure, contextual access to tools and data. It features a robust resume scoring system with AI-based feedback, leveraging FastAPI for creating efficient endpoints and integrating Google OAuth for secure user authentication. The framework is designed as a versatile playground for developing and testing real-world AI utilities, complete with Swagger UI for API documentation and ngrok support for public exposure.
Key Features
- ngrok tunneling for public exposure
- Robust FastAPI endpoints with error handling
- Swagger UI for API documentation and testing
- AI-powered resume scoring with feedback
- 0 GitHub stars
- Secure access via Google OAuth integration
Use Cases
- Experimenting with FastAPI and Gemini for AI utilities
- Integrating secure OAuth for AI services
- Developing AI-powered resume scoring applications
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