What are the core features of Resume Scorer?

Key features include AI-powered resume scoring with feedback, secure Google OAuth integration, robust FastAPI endpoints with error handling, and interactive Swagger UI.

What is Resume Scorer?

Resume Scorer is an AI-powered tool that scores resumes and provides detailed feedback, showcasing secure AI model integration with external data and tools.

Is Resume Scorer suitable for developers?

Absolutely. It features robust FastAPI endpoints, Swagger UI for comprehensive API documentation, and ngrok for public testing, making development and integration simple.

How does Resume Scorer ensure secure access?

It utilizes Google OAuth integration for secure user authentication, enabling protected and contextual access for AI models to external resources.

Resume Scorer

Name: Resume Scorer
Author: Mokksh-bhatt

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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.

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

01ngrok tunneling for public exposure

02Robust FastAPI endpoints with error handling

03Swagger UI for API documentation and testing

04AI-powered resume scoring with feedback

050 GitHub stars

06Secure access via Google OAuth integration

Use Cases

01Experimenting with FastAPI and Gemini for AI utilities

02Integrating secure OAuth for AI services

03Developing AI-powered resume scoring applications