Resume Assistant

This code example demonstrates an resume analysis assistant that evaluates candidate resumes against a specific job description for AI/ML Engineer positions. The assistant analyzes multiple resumes, scores candidates based on various criteria, and provides comprehensive hiring recommendations.

Features

• Automatically analyzes all resume PDF files in a specified directory.
• Evaluates candidates against a detailed AI/ML Engineer job description.
• Scores each candidate on a scale of 1-100 based on:
  • Technical skills match (40%)
  • Experience relevance (30%)
  • Education and qualifications (20%)
  • Communication and presentation (10%)
• Ranks candidates from most to least qualified.
• Highlights strengths and areas for improvement for each candidate.
• Generates a comprehensive analysis report in markdown format.

How to use

1. Set up the Qwen API key in the .env file.

QWEN_API_KEY = 'xxx'

2. Place resume files (PDF format) in the resumes directory.

3. Run the script

python run_mcp.py

4. Review the generated analysis in the resume_analysis.md file.

Technical Implementation

The Resume Assistant uses:

• Leverage OWL (Optimized Workforce Learning) and CAMEL frameworks to build the agent.
• Use PDF Reader MCP Serverfor extracting content from resume files.
• Use Filesystem MCP Server for file operations.

Example Output

The generated resume_analysis.md file includes:

• Executive Summary of all candidates
• Individual Candidate Assessments with detailed scoring
• Ranked List of Candidates from most to least qualified
• Recommendations for the Hiring Manager