Resume FAQs

Question 1

How does Resume match resumes with job descriptions?

Accepted Answer

Resume uses advanced NLP and machine learning techniques to intelligently match resumes with job requirements, analyzing both technical and soft skills.

Question 2

What is the scoring system used for resume ranking?

Accepted Answer

Resume employs a comprehensive scoring algorithm that evaluates various factors such as skills, experience, and education to provide a ranked list of candidates.

Question 3

What technologies are used in the Resume backend?

Accepted Answer

The backend is built using Python with FastAPI, utilizing libraries like spaCy, scikit-learn, and transformers for AI/ML capabilities. It uses UV for dependency management.

Question 4

What file types does Resume support for resume parsing?

Accepted Answer

Resume currently supports parsing resumes from PDF and DOCX files.

Question 5

How do I start the Resume server?

Accepted Answer

After setting up your environment, you can start the MCP server by running the command `resume-mcp` in your terminal.

Resume

Key Features

Use Cases

Resume

Key Features

Use Cases