connect-resume-extractor 0.1.2

A Python package to extract resume data (college, branch, mobile, degree, passout year, LinkedIn) from PDFs.

📄 Connect Resume Extractor

A powerful Python package that extracts structured resume information from PDF files with a single function or a simple CLI command.

This tool is ideal for ATS systems, college portals, hiring automation, and any application that needs clean structured data from resumes.

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FEATURES

• Extract mobile number
• Extract degree (B.Tech, M.Tech, etc.)
• Extract branch / specialization
• Extract college / university (normalized using internal DB)
• Extract passout year
• Extract LinkedIn profile URL
• One-line Python usage
• CLI tool included: resume-extract resume.pdf

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INSTALLATION

Install via PyPI:

pip install connect-resume-extractor

Or for development:

pip install -e .

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PYTHON USAGE

from resume_extractor import extract_resume

data = extract_resume("resume.pdf")
print(data)

Example Output:

{
    "mobile": "9876543210",
    "passout_year": 2024,
    "degree": "B.Tech",
    "branch": "Computer Science and Engineering",
    "college": "National Institute of Technology Agartala",
    "linkedin": "https://linkedin.com/in/example"
}

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CLI USAGE

Run:

resume-extract resume.pdf

It will output formatted JSON.

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PROJECT STRUCTURE

resume_extractor/
├── extraction.py
├── db.py
├── cli.py
├── version.py
└── resources/
    ├── normalized_colleges.jsonl
    └── normalized_branches.jsonl

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REQUIREMENTS

• Python 3.8+
• pandas
• PyMuPDF

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CONTRIBUTING

1. Fork the repository
2. Create a new branch
3. Make your changes
4. Submit a pull request

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LICENSE

MIT License

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SUPPORT

If this package helped you, please ⭐ the project on GitHub!