A Resume (CV) Parser developed using Python, spaCy, and NLTK that extracts important information from resumes automatically.
👨💻 Author: Subham Mondal
🏫 Department: Computer Science & Engineering (CSE)
Recruiters and HR teams often receive hundreds of resumes. Manually reading and filtering them is time-consuming.
This project solves that problem by automatically extracting structured information from resumes, such as:
The extracted data can then be used for searching, filtering, and ranking candidates in recruitment systems.
- Supports PDF and DOCX resume formats
- Works on Windows, Linux, and macOS
- Provides both Python API and Command Line Interface (CLI)
- Uses NLP techniques for accurate text extraction
- Can be integrated into ATS (Applicant Tracking Systems)
git clone https://github.com/Shubhoo22/Resume-Parser-using-Python-NLP.git
cd Resume-Parser-using-Python-NLP