Srinath-N-R / Resume-Summarizer

This Python application extracts crucial information from resumes and generates a concise summary through a user-friendly Flask frontend.

Resume Information Extractor and Summarizer

This Python project extracts crucial information from resumes and generates a concise summary through a user-friendly Flask frontend. It leverages open-source libraries for efficient information extraction and natural language processing.

Features

• Resume Parsing: Accepts resumes in PDF and DOCX formats.
• Information Extraction: Utilizes Named Entity Extraction and regular expressions to identify key information.
• Summarization: Converts extracted information into clear, human-readable summaries.
• Flask Frontend: Provides an intuitive web interface for uploading resumes and viewing summaries.

Getting Started

1. Install requirements using this command: pip install -r requirements.txt
2. Install spaCy model using this command: python -m spacy download en_core_web_trf
3. Run app.py.
4. Upload a resume (PDF or DOCX).
5. Review extracted information (name, organization, education).
6. Click "Generate Summary" to get a summary of the resume.
7. Upload another resume or continue using the app.

Acknowledgments

• Built with Flask, spaCy, and PyMuPDF.
• Inspired by the need for efficient resume screening and summarization.