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 LLM to identify key information.
• Summarization: Converts extracted information into concise summaries.
• Flask Frontend: Provides a web interface for parsing/summarizing resumes.

Getting Started

1. Install requirements using this command: pip install -r requirements.txt
2. Update config.py and set your own OPENAI_API_KEY. Sample OPENAI_API_KEY can be found here, it has rate limits.
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, openai, and PyMuPDF.
• Inspired by the need for efficient and intellingent ATS systems.