Resume Analysis

Welcome to the Resume Analysis tool documentation. This project automates the process of extracting relevant information from resumes, processing it, and generating concise reports for quicker review.

Table of Contents

1. Getting Started
2. File Structure
3. Functionalities
4. Usage Guide
5. Contribute
6. License

Getting Started

Prerequisites

• Python 3.x
• Pip (Python package installer)

Installation

Clone the repository:

git clone https://github.com/your-username/resume-analysis.git

Navigate to the project directory:

cd resume-analysis

Install the required packages:

pip install -r requirements.txt

How to Use

1. Setup:
   • Ensure that all resumes are saved as PDFs in the documents/resumes directory.
   • Make sure the keywords/FS_PHP_Dev_001_keywords.json file contains the list of keywords to be matched against.
2. Keyword Matching:
   • Run Keyword-Match-Resume.py to perform keyword matching on all resumes and save the result as a CSV.
3. Summarizing Candidates:
   • Execute Summarize-Candidates.py to summarize candidate details, extract URLs, and consolidate keyword matching results.
4. Generating Excel Report:
   • Run Create-Excel-Book.py to create an Excel workbook where each CSV report is saved as a separate sheet.
   • Check the generated Excel file under reports/resume_review.xlsx for the results.

File Structure

.
├── documents
│   └── resumes      # Contains the PDF resumes to be processed
├── data             # Directory for CSV and other 
├── keywords         # JSON files containing keywords 
├── reports
│   └── resume_review.xlsx   # Final Excel report
├── Keyword-Match-Resume.py  # Script for keyword matching
├── Summarize-Candidates.py  # Script to process and summarize data
├── Create-Excel-Book.py     # Script to consolidate CSVs into an Excel file
└── requirements.txt         # Required Python packages

License

This project is licensed under the MIT License. See the LICENSE.md file for details.