Resume and Job Description Processing Script

Overview

This script processes resumes and job descriptions by extracting key information from the resumes and analyzing them against specific job descriptions to generate a recommendation and suitability score. The output is saved in a CSV file.

Features

• Extracts personal details from resumes (First Name, Last Name, Location, Designation, Email, Phone).
• Compares resumes against job descriptions and provides a recommendation along with a suitability score (1-100).
• Handles both PDF resumes and text-based job descriptions.
• Automatically retries for a valid score, defaulting to 45 if no valid score is generated.
• Outputs results into a CSV file with options for appending data if the file already exists.

Prerequisites

Before running the script, ensure that the following Python packages are installed:

• PyPDF2
• dotenv
• google.generativeai
• pandas
• argparse

To install the required dependencies, run:

pip install PyPDF2 python-dotenv google-generativeai pandas argparse

You will also need a Google Gemini API key. Store the key in a .env file in the project directory with the following format:

MY_GEMINI_API_KEY=your_google_gemini_api_key

Usage

Command Line Arguments

The script accepts the following command-line arguments:

• resume_folder: Path to the folder containing resume files (PDF format).
• job_description_folder: Path to the folder containing job description files (TXT format).
• -o, --output: (Optional) The output CSV file name. Defaults to output.csv.

Example Command

python script_name.py /path/to/resumes /path/to/job_descriptions -o output.csv

This command processes resumes in the /path/to/resumes folder and job descriptions in the /path/to/job_descriptions folder, saving the results to output.csv.

Workflow

1. The script loads environment variables, including the API key for Google Gemini.
2. It initializes the gemini-1.5-flash model using the provided API key.
3. The script extracts text from PDF resumes and text files containing job descriptions.
4. It generates a combined prompt to compare the resume with the job description and obtain a recommendation and score.
5. The output is saved as a CSV file containing the extracted details and analysis.

Output

The output CSV file will contain the following fields:

• First Name
• Last Name
• Location
• Designation
• Email
• Phone
• Recommendation
• Score
• Job Company

Notes

• Ensure your .env file is correctly set up with the API key.
• The script will retry generating a score if the initial response returns a score of 0. The default score is set to 45 if no valid score is obtained.
• Existing output CSV files are automatically appended with new data.