Resume Ranker is an AI-powered system that automatically analyzes and ranks resumes based on job-specific criteria. It fetches resumes from Google Drive, extracts text, scores candidates using Google Gemini API, and saves the results in a CSV file for easy review.

✅ Fetches resumes from a Google Drive folder
✅ Extracts text from PDF resumes
✅ Ranks candidates using AI (Google Gemini API)
✅ Scores resumes based on multiple criteria (Experience, Skills, Education, etc.)
✅ Saves results in CSV with detailed scores and explanations

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

python -m venv venv
source venv/bin/activate  # macOS/Linux
venv\Scripts\activate  # Windows

pip install -r requirements.txt

• Enable Google Drive API & Generate a Service Account JSON
• Set up your Google Gemini API key
• Update the config.py file with your credentials:

GOOGLE_API_KEY = "your_api_key"
CSV_FILE_PATH = "data/resumes.csv"

# Define criteria for scoring resumes
CRITERIA_DEFINITIONS = {
    "total_score": "Overall score based on all criteria (0-100)",
    "experience_score": "Years of relevant work experience in AI/ML (0-30)",
    "skills_score": "Technical skills match with job requirements (0-30)",
    "education_score": "Relevance of educational background (0-20)",
    "projects_score": "Quality and relevance of projects (0-10)",
    "communication_score": "Resume clarity and effectiveness (0-10)"
}

JOB_DESCRIPTION = "Looking for a Python Developer with AI/ML experience..."

python main.py

After execution, results will be saved in:

data/resumes.csv

The CSV file includes:

• Candidate names
• Resume Google Drive links
• Scores for each category
• Explanation of each score