Add batch processing support for multiple resume evaluation

[rashim2104]

Batch Processing Feature

Overview

Added support for processing multiple resumes from a folder with batch processing capabilities, significantly improving efficiency for recruiters and HR teams.

New CLI Options

Batch Processing

# Process all PDFs in a folder (non-recursive)
python score.py -f /path/to/resumes/

# Process all PDFs recursively (including subfolders)
python score.py -f -r /path/to/resumes/

# View help
python score.py --help

Single File (Unchanged)

# Original functionality preserved
python score.py resume.pdf

Features Added

• Batch processing: Process multiple PDFs in one command
• Error resilience: Continue processing if one resume fails
• CSV export: All results saved to resume_evaluations.csv
• Performance optimization: Single LLM provider initialization for entire batch

Performance Improvements

• Before: 3-4 LLM provider initializations per resume
• After: 1 initialization for entire batch

Example Output

Initializing LLM provider...
🔄 Using Google Gemini API provider with model gemini-2.5-flash

📁 Found 6 PDF file(s) in 'resumes/'
================================================================================

[1/6] Processing john_doe.pdf...
✓ John Doe: Score 87.5/100

[2/6] Processing jane_smith.pdf...
✓ Jane Smith: Score 92.0/100

[3/6] Processing bob_wilson.pdf...
✓ Bob Wilson: Score 68.0/100

================================================================================
📊 BATCH PROCESSING SUMMARY
================================================================================
Total files: 6
✓ Successfully processed: 6
❌ Failed: 0

Results saved to: resume_evaluations.csv
================================================================================

Implementation Details

Files Modified

• score.py: Added argparse, batch processing logic, provider optimization
• pdf.py: Modified PDFHandler to accept optional provider
• evaluator.py: Modified ResumeEvaluator to accept optional provider
• github.py: Modified GitHub functions to accept optional provider
• README.md: Updated documentation with batch processing examples

Backward Compatibility

• Single file mode works exactly as before
• All existing functionality preserved
• No breaking changes

Benefits

1. Time-saving: Process 10-50 resumes in one command
2. Better UX: Clear progress tracking and error handling
3. Performance: Optimized LLM provider usage

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This feature maintains full backward compatibility while adding powerful batch processing capabilities.