Resume–JD Alignment Feature: Enhanced Skills Extraction, Scoring, Skills matching accuracy - #7
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ashutoshsom1 wants to merge 5 commits into
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Resume–JD Alignment Feature: Enhanced Skills Extraction, Scoring, Skills matching accuracy#7ashutoshsom1 wants to merge 5 commits into
ashutoshsom1 wants to merge 5 commits into
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This commit includes: - Fixed Azure OpenAI integration by updating config.py to use AzureChatOpenAI with proper deployment parameters - Enhanced PDF processing with proper poppler path configuration in pdf2image_converter.py - Improved error handling in matcher_chainlit.py for more robust processing of skills and education data - Refactored process_generic_extraction function to handle different types of extraction with consistent error handling - Added proper environment configuration in code.env with Azure OpenAI credentials and system settings - Implemented complete end-to-end workflow for uploading, processing, and matching job descriptions with candidate CVs - Added visualization capabilities for candidate rankings with detailed breakdowns of skills and education matches The system now successfully processes multiple job descriptions and CVs, extracts relevant skills and education information, and provides a comprehensive ranking of candidates based on configurable scoring weights.
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Enhanced resume–JD alignment logic for better skills and education matching. Improves candidate ranking and user experience.
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