Leveraging LLM (GPT3.5) and prompt engineering techniques, resulting in accurate data extraction - gpt-tes.py ML-resumeparser uses Regular expressions and SpaCY to perform Named Entity Recognition and extract useful information
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Sarjhana/ResumeParser
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Compares LLM GPT3.5 with RegEx and SpaCY for accurate data extraction from resumes (named entity recognition (NER))
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