project in nlp model for job_resume

Resume Parsing System is a project that extracts key information from resumes in formats such as PDF and DOCX. It includes steps like text extraction, preprocessing, and applying methods such as Named Entity Recognition (NER) and Regular Expressions to identify details such as name, skills, experience, and education. The system can also accept a job description and compare it with the extracted information from the resume to evaluate the candidate’s suitability. Based on a defined threshold, the system can classify candidates as accepted or rejected depending on whether their compatibility score meets or exceeds the threshold. The extracted data is then organized into a structured CSV file, making it easy to store, analyze, and use for candidate ranking or selection.