Resume Ranking Using Natural Language Processing

Abstract

Finding the ideal candidate for a position is one of a company’s most important and crucial tasks. The conventional approaches typically necessitate spending a significant amount of time manually going through each applicant’s application, reviewing their resumes, and compiling a shortlist of candidates who ought to be contacted for an interview. Numerous resumes are received by companies, many of which are poorly formatted. On the other hand, selecting a candidate based on their resume has not yet been completely automated. The applicant will be able to upload their pdf resume on our website. We will use Natural Language Processing to rank abilities and work insight from the unstructured resumes. Our model will rank the best candidate in each category. The process of screening is made easier by the removal of all irrelevant information, and recruiters are able to better analyze each resume in less time.