Applicant Screening System Using NLP

Abstract

This research work is mainly focused on selecting or short-listing the eligible candidates from the pool of applicants in a relatively short span of time. As technology is rapidly progressing, manpower requirement also increases exponentially. Thus, to calibrate the cream of the crop, this online application screens the applicants resume for a specific recruitment ad. This is designed in such a way that the applicant as well as the hiring agency can both be benefited, i.e., the applicant can use it to avail the job opportunities, apply for it and improve their abilities if they don't meet the criteria. Hiring agencies can mention the details of the job openings available. This bilateral website allows applicant to upload their resume, the resume uploaded will be compared with the job occupation requirement posted by the hiring agencies by using Natural Language Processing [NLP]. Results are generated using cosine similarity, then the similarity of both the uploaded documents in percentage is displayed. The eligibility of the candidate is decided based on the displayed result. Recent techniques include CNN KNN algorithms which are complex and time consuming, this project uses NLP tools, which simplifies the process, reduces the time consumption and also gives accurate answers.