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RESUME SCANNER AND ANALYZER RESEARCH PAPER

Ritu Singh, Priyesh Soni, Rishabh Mishra, Madhav Muskan, Asst. Prof. Subhash Chandra Mauyra

Computer Science Engineering Department

Maharana Pratap Group of Institution, Kanpur

Abstract This paper focuses majorly on the  design of the web application which will be  used to screen resumes (Curriculum Vitae) for a  particular job posting. In the proposed  system, a web application will encourage the  job applicant candidates as well as the  recruiters to use it for job applications and  screening of resumes. Recruitment is a  tedious process wherein the first task for any  recruiter is to screen the resumes. The  proposed web application is designed in such  a way that job applicants as well as recruiters  can use it with ease for applying for job  openings and screening respectively. The  recruiters from various companies can post  the details of the job openings available in  their respective companies. The interactive  web application will allow the job applicants  to submit their resume and apply for their job  postings they may still be interested in. The  resumes submitted by the candidates are  then compared with the job profile  requirement posted by the company recruiter  by using techniques like machine learning and  Natural Language Processing (NLP). Scores  can then be given to the resumes and they  can be ranked from highest match to lowest

match. This ranking is made visible only to the  company recruiter who is interested in selecting  the best candidates from a large pool of  candidates.

Keywords: Natural Language Processing (NLP);  NER (Named Entity Recognition);