“ATS BREAKER”- A System for Comparing Candidate Resume and Company Requirements

Abstract

In current scenario, job searching is one of the major challenge faced by people after education. In the job search process, a well-written resume is essential. As the companies receives thousands of resumes, they uses several filtering techniques to identify the most eligible ones according to the company's requirements. This one of the major challenge faced by the candidate in selection process. This paper proposes a model that computes a comparison and based on the results, suggestions are provided to the candidates to modify their resume. The proposed procedure extract information related to technical as well soft skills from the CV's submitted in text, pdf or docx format. The system also provides suggestions for correcting the grammatical errors. The proposed system is designed based on Natural Language Processing (NLP) techniques.