Automated CV Analyzing and Ranking Tool to Select Candidates for Job Positions
Thanuja Chandani Sandanayake, G. A. I. Limesha, T. S. S. Madhumali, W. P. I. Mihirani, M. S. A. Peiris · 2018
Processing of CVs to find a suitable candidate is a challenging task for many organisations. Most of the time identifying potential candidates for a job post is a time consuming and costly task for HR Divisions. Different CV s consists of information in a many formats. This research study extracts the information from the CV and ranks the CVs according to a given criteria to screen them out from the vast number of received applications in an organization. This research solution also recommends the most appropriate job category for an applicant according to his/ her CV information. At the same time the study creates candidate profiles using data from external professional web sources like Stack overflow, GitHub and Blogs. This research has basically designed for the domain of Information Technology related job postings such as Software Engineering, Quality Assurance etc. This system can rank the CVs according to various aspects presented in the CV, thus saving an enormous amount of time and effort that is required for manual scanning by the recruiters.