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Job Portal using Data Mining Techniques for Adaptive Analysis

Author(s):

Darshan Gangar , Atharva College Of Engineering Mumbai, Maharashtra, India; Paraash Kamdar, Atharva College Of Engineering Mumbai, Maharashtra, India; Abhishek Chitre, Atharva College Of Engineering Mumbai, Maharashtra, India; Prof. Mahendra Patil, Atharva College Of Engineering Mumbai, Maharashtra, India

Keywords:

Job Portal, Data Mining, Adaptive test

Abstract

The project Job portal is aimed at developing a and central Recruitment Process System for the HR(Human Resource) Group of a company. It provides the candidate's ability to register to this application and search for jobs, manage their accounts. In this project we will use various data mining methodologies to analyze a field of interest/brilliance of an individual. We use various strategies to determine the ideal potential of an individual by conducting various aptitude tests. Unlike traditional job portals, we aspire to create one which can stream the job seekers for the openings specialized in their interests. On the basis of the results incurred, data mining strategies will be used to shortlist the companies giving suitable openings. This will also help the companies tied up with the portal to shortlist the candidates to fill the vacancies. The potential of the candidate will be filtered through data mining. This in turn will facilitate the correspondence between candidate and companies.

Other Details

Paper ID: NCTAAP142
Published in: Conference 4 : NCTAA 2016
Publication Date: 29/01/2016
Page(s): 610-612

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