Prediction of Job Applicant Salary and Designation using Machine Learning
Ashok Kumar S1, Santhosh V2, Saranyadevi S3, Vikranth Krishna E4
1Ashok kumar S*, Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
2Santhosh V, Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
3Saranyadevi S, Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
4Vikranth Krishna E, Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 27, 2020. | Manuscript published on April 10, 2020. | PP: 2194-2197 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4545049620/2020©BEIESP | DOI: 10.35940/ijitee.F4545.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This system is aimed toward developing a central recruitment process system for the HR Group for an organization. This system is fully supported by recruiting a candidate for a job supported their performance within the interview and their test scores are analyzed to predict their basic salary once a year. Some features of this system are getting to be creating vacancies for candidates, storing application data, and Scheduling interviews, Interview process initiation, storing Interview results for the candidate and eventually Hiring of the candidate. Reports could even be required to be generated for the use of the HR group. This project “Hiring Dataset Analysis” could also be a windows application during which the candidate details store by admin then attends the drive. Supported the results of the qualification the job seekers are getting to be shortlisted. For freshers, the drive is getting to be conducted at some venue after the shortlisting of the chosen candidate. The tiny print of the particular company drive, venue & Date of the examination are getting to be made available to them through the online site. Functionality and Features of the candidate profile, posting new recruitment programs by company, publishing new carrier guidance placement programs by Admin, Viewing Resumes by company, Viewing payment by candidate, Company profile management.
Keywords: Salary Prediction, e-Recruitment, Job Market, Machine Learning, K-means Clustering.
Scope of the Article: Machine Learning