Manuscript Number : CSEIT19484
Survey on Efficient and Automated Online Recruitment System
Authors(5) :-Aniket Jadhav, Harsh Bhatia, Saish Wadkar, Vinod Tak, Dr. Pankaj Agarkar The problem with interviewing and selection of graduated and graduating candidates along with experience candidates is to occupy right job according to their skills and qualifications. And this is the major challenge faced by recruitment team. To overcome this problem, our team accepted this challenge and has purposed a new system, named as – Efficient and Automated Online Recruitment System. This system will make fair decisions on CV / Resume analysis and it will also provide Job Recommendation for shortlisted candidates to HR (Human Resource) department.
Aniket Jadhav CV/Resume Ranking, Job Recommendation, Back Propagation Algorithm, Personality Prediction, Neural Network, Machine Learning, Organisation Specific Publication Details Published in : Volume 4 | Issue 8 | September-October 2019 Article Preview
Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan
Savitribai Phule Pune University, Pune, Maharashtra, India
Harsh Bhatia
Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan
Savitribai Phule Pune University, Pune, Maharashtra, India
Saish Wadkar
Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan
Savitribai Phule Pune University, Pune, Maharashtra, India
Vinod Tak
Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan
Savitribai Phule Pune University, Pune, Maharashtra, India
Dr. Pankaj Agarkar
HOD, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan
Savitribai Phule Pune University, Pune, Maharashtra, India
Date of Publication : 2019-10-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 13-17
Manuscript Number : CSEIT19484
Publisher : Technoscience Academy