Predictive Data Collection and Analysis for Placement Using CodeIgniter Framework

Authors

  • Apurva D J  Student, Department of Information Science and Engineering, GSSS Institute of Engineering and Technology for Women, Mysore, Karnataka, India
  • Harshitha H S  Student, Department of Information Science and Engineering, GSSS Institute of Engineering and Technology for Women, Mysore, Karnataka, India
  • Sheetal Venkatesh Gowda  Student, Department of Information Science and Engineering, GSSS Institute of Engineering and Technology for Women, Mysore, Karnataka, India
  • Supriya B M  Student, Department of Information Science and Engineering, GSSS Institute of Engineering and Technology for Women, Mysore, Karnataka, India
  • Dr. Reshma Banu  Professor and Head Department of Information Science and Engineering, GSSS Institute of Engineering and Technology for Women, Mysore, Karnataka, India

Keywords:

CodeIgniter, Model-view-controller, digitized placement.

Abstract

The purpose of the project is to replace the traditional placement management with digitized system, which helps in maintaining student database such as student list, shortlisted students list for placement, examination results and resumes which is essential for placement procedures. The application that is designed can be accessed over internet as the application is hosted on the server. The application can lead to error free, secure, reliable and fast management system. The organization can maintain computerized records with redundant entries, which will avoid manual record keeping. Basically the project describes how to manage and maintain required data for better performance and better placement procedures.

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Published

2018-05-08

Issue

Section

Research Articles

How to Cite

[1]
Apurva D J, Harshitha H S,Sheetal Venkatesh Gowda, Supriya B M, Dr. Reshma Banu, " Predictive Data Collection and Analysis for Placement Using CodeIgniter Framework , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.522-527, May-June-2018.