Campus Placement Prediction Using Brain.js

Authors

  • Ekansh Khandekar  Department of Computer Engineering, Zeal College of Engineering and Research, Pune, Maharashtra, India
  • Vishal Jadhav  Department of Computer Engineering, Zeal College of Engineering and Research, Pune, Maharashtra, India
  • Sanyami Naik  Department of Computer Engineering, Zeal College of Engineering and Research, Pune, Maharashtra, India
  • Shubham Solanki  Department of Computer Engineering, Zeal College of Engineering and Research, Pune, Maharashtra, India

Keywords:

Abstract

Finding a job is difficult, and even when you do, you cannot be certain that the organisation is the greatest fit for you. Several job recommendation sites provide a plethora of possibilities, but how many of those options are actually useful is a well-known reality among everybody. We developed a Machine Learning system that uses Brain.js, a javascript library for neural networks, to forecast an individual's chances of being hired in a specific firm based on numerous characteristics such as their percentage, specialisation, and work experience. Our research aims to assist students, colleges' Training and Placement Offices (TPO), and companies' Human Resources departments in finding the best fit companies.

References

  1. Bharat Udawat , Advait Kale , Divit Sinha , Hardik Sharma, “Placement Prediction System”, August 2021, Springer, (AISC,volume 1394). DOI: https://doi.org/10.1007/978- 981-16-3071-2_3.
  2. Nikhil Kumar, Ajay Shanker Singh, Thirunavukkarasu K., E. Rajesh, “Campus Placement Predictive Analysis using Machine Learning”, 2020, IEEE, 2nd ICACCCN, DOI: 10.1109/ICACCCN51052.2020.9362836.
  3. Tasneem Abed, Ritesh Ajoodha, Ashwini Jadhav, “A Prediction Model to Improve Student Placement at a South African Higher Education Institution”, March 2020, IEEE, DOI:https://doi.org/10.1109/SAUPEC/RobMech/PRASA4 8453.2020.9041147.
  4. Aparna V.Mote, Utakarsha Musmade, “GROSS DOMESTIC PRODUCT (GDP) PREDICTION: A REVIEW”, JETIR May 2019, Volume 6, Issue 5, DOI: http://www.jetir.org/papers/JETIRBO06061.pdf
  5. https://brain.js.org/#/
  6. https://blog.logrocket.com/an-introduction-to-deep- learning-with-brain-js

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2022-04-30

Issue

Volume 8, Issue 2, March-April-2022

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Ekansh Khandekar, Vishal Jadhav, Sanyami Naik, Shubham Solanki, " Campus Placement Prediction Using Brain.js" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 2, pp.425-428, March-April-2022.