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A Review on Placement Prediction and Analysis Using Machine Learning

Author

Listed:
  • Pranay Rapartiwar
  • Sanket Agade
  • Ashwini Mirge
  • Janvi Wakde
  • Sumit Muddalkar

Abstract

The rate at which the students are placed in jobs are considered an essential aspect of measuring the efficacy of a particular institution in imparting proper training to its students, which leads to placement in jobs. Many a learner takes due interest in studying the placement rate when deciding which institution to choose as a place to educate themselves at the collegiate level in colleges or universities. Enhancing the placement opportunities of the students in jobs is considered a major goal of almost all academic institutions, and this review paper is a study dedicated to laying a foundation in the aspect of campus placement prediction using machine learning as a predictive tool. By delving into the subject of machine learning as a predictive tool, this paper serves as a directional path that stimulates future research after pointing out the existing shortcomes in this type of prediction in raising awareness in a basic way regarding the accuracy of the efficiency of a machine learning-based campus placement prediction system.

Suggested Citation

  • Pranay Rapartiwar & Sanket Agade & Ashwini Mirge & Janvi Wakde & Sumit Muddalkar, 2026. "A Review on Placement Prediction and Analysis Using Machine Learning," International Journal of Scientific Research in Science and Technology, Technoscience Academy, vol. 13(1), pages 416-421, February.
  • Handle: RePEc:etm:ijsrst:v13:y2026:i1:id:1412
    DOI: 10.32628/IJSRST2613167
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