Predictive Analysis of Campus Recruitment Outcomes: An Integrated Placement and Salary Estimation Model using Random Forest
DOI:
https://doi.org/10.32628/IJSRST261324Keywords:
Student Placement Prediction, Salary Forecasting, Machine Learning, Random Forest, Flask, Predictive AnalyticsAbstract
In the current academic scenario, campus placement is an essential criterion for the success of the academic institution as well as the students. Several predictive models for the status of the students' placement have been proposed. However, the current scenario lacks an integrated model for the simultaneous prediction of the potential salary range. This paper proposes a smart system named PlaceSight that predicts the students' placement as well as the potential salary range. The model for the prediction of the students' placement is based on the Random Forest algorithm. The model has achieved an accuracy of 93.3%, precision of 0.93, and ROC_AUC value of 0.94. The model for the prediction of the potential salary range has been implemented with the Random Forest Regressor algorithm. The model has achieved a Mean Absolute Error value of 10,816, R2 Score value of 0.89, and Mean Squared Error value of 6,332,864,171. The proposed model is capable of performing the entire data preprocessing as well as Exploratory Data Analysis. The proposed model is implemented with a Flask framework.
Downloads
References
Rapartiwar, P., Agade, S., Mirge, A., Wakde, J., & Muddalkar, S. (2026). "A Review on Placement Prediction and Analysis Using Machine Learning." International Journal of Scientific Research in Science and Technology (IJSRST).
Ruparel, M., & Swaminarayan, P. (2025). "Enhancing Student Placement Predictions with Advanced Machine Learning Techniques." Journal of Information Systems Engineering and Management.
Divya, N., et al. (2023). "Student Placement Analysis using Machine Learning." ICCES Conference Proceedings.
Ambili, P. S., & Abraham, B. (2024). "A Comprehensive Evaluation of Employability Prediction Using Ensemble Learning Techniques." EPRA International Journal.
Baffa, M. H., et al. (2023). "Machine Learning for Predicting Students’ Employability." UMYU Scientifica.
Kari, K., et al. (2023). "Placement Prediction Using Machine Learning." IJARIIE.
Archana, P., et al. (2023). "Student Placement Prediction Using Machine Learning." Journal of Survey in Fisheries Sciences.
Patel, N. K. M., et al. (2022). "Placement Prediction and Analysis using Machine Learning." IJERT.
Rao, V. N., & Dhanalakshmi, P. (2022). "Campus Placement Prediction using Machine Learning." IJISAE.
Shahane, P. (2022). "Campus Placements Prediction & Analysis using Machine Learning." ESCI Conference Proceedings.
Goyal, J., & Sharma, S. (2018). "Placement Prediction Decision Support System using Data Mining." IJCRT.
Maurya, L. S., et al. (2021). "Developing Classifiers Based on Academic Performance." Applied Artificial Intelligence.
Selvaraj, R., & Sivakumar, S. (2017). "Adaptive Model for Campus Placement Prediction using Improved Decision Tree." Journal of Engineering and Applied Sciences.
Kusuma, Kranthi Kiran. (2025). Application of QXDM and field diagnostic tools for root cause analysis in volte call failures and QOE degradation. World Journal of Advanced Engineering Technology and Sciences. 16. 418-426. 10.30574/wjaets.2025.16.1.1220.
FNU Pawan Kumar. Customer check-in feature development and optimization for real-time order pickup systems using GPS tracking. International Journal of Science and Research Archive, 2025, 15(01), 1922–1932. Article DOI: https://doi.org/10.30574/ijsra.2025.15.1.1156.
Mishra, Chandan. (2025). Migrating and Upgrading PeopleSoft Systems: Best Practices and Challenges. International Journal for Research Trends and Innovation. 10. 10.56975/ijrti.v10i9.205827.
Ji, Y., Sun, Y., & Zhu, H. (2025). "Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach." Frontiers of Computer Science.
Ayua, S. I., et al. (2024). "Salary Prediction Model for Non-academic Staff Using Polynomial Regression Technique." Artificial Intelligence and Applications.
Xu, M. (2025). "Salary prediction using machine learning." Scholarly Review Journal.
Pardeshi, V. V. (2025). "Employee Salary Prediction Using Machine Learning." IJARSCT.
Düzgün, B., et al. (2025). "Development of Salary Predictions Models for the IT Industry." Journal of Data Science.
Talele, A., et al. (2024). "Engineering Graduate Salary Prediction System." Educational Administration: Theory and Practice.
Raj, P., et al. (2024). "Forecasting Salary Using a Machine Learning System." Jharkhand University of Technology.
Rahman, S., & Mohammed, S. (2017). "Machine Learning Based Salary Prediction By Using Different Linear Regression Technique." IJACEE.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 International Journal of Scientific Research in Science and Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
https://creativecommons.org/licenses/by/4.0
