Title: Prediction of admission and jobs trends in the field of engineering and technology, pharmacy and management based on the demographic location

Authors: Om Patel; Vishvas Patel; Krinal Khamar; Neel Patel; Sharon Coutinho; Urvish Patel; Zeel Patel; Aryan Patel; Himani Trivedi

Addresses: Vidush Somany Institute of Technology and Research, Kadi Sarva Vishwavidhyalaya, Sarva Vidyalaya Kelavani Mandal, Kadi, 382715, Gujarat, India ' Vidush Somany Institute of Technology and Research, Kadi Sarva Vishwavidhyalaya, Sarva Vidyalaya Kelavani Mandal, Kadi, 382715, Gujarat, India ' Vidush Somany Institute of Technology and Research, Kadi Sarva Vishwavidhyalaya, Sarva Vidyalaya Kelavani Mandal, Kadi, 382715, Gujarat, India ' Vidush Somany Institute of Technology and Research, Kadi Sarva Vishwavidhyalaya, Sarva Vidyalaya Kelavani Mandal, Kadi, 382715, Gujarat, India ' Vidush Somany Institute of Technology and Research, Kadi Sarva Vishwavidhyalaya, Sarva Vidyalaya Kelavani Mandal, Kadi, 382715, Gujarat, India ' Vidush Somany Institute of Technology and Research, Kadi Sarva Vishwavidhyalaya, Sarva Vidyalaya Kelavani Mandal, Kadi, 382715, Gujarat, India ' Vidush Somany Institute of Technology and Research, Kadi Sarva Vishwavidhyalaya, Sarva Vidyalaya Kelavani Mandal, Kadi, 382715, Gujarat, India ' Vidush Somany Institute of Technology and Research, Kadi Sarva Vishwavidhyalaya, Sarva Vidyalaya Kelavani Mandal, Kadi, 382715, Gujarat, India ' LDRP Institute of Technology and Research, Kadi Sarva Vishwavidhyalaya, Sarva Vidyalaya Kelavani Mandal, Gandhinagar, 382015, Gujarat, India

Abstract: India faces a significant challenge with rising unemployment, exacerbated by a lack of awareness among students regarding career prospects. The gap between current undergraduate and postgraduate courses and market demands adds to the issue. This study addresses the disparity by utilising machine learning models, including multiple linear regression, KNN, random forest, and XGBoost. By predicting future job trends, admissions, and placements, the integrated system aims to guide students in making informed course choices. Additionally, the research addresses the shortage of relevant datasets by creating a comprehensive dataset encompassing India's state-wise admission and placement, Gujarat District-level data, state-wise start-up information, and educational institutional analysis, compiled from diverse sources.

Keywords: machine learning; dataset; job trends; admission trends; undergraduate courses; education.

DOI: 10.1504/IJCVR.2025.147513

International Journal of Computational Vision and Robotics, 2025 Vol.15 No.4, pp.506 - 530

Received: 06 May 2023
Accepted: 15 Nov 2023
Published online: 18 Jul 2025 *

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