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International Journal of Research and Innovation in Applied Science (IJRIAS)

Smart Career Navigator: Ai-Powered Placement Prediction and Career Planning for Modern Campus Environments

byMr.R. Danu; Harrish. B; Arun Karthick. B; Mohamed Naveed. A

Published March 21, 2026  •  Vol. 11, Issue 2, pp. 1648–1654Open Access
DOI: 10.51584/IJRIAS.2026.110200153

Abstract

The growing competition in the job market has made career guidance and placement prediction vital for students. This paper proposes an AI-based system that analyzes student profiles to predict campus placement outcomes. Using machine learning, the system evaluates academic performance, technical and soft skills, extracurriculars, and historical placement data. It offers personalized career recommendations and placement probabilities, helping students improve employability. Additionally, it supports educational institutions in refining their placement strategies. This AI-driven approach bridges the gap between student potential and employer expectations, aiming for better placement results

Keywords: Machine Learning (ML), campus placements, Artificial Intelligence (AI)

JournalInternational Journal of Research and Innovation in Applied Science (IJRIAS)
ISSN2454-6194
Volume / IssueVolume 11, Issue 2
Pages1648–1654
Publication dateMarch 21, 2026
DOI10.51584/IJRIAS.2026.110200153
PublisherRSIS International
LicenseOpen Access

How to cite this article

Mr.R. Danu, Harrish. B, Arun Karthick. B, & Mohamed Naveed. A (2026). Smart Career Navigator: Ai-Powered Placement Prediction and Career Planning for Modern Campus Environments. International Journal of Research and Innovation in Applied Science (IJRIAS), 11(2), 1648-1654. https://doi.org/10.51584/IJRIAS.2026.110200153

BibTeX

@article{MrR2026,
  title   = {Smart Career Navigator: Ai-Powered Placement Prediction and Career Planning for Modern Campus Environments},
  author  = {Mr.R. Danu and Harrish. B and Arun Karthick. B and Mohamed Naveed. A},
  journal = {International Journal of Research and Innovation in Applied Science (IJRIAS)},
  volume  = {11},
  number  = {2},
  pages   = {1648--1654},
  year    = {2026},
  doi     = {10.51584/IJRIAS.2026.110200153},
  publisher = {RSIS International}
}