Smart Career Navigator: AI-Powered Placement Forecasting and Career Planning

Author(s)	Pradeep John.G, Renuka. R
Country	India
Abstract	This research presents an AI-powered placement prediction system that analyzes student academic performance, technical skills, certifications, communication abilities, and extracurricular activities to forecast placement opportunities. Machine learning algorithms such as Logistic Regression, Decision Tree, and Random Forest are used to identify patterns from historical student data and predict placement outcomes with improved accuracy. The system helps students understand their strengths and weaknesses while enabling institutions to provide better career guidance and training programs. The proposed model aims to improve employability, reduce placement uncertainty, and support data-driven decision-making in campus recruitment processes.
Keywords	Placement Prediction, Machine Learning, Artificial Intelligence, Career Planning, Student Performance Analysis, Random Forest, Data Analytics, Campus Recruitment
Field	Computer
Published In	Volume 17, Issue 1, January-June 2026
Published On	2026-05-24
Cite This	Smart Career Navigator: AI-Powered Placement Forecasting and Career Planning - Pradeep John.G, Renuka. R - IJAIDR Volume 17, Issue 1, January-June 2026.

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Journal of Advances in Developmental Research