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

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

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

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