AI-Powered Student Placement Prediction System Using Machine Learning

G Manoj Kumar ¹, Nambari Akash ²

¹Assistant Professor, ² MCA Final Semester,

Master of Computer Applications, Sanketika Vidya Parishad Engineering College, Vishakhapatnam,

Andhra Pradesh, India

   akashnambari9@gmail.com

ABSTRACT:

The AI-Powered Student Placement Prediction System is a web-based application developed to predict the placement probability of students using Machine Learning techniques. The increasing competition in campus recruitment has made it essential for students to evaluate their placement readiness based on academic performance and technical skills. The proposed system provides an intelligent solution by analyzing multiple student-related parameters and predicting their chances of campus placement.The application collects student information such as CGPA, 10th Percentage, 12th Percentage, Aptitude Score, Communication Skills, Technical Skills, Certifications, Internship Experience, and Project Experience. The collected data is processed using the Logistic Regression Machine Learning algorithm to classify students into different placement probability levels. Based on the prediction results, the system also provides personalized recommendations to help students improve their employability and career readiness.The application is developed using Python, Flask, Scikit-Learn, SQLite, HTML, CSS, and Bootstrap. It provides secure student login, placement prediction, administrator management, and downloadable PDF reports. The administrator module enables placement officers to manage student records, monitor prediction history, and analyze placement performance efficiently.

Keywords : Artificial Intelligence (AI), Machine Learning (ML), Student Placement Prediction, Logistic Regression, Flask Framework, Scikit-Learn, SQLite Database, Academic Performance, Placement Probability, Recommendation System.