I. Introduction
Securing good placements is crucial for schools and colleges. A college's reputation hinges on successful student job placements. To achieve this, colleges employ a predictive system to assess students' suitability for specific jobs, facilitating early job placement and better preparation. A high placement rate enhances a college's reputation, aiding in admissions and improved teacher training. Manual management of student records is challenging, prompting the use of machine learning algorithms for efficient placement prediction. These algorithms, such as SVM, LR, Naive Bayes, and Decision Tree, filter students based on grades and skills, guiding future improvements for student placements.