Meher, Kunal2025-05-202025-05-2020241660-6795https://atlasuniversitylibraryir.in/handle/123456789/755uGDXPlacements is of endless importance for university students and educational institutions. It helps students build a solid foundation for their future careers and ensure a good enrollment record that gives them a good advantage in school or university. Machine learning is an analytical method that establishes analysis patterns. This article describes the features of the machine that can predict whether a student will see or not, as currently it only depends on the student's qualification, age and experience. The predictor uses three machine learning algorithms: Decision Tree, Naive Bayes, and Random Forest are used. The algorithms are then assessed according to the accuracy of the predictions.enRandom forestnaive Bayesdecision treesmachine learningclassificationmodel estimationand data analysisMachine Learning Predication Techniques for Student Placement Job Role PredictionsArticle