The aim of my project is to analyze how we can use available student data to predict the standard of new students and the possibility of their placement. It’s a student assessment on the basis of his academic skills, Innovation, Research, and Development capabilities. Doing this can help students as well as academics to boost students' standards. Also, it helps us to design our course and extra training on the basis of it for maximum benefits to students. For this, we conducted a small survey using Google form survey and collected information about students of different colleges and universities around Chhattisgarh in the Computer science & Engineering Department and Information Technology Department. Creating a dataset for this project is not easy because motivating students to share their information is a challenging task. For predicting the result of student placement possibility we use the dataset prepared from the survey and different types of Naïve Bayes Algorithm, which is a Supervised Machine Learning Algorithm. Naïve Bayes Classifier is one of the most effective and simplest algorithms to implement for a supervised labeled dataset.