Predicting Student Placement Outcomes with Bi-GRU: A Deep Learning Approach

For students, the shift from academia to the workforce is a pivotal time, and it is becoming more and more important to be able predict their placement success. Placements are the main determinant of admission and establishment names. The primary goal of this effort is to predict current students' placement prospects by analysing past student data from prior years, which helps the institutions' placement rates rise. Based on the data of students who have been put in the past, this system offers a Recommendation System (RS) that predicts whether the current student will be placed or not. If the student is placed, the company is also predicted.