Affiliation:
1. Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, India
Abstract
This paper presents an overview of artificial intelligence algorithms that use neural networks to predict a student's placement and give technical data. All educational institutions have a very crucial duty: the ability to predict a student's success. This will not be chosen only based on a student's academic standing. It is crucial to consider a student's behaviour, including their aptitude, attitude, communication style, technical competence, problem-solving skills, and demonstration-related information, to predict how they will do in the actual demonstration. Since this is the issue with predicting where undergraduate students will be placed, this study may be used to calculate the probability that an undergraduate student will be employed using different AI algorithms