MACHINE LEARNING BASED ASSESSMENT SYSTEM FOR SCHOLARSHIPS AND CREDITS

Abstract

A scholarship is a grant of money to help a student continue their studies. Scholarships are typically offered by governments or government agencies. Students gain courage to pursue additional objectives when their accomplishments are acknowledged. Students are encouraged to take this step when they receive acknowledgement from a group or business. Students can submit applications for scholarships based on the requirements (such as caste category, annual income, etc). Various scholarship programmes are offered to students based on various eligibility requirements. The main Objective is to develop an educational based application that helps institutes to know the appropriate students to reward scholarships. System is an automated one that shortlists most eligible students to reward scholarships. It applies Bayesian Classifier Algorithm to perform selection criteria. Through the proposed system, scholarship can be easily rewarded as this system automatically shortlists the students based on the given constraints using Machine Learning techniques.