College admission optimizer for an individualized education consulting system and method

摘要

A method and system automate data maintenance, transformation, and utilization for an individualized education consulting business. The system is designed to build a customized service plan for each student's unique needs. A College Admission Optimizer is a logistic regression model, based on the admission history of college applications, and a student's personality, individual interests, and current academic performance, and it calculates the chances of admission for each selected school, and provides a strategic opinion. The system and method quantify admission criteria and optimizes student's chance of getting into colleges.