Empowering education and workforce planning: A comprehensive approach to university recommendation and profession demand forecasting

Abstract

This research paper presents a comprehensive approach to empower education and workforce planning through university recommendation and profession demand forecasting. With the increasing student migration for higher education, understanding and addressing the challenges posed by brain-drain and the lack of suitable policies is crucial. To facilitate informed decision-making, a user-centric approach is employed to develop a Personalized University Classification System, providing tailored recommendations. The Prompt Commentary Delivery component utilizes NLP techniques to offer timely feedback and suggestions. Moreover, a hierarchical decision-making process enhances university and program recommendations based on relevant features and user preferences. The Profession Demand Forecasting System employs the ARIMA model and predictive analytics to identify future employment trends, contributing to informed strategies aligned with labor market demands. By addressing these aspects, the research aims to provide stakeholders with valuable insights and strategies to foster economic growth and empower students in their educational journeys.