AI ENHANCED APTITUDE ANALYSIS AND CAREER PREDICTION SYSTEM

Abstract

The landscape of secondary education underwent a significant transformation with the introduction of the 2020 educational policy, which emphasized the dissolution of rigid disciplinary boundaries between Science, Commerce, and Arts streams in the (10+2) curriculum. This shift has created a need for innovative tools to assist students in navigating the expanded array of subject choices and potential career pathways. To address this challenge, this thesis presents the design and development of an educational app aimed at guiding students through this new educational paradigm. The primary focus of this project is twofold: first, the implementation of a fuzzy logic-based aptitude assessment tool and secondly, the project will incorporate a collaborative filtering-based career recommender system within the app. This project aims to contribute to enhancing students' educational experiences and career readiness in the context of the evolving educational landscape. By leveraging fuzzy logic for aptitude assessment and collaborative filtering for career guidance, the educational app seeks to empower students with the knowledge and insights necessary to make informed academic and career decisions amidst the new educational paradigm characterized by interdisciplinary learning and holistic skill development.