Transforming Academic Counseling: A Python and AI Chatbot for University Major Selection
The process of selecting a university major is a critical decision for new students, often accompanied by uncertainty and confusion. Traditional academic counseling services, while valuable, may not always be accessible or sufficient to address the diverse needs of every student. This research paper presents the development and implementation of a Python-based chatbot, enhanced with AI techniques, designed to provide personalized major recommendations to new students.
The chatbot utilizes a combination of natural language processing (NLP) and machine learning algorithms to analyze students' interests, academic strengths, and career aspirations, offering tailored suggestions for suitable majors. The deep learning model is trained on a comprehensive dataset comprising student profiles, historical academic performance, and successful major outcomes, ensuring accurate and relevant recommendations.
By integrating this intelligent chatbot into the academic counseling framework, we aim to augment the decision-making process for new students, offering them valuable references and insights into potential majors. This research underscores the potential of leveraging advanced AI technologies in educational support systems using Python, paving the way for more accessible and personalized academic advising solutions.
