Development of an AI Chatbot to Support Admissions and Career Guidance for Universities
Le Hoanh Su Su, Dang-Huy Truong, Thi-Yen-Linh Tran, Thi-Duyen-Ngoc Nguyen, Bao-Tuyen Ly, H.C. Nguyen
Abstract
Background/Objectives: The thesis "Building AI Chatbot to support admissions and career guidance for universities" has been explored, analyzed and understood the difficulties, shortcomings and problems arising in career counseling, enrollment support. Methods/Statistical analysis: Building a chatbot is a perfect solution. A chatbot can be available 24/7 for 365 days. Chatbot also receives and processes requests of students / parents automatically and quickly and uniformly in replying content, especially optimized in repetitive scenarios. Findings: Thus we decided to do research to understand this situation. Then creating a dataset supports vocational guidance and advising education enrollment activities. We also design and integrate chatbot into the school system to support the admissions counseling process. Improvements/Applications: Besides, the thesis has successfully built a structured dataset about enrollment orientation and apply of natural language processing, machine learning to build identification models. The thesis will contribute to overcome and improve the performance of university admissions consulting.