AI-BASED COLLEGE ENQUIRY CHATBOT USING NLP AND INTENT RECOGNITION

- There has been an increase in the use
of automated systems due to the expansion of
digital technology. One example is the high
volume of inquiries received at institutions of
higher education from prospective and current
students regarding the admissions process,
courses, tuition, placement, and lodging, among
other topics. As these inquiries continue to rise in
number, institutions seek a means to assist them
in answering such inquiries by the development
of an AI-based College Enquiry Chatbot. The
purpose of this project is to design and create the
AI college inquiry chatbot with the objective of
resolving the issues originated by the large
volume of inquiries. The College Enquiry
Chatbot will employ some combination of
Natural Language Processing and intent
recognition technologies to process and respond
to a user's inquiry efficiently. The chatbot will be
created using three steps: processing the inquiry
using Natural Language Processing techniques;
normalizing the user's inquiry; and converting
the user's inquiry into a set of numerical features
using TF-IDF vectorization; and testing six (6)
machine learning classification algorithms to
determine the best algorithm for use in the
creation of the College Enquiry Chatbot.