Please use this identifier to cite or link to this item: https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4495
Title: AI Based Student Enquiry System
Authors: Kumari, O.L.S.S.
Issue Date: 9-Aug-2021
Abstract: A chatbot is a computer program based on Artificial Intelligence, which emulates the conversation between human and the system in natural language. It can communicate in text or audio format. Chatbot can identify the user queries and decide itself the relevant response to answer the queries. Chatbots are used in messaging applications, embedded in websites and mobile applications. This project mainly focusses on using this emerging technology to ease the life of students and staff in the field of higher education. Every year many students visit the college websites, visit administration offices, send hundreds of emails and contact helpdesk to inquire regarding the admission process, course details, scholarships, and many more areas related to university life. Answering these queries by helpdesk systems normally takes much time, requires manpower, and cause some errors in communication. Since most of these questions are repetitive, where chatbots can be used to handle this time-consuming task of replying to all the queries of these students, personally and automatically. This will save the time of the students and release the burden of administration offices and helpdesks of universities. Moreover, the students will not need to visit administration offices or will not need to wait in telephone lines with helpdesk to gather the information that they require. This project acts as a real time chat application with an effective Graphical User Interface, embedded in university website and can be accessed by everyone. This system analyses the queries of students and providing them with relevant answers with the help of artificial intelligence. This application can provide answers in both text and audio formats and it is operating as a 24/7 functioning student support system.
URI: http://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4495
Appears in Collections:2020

Files in This Item:
File Description SizeFormat 
2017 MIT 039.pdf1.88 MBAdobe PDFView/Open


Items in UCSC Digital Library are protected by copyright, with all rights reserved, unless otherwise indicated.