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University Chat-bot using Artificial Neural Network

Author(s):

Ronak S. Baldha , A. D Patel Institute of Technology

Keywords:

chat-bot, Natural Language Processing, Response generation, lemmatization, Pattern Matching

Abstract

Chat-bot is a program which provides human conversation using Artificial Intelligence (AI). Chat-bots are designed to work as VIRTUAL ASSISTANTS (VA). They themselves provide a platform for the promotions of the Products and Services online. All Higher Educational Institutes provide the complete information through their internet sites for students, which admit the use of social nets such as Facebook, Whats-app, and Academic websites. Total-in-All, in any website, searching functionality is required to search for any information and it includes Social Media Applications like Facebook and Whats-app regular responses are utilized. Therefore, Chat-bot is an effective auto-response system, and also an instant messaging platform. The purpose of this paper is to develop an automated system which gives a reply to a user query on behalf of a human for the education system. It can give an answer to each and every query asked by the end user. Existing chat-bots such as Facebook chat bot, We Chat, Natasha from Hike, Operator, etc. were giving replies from its local database. Our main aim and focus is to make the system scalable, user-friendly, and highly interactive. Various techniques such as machine learning, NLP, pattern matching, data processing algorithms are used in this paper to enhance the performance of the system. The response principle is matching the input sentence from a user. The User can ask the question any college-related activities through the chat-bot without physically available to the college for inquiry. The System analyses the question and then answers to the user. With the help of artificial intelligence, the system answers the query asked by the students. The system replies using an effective Graphical User Interface as if a real person is talking to the user.

Other Details

Paper ID: IJSRDV9I20374
Published in: Volume : 9, Issue : 2
Publication Date: 01/05/2021
Page(s): 534-537

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