This paper is published in Volume-4, Issue-3, 2018
Area
Chatbot
Author
Guruswami Hiremath
Co-authors
Aishwarya Hajare, Priyanka Bhosale, Rasika Nanaware, Dr. K. S. Wagh
Org/Univ
AISSMS Institute of Information Technology, Pune, Maharashtra, India
Pub. Date
01 May, 2018
Paper ID
V4I3-1155
Publisher
Keywords
Pattern Matching, NLP, Machine learning, Response generation.

Citationsacebook

IEEE
Guruswami Hiremath, Aishwarya Hajare, Priyanka Bhosale, Rasika Nanaware, Dr. K. S. Wagh. Chatbot for education system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Guruswami Hiremath, Aishwarya Hajare, Priyanka Bhosale, Rasika Nanaware, Dr. K. S. Wagh (2018). Chatbot for education system. International Journal of Advance Research, Ideas and Innovations in Technology, 4(3) www.IJARIIT.com.

MLA
Guruswami Hiremath, Aishwarya Hajare, Priyanka Bhosale, Rasika Nanaware, Dr. K. S. Wagh. "Chatbot for education system." International Journal of Advance Research, Ideas and Innovations in Technology 4.3 (2018). www.IJARIIT.com.

Abstract

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 chatbots such as facebook chatbot, WeChat, Natasha from Hike, Operator, etc. were giving reply from its local database. But our approach is to focus on the local database as well as web database and also to make system scalable, user-friendly, 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.
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