Modelling a Conversational AI Chatbot for Academic Websites

Authors

  • T Bhaskar Department of Computer Engineering, Sanjivani College of Engineering, Savitribai Phule Pune University, Kopargaon, India
  • YA Dive Department of Computer Engineering, Sanjivani College of Engineering, Savitribai Phule Pune University, Kopargaon, India
  • AJ Gujarathi Department of Computer Engineering, Sanjivani College of Engineering, Savitribai Phule Pune University, Kopargaon, India
  • S.A. Gangurde Department of Computer Engineering, Sanjivani College of Engineering, Savitribai Phule Pune University, Kopargaon, India
  • ND Rajput Department of Computer Engineering, Sanjivani College of Engineering, Savitribai Phule Pune University, Kopargaon, India

DOI:

https://doi.org/10.26438/ijcse/v10i3.812

Keywords:

Chatbot, Machine learning, Naive bayes classifier, NLP, Cosine similarity

Abstract

This project aims in developing a conversational chatbot for college universities, which can converse in any desired language. The main purpose of the planned system is to develop a chatbot which can intelligently answer all the queries related to universities. For this purpose, machine learning algorithms are used. Primarily, NLP (Natural Language Processing) is used for the interaction between the chatbot and the user. To answer the users query, many different machine learning algorithms can be used. For this purpose, we move to cosine similarity. It, in a way, helps the chatbot to search for the answer to the user's query. Also, various libraries are used for different purposes like accepting the audio input, converting speech to text, translating to desired language, etc. The pandemic has affected a lot of fields around the world. One of them is the educational field. Many students in the urban as well as the rural parts of India were not able to visit the universities to get information about academics. This chatbot would eliminate these worries. All the information needed can be accessed online

References

[1] Prof. Darshan A. Patel, Neelkumar P. Patel1, “AI and Web-Based Human-Like Interactive University Chatbot (UNIBOT)”, IEEE Xplore, pp. 309-315, 2020.

[2] A K M Shahariar Azad Rabby, Md. Majedul Islam, “Language Detection using Convolutional Neural Network”, IEEE Xplore, pp. 1-5,2020.

[3] A. Ansari, M. Maknojia and A. Shaikh, “Intelligent question answering system based on ArtificialNeural Network,” IEEE International Conference on Engineering and Technology (ICETECH), pp. 1793-1805, 2017.

[4] B. R. Ranoliya, N. Raghuwanshi and S. Singh,” Chatbot for university related FAQs,” 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1-6, 2018.

Downloads

Published

2022-03-31
CITATION
DOI: 10.26438/ijcse/v10i3.812
Published: 2022-03-31

How to Cite

[1]
T. Bhaskar, Y. Dive, A. Gujarathi, S. Gangurde, and N. Rajput, “Modelling a Conversational AI Chatbot for Academic Websites”, Int. J. Comp. Sci. Eng., vol. 10, no. 3, pp. 8–12, Mar. 2022.

Issue

Vol. 10 No. 3 (2022): IJCSE March Edition

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.