IEEE Style Citation: T. Bhaskar, Y.A. Dive, A.J. Gujarathi, S.A. Gangurde, N.D. Rajput, “Modelling a Conversational AI Chatbot for Academic Websites,” International Journal of Computer Sciences and Engineering, Vol.10, Issue.3, pp.8-12, 2022.
MLA Style Citation: T. Bhaskar, Y.A. Dive, A.J. Gujarathi, S.A. Gangurde, N.D. Rajput "Modelling a Conversational AI Chatbot for Academic Websites." International Journal of Computer Sciences and Engineering 10.3 (2022): 8-12.
APA Style Citation: T. Bhaskar, Y.A. Dive, A.J. Gujarathi, S.A. Gangurde, N.D. Rajput, (2022). Modelling a Conversational AI Chatbot for Academic Websites. International Journal of Computer Sciences and Engineering, 10(3), 8-12.
BibTex Style Citation:
@article{Bhaskar_2022,
author = {T. Bhaskar, Y.A. Dive, A.J. Gujarathi, S.A. Gangurde, N.D. Rajput},
title = {Modelling a Conversational AI Chatbot for Academic Websites},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2022},
volume = {10},
Issue = {3},
month = {3},
year = {2022},
issn = {2347-2693},
pages = {8-12},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5450},
doi = {https://doi.org/10.26438/ijcse/v10i3.812}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v10i3.812}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5450
TI - Modelling a Conversational AI Chatbot for Academic Websites
T2 - International Journal of Computer Sciences and Engineering
AU - T. Bhaskar, Y.A. Dive, A.J. Gujarathi, S.A. Gangurde, N.D. Rajput
PY - 2022
DA - 2022/03/31
PB - IJCSE, Indore, INDIA
SP - 8-12
IS - 3
VL - 10
SN - 2347-2693
ER -
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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.
[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.
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