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Erasmus – AI Chatbot

Jash Thakkar1 , Purva Raut2 , Yash Doshi3 , Krishma Parekh4

Section:Technical Paper, Product Type: Journal Paper
Volume-6 , Issue-10 , Page no. 498-502, Oct-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i10.498502

Online published on Oct 31, 2018

Copyright © Jash Thakkar, Purva Raut, Yash Doshi, Krishma Parekh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Jash Thakkar, Purva Raut, Yash Doshi, Krishma Parekh, “Erasmus – AI Chatbot,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.10, pp.498-502, 2018.

MLA Style Citation: Jash Thakkar, Purva Raut, Yash Doshi, Krishma Parekh "Erasmus – AI Chatbot." International Journal of Computer Sciences and Engineering 6.10 (2018): 498-502.

APA Style Citation: Jash Thakkar, Purva Raut, Yash Doshi, Krishma Parekh, (2018). Erasmus – AI Chatbot. International Journal of Computer Sciences and Engineering, 6(10), 498-502.

BibTex Style Citation:
@article{Thakkar_2018,
author = {Jash Thakkar, Purva Raut, Yash Doshi, Krishma Parekh},
title = {Erasmus – AI Chatbot},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {6},
Issue = {10},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {498-502},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3053},
doi = {https://doi.org/10.26438/ijcse/v6i10.498502}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i10.498502}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3053
TI - Erasmus – AI Chatbot
T2 - International Journal of Computer Sciences and Engineering
AU - Jash Thakkar, Purva Raut, Yash Doshi, Krishma Parekh
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 498-502
IS - 10
VL - 6
SN - 2347-2693
ER -

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Abstract

ERASMUS is a chat bot on Facebook which is used to answer the queries related to the college information in one go. There has been an increasing demand for Chatbots on the websites of colleges or Educational Institutes. The college websites are generally unmaintained and filled with redundant information. Finding the required information on the website becomes a tedious task for students, teachers, parents or other users. The problem also gains a boost during time of admission, as the requirement for information increases during that time. A chatbot on the college website will help the users find the required information in a few clicks and questions. The chat bot detects the intent of the queries received from the users and accordingly parses the website to find the related information. There is no specific format the user must follow. The system uses built in artificial intelligence to answer the queries. The user can query any college related activities through the system. The user does not have to personally go to the college website for any enquiry.

Key-Words / Index Term

Chatbot, Intent, API.AI, AI, Natural Language Processing, Machine Learning, Artificial Intelligence

References

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