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ISSN Number:
2582-8568


Journal DOI No:
03.2021-11278686

Title:
Talk-Bot for College Management System Using A.I.

Authors:
Prof. Unnati Dhavare

Cite this Article:
Prof. Unnati Dhavare ,
Talk-Bot for College Management System Using A.I.,
International Research Journal of Humanities and Interdisciplinary Studies (www.irjhis.com), ISSN : 2582-8568, Special Issue, January 2025 One Day International Symposium Organized By SETH HIRACHAND MUTHA COLLEGE OF ARTS, COMMERCE & SCIENCE, KALYAN (Maharashtra, India), Page No : 88-93,
Available at : http://irjhis.com/paper/IRJHISIS2501012.pdf

Abstract:

Facilitating communication between humans and robots is the aim of a talkbot. The system has been programmed to recognize sentences and decide how to respond to a query on its own. The user interface of Talk-Bots will be entirely text-based, enabling the user to write commands and get text responses as well as text-to-speech responses. In order to work, talkbots typically have stateful services, which remember past commands. When Talk-Bot's technology is connected with well-known web services, an even wider audience can safely use it. Artificial algorithms that assess user queries and comprehend user messages will be used to build the college inquiry talkbots. The reply premise is comparable to the user's input sentence. Through the Talk-Bot, the user can ask questions about any college-related event without having to visit the campus in person. After analysing the query, the system provides the user with an answer. The system responds to the pupils' question with the aid of artificial intelligence. As though a human were conversing with the user, the system responds with an up-to-date Graphical User Interface. Simply registering and logging in are the only requirements for the user. The Talk-Bots are made up of an interface and core that retrieves the core from MySQL. The complaint's content is parsed, tokenized, stemmed, and filtered using natural language processing tools.



Keywords:

NLP (Natural language processing), Sentiment Analysis, synsets, Word Net.



Publication Details:
Published Paper ID: IRJHISIS2501012
Registration ID: 21738
Published In: Special Issue, January 2025 One Day International Symposium Organized By SETH HIRACHAND MUTHA COLLEGE OF ARTS, COMMERCE & SCIENCE, KALYAN (Maharashtra, India)
Page No: 88-93
ISSN Number: 2582-8568

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ISSN Number

ISSN 2582-8568

Impact Factor

5.71 (2021)

DOI Member


03.2021-11278686