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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM41186

AI Powered Student Assistant ChatBot

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM41186

Volume:

9 |

1 |

Jan 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM41186

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SSB

S. S. Bhosale

TK

Tejas Kothawade

VK

Viraj Kharade

SM

Suraj Mitake

AK

Adinath Khose

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Abstract

The increasing number of questions in the admission process of engineering and polytechnic colleges under the Department of Technical Education, is making it impossible for institutions to manage queries using traditional methods. To enhance communication and provide relevant information, centrally developed AI-enabled chatbots can be used to act as virtual assistants. The chatbot will automatically answer questions related to admissions, eligibility, fees, scholarships, courses, hostel facilities, and placement times. The chatbot, available 24/7, will reduce the workload of employees, enhance user experience, and provide insights to improve services. With machine learning, the system can adapt and improve its performance based on user interaction and provide accurate and relevant information. Chatbots not only improve response time but also eliminate the need for human intervention in solving many problems. In addition, the design of the education system will ensure the dissemination of information in every school, equality and accuracy. Thanks to natural language processing, which allows multilingual support, chatbots will make the inquiry process more efficient and effective by providing access to a wider audience, thus allowing students and participants to make their own decisions.

KEYWORDS

AI-powered chatbot 24/7 virtual assistant Admission inquiries Automationn Multilingual support

Cite This Article

S. S. Bhosale, Tejas Kothawade, Viraj Kharade, Suraj Mitake, Adinath Khose, "AI Powered Student Assistant ChatBot," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 1, Jan 2025. https://doi.org/10.55041/IJSREM41186

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Publication Date

1/29/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Copyright Form (Office)

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0

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6

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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