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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM33240
Volume:
8 |
5 |
May 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
This research paper explores the integration of Natural Language Processing (NLP), Information Retrieval (IR), and Question Answering (QA) techniques to develop an AI-powered chatbot tailored for educational purposes. In response to the growing demand for interactive and personalized learning experiences, the chatbot aims to enhance user engagement by providing accurate and contextually relevant information. Leveraging NLP, the system interprets user queries, while IR mechanisms facilitate the efficient retrieval of educational content. The incorporation of QA mechanisms ensures the delivery of precise answers, fostering an interactive and dynamic learning environment. The paper details the methodology, implementation, and evaluation of the chatbot, emphasizing its potential to transform education by offering intelligent support and facilitating seamless access to educational resources. Ethical considerations, challenges encountered, and future directions for improvement are also discussed, highlighting the broader implications of AI-powered chatbots in shaping the future of education.
KEYWORDS
Publication Date
12/31/45417
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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