Paper Title
Advanced Chatbot Design with AI using Deep Learning
Article Identifiers
Authors
A.V. Sumanth Kumar
Keywords
Chatbot, Deep Learning, AI, Neural networks, Natural Language.
Abstract
Chatbots are software products that rely on natural language processing (NLP) to successfully communicate with humans. Voice communication might be one of the most important features of any chatbot. Despite recent advancements in information technology and artificial intelligence (AI), implementing the Associate in Nursing honest Chatbot paradigm remains a significant problem. Usually, it is employed for a variety of purposes. In general, it should recognize what the user is trying to do and react appropriately. Up to now, an excessive number of choices have been added, greatly enhancing chatbots' informal skills. This study suggests a method for creating a deep neural network-supported chatbot. The information is acquired and handled using a multi-layered neural network. The projected model is innovative in that the bot is trained on any computer file that satisfies the user's needs and desires, implying that the model was generalized from the start. Adding text to speech conversion makes it even more user-friendly.
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How To Cite
"Advanced Chatbot Design with AI using Deep Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.d631-d635, May-2024, Available :https://ijnrd.org/papers/IJNRD2405371.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : d631-d635
Other Publication Details
Paper Reg. ID: IJNRD_221505
Published Paper Id: IJNRD2405371
Downloads: 000121191
Research Area: Engineering
Country: chirala, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405371.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405371
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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