Paper Title
Integration of AWS Services with Amazon Lex: Enhancing Conversational AI Capabilities
Article Identifiers
Authors
BH SRAWANI , OMPRAKASH DEWANGAN
Keywords
AWS, Amazon EC2, Amazon S3, Amazon RDS, Amazon Lambda.
Abstract
Abstract: The integration of Amazon Web Services (AWS) services with Amazon Lex presents a powerful framework for building sophisticated conversational interfaces. This research paper provides a comprehensive exploration of the integration process, covering topics such as setting up AWS accounts, creating Amazon Lex bots, configuring integration with various AWS services like S3, DynamoDB, and Lambda, and implementing best practices for designing conversational interfaces. Additionally, advanced integration techniques including using AWS Step Functions for workflow orchestration, implementing multi- language support, and leveraging Amazon Polly for text-to-speech conversion are discussed. Security, compliance considerations, troubleshooting, debugging, monitoring, and metrics aspects are also addressed to ensure robust and secure integration. This paper serves as a valuable resource for final-year graduation students seeking to understand and implement AWS services integration with Amazon Lex for enhancing conversational AI capabilities.
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How To Cite
"Integration of AWS Services with Amazon Lex: Enhancing Conversational AI Capabilities", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.a642-a648, April-2024, Available :https://ijnrd.org/papers/IJNRD2404080.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : a642-a648
Other Publication Details
Paper Reg. ID: IJNRD_217346
Published Paper Id: IJNRD2404080
Downloads: 000121203
Research Area: Information TechnologyÂ
Country: Raipur, Chhattisgarh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404080.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404080
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
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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