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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | AI in Action using Reactjs |
| Authors Name: | Mr. Deepak Kumar , Ms. Upasna Setia |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_204078
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| Published Paper Id: | IJNRD2308285 |
| Published In: | Volume 8 Issue 8, August-2023 |
| DOI: | |
| Abstract: | Artificial intelligence (AI) recently evolved as a game-changing technologies with application areas in a broad range of sectors. React(JS), a Js toolkit for creating user interfaces, offers a strong foundation for adding Automation functionalities. Web based apps are rapidly combining Abilities. This study examines the interrelationship among both AI and React(JS),emphasising how AI may be used to good advantage in react dependent web apps. By utilising AI's capacity to work with data, derive, and provide Smart replies, the combination of AI with ReactJS allows flexible and adaptable customer engagement. Engineers may build programmes that comprehend UI View, evaluate natural language, and offer suggestions according to setting by effectively blended AI services. The element architecture of React(JS) makes it easy to incorporate Intelligence components, increasing user interaction as well as involvement. This article explores genuine React(JS) AI connection cases.: The article discusses the difficulties in processing API calls, controlling the performance of AI models, and guaranteeing user confidentiality and safety of information when integrating AI in React(JS) apps. To offer a flawless user experience, it highlights the significance of effective error management, optimisation, and ongoing monitoring. Suggestions and Customization: explains how Intelligence recommendation systems may be used with React(JS) to create tailored user experiences while streamlining digital distribution and raising customer happiness. A powerful potential to develop entertaining, perceptive, and consumer online apps is provided by the union of AI and React(JS). React(JS) developers may extend the bounds of human input and improve the overall standard of online Knowladge by utilising AI's skills.This article offers insights into implementation approaches and illustrates the possibilities of AI in use inside online applications, serving as a resource for comprehending the interplay between AI and React(JS). |
| Keywords: | AI (Machine Learning), Web-Frameworks (Django), APIs & Webservices, ReactUI |
| Cite Article: | "AI in Action using Reactjs", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 8, page no.c632-c639, August-2023, Available :http://www.ijnrd.org/papers/IJNRD2308285.pdf |
| Downloads: | 000118750 |
| 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 |
| Publication Details: |
Published Paper ID:IJNRD2308285 Registration ID: 204078 Published In: Volume 8 Issue 8, August-2023 DOI (Digital Object Identifier): Page No: c632-c639 Country: west delhi, delhi, india Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2308285 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2308285 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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