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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM44473

React-Nex – A Modular Component Library with AI-Driven Code Generation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM44473

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM44477

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

SW

Sahil Wagh

SV

Smit Vadhel

RT

Rishabh Tiwari

PAK

Prof. Ashwini Kachare

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Abstract

React-Nex is a modular and efficient NPM package designed to streamline the development process by enabling selective installation of only the necessary components. The project comprises three main repositories: a components repository, a documentation website, and a core repository. The documentation website not only provides instructions for using the components but also features an AI-driven code generation system. This system leverages Retrieval-Augmented Generation (RAG) to dynamically generate and modify component code based on user prompts. The component codes are stored as vector embeddings in a vector database, enabling efficient retrieval and customization. This paper outlines the architecture, functionality, and implementation details of React-Nex, highlighting its innovative approach to modular development and AI-assisted code generation.

KEYWORDS

Modular Component Library React-Nex AI-Driven Code Generation Selective Installation Web Development NPM Package Pre-built UI Elements Code Embeddings.

Cite This Article

Sahil Wagh, Smit Vadhel, Rishabh Tiwari, Prof. Ashwini Kachare, "React-Nex – A Modular Component Library with AI-Driven Code Generation," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM44477

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Publication Date

4/13/2025

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Double-Blind Peer Review

Review Rounds: 2

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

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