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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM61144

AI SaaS Website Builder: An Intelligent Platform for Instant Website Generation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM61144

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem61144

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

DS

Dhyan Senghani

MIT

Mr. Ishan Thakkar

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Abstract

Imagine how different the process of building a website was just a few years ago. You would hire a professional web developer, wait for weeks or even months, spend thousands of dollars, or alternatively, struggle with complicated drag-and-drop builders that still required significant technical understanding. These traditional approaches, though functional, created substantial barriers for small businesses, entrepreneurs, and individuals who simply wanted an online presence. In this paper, we have guided the readers on our ideas towards creating an AI-powered SaaS website builder workflow, how we constructed it and tested it, and how it can be of value to users seeking instant website generation. The platform allows users to describe their desired website in plain language and receive a fully functional, deployed website within minutes. Our features included AI-driven code generation, one-click deployment, credit-based monetization, secure authentication, and smooth user interfaces. The most important contributions here have been the creation of an adaptable architecture to support prompt-to-website conversion, ensuring the interface performs excellently across devices, and actually analyzing the question of whether the platform is working by evaluating user reactions. What we discovered was fairly promising—users saved tremendous development time, non-technical individuals could create professional websites, and the credit-based system proved to be a sustainable monetization model. The AI generation approach proved to be a win-win as users receive instant results when they need them and the platform receives a way of sustaining its operations through subscription and credit purchases. This study contributes to the existing information about AI-powered development tools and provides practical guidance to anyone developing such a type of intelligent website generation platform.

KEYWORDS

AI Website Builder SaaS Platform Automated Code Generation Large Language Models MERN Stack One-Click Deployment

Cite This Article

Dhyan Senghani, Mr. Ishan Thakkar, "AI SaaS Website Builder: An Intelligent Platform for Instant Website Generation," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/ijsrem61144

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Publication Date

4/24/2026

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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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