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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMWP49321

PIXART-AI Based PROMT Art Generator Saas App

Stream/Area:

-

Subject:

-

Paper ID:

IJSREMWP49321

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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

S

Saurav

Sy

Sonu yadav

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Abstract

This project focuses on the development of a full-stack SaaS (Software as a Service) application that enables the generation of AI-driven digital art from user-inputted text prompts. Leveraging the MERN stack—MongoDB for data management, Express.js and Node.js for backend services, and React.js for an interactive frontend interface—the application offers a robust and scalable solution tailored for creatives, designers, and digital content producers. Central to the functionality is the integration of the ClipDrop API, which processes natural language prompts and returns high-quality AI-generated images using advanced machine learning models.The platform incorporates a secure user authentication system powered by JSON Web Tokens (JWT), ensuring reliable session handling and access control. A credit-based usage model is implemented, wherein each image generation deducts a predefined number of credits from the user’s account. To support monetization, the system features a fully functional online payment gateway (e.g., Razorpay or Stripe), allowing users to seamlessly purchase additional credits. All user activity, including prompt history and generated images, is stored and managed in a cloud-based database, offering persistent access and efficient record-keeping.The application also emphasizes responsive design through the use of Tailwind CSS, ensuring a smooth user experience across devices. This project demonstrates the practical implementation of generative AI in real-world applications and highlights the potential of combining cloud-based architectures, AI APIs, and modern web development frameworks to build scalable, revenue-generating platforms.

KEYWORDS

AI-Generated Visuals Text-to-Image Synthesis Deep Learning Creative Automation Generative AI Visual Content Generation

Cite This Article

Saurav, Sonu yadav, "PIXART-AI Based PROMT Art Generator Saas App," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025.

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Publication Date

1/5/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

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

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No funding information available for this research.

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