A Web App AI Software as a Service Platform of Creative Tools Using PERN Stack

Abstract

Artificial intelligence technologies are increasingly integrated into digital platforms to support automated content generation, visual design, and analytical tasks. However, most AI-based tools are distributed across independent applications, which forces users to manage multiple platforms and interrupts workflow efficiency. The absence of unified AI environments also creates challenges related to accessibility, cost management, and system organization. This research introduces NexusAI, a web-based Artificial Intelligence Software as a Service (AI SaaS) system designed to combine multiple creative AI tools within a single platform. The system architecture is implemented using the PERN technology stack, which includes PostgreSQL, Express.js, React.js, and Node.js. These technologies provide a scalable infrastructure capable of handling high user interaction and structured data processing.The platform integrates multiple AI-driven modules such as text generation, image synthesis, and document evaluation tools. To maintain computational efficiency and prevent excessive API usage, the system employs a credit-based resource management mechanism that regulates user access to AI services.The proposed system demonstrates that consolidating multiple AI capabilities within a unified SaaS architecture can enhance usability, improve workflow continuity, and support sustainable computational resource management. The results indicate that centralized AI service aggregation can significantly reduce platform fragmentation while providing a scalable foundation for future AI-powered applications.

Introduction

Artificial intelligence has significantly advanced, enabling tasks like content generation, image creation, and document analysis. However, most AI tools are fragmented across multiple platforms, leading to inefficiencies, inconsistent user experiences, and increased operational complexity. Additionally, high computational costs and poor resource management further challenge scalability and sustainability.

To address these issues, the study proposes NexusAI, a unified web-based AI Software as a Service (SaaS) platform that integrates multiple AI tools—such as text generation, image creation, and document analysis—into a single application. Built using the PERN stack (PostgreSQL, Express.js, React.js, Node.js), the system offers a scalable, modular, and efficient architecture.

A key feature of the platform is its credit-based resource management system, where users are allocated credits for performing AI tasks. This ensures fair usage, prevents excessive API consumption, and maintains system stability. The platform also uses modular AI integration, allowing easy addition of new AI services in the future.

The system architecture includes a user-friendly frontend, backend processing layer, AI service integration via APIs, and a structured database. The workflow involves user authentication, tool selection, backend validation, AI processing, and result delivery.

Conclusion

This research presents the design and development of NexusAI, a web-based Artificial Intelligence Software as a Service platform that integrates multiple AI-powered creative tools within a unified system. The objective of the proposed platform is to simplify user interaction with artificial intelligence technologies by combining various AI functionalities such as article generation, blog title creation, image generation, image editing, and resume analysis into a single application. By providing these services through a centralized interface, the system reduces the need for users to access multiple independent platforms and improves overall workflow efficiency. The implementation of the platform using the PERN technology stack, which includes PostgreSQL, Express.js, React.js, and Node.js, ensures a scalable and efficient system architecture. The modular design of the application allows seamless communication between the user interface, backend services, and database management system. This architecture supports reliable request processing, structured data storage, and smooth integration of external artificial intelligence services. An important contribution of the proposed system is the introduction of a credit-based resource management mechanism. This mechanism controls the usage of AI services by assigning credits to users and deducting them whenever AI operations are performed. Such an approach helps maintain fair resource distribution, prevents excessive API consumption, and supports the sustainable operation of the platform. The developed system demonstrates how multiple AI tools can be successfully integrated into a unified SaaS platform to enhance accessibility and usability. By combining modern web technologies with artificial intelligence services, NexusAI provides an efficient environment where users can perform different AI-assisted tasks through a single interface. The results of the implementation indicate that centralized AI platforms can significantly improve productivity and simplify the interaction between users and AI technologies. Overall, the proposed system highlights the potential of AI SaaS platforms in delivering scalable, accessible, and efficient intelligent services. The architecture and methodology presented in this research can serve as a foundation for the development of future AI-driven web applications.

References

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Copyright

Copyright © 2026 Prof. Mr. Shrikant A. Deshmukh, Vishwajit S. Deshmukh, Sameer S. Ahate, Shrivesh R. Chafekar, Vedant S. Bakshi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.