📞 +91-7667918914 | ✉️ ijireeice@gmail.com
International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering
International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2321-2004ISSN Print 2321-5526Since 2013
IJIREEICE meets the suggestive parameters outlined in the latest University Grants Commission (UGC) for peer-reviewed journals, ensuring high standards of research integrity, publication ethics, and academic excellence.
← Back to VOLUME 14, ISSUE 6, JUNE 2026

AI SaaS Platform Using PERN Stack

Prof. P. A. Patil, Dr P. N. Shinde, Atharva Kharat, Atharva Jagtap, Ajay Rathod

👁 6 views📥 2 downloads
Share: 𝕏 f in
Abstract: In recent years, Artificial Intelligence has made a revolution in web applications through automatic generation of content, image processing, productivity services, and so on. This paper will describe the design and implementation of AI-integrated Software as a Service (SaaS) built with the PERN stack that consists of PostgreSQL, Express.js, React.js, and Node.js. In this regard, the platform will incorporate various AI tools into one web app, which would give users access to AI services through a friendly and centralised environment. Specifically, the software will include Article Generator, Blog Title Generator, AI Image Generator, Background Removal, Object Removal, and Resume Review services. To achieve that goal, this project uses cutting-edge AI APIs that include the OpenAI API, Gemini API, Clipdrop API, and Cloudinary services for content generation and image manipulation. Besides, Clerk authentication is used for managing users' accounts, while Neon PostgreSQL serves as the database to securely store information. As for the frontend, Vercel is utilized to deploy the application.

To conclude, the suggested system aims at saving users' time and effort spent when using artificial intelligence technology for the creation of content and editing images. Additionally, the application implements a concept of partial free access according to which a user is allowed to use certain AI programs, such as Article Generator and Blog Title Generator, within a specific limit. The usage of advanced programs will be possible after purchasing access through subscriptions.

Keywords: Artificial Intelligence, SaaS Platform, PERN Stack, React.js, Node.js, PostgreSQL, OpenAI API, Gemini API, Image Processing, Cloud Computing

How to Cite:

[1] Prof. P. A. Patil, Dr P. N. Shinde, Atharva Kharat, Atharva Jagtap, Ajay Rathod, “AI SaaS Platform Using PERN Stack,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2026.14628

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.