Abstract
Quick AI is a full-stack Software as a Service (SaaS) application developed using the PERN stack (PostgreSQL, Express, React, Node.js). It integrates multiple modular AI-powered tools, including features such as article generation and image manipulation. The platform aims to bridge the gap between theoretical knowledge and real-world implementation by providing a user-centric, end-to-end solution that delivers clear, real-time results and is scalable across various industries. The key objectives of this research include evaluating modern authentication and subscription billing systems (such as Clerk) to enhance security and user trust, documenting the integration of modular AI components within a full-stack architecture, and exploring community-driven features to improve user engagement. Overall, Quick AI represents a practical and deployable AI SaaS platform that is secure, flexible, and designed to address dynamic, real-world challenges.
Citations
IRE Journals:
Taha Ansari, Namrata Singh, Aadarsh Singh, Asmit Singh, Prof. Yugandhara Pande "The QUICK AI: A Modular Toolkit for Creative Automation" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 1702-1707 https://doi.org/10.64388/IREV9I10-1716410
IEEE:
Taha Ansari, Namrata Singh, Aadarsh Singh, Asmit Singh, Prof. Yugandhara Pande
"The QUICK AI: A Modular Toolkit for Creative Automation" Iconic Research And Engineering Journals, 9(10) https://doi.org/10.64388/IREV9I10-1716410
About IRE Journals
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