• Dinesh Tripathi
• Devanjan Ghosh
• Bikash Kumar Das
• Dr.Himanshu Sirohi

This paper presents the design and development of a modern SaaS AI platform that integrates artificial intelligence services into a scalable, user-friendly web application. Built with Next.js 13 and React, the platform leverages server-side rendering and the App Router for enhanced performance and maintainability. Tailwind CSS is utilized for rapid UI development with a clean, responsive design system. Prisma provides a robust ORM layer, enabling type-safe and efficient interactions with the database, while Stripe handles subscription billing and secure payment processing. The platform offers a suite of AI-powered tools including chatbots, code generation, and image creation accessible through a modular dashboard. Core features include authentication, usage tracking, and multi-tenant support to cater to diverse user needs. This research explores the architectural decisions, implementation challenges, and optimization strategies required to deliver real-time AI functionality at scale. Through performance benchmarks and usability analysis, the paper demonstrates how modern full-stack technologies can streamline the development of AI-powered SaaS solutions. The proposed platform serves as a practical blueprint for developers aiming to commercialize AI capabilities through cloud-native, subscription-based models. Future work will explore model customization, fine-tuning, and enhanced user analytics to further improve platform value.

Artificial Intelligence (AI), Software as a Service (SaaS), Cloud Computing, Cloud-based Platforms

"Enhancing Cloud Computing Efficiency through SaaS-Based Artificial Intelligence Solutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.l497-l506, May-2025, Available :http://www.jetir.org/papers/JETIR2505C44.pdf

"Enhancing Cloud Computing Efficiency through SaaS-Based Artificial Intelligence Solutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppl497-l506, May-2025, Available at : http://www.jetir.org/papers/JETIR2505C44.pdf