Integrating Generative AI into Java Full Stack Applications

Authors:

Mrs. Shaziya Nusrath SK¹, Venkatamanohar Chimaladhinne²

¹Assistant Professor, Department of Computer Science and Engineering, St. Martin’s Engineering College, Hyderabad, India shaziyanusrathskcse@smec.ac.in

²Student, Department of Computer Science and Engineering, St. Martin’s Engineering College, Hyderabad, India venkatamanohar62@gamil.com

Abstract

The rapid evolution of Generative Artificial Intelligence (GenAI) has transformed the way modern software applications are designed, developed, and deployed. Integrating GenAI into Java Full Stack applications enables developers to build intelligent, adaptive, and user-centric systems that enhance productivity and user experience. This article explores the integration of Generative AI models with Java-based backend frameworks such as Spring Boot and frontend technologies like React or Angular. It discusses how AI services can be embedded into full stack architectures using REST APIs, microservices, and cloud-based AI platforms. The study also highlights practical use cases including automated content generation, intelligent chatbots, code assistance, and data-driven decision-making systems. Furthermore, it addresses challenges such as latency, security, model integration complexity, and cost optimization. The goal is to provide a comprehensive understanding of how Generative AI can be effectively leveraged within Java Full Stack ecosystems to build next-generation intelligent applications..

Keywords: Generative AI, Java Full Stack, Spring Boot, REST APIs, Microservices, Intelligent Applications.