PDF-Chat SaaS Platform Using MERN Stack

DOI

https://www.doi.org/10.59256/ijire.20240501007

Published In

Volume 5, Issue 1 (2024)

Published Online

January-February 2024

Pages

37-40

Article Type

Research Article

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With the rise of PDF-Driven Question Answering Software as a Service (SaaS) platforms in recent years, the field of document processing technology has experienced a paradigm shift. Examining these systems difficulties in detail, this review article concentrates on how they include Next.js, React, Prisma, TRPC, and Tailwind CSS into the MERN (MongoDB, Express.js, React, Node.js) stack. With a careful analysis of the architecture, functions, and ramifications, this study seeks to offer a thorough grasp of the technological developments behind this groundbreaking methodology. The research holds significance due to its intersectionality, as it seamlessly integrates document processing, user interaction, and data administration. The foundation of these systems is the use of Prisma for effective database administration, Next.js and React for creating dynamic and responsive user interfaces, TRPC for reliable API connectivity, and Tailwind CSS for contemporary and beautiful styling. A comprehensive strategy like this tackles the difficulties in processing PDF documents for user identification, question-answering, and facilitating seamless communication between front-end and back-end components. The research attempts to significantly advance our understanding of PDF-driven question-answering SaaS systems by doing this thorough review. Giving insights into the opportunities and complexities of technology, it is a useful tool for practitioners, academics, and developers. These results highlight how important MERN stack technologies are for developing reliable, scalable, and user-focused solutions for the changing document-centric application market.