Secure Full Stack Architecture for an AI-Powered Remote Education Platform

21 Jul

Authors: Ayushi Kumari, Priya Chanchal, Tannu Saniya, Vanshika Garg

Abstract: The rapid expansion of online learning systems has significantly increased the demand for intelligent, scalable, and secure educational platforms. Existing e-learning systems primarily focus on content delivery and require substantial manual effort for course creation, multimedia integration, and learner management. This research presents a Secure Full Stack Architecture for an AI-Powered Remote Education Platform capable of automatically generating structured educational content using Large Language Models (LLMs). The proposed system integrates Artificial Intelligence with modern full-stack web technologies to automate course layout generation, chapter-wise content creation, multimedia integration, user authentication, subscription management, and progress tracking. The platform is implemented using React, Next.js, Tailwind CSS, Neon PostgreSQL, Drizzle ORM, and Clerk Authentication, while Google Gemini API is utilized for AI-driven content generation. The system follows a cloud-native SaaS architecture deployed on Vercel to ensure scalability, performance, and maintainability. Experimental observations demonstrate that the platform effectively reduces manual content creation effort while providing secure and responsive user experiences. The proposed architecture serves as a practical framework for future AI-enabled remote education systems.

DOI: https://doi.org/10.5281/zenodo.21468345