AI Online Learning Platform

Abstract

The explosive proliferation of online education has highlighted the inadequacies of legacy e-learning platforms, which tend to be based on static material and a single-fits-all strategy. This project is introducing a next-generation, AI-native learning platform that converts passive content viewing into active, personalized course creation. Developed with a contemporary serverless-first tech stack, the app leverages Next.js, React.js, and Tailwind CSS to provide an adaptive and dynamic user interface. Backed by a serverless Postgres database running on scalable Neon, managed via type-safe Drizzle ORM for strong data integrity. The core innovation of the platform is integration with a generative AI Large Language Model (LLM) at its core, which allows users to build fully personalized AI-powered courses based on their specific learning objectives. By specifying a topic, users get a whole course outline with modules, lessons, and extras. This is complemented by secure Clerk authentication, a clever progress-tracking dashboard, and customized course roadmaps. To add further value to the learning process, the platform automatically aggregates and connects appropriate YouTube videos, offering an out-of-the-box multi-modal learning experience. This initiative is a paradigm shift in e-learning, providing a scalable, secure, and extremely personalized system in which learners actively drive their own educational journeys.

Introduction

Most existing platforms use a static, one-size-fits-all model, where learners choose from pre-built courses that often fail to match individual needs. This leads to low engagement, poor retention, and outdated content because course creation is manual, slow, and unable to keep up with rapidly changing subjects.

To solve this, the proposed system introduces an AI-first, serverless e-learning platform built using modern technologies like Next.js, React.js, Tailwind CSS, and a scalable backend with Neon Postgres and Drizzle ORM. Its key innovation is a generative Large Language Model (LLM) that allows users to create complete, structured courses from a single topic input. These courses include modules, lessons, and supporting materials, making learning highly personalized and on-demand.

The platform also includes secure authentication (Clerk), a smart dashboard for tracking progress, and automatic integration of YouTube resources to enhance learning. Users shift from passive learners to active creators, generating their own customized learning paths.

Conclusion

The e-learning platform built in this project effectively illustrates a paradigm shift from passive consumption of static content to dynamic, on-demand course construction [1], [4], [12], [23]. Through the use of a generative AI model in a contemporary, serverless web application, it seamlessly meets the fundamental challenges of personalization, content relevance, and user engagement that constrain conventional platforms [2], [5], [6], [17]. The instant creation of customized curricula made possible by the system liberates learners, making them active participants in the learning process [3], [10], [16].

References

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Copyright

Copyright © 2026 Dr. Nikita R Hatwar, Mayur S Burale, Yash D Ukare, Rupesh L Rahangdale, Vrushabh S Hedaoo, Vaibhav D Bhoyar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.