Authors : Pedireddi Ujwala Sai; Nilla N. V. N. Lakshmi; Suthapalli Y. S. Guptha; Maddala Aakash; Ambadipudi A. K. K. Sarma; Yadala Yasaswini Naidu; Mamidisetti Lilly Sri

Volume/Issue : Volume 11 - 2026, Issue 4 - April

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Google Scholar : https://tinyurl.com/2s3h2ajc

Scribd : https://tinyurl.com/4vhrdd6c

DOI : https://doi.org/10.38124/ijisrt/26apr114

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : The sudden growth in digital learning has created a severe demand for systems that can generate personalized, structured educational content. The AI Course Generator caters to this demand by using generative AI in the development of user topics into fully developed course modules. The paper describes the architecture, design, and implementation of such a system that uses modern Web technologies in integration with AI and multimedia APIs to produce clean, well-organized chapters, passing on examples and video references. This paper describes the architecture, design, implementation, and evaluation of the system while keeping the originality and eliminating plagiarism through fully rephrased descriptions.

Keywords : Artificial Intelligence, Generative AI, Course Automation, Educational Technology, Gemini API, Drizzle ORM.

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