Smart Learning Using Generative AI

Abstract

IttalksabouthowgenerativeAIcanchangetheeducationalenvironment by shininglight onitto explain howitispossible to customizelearning experiences for students. The proposed platform enables the student to select particular topics and algorithms; with this, theAI will be in a position to create particular animated videos with Indian English captions and voiceovers, which seems to speak out an imperativemethodologyofclarificationofcomplexconceptswithincreasedstudent engagement and understanding. The service also keeps instructors updated on the learningperformanceandengagement oflearners;therefore,itmakesthelearning environment more responsive. As educational systems continue to incorporate digital solutions in handling teaching needs, this paper will evaluate the pros and cons of the integration of AI-based technologies into learning environments and concentrate on a more inclusive and effective learning environment that can be developed to satisfy learner needs.

Introduction

Technology, especially generative AI, is transforming education by enabling personalized and interactive learning experiences that move beyond traditional one-size-fits-all teaching. This paper presents a smart learning platform that uses generative AI to create animated educational videos with Indian English voiceovers, allowing students to select topics of interest, improving engagement and comprehension. Teachers gain actionable analytics on student performance to tailor instruction.

A literature survey of 10 papers highlights various AI applications in education, emphasizing personalized learning, improved engagement, video-based learning, and challenges such as data privacy, ethical concerns, and implementation complexity.

The proposed system architecture consists of four layers:

• Presentation Layer: A responsive web interface for user interaction.

• Application Logic Layer: Backend powered by Django, handling user authentication, query processing, and coordinating AI tasks.

• AI Orchestration Layer: Integrates external AI services (Gemini 2.0 Flash for text explanations and LumaAI for video generation) through secure APIs.

• Data Layer: Secure PostgreSQL database storing user data and AI outputs, with cloud storage and caching support.

Security measures and containerization (Docker) ensure a scalable, maintainable, and future-proof platform adaptable to emerging AI technologies.

Conclusion

Theintegrationofadvancedtechnologyhasthepotentialtorevolutionizetheeducationsystembycreatingpersonalizedandeffectivelearningenvironments.Bytailoring content to individual needs and offering innovative tools for comprehension, this approach fosters inclusivity and engagement among learners. Overcoming challenges such as resource optimization, accessibility, and ethical considerations will bepivotalinensuringitssuccessfulimplementation.Aseducationcontinuestoevolve, harnessing these advancements responsibly will pave the way for a future that meets the diverse demands of students and educators alike.

References

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Copyright

Copyright © 2025 Ehtesham Ali Sayyad, Jitesh Kirnapure, Shivam Todkar, Siddheshwar Bali, Prof. Vishal Shinde, Adarsh Landge. 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.