Authors : Cynthia S; Durga N; Jayavarshini JK; Merlin Mahima A; Bala Abirami B

Volume/Issue : Volume 10 - 2025, Issue 5 - May

Google Scholar : https://tinyurl.com/38au9xv6

DOI : https://doi.org/10.38124/ijisrt/25may574

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

Abstract : The increasing demand for video content on digital platforms necessitates rapid, scalable, and cost-effective production methods. This paper introduces an innovative, automated video generation platform that integrates advanced Natural Language Processing (NLP), Text-to-Speech (TTS), and AI-driven image generation. Designed to democratize content creation, the proposed system leverages a modular, cloud-based architecture to produce high-quality videos with minimal human intervention. We discuss the system architecture, implementation details, workflow processes, performance evaluations, and the challenges encountered. Future enhancements are also proposed to further expand the platform’s capabilities.

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