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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

DESIGN AND DEVELOPMENT OF AN AI-POWERED SYSTEM FOR AUTOMATED VIDEO ADVERTISEMENT GENERATION

D. Ashok G. Naveen

Department of Computer Science & AI Central University of Andhra Pradesh Ananthapuramu India
DOI:https://doi.org/10.55041/ijcope.v2i5.280

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Abstract

The creation of video advertisements traditionally demands substantial creative expertise, time, and financial re-sources, rendering it inaccessible to small enterprises and individ-ual entrepreneurs. This paper presents the design, architecture, and evaluation of an end-to-end AI-powered platform that automates the complete video advertisement production pipeline. Given only a product name as input, the system invokes the GLM-4.5-Air large language model through the OpenRouter API to generate three stylistically distinct, thirty-second advertisement scripts. The user selects a preferred script and uploads product images, which are subsequently assembled into a synthesized video using the MoviePy library. System security and data persistence are managed by Clerk authentication and the Convex backend, respectively, while a FastAPI service layer orchestrates all inter-module communication. Experimental evaluation across diverse product categories demonstrates a mean script generation latency of 3.2 seconds, a video rendering time of under 12 seconds for a 30-second output clip, and a System Usability Scale (SUS) score of 84.6 out of 100. These results confirm that the proposed framework substantially reduces production effort compared with conventional manual workflows, and democratizes high-quality video advertising for non-technical users.

Index Terms—Automated Advertisement Generation, Large Language Models, Natural Language Processing, Video Synthe-sis, MoviePy, FastAPI, Digital Marketing Automation

How to Cite this Paper

Ashok, D. & Naveen, G. (2026). Design and Development of an AI-Powered System for Automated Video Advertisement Generation. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.280

Ashok, D., and G. Naveen. "Design and Development of an AI-Powered System for Automated Video Advertisement Generation." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.280.

Ashok, D., and G. Naveen. "Design and Development of an AI-Powered System for Automated Video Advertisement Generation." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.280.

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  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: May 09 2026
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