Current Volume 9
Abstract
The rapid growth of digital marketing has created an urgent demand for intelligent, automated content generation tools. Conventional social media marketing workflows rely on multiple disconnected tools—graphic design platforms, copywriting utilities, hashtag planners, and brand management systems—that collectively impose high time, cost, and coordination burdens. We present AdVantage Gen, an AI-powered Automated Social Media Campaign Studio that integrates image generation, caption synthesis, hashtag optimisation, brand overlay, and platform-specific formatting within a single unified pipeline. The system accepts a natural-language prompt and autonomously produces complete, platform-ready marketing assets using multi-modal Artificial Intelligence. The stack comprises React for the frontend, Node.js/FastAPI for the backend, Hugging Face Diffusion Models for image generation, and Google Gemini for text synthesis. Evaluation demonstrates a 100% functional test pass rate, campaign assembly within 10–15 seconds, and a feature profile superior to representative incumbent platforms.
Keywords
Generative AI; Social Media Automation; Diffusion Models; Natural Language Processing; Marketing Technology; Prompt Engineering; Full-Stack Web Development; Google Gemini; Hugging Face.
Citations
IRE Journals:
Yash Badgujar, Shripad S. Bhide "AdVantage Gen – An AI-Powered Automated Social Media Campaign Studio" Iconic Research And Engineering Journals Volume 9 Issue 12 2026 Page 31-35 https://doi.org/10.64388/IREV9I12-1718522
IEEE:
Yash Badgujar, Shripad S. Bhide
"AdVantage Gen – An AI-Powered Automated Social Media Campaign Studio" Iconic Research And Engineering Journals, 9(12) https://doi.org/10.64388/IREV9I12-1718522
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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