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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

A study on AI powered logo generation system

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Kishan Konka, Rahul Saini *, SaiTeja Nalla and Subash Anumulapuri

Department of CSE (AI&ML), ACE Engineering College, India.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(02), 2865-2869

Article DOI: 10.30574/wjarr.2025.26.2.1804

DOI url: https://doi.org/10.30574/wjarr.2025.26.2.1804

Received on 04 April 2025; revised on 14 May 2025; accepted on 16 May 2025

In today’s fast-paced digital world, creating unique and high-quality brand identities is crucial for    startups and creators. Traditional logo design often requires professional designers and significant time investment. This paper presents a modern AI-powered logo generator system built with Next.js, React, Gemini API, and Hugging Face. It provides users with a seamless platform to generate personalized, creative logos based on textual prompts and brand personality. The system uses modern web technologies for responsiveness and interactivity and leverages artificial intelligence for creative image synthesis. By combining Gemini's generative text-to-image API and Hugging Face’s deep learning models, the platform enables real-time logo design, customization, and export, making it ideal for individuals and businesses aiming for fast, cost-effective brand development.

Next.js; React. js; Hugging Face; Gemini API; Logo Generator; Tailwind CSS; Generative AI

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1804.pdf

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Kishan Konka, Rahul Saini, SaiTeja Nalla and Subash Anumulapuri. A study on AI powered logo generation system. World Journal of Advanced Research and Reviews, 2025, 26(2), 2865-2869. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1804

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