A study on AI powered logo generation system

Konka, Kishan and Saini, Rahul and Nalla, SaiTeja and Anumulapuri, Subash (2025) A study on AI powered logo generation system. World Journal of Advanced Research and Reviews, 26 (2). pp. 2865-2869. ISSN 2581-9615

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Abstract

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.

Item Type: Article
Official URL: https://doi.org/10.30574/wjarr.2025.26.2.1804
Uncontrolled Keywords: Next.js; React. js; Hugging Face; Gemini API; Logo Generator; Tailwind CSS; Generative AI
Depositing User: Editor WJARR
Date Deposited: 20 Aug 2025 11:20
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/3298