BrandSpark: AI-Powered Logo Generator with Google AI Studio

This post is my submission for DEV Education Track: Build Apps with Google AI Studio.

What I Built

I created BrandSpark, a web app that leverages Google Gemini and Imagen models (via Google AI Studio) to generate complete branding kits in seconds.

• Key prompt used:

  • “Create an app which uses Al to generate unique logos and branding descriptions for businesses, projects, and teams. Users provide details and receive a custom logo and tagline created by Gemini.”

• Additional features:

  • Choice of logo styles (Modern, Retro, Geometric, etc.)
  • Predefined color palettes (Vibrant, Earthy, Monochromatic, etc.)
  • Downloadable PNG assets and persistent local state

Demo

Here’s a quick look at BrandSpark in action:

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Also you can check out the website at: BrandSpark

My Experience

Working through the Build Apps with Google AI Studio track taught me:

1. Seamless API Integration:

• How to structure requests to Google Gemini for text‑based prompt engineering.
• Chaining responses into Gemini model calls for high‑quality image outputs.

1. Prompt Engineering Nuance:

• Small tweaks in phrasing dramatically affected logo composition and color balance.
• Iterating on prompts led to much crisper, on‑brand visuals.

1. State Management & UX Considerations:

• Saving user inputs/results in localStorage made the experience frictionless.
• Implementing spinners and error messages ensured smooth, transparent feedback.

What surprised me most was how quickly the AI iterated on dozens of design variations—the combination of Google’s large‑language and image models felt truly magical. This project sharpened my full‑stack skills (React, Vite, Tailwind) while deepening my understanding of modern generative‑AI workflows.