Say Hi to DesignSpark AI

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This is a submission for the Google AI Studio Multimodal Challenge

What I Built

I built DesignSpark AI! ✨

It's a creative partner for developers, designers, and entrepreneurs.

Imagine having a design idea but struggling to visualize it. That's the problem DesignSpark AI solves. It transforms your simple text prompts into ten distinct, high-fidelity Figma-style web app designs.

But it doesn't stop there. It's not just a generator; it's an iterative design studio. You can select any of the generated designs and refine them with more text prompts, making tiny tweaks or massive changes on the fly.

DesignSpark AI is built to crush creative blocks and dramatically accelerate the journey from a vague idea to a tangible design concept.

Demo

Check out the live demo here: Link of Deployed Applet

Here are a few snapshots of the app in action:

A user enters "a friendly pet adoption app" and gets ten beautiful, varied designs.

The user selects one design and uses the Nano Banana editor to "add a 'Donate' button to the header."

How I Used Google AI Studio

Google AI Studio and the Gemini API are the beating heart of this application. I orchestrated a pipeline of different models to create a seamless, powerful user experience.

gemini-2.5-flash: This model is the initial brainstorming engine. I use it to take a user's raw idea and generate ten structured design concepts. Its ability to output reliable JSON based on a schema is absolutely critical. It doesn't just give me text; it gives me a detailed brief for each of the ten designs, covering everything from architecture to typography.
imagen-4.0-generate-001: This is the master artist. For each of the ten concepts generated by Gemini Flash, Imagen 4 creates a stunning, high-resolution visual representation. Its prompt understanding is incredible, allowing it to translate the detailed descriptions into professional UI/UX mockups that look like they came straight from Figma.
gemini-2.5-flash-image-preview (Nano Banana): This is the magic wand. It powers the app's editing feature. It takes an existing image and a text prompt and intelligently modifies the image. This multimodal capability is what makes DesignSpark AI truly interactive and powerful. Changing a color scheme or adding an element is as simple as just asking for it.

Multimodal Features

The core of DesignSpark AI is its deep integration of multimodal AI, creating a fluid conversation between the user, text, and images.

Conceptual Text-to-Detailed Image Pipeline: The app doesn't just do a simple text-to-image conversion. It uses a sophisticated two-step process:
- Text-to-Concepts: The user's prompt is first expanded into ten rich, detailed text-based concepts. This adds a layer of creativity and variety that a single prompt might miss.
- Concepts-to-Images: Each of these detailed text concepts is then used as a unique, highly specific prompt for Imagen 4. This results in ten designs that are not only based on the user's initial idea but also explore different architectural and stylistic angles.
Iterative Image & Text Editing: This is where Nano Banana shines. The user can see an image they almost love and provide a simple text command to perfect it.
- Example: "I love this layout, but can you change the primary color to a deep forest green?"
- This creates a powerful feedback loop that mimics working with a real designer. It’s intuitive, fast, and empowers users to refine their vision without needing any design software. This blend of visual context (the image) and natural language instruction (the text prompt) is the essence of the app's enhanced user experience.