Created with GPT 4o

I’ve always been fascinated by how AI can understand the world, especially nature.

So, I asked myself: Can I build an app that identifies any plant, without writing code?

Turns out… yes. All I needed was Gemini and Firebase Studio.

The Portal: Firebase Studio

Reference

I opened Firebase Studio. You can code here — but I didn’t.
Instead, I used the magic door: Prompting.

You can start from a template, a repo, or… just describe what you want.

SS of the output

But instead of using codes, let’s do it with the prompt. I always wonder how apps can calculate calories from a given photo, so let’s develop one, by just prompting.

Here is my prompt:

An app that tracks calorie of a given photo by first creating ingredients

Here is the first draft.

Good, let’s click on Prototype this App.

Good, it started creating this app. Amazing.

So fast and No-code!

And now the app is ready in 5 minutes.

CalorieSnap

It asks you one thing.

Gemini API.

Collect your Gemini API from here, because you had to put here — Gemini key update.

Testing Time

LeafyAI

I picked a plant image.
Photo by Yuu on Unsplash — a beautiful hibiscus.

Good, let’s use your plant's image. Here is the one that I’ve found ;

Photo by Yuu on Unsplash

Here is the explanation;

Hibiscus 🌺 is so lovely, no wonder that this flower attracts insects 🐝🐞🐛🦋

Let’s upload this image to our Leafy AI.

Here is the output.

SS of the LeafyAI

In just 5 minutes, without code, we have developed an app.

Ready to Go Live?

You can also publish the agent by just clicking.

You must default the project, link the cloud billing account, and set your environment.

And you need 10 more minutes to deploy your app.

Final Touches

It is good, but let’s make it great.

Click on here and explain which changes you want.

Here is my prompt

Design a sophisticated plant identification interface for LeafyAI with these specifications: Color palette: Use a harmonious gradient of greens (sage, emerald, forest) with subtle complementary earth tones Upload area: Create an elegant drop zone with a thin dashed border and leaf icon, transforming to a solid border on hover Typography: Implement light, modern sans-serif fonts with adequate spacing Button styling: Design a gradient green button with subtle shadow and hover animation Background: Incorporate a very subtle leaf or botanical pattern or texture that doesn't distract Layout: Maintain generous whitespace with perfect alignment and balanced proportions Visual feedback: Add delicate animations for uploading and processing states Micro-interactions: Include subtle hover effects on interactive elements Logo: Refine the LeafyAI logo with a more distinctive leaf element or typography Overall aesthetic: Aim for a premium, clean interface that feels professional yet approachable

Let’s see the final look.

Pretty amazing!

And it is live!

More Edits

I could not stop myself. It was so easy, so I want to add more! Next, I developed a feature where you can ask more questions after LeafyAI outputs.

Here, the app is using the API you gave it first, and here is the result.

After each change, you should click on Publish on the top right.

Publishing

And it will make your changes alive.

LeafyAI

Final Thoughts

In just 15 minutes, your app was made and available on the web. And you did this just by clicking.

One word: Amazing!

Google is coming big! Be prepared for the AI summer, because otherwise, AI can also automate your tasks in the future, and your colleague who adapts to AI can be your boss soon.

To ensure that you follow AI news, use AI assistants, and more, consider joining our journey from here.

Here are the free resources.

Here is the ChatGPT cheat sheet.

Here is the Prompt Techniques cheat sheet.

Here is my NumPy cheat sheet.

Here is the source code of the “How to be a Billionaire” data project.

Here is the source code of the “Classification Task with 6 Different Algorithms using Python” data project.

Here is the source code of the “Decision Tree in Energy Efficiency Analysis” data project.

Here is the source code of the “DataDrivenInvestor 2022 Articles Analysis” data project.

“Machine learning is the last invention that humanity will ever need to make.” Nick Bostrom