Build an Android App With Google AI Studio in 19 Minutes

Welcome back to All PC Geek., I will show you how to build a professional Android app using Google AI Studio. This is a native Android application where users can [music] register and log in. The app is called AI Task Manager.

This app helps developers organize, plan, and track their daily software development work. Each task appears on the dashboard where developers can mark completed work, remove tasks, [music] and monitor overall project progress. The app also includes an AI [music] assistant that helps developers create tasks, organize their workflow, and suggest what work [music] should be done next. Some of the features I added include Firebase authentication to store user credentials, cloud messaging using OneSignal, biometric fingerprint login, >> [music] >> and many more features.

In this tutorial, you will learn new skills and see…

In this tutorial, you will learn new skills and see how AI can help you build real Android applications. First, make sure you are connected to a stable internet connection because we will use online tools throughout this [music] process. Open Chrome browser or any browser you prefer. In the search bar, type Google AI Studio and press enter.

Once the page loads, scroll down and click the link that says build with Google AI. This will open the official Google AI Studio website. Google AI Studio is a platform from Google that allows developers to test AI models, create prompts, and generate code using artificial intelligence. Click on get started.

If you already have an account, log in. If you don’t have one, create a new account. After you log in, your Google AI Studio interface should look similar to mine. Before entering the prompt, select build an Android app below the prompt box.

Now, we need to describe [music] the app idea we want to build. I already prepared the complete prompt for app we are going to build. I saved it on my official website and I will put the. Open the page and copy the complete prompt.

If you want to understand the full process…

If you want to understand the full process later, you can also read the article on my website. Now, I will highlight [music] the entire prompt and copy it. After copying, go back to Google AI Studio. Paste the prompt here and click build.

Now, Google AI Studio will start building our application. Google AI Studio is now analyzing our prompt and starting to build the application. During this process, the AI is creating the Android project structure, generating the source code, creating the user interface, adding required files, and connecting different parts of the application together. This process may [music] take some time because it is building a complete project, not just generating a small code example.

It is creating things like activities, layouts, authentication logic, database configuration, and app settings. Now, Google AI Studio has finished generating the app and it will automatically launch the Android virtual device so we can preview and test our application. As you can see, it created the complete application. We can register a new account or log in if we already have an account.

Now, let me log in and test the dashboard and some app functions. As I mentioned before, this app is called AI Task [music] Manager. It helps developers organize, plan, and track their daily software development tasks. Developers can create tasks, set priorities, add deadlines, and manage different projects.

For example, a developer working on a fintech application can create tasks like build front-end UI, high priority, create backend system add Firebase and one signal notifications. Each task appears on the dashboard where developers can monitor progress, complete tasks, and manage their workflow. The app also includes an AI assistant that helps developers create tasks and decide what [music] work should be done next. Now let’s check the source code.

To open the source code, click the code button on…

To open the source code, click the code button on the top left. Here we can see the generated project files. Under the UI folder, I [music] can see that Google AI Studio created the project using Kotlin. But for this tutorial, I want [music] to use Java.

I also noticed that the layout folder with XML files is missing. So I will ask Google AI Studio to convert the project from Kotlin to Java and add the XML layout files. In the prompt [music] box, I will type I asked you to use Java instead of Kotlin. Convert the project to Java language and add the layout folder containing XML files.

Now Google AI Studio will modify the project. This may take some time because it needs to rewrite the code and create the missing files. After it finishes, let’s check the source code again. As you can see, it converted the backend files from Kotlin to Java.

And now the layout folder has been added with the XML front-end files. The next step is connecting Firebase. I will use Firebase as the database where the app stores user accounts and authentication information. First, we need the application ID from Google AI Studio.

You can find it inside the build.gradle file

You can find it inside the build.gradle file. Copy the application ID because we will use it to register the app in Firebase. You can find it inside the build.gradle file. Now open a new browser tab.

Search for Firebase and open the official Firebase website. Click go to console in the top right corner. Log in if you already have an account. If you don’t have one, create an account first.

After you log in to Firebase, click create a new Firebase project. Enter your project name and click continue. On the next page, you can enable or disable Google Analytics. For this tutorial, I will disable it and click continue.

Now Firebase will start creating the project. When it says your project is ready, click continue. Now our Firebase project dashboard is open. Click add app and select Android.

In the Android package name field, paste the application ID we copied from Google AI Studio. Add an app nickname if you want. Then click register [music] app. After registering the app, the next step is downloading the google-services.json file.

Now go back to the Google AI Studio tab

Now go back to the Google AI Studio tab. Drag the google-services.json file into the prompt box. Tell Google AI Studio, “This is my Firebase configuration file. Replace the existing Firebase settings with this file.” Then, click send.

Google AI Studio will now integrate Firebase into our application. After it finishes, go back to the Firebase tab. Click next, next, and continue to the console. Now, we need to enable user authentication.

Open the authentication section. Select email and password authentication, enable it, and click save. Now, users can register and log in using email and password. Let me test the registration.

I noticed that I cannot clearly see what I am typing inside the text box. So, I will ask Google AI Studio to improve the register page design and make the input fields more visible. I will send the prompt. Now, it has updated the design.

As you can see, the text fields are…

As you can see, the text fields are now clear and easier to use. Let me register a new user. The registration is completed successfully. This means Firebase authentication is connected correctly.

Let me add new user manually from Firebase. So, I will add email and password. Let go and try to log in. Now, let me log out and test the login system.

I will enter the email and password, then click login. As you can see, login works successfully. The app is now connected to Firebase. Next, I will improve the application design and make it look more modern.

You can find the design improvement prompt below the first prompt on my website. Copy the prompt and send it to Google AI Studio. Now, it will update the app interface. The AI is improving the layout, colors, cards, and overall user experience.

As you can see, the application design looks much better and more professional. Next, I will generate a custom app logo. I will ask Google AI Studio to create an app icon that matches the AI Task Manager theme and add it to the splash screen. Now, it is generating the logo and adding it to the application.

As you can see, the new logo has been added…

As you can see, the new logo has been added successfully to the app icon and splash screen. The next feature I will add is biometric fingerprint login. I will tell Google AI Studio to add biometric authentication to the app. After adding this feature, users will have another option to access the dashboard using their fingerprint instead of typing their password every time.

Now, the biometric fingerprint feature has been added. Users can now choose between using their email and password or fingerprint authentication to access the dashboard. The next feature I want to add is push notification. For this, I will use One Signal together with Firebase.

Push notifications allow us to send [music] messages directly to users who have installed the application. For example, we can send updates, announcements, or important alerts. Now, I will tell Google AI Studio. I want to add push notifications using One Signal.

Google AI Studio will add the required dependencies and prepare the notification system. After that, it asked me to add the One Signal app ID. So, I will open a new browser tab. Search for One Signal and open the official website.

Create an account or log in if you…

Create an account or log in if you already have one. After logging in, click new app. Enter your app name, organization name, and website if you have one. If you don’t have a website, you can skip it.

Now, select Google Android FCM and continue. Before continuing, we need to connect OneSignal with Firebase. Go back to the Firebase tab. Open your project settings.

Click the gear icon next to your project name. Go to cloud messaging. Make sure Firebase cloud messaging is enabled. Scroll down and generate a new private key.

Now scroll up to the cloud messaging API section. Find the cloud messaging API legacy option, click the three dots, and select manage API in Google Cloud Console. Once the Google Cloud Console opens, click enable APIs and services. In the search bar, type Firebase cloud messaging.

When it appears, select it. On the next page, click enable to activate the API. Now go back and open the service account section. Scroll down and click generate new private key.

When the pop-up appears, click generate key

When the pop-up appears, click generate key. Firebase will automatically download the JSON key file to your computer. Now go back to the OneSignal tab. Open your downloads folder.

Find the JSON file we just downloaded from Firebase, select it, and upload it. After uploading, click save and continue. Select Android and continue again. Now, OneSignal will create the configuration.

Copy your OneSignal app ID. Go back to Google AI Studio. Paste the OneSignal app ID and click apply. Google AI Studio will now complete the push notification integration.

After finishing, go back to OneSignal and click done. Now, our application can receive push notifications. To send a notification, open the OneSignal dashboard. Select a notification type.

You can use a ready-made template or create…

You can use a ready-made template or create your own message. Enter the notification title and content. Then click review and send. Now, every device that has our app installed can receive the notification.

The application is almost complete. Now, I will install it on my real Android phone. First, connect your phone to your PC using a USB cable. Before installing, we need to enable developer options.

Open your phone settings. Go to about phone. Find build number or [music] MIUI version, uh if you were using a Xiaomi device. Tap it several times until developer options are enabled.

Now, go back to settings. Search for developer options. Scroll down and enable USB debugging. Also enable install via USB if your device has this option.

Now connect your phone to the PC. Android Studio should detect your device. Click the run button. The application will now install on your phone.

As you can see the app is successfully installed

As you can see the app is successfully installed. We can open it and test all features directly on a real device. We have successfully created a complete AI-powered Android application using Google AI Studio. [music] We built authentication, dashboard features, Firebase integration, biometric login, push notifications, and a modern user interface.

This shows how powerful AI tools have become…

This shows how powerful AI tools have become for developers. They can help speed up development, generate code, and turn ideas into real applications. But remember, understanding Android Studio and coding concepts is still important because you need to review and improve the generated project. I will put the useful resources and prompts in the description so you can follow this tutorial. If helped you, make sure to like, to All PC Geek, and turn on notifications for more Android, AI, and technology tutorials.

As you can see the app…

As you can see the app is successfully installed. We can open it and test all features directly on a real device. We have successfully created a complete AI-powered Android application using Google AI Studio. [music] We built authentication, dashboard features, Firebase integration, biometric login, push notifications, and a modern user interface.

This shows how powerful AI tools have become for developers. They can help speed up development, generate code, and turn ideas into real applications. But remember, understanding Android Studio and coding concepts is still important because you need to review and improve the generated project. I will put the useful resources and prompts in the description so you can follow this tutorial. If helped you, make sure to like, to All PC Geek, and turn on notifications for more Android, AI, and technology tutorials.