codesanitize

Beneath the hood

The app combines quite a lot of completely different Google applied sciences, resembling:

• Gemini API – by means of Firebase AI Logic SDK, for accessing the underlying Imagen and Gemini fashions.
• Jetpack Compose – for constructing the UI with pleasant animations and making the app adapt to completely different display sizes.
• Navigation 3 – the newest navigation library for increase Navigation graphs with Compose.
• CameraX Compose and Media3 Compose – for increase a customized digital camera with customized UI controls (rear digital camera assist, zoom assist, tap-to-focus) and taking part in the promotional video.

This pattern app is at present utilizing a normal Imagen mannequin, however we have been engaged on a fine-tuned mannequin that is skilled particularly on the entire items that make the Android bot cute and enjoyable; we’ll share that model later this 12 months. Within the meantime, do not be shocked if the pattern app places out some attention-grabbing trying examples!

How does the Androidify app work?

The app leverages our greatest practices for Structure, Testing, and UI to showcase an actual world, trendy AI utility on machine.

AI in Androidify with Gemini and ML Package

The Androidify app makes use of the Gemini fashions in a mess of how to complement the app expertise, all powered by the Firebase AI Logic SDK. The app makes use of Gemini 2.5 Flash and Imagen 3 below the hood:

• Picture validation: We be certain that the captured picture incorporates adequate info, resembling a clearly centered particular person, and assessing for security. This characteristic makes use of the multi-modal capabilities of Gemini API, by giving it a immediate and picture on the identical time:

val response = generativeModel.generateContent(
   content material {
       textual content(immediate)
       picture(picture)
   },
)

• Textual content immediate validation: If the consumer opts for textual content enter as an alternative of picture, we use Gemini 2.5 Flash to make sure the textual content incorporates a sufficiently descriptive immediate to generate a bot.
• Picture captioning: As soon as we’re certain the picture has sufficient info, we use Gemini 2.5 Flash to carry out picture captioning., We ask Gemini to be as descriptive as doable,specializing in the clothes and its colours.
• “Assist me write” characteristic: Much like an “I’m feeling fortunate” sort characteristic, “Assist me write” makes use of Gemini 2.5 Flash to create a random description of the clothes and coiffure of a bot.
• Picture technology from the generated immediate: As the ultimate step, Imagen generates the picture, offering the immediate and the chosen pores and skin tone of the bot.

The app additionally makes use of the ML Package pose detection to detect an individual within the viewfinder and allow the seize button when an individual is detected, in addition to including enjoyable indicators across the content material to point detection.

Discover extra detailed details about AI utilization in Androidify.

Jetpack Compose

The consumer interface of Androidify is constructed utilizing Jetpack Compose, the trendy UI toolkit that simplifies and accelerates UI improvement on Android.

Pleasant particulars with the UI

The app makes use of Materials 3 Expressive, the newest alpha launch that makes your apps extra premium, fascinating, and fascinating. It gives pleasant bits of UI out-of-the-box, like new shapes, componentry, and utilizing the MotionScheme variables wherever a movement spec is required.

MaterialShapes are utilized in numerous areas. These are a preset record of shapes that permit for straightforward morphing between one another—for instance, the lovable cookie form for the digital camera seize button:

Past utilizing the usual Materials parts, Androidify additionally options customized composables and pleasant transitions tailor-made to the precise wants of the app:

• There are many shared ingredient transitions throughout the app—for instance, a morphing form shared ingredient transition is carried out between the “take a photograph” button and the digital camera floor.


• Customized enter transitions for the ResultsScreen with the utilization of marquee modifiers.


• Enjoyable coloration splash animation as a transition between screens.


• Animating gradient buttons for the AI-powered actions.

To be taught extra concerning the distinctive particulars of the UI, learn Androidify: Constructing pleasant UIs with Compose

Adapting to completely different gadgets

Androidify is designed to look nice and performance seamlessly throughout sweet bar telephones, foldables, and tablets. The final purpose of creating adaptive apps is to keep away from reimplementing the identical app a number of instances on every kind issue by extracting out reusable composables, and leveraging APIs like WindowSizeClass to find out what sort of structure to show.

For Androidify, we solely wanted to leverage the width window dimension class. Combining this with completely different structure mechanisms, we had been capable of reuse or prolong the composables to cater to the multitude of various machine sizes and capabilities.

• Responsive layouts: The CreationScreen demonstrates adaptive design. It makes use of helper capabilities like isAtLeastMedium() to detect window dimension classes and alter its structure accordingly. On bigger home windows, the picture/immediate space and coloration picker may sit side-by-side in a Row, whereas on smaller home windows, the colour picker is accessed by way of a ModalBottomSheet. This sample, referred to as “supporting pane”, highlights the supporting dependencies between the primary content material and the colour picker.
• Foldable assist: The app actively checks for foldable machine options. The digital camera display makes use of WindowInfoTracker to get FoldingFeature info to adapt to completely different options by optimizing the structure for tabletop posture.
• Rear show: Help for gadgets with a number of shows is included by way of the RearCameraUseCase, permitting for the machine digital camera preview to be proven on the exterior display when the machine is unfolded (so the primary content material is often displayed on the interior display).

Utilizing window dimension lessons, coupled with making a customized @LargeScreensPreview annotation, helps obtain distinctive and helpful UIs throughout the spectrum of machine sizes and window sizes.

CameraX and Media3 Compose

To permit customers to base their bots on photographs, Androidify integrates CameraX, the Jetpack library that makes digital camera app improvement simpler.

The app makes use of a customized CameraLayout composable that helps the structure of the standard composables {that a} digital camera preview display would come with— for instance, zoom buttons, a seize button, and a flip digital camera button. This structure adapts to completely different machine sizes and extra superior use circumstances, just like the tabletop mode and rear-camera show. For the precise rendering of the digital camera preview, it makes use of the brand new CameraXViewfinder that’s a part of the camerax-compose artifact.

The app additionally integrates with Media3 APIs to load an educational video for displaying the way to get the most effective bot from a immediate or picture. Utilizing the brand new media3-ui-compose artifact, we are able to simply add a VideoPlayer into the app:

@Composable
personal enjoyable VideoPlayer(modifier: Modifier = Modifier) {
    val context = LocalContext.present
    var participant by bear in mind { mutableStateOf(null) }
    LifecycleStartEffect(Unit) {
        participant = ExoPlayer.Builder(context).construct().apply {
            setMediaItem(MediaItem.fromUri(Constants.PROMO_VIDEO))
            repeatMode = Participant.REPEAT_MODE_ONE
            put together()
        }
        onStopOrDispose {
            participant?.launch()
            participant = null
        }
    }
    Field(
        modifier
            .background(MaterialTheme.colorScheme.surfaceContainerLowest),
    ) {
        participant?.let { currentPlayer ->
            PlayerSurface(currentPlayer, surfaceType = SURFACE_TYPE_TEXTURE_VIEW)
        }
    }
}

Utilizing the brand new onLayoutRectChanged modifier, we additionally pay attention for whether or not the composable is totally seen or not, and play or pause the video based mostly on this info:

var videoFullyOnScreen by bear in mind { mutableStateOf(false) }     

LaunchedEffect(videoFullyOnScreen) {
     if (videoFullyOnScreen) currentPlayer.play() else currentPlayer.pause()
} 

// We add this onto the participant composable to find out if the video composable is seen, and mutate the videoFullyOnScreen variable, that then toggles the participant state. 
Modifier.onVisibilityChanged(
                containerWidth = LocalView.present.width,
                containerHeight = LocalView.present.peak,
) { fullyVisible -> videoFullyOnScreen = fullyVisible }

// A easy model of visibility modified detection
enjoyable Modifier.onVisibilityChanged(
    containerWidth: Int,
    containerHeight: Int,
    onChanged: (seen: Boolean) -> Unit,
) = this then Modifier.onLayoutRectChanged(100, 0) { layoutBounds ->
    onChanged(
        layoutBounds.boundsInRoot.high > 0 &&
            layoutBounds.boundsInRoot.backside < containerHeight &&
            layoutBounds.boundsInRoot.left > 0 &&
            layoutBounds.boundsInRoot.proper < containerWidth,
    )
}

Moreover, utilizing rememberPlayPauseButtonState, we add on a layer on high of the participant to supply a play/pause button on the video itself:

val playPauseButtonState = rememberPlayPauseButtonState(currentPlayer)
            OutlinedIconButton(
                onClick = playPauseButtonState::onClick,
                enabled = playPauseButtonState.isEnabled,
            ) {
                val icon =
                    if (playPauseButtonState.showPlay) R.drawable.play else R.drawable.pause
                val contentDescription =
                    if (playPauseButtonState.showPlay) R.string.play else R.string.pause
                Icon(
                    painterResource(icon),
                    stringResource(contentDescription),
                )
            }

Take a look at the code for extra particulars on how CameraX and Media3 had been utilized in Androidify.

Navigation 3

Display transitions are dealt with utilizing the brand new Jetpack Navigation 3 library androidx.navigation3. The MainNavigation composable defines the completely different locations (House, Digicam, Creation, About) and shows the content material related to every vacation spot utilizing NavDisplay. You get full management over your again stack, and navigating to and from locations is so simple as including and eradicating gadgets from a listing.

@Composable
enjoyable MainNavigation() {
   val backStack = rememberMutableStateListOf(House)
   NavDisplay(
       backStack = backStack,
       onBack = { backStack.removeLastOrNull() },
       entryProvider = entryProvider {
           entry { entry ->
               HomeScreen(
                   onAboutClicked = {
                       backStack.add(About)
                   },
               )
           }
           entry {
               CameraPreviewScreen(
                   onImageCaptured = { uri ->
                       backStack.add(Create(uri.toString()))
                   },
               )
           }
           // and so on
       },
   )
}

Notably, Navigation 3 exposes a brand new composition native, LocalNavAnimatedContentScope, to simply combine your shared ingredient transitions while not having to maintain observe of the scope your self. By default, Navigation 3 additionally integrates with predictive again, offering pleasant again experiences when navigating between screens, as seen on this prior shared ingredient transition:

Be taught extra about Jetpack Navigation 3, at present in alpha.

Be taught extra

By combining the declarative energy of Jetpack Compose, the digital camera capabilities of CameraX, the clever options of Gemini, and considerate adaptive design, Androidify is a personalised avatar creation expertise that feels proper at house on any Android machine. You’ll find the total code pattern at github.com/android/androidify the place you’ll be able to see the app in motion and be impressed to construct your personal AI-powered app experiences.

Discover this announcement and all Google I/O 2025 updates on io.google beginning Could 22.

Posted by Ben Trengrove – Developer Relations Engineer, Matt Dyor – Product Supervisor

Google I/O and KotlinConf 2025 carry a sequence of bulletins on Android’s Kotlin and Kotlin Multiplatform efforts. Right here’s what to be careful for:

Bulletins from Google I/O 2025

Jetpack libraries

Our focus for Jetpack libraries and KMP is on sharing enterprise logic throughout Android and iOS, however we now have begun experimenting with net/WASM help.

We’re including KMP help to Jetpack libraries. Final 12 months we began with Room, DataStore and Assortment, which are actually out there in a secure launch and not too long ago we now have added ViewModel, SavedState and Paging. The degrees of help that our Jetpack libraries assure for every platform have been categorised into three tiers, with the highest tier being for Android, iOS and JVM.

Device enhancements

We’re creating new instruments to assist simply begin utilizing KMP in your app. With the KMP new module template in Android Studio Meerkat, you’ll be able to add a brand new module to an current app and share code to iOS and different supported KMP platforms.

Along with KMP enhancements, Android Studio now helps Kotlin K2 mode for Android particular options requiring language help equivalent to Dwell Edit, Compose Preview and plenty of extra.

How Google is utilizing KMP

Final 12 months, Google Workspace started experimenting with KMP, and that is now operating in manufacturing within the Google Docs app on iOS. The app’s runtime efficiency is on par or higher than earlier than¹.

It’s been useful to have an app at this scale take a look at KMP out, as a result of we’re in a position to determine points and repair points that profit the KMP developer group.

For instance, we have upgraded the Kotlin Native compiler to LLVM 16 and contributed a extra environment friendly rubbish collector and string implementation. We’re additionally bringing the static evaluation energy of Android Lint to Kotlin targets and making certain a unified Gradle DSL for each AGP and KGP to enhance the plugin administration expertise.

New steering

We’re offering complete steering within the type of two new codelabs: Getting began with Kotlin Multiplatform and Migrating your Room database to KMP, that can assist you get from standalone Android and iOS apps to shared enterprise logic.

Kotlin Enhancements

Kotlin Image Processing (KSP2) is secure to higher help new Kotlin language options and ship higher efficiency. It’s simpler to combine with construct techniques, is thread-safe, and has higher help for debugging annotation processors. In distinction to KSP1, KSP2 has significantly better compatibility throughout totally different Kotlin variations. The rewritten command line interface additionally turns into considerably simpler to make use of as it’s now a standalone program as a substitute of a compiler plugin.

KotlinConf 2025

Google staff members are presenting numerous talks at KotlinConf spanning a number of matters:

Talks

• Deploying KMP at Google Workspace by Jason Parachoniak, Troels Lund, and Johan Bay from the Workspace staff discusses the challenges and options, together with bugs and efficiency optimizations, encountered when launching Kotlin Multiplatform at Google Workspace, providing comparisons to ObjectiveC and a Q&A. (Technical Session)
• The Life and Dying of a Kotlin/Native Object by Troels Lund provides a high-level clarification of the Kotlin/Native runtime’s interior workings regarding object instantiation, reminiscence administration, and disposal. (Technical Session)
• APIs: How Laborious Can They Be? introduced by Aurimas Liutikas and Alan Viverette from the Jetpack staff delves into the lifecycle of API design, evaluate processes, and evolution inside AndroidX libraries, notably contemplating KMP and associated instruments. (Technical Session)
• Venture Sparkles: How Compose for Desktop is altering Android Studio and IntelliJ with Chris Sinco and Sebastiano Poggi from the Android Studio staff introduces the initiative (‘Venture Sparkles’) aiming to modernize Android Studio and IntelliJ UIs utilizing Compose for Desktop, masking targets, examples, and collaborations. (Technical Session)
• JSpecify: Java Nullness Annotations and Kotlin introduced by David Baker explains the importance and workings of JSpecify’s normal Java nullness annotations for enhancing Kotlin’s interoperability with Java libraries. (Lightning Session)
• Classes realized decoupling Structure Elements from platform particular code options Jeremy Woods and Marcello Galhardo from the Jetpack staff sharing insights from the Android staff on decoupling core parts like SavedState and System Again from platform specifics to create widespread APIs. (Technical Session)
• KotlinConf’s Closing Panel, a daily staple of the convention, returns, that includes Jeffrey van Gogh as Google’s consultant on the panel. (Panel)

Dwell Workshops

If you’re at KotlinConf in individual, we can have guided dwell workshops with our new codelabs from above.

• The codelab Migrating Room to Room KMP, additionally led by Matt Dyor, and Dustin Lam, Tomáš Mlynarič, demonstrates the method of migrating an current Room database implementation to Room KMP inside a shared module.

We love participating with the Kotlin group. If you’re attending KotlinConf, we hope you get an opportunity to take a look at our sales space, with alternatives to speak with our engineers, get your questions answered, and be taught extra about how one can leverage Kotlin and KMP.

Be taught extra about Kotlin Multiplatform

To be taught extra about KMP and begin sharing your small business logic throughout platforms, try our documentation and the pattern.

Discover this announcement and all Google I/O 2025 updates on io.google beginning Might 22.

¹ Google Inner Information, March 2025