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Build AI Super App in Android with Gemini & ImageGen

Name: Build AI Super App in Android with Gemini & ImageGen
Rating: 4.5 (2 reviews)

Create Real-Time AI Assistants & Chatbots in Android with Gemini – Voice, Chat, Image & Context-Aware Features

Created byMobile ML Academy by Hamza Asif

Last updated 8/2025

English

English [Auto],

What you'll learn

Build intelligent chatbots and AI assistants using Google Gemini in Android.
Design visually appealing and intuitive chat interfaces with Android Studio.
Integrate text-based queries and responses powered by Gemini’s advanced NLP
Enable image-based questions for enhanced, context-aware AI responses
Implement real-time responses using dynamic streaming
Develop contextually aware conversations with extended chat capabilities
Add voice features like speech-to-text and text-to-speech for interactive apps

Course content

7 sections • 31 lectures • 3h 12m total length

Setting Up a New Android Studio Project8:47
Set up a Kotlin-based Android Studio project, design a minimal constraint layout with an edit text and a send image button, and pass queries to Gemini while displaying responses.
Exploring Google AI Studio4:36
Loading Gemini Models in Android Kotlin Application5:39
Learn to load Gemini 1.5 models in an Android Kotlin app by adding the Gemini library, configuring the API key, and initializing the model to pass input and get output.
Passing Input to Gemini in Android Kotlin and Getting Results7:31
Pass inputs to Google Gemini from Android Kotlin, load the model, send a prompt, and display the response using a suspend function with lifecycle scope.

Working on EditText and Send button in Android Kotlin App9:31
Enhance the Android Kotlin app UI by wrapping the edit text and send button in card views and styling a circular green send button with a forward icon.
Minor GUI improvements in Android Kotlin App3:41
Initialize the CardView containing the send button in the main activity, attach an on click listener, and clear the search field after sending a question to Google Gemini.
Setting Up Chat UI in Android Kotlin App6:05
Set up a chat UI in the Android Kotlin app using the chat kit library to display Gemini questions and answers as chat bubbles, with Gradle dependencies and repository configuration.
Display Messages as Chat Bubbles in Android Kotlin App19:53
Display messages as chat bubbles in an android kotlin app using the messages list widget, message and user classes, and an adapter to manage conversations.
Showing Gemini Response as Chat Bubble in Android Kotlin2:35
Display Gemini responses as chat bubbles in an Android Kotlin app by creating a second message object, labeling it M2, and rendering Gemini's text in the message list.

Building GUI for Image Picker in Android Kotlin7:25
Learn to build an image picker GUI in android kotlin, integrate google gemini's image features, enable image upload, and query gemini to explain or extract insights from the image.
Choosing Images in Android Kotlin Application4:52
Learn to integrate a photo picker in an Android Kotlin app by registering for activity results, selecting images from the gallery, and displaying the chosen image in chat.
Adding Image Loader to Load Images as Message Bubbles9:17
Add image message support in the ChatGPT library by implementing the image content type and get image URL, then configure an image loader to display image messages in chat bubbles.
Setting up Text and Image Input Feature of Google Gemini in Android7:05
Integrate Google Gemini in Android by sending text and image inputs, initialize the generative model, convert image URIs to bitmaps, build input content, and query Gemini with a question.
Passing Text and Images to Gemini and Getting the Result in Android Kotlin8:17
Develop and test an Android Kotlin workflow to pass text and an image URI through image decoder to Gemini, handling API level constraints and updating the chat UI.

Adding Speech to Text in Android Kotlin9:08
Enhance the Android Kotlin app with text to speech by initializing a text to speech engine, implementing the onInit listener, and speaking Gemini's text responses.
GUI setup for enable and disable TTS9:07
Learn to add an app bar icon to enable or disable text-to-speech in your Android app. Toggle playback with a click and stop long Gemini responses.
Enable and Disable Text to Speech in Android Kotlin6:15
Enable and disable text to speech in Android by toggling a DTS enabled flag on menu item click and calling the text to speak method accordingly.
Stop TTS in Middle in Android Kotlin App2:55
Enable and disable text-to-speech in an Android Kotlin app, stop a long Gemini response mid-speech, and ensure speech only plays when TTS is available and enabled.
Exploring TTS Further in Android Kotlin1:56
Explore how to extend text to speech in Android Kotlin by inspecting the official docs, retrieving available languages and voices, and applying a selected voice in your app.

Setting up GUI for Speech Recognition inside Gemini Android Kotlin App5:22
Add a speech recognizer in the Gemini android kotlin app by placing a mic button left of the send button to pass voice questions to Gemini.
Performing Speech Recognition in Android Kotlin Application8:22
Connect the mic icon to a start recognition function using a recognizer intent with language, language model, and prompt, then start for result and pass text to Gemini.
Getting Speech Recognition Results and Showing it on Screen7:37
Capture user speech via Android's speech recognition, display the recognized text on screen, and send it to Gemini to show the model's response.
Passing Voice Commands to Google Gemini in Android Kotlin App2:33
Enable voice input to pass spoken questions to Google Gemini in an Android Kotlin app, display the recognized text as a send message, and reveal Gemini's response.
Speech Recognition Android Overview2:18
Review Android speech recognition setup with a mic button, a recognize speech intent, default language, free-form model, and prompt, then handle onActivityResult to feed Gemini and display the response.

Chat Feature Introduction4:25
Learn to use the chat feature in Google Gemini to enable multi-turn conversations with context from prior messages by starting a chat and passing history of messages.
Using Chat Feature in Android Kotlin App5:19
Implement a chat feature in an Android Kotlin app by initializing a chat object, loading a generative model, and using chat send message for text input with Google Gemini.

Implement Streaming in Android Kotlin App7:21
Learn to implement streaming in an android kotlin app with google gemini to display partial responses in real time, updating a single message as each part arrives.
Removing Duplications for Streaming in Android4:58
Replace repeated messages with a single updating message to simulate real-time streaming, initializing the message once and updating its content for subsequent parts using a stream-driven approach.
Using Streams with Chat in Android4:18
Implement streams for the chat feature in android using Google Gemini, switching to send message stream to receive response chunks and display them progressively, alongside text-only input streaming.
Chat Feature Introduction4:25
Learn to implement the Gemini chat feature for multi-turn conversations by starting a chat with optional history, sending messages, and letting the model consider previous context.
Use Streams with Text Only Input Feature in Android1:24
Use streams with text-only input feature in Android by applying a generative model and generate content stream function, then install the app, type a question, and view Gemini's streaming response.

Requirements

Some basic knowledge of App development in Android is recommended

Description

Ready to bring your Android apps to life with AI that listens, responds, and understands in real time?

In this hands-on course, you'll learn to build intelligent, real-time AI assistants using Google Gemin, and Kotlin. Go beyond simple bots—create Android apps that hold conversations, respond to voice commands, process images, and deliver a fast, seamless user experience.

Why Learn From This Course?

Taught by Muhammad Hamza Asif, an experienced mobile ML instructor with over 60,000+ Udemy students, this course gives you practical, project-based learning. You’ll integrate powerful GenAI models into your Android apps to deliver engaging, context-aware, voice-enabled assistants that feel truly intelligent.

What You'll Learn

Build Real-Time AI Chat Interfaces
Use LiveData and Kotlin coroutines to stream Gemini responses as users type or speak.

Integrate Google Gemini APIs
Harness powerful large language models to generate intelligent, context-aware conversations.

Enable Voice Input & Output
Add speech-to-text and text-to-speech features so users can talk to your app and hear responses.

Create Multi-Modal AI Assistants
Process image-based queries with Gemini’s vision capabilities to answer visual questions.

Build Context-Aware Conversations
Maintain stateful chats that evolve and adapt to the user’s needs with memory and conversation history.

Design Stunning, Responsive UIs
Craft sleek, user-friendly chat interfaces in Android Studio with real-time response streaming.

Real-World Use Cases You'll Master

AI-powered customer support
Voice assistants for productivity apps
Interactive educational tutors
Smart e-commerce helpers
Visual query assistants (send a photo, get info)

By the End of This Course, You’ll Be Able To:

Build and deploy fully functional AI assistants on Android
Handle real-time communication with generative AI APIs
Implement natural, engaging voice and chat experiences
Use image input to create multi-modal interactions
Future-proof your development skills with in-demand GenAI features

Who Should Take This Course?

Android developers looking to build smart, real-time AI features
Kotlin developers eager to integrate generative AI
Innovators building next-gen apps with Gemini
Anyone ready to create apps that talk, listen, and understand

The Future of Android is Intelligent

AI is no longer a nice-to-have — it’s the new standard. This course gives you everything you need to stay ahead, build smarter apps, and lead the next wave of AI-powered Android experiences.

Let’s build something amazing. Enroll now and create real-time AI assistants with Android + GenAI!

Who this course is for:

Students and Beginners with a basic understanding of Kotlin and Android, ready to explore the world of AI integration.
Android Developers eager to integrate cutting-edge AI technologies like Google Gemini into their apps
Professionals in Customer Support, E-commerce, or Education wanting to develop custom AI assistants tailored to their industry needs.
Mobile App Creators aiming to design innovative, AI-powered user experiences.
AI Enthusiasts interested in building intelligent chatbots and assistants for diverse use cases.
Tech Innovators passionate about creating next-gen apps with advanced conversational and image-based AI capabilities.

Build AI Super App in Android with Gemini & ImageGen

What you'll learn

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Course content

Introduction4 lectures • 27min

Gemini Clone: Build GUI5 lectures • 42min

AI & Images5 lectures • 37min

Text To Speech: Hear Response of Google Gemini5 lectures • 29min

Speech Recognition With Google Gemini in Android5 lectures • 26min

Chat Feature of Google Gemini in Android Kotlin App2 lectures • 10min

Using Streams in Android Kotlin App5 lectures • 22min

Requirements

Description

Who this course is for: