Build Ai Chatbots & Assistants In Android With Google Gemini

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Build Ai Chatbots & Assistants In Android With Google Gemini
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.89 GB | Duration: 3h 13m

Unlock the Power of Google Gemini to Build Next-Gen Chatbots, Assistants, and Interactive Android Apps

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

Requirements

Some basic knowledge of App development in Android is recommended

Description

Are you ready to revolutionize Android app development by building intelligent chatbots and AI assistants?This course is your gateway to mastering Google's cutting-edge Gemini models and creating smart, feature-rich Android applications. Whether you're looking to design engaging chat interfaces or develop assistants capable of real-time, context-aware interactions, this course will equip you with the skills to bring your vision to life using Kotlin.Why Choose This Course?Join Muhammad Hamza Asif, a highly experienced mobile machine learning instructor with over 6 years of expertise and a growing community of 60,000+ students on Udemy. Guided by his practical insights, you'll learn how to transform Gemini's advanced AI capabilities into responsive, user-friendly chatbots and assistants.What You'll Learnesign Intuitive Chat InterfacesBuild sleek, user-friendly chat UIs in Android Studio to provide a seamless experience for your users.Create Smart Text-Based ChatbotsEnable text-based conversations by integrating Gemini's powerful natural language processing (NLP) capabilities to answer user queries with precision.Develop Multi-Modal AssistantsAdd image-based queries to your chatbots, empowering users to ask questions with images and receive comprehensive responses.Real-Time Conversational FlowUse LiveData and streams to make your AI assistant more dynamic, displaying real-time responses as they're generated.Extend Conversations ContextuallyLeverage Gemini's chat capabilities to enable context-aware, continuous conversations, mimicking human-like interaction.Voice-Enabled InteractionsAdd speech-to-text and text-to-speech features to make your chatbot accessible and interactive, allowing users to talk and listen to your app.What You'll Achieve:Build AI-Powered Chatbots: Design assistants that can handle diverse use cases, from customer support to productivity tools.Master AI Integration: Confidently implement Google Gemini models in Android apps for smart, multi-functional interactions.Enhance User Experience: Combine advanced AI capabilities with stunning UIs and voice-enabled features for a truly immersive experience.Create Versatile Applications: Build AI assistants that adapt to various industries, such as e-commerce, healthcare, education, and more.Why Learn This Now?The future of Android development lies in intelligent apps powered by AI. By mastering chatbot and assistant creation, you'll gain a competitive edge and unlock endless possibilities for innovation.Who Should Enroll?Android developers eager to build AI chatbots and assistants.Kotlin enthusiasts ready to explore the potential of AI in app development.Innovators passionate about creating smarter, more engaging user experiences.Don't wait to bring your ideas to life! Learn how to build intelligent chatbots and AI assistants that redefine what's possible in mobile apps. Enroll now and take the first step toward mastering Google Gemini in Android!

Overview

Section 1: Introduction

Lecture 1 Setting Up a New Android Studio Project

Lecture 2 Exploring Google AI Studio

Lecture 3 Loading Gemini Models in Android Kotlin Application

Lecture 4 Passing Input to Gemini in Android Kotlin and Getting Results

Section 2: Gemini Clone: Build GUI

Lecture 5 Working on EditText and Send button in Android Kotlin App

Lecture 6 Minor GUI improvements in Android Kotlin App

Lecture 7 Setting Up Chat UI in Android Kotlin App

Lecture 8 Display Messages as Chat Bubbles in Android Kotlin App

Lecture 9 Showing Gemini Response as Chat Bubble in Android Kotlin

Section 3: AI & Images

Lecture 10 Building GUI for Image Picker in Android Kotlin

Lecture 11 Choosing Images in Android Kotlin Application

Lecture 12 Adding Image Loader to Load Images as Message Bubbles

Lecture 13 Setting up Text and Image Input Feature of Google Gemini in Android

Lecture 14 Passing Text and Images to Gemini and Getting the Result in Android Kotlin

Section 4: Text To Speech: Hear Response of Google Gemini

Lecture 15 Adding Speech to Text in Android Kotlin

Lecture 16 GUI setup for enable and disable TTS

Lecture 17 Enable and Disable Text to Speech in Android Kotlin

Lecture 18 Stop TTS in Middle in Android Kotlin App

Lecture 19 Exploring TTS Further in Android Kotlin

Section 5: Speech Recognition With Google Gemini in Android

Lecture 20 Setting up GUI for Speech Recognition inside Gemini Android Kotlin App

Lecture 21 Performing Speech Recognition in Android Kotlin Application

Lecture 22 Getting Speech Recognition Results and Showing it on Screen

Lecture 23 Passing Voice Commands to Google Gemini in Android Kotlin App

Lecture 24 Speech Recognition Android Overview

Section 6: Chat Feature of Google Gemini in Android Kotlin App

Lecture 25 Chat Feature Introduction

Lecture 26 Using Chat Feature in Android Kotlin App

Section 7: Using Streams in Android Kotlin App

Lecture 27 Implement Streaming in Android Kotlin App

Lecture 28 Removing Duplications for Streaming in Android

Lecture 29 Using Streams with Chat in Android

Lecture 30 Chat Feature Introduction

Lecture 31 Use Streams with Text Only Input Feature in Android

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.

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