AI-Enabled Apps with .NET MAUI: How to Build Cross-Platform .NET MAUI Apps with the Latest AI Capabilities

Table of Contents....5

About the Author....10

About the Technical Reviewer....11

Acknowledgments....12

Chapter 1: Introduction to .NET MAUI....13

Introduction....13

.NET....15

.NET MAUI....16

.NET MAUI Focus....17

Prepare Your Development Environment....20

Visual Studio Setup....21

Create Your .NET MAUI Application....22

Summary....24

Chapter 2: Introduction to AI....26

Introduction....26

AI Is Everywhere....27

AI Models....29

Overview of AI Services (Azure AI, Google AI, OpenAI)....30

Azure AI....31

Google AI....32

OpenAI....32

Summary....33

Chapter 3: Integrating AI Capabilities in .NET MAUI....34

Introduction....34

How to Call REST APIs in .NET MAUI....34

Understand How to Use AI APIs, Handle Authentication, and How to Handle Responses....39

How to Process AI-Generated Content....40

How to Integrate Azure AI....45

How to Integrate Google AI....57

How to Integrate OpenAI....60

Summary....64

Chapter 4: Sentiment Analysis....65

Introduction....65

Linguistics and Feelings....65

Azure AI Language Service....67

Create the Service....71

Use the Service in Your App....74

Our AI Assistant....81

Summary....81

Chapter 5: AI-Powered Chatbots....82

Introduction....82

Chatbots....82

Prompts....83

Integrate an Azure Chatbot....83

Integrate ChatGPT....88

Integrate Gemini Chatbot....105

Custom UI AI Chatbot....111

Improve UX and UI for Your Chatbot....115

Summary....116

Chapter 6: AI-Based Image Capabilities....117

Introduction....117

Inside an Image....117

Generate Image Description....118

Detect Object Inside Images....132

Your Photos, Your Power....141

Summary....143

Chapter 7: OCROptical Character Recognition....144

Introduction....144

Detect Handwritten Notes....145

Detect Text Inside a Picture....154

Summary....157

Chapter 8: Voice App with Speech Recognition....158

Introduction....158

Voice or Text?....158

Speech Recognition....159

From Text to Speech....173

Summary....177

Chapter 9: AI-Powered Translations....178

Introduction....178

Lost in Translation....178

How AI Translation Works....179

Azure AI Translation....180

Summary....194

Chapter 10: AI-Powered Content Summarizer....195

Introduction....195

Beyond ChatGPT....195

OpenAI Models....196

Content Summarizer....196

Integrate a Content Summarizer in a .NET MAUI Application....197

Summary....207

Chapter 11: Let Google Gemini Search into Your .NET MAUI App....208

Introduction....208

Google Search....208

Google Gemini....210

Retrieval-Augmented Generation....210

Add Gemini to a .NET MAUI App....213

Summary....226

Chapter 12: Edge AI and Offline AI Models....227

Introduction....227

Edge AI....227

Local AI Devices....228

Edge AI and .NET MAUI....229

Create Your AI Model....231

Summary....248

Chapter 13: Ethical Considerations with AI and AI Applications....249

Introduction....249

Ethics....249

Ethics and AI....250

UNESCO Ethical Compass....251

AI Regulations Around the World....253

Big Tech Companies and Responsible AI....254

AI Pope Act....255

Considerations....256

Summary....256

Chapter 14: Security Standards and AI....257

Introduction....257

API Calls....258

Secure Storage....262

Data Encryption....264

Authentication and Authorization....265

Input Validation....265

Check Your Logs....266

Check for Updates....266

Privacy and Compliance....267

Obfuscation....271

Dev-Friendly App Security Checklist....272

Summary....272

Chapter 15: Deploying AI-Powered .NET MAUI Apps....274

Introduction....274

Dont Forget to Test Your Application....274

AI-Specific Checks....276

Check Your App Accessibility....276

Check App Permissions....277

Get Your Assets Ready....279

Your Apps Metadata Is Who You Are....279

Get Your Certificates....280

Prepare Your Accounts and Packages....280

Conquer the World with Your App....282

Summary....282

Chapter 16: Conclusion....284

Index....287

Learn to build AI-powered cross-platform applications using .NET MAUI. Designed for developers of all levels, this book offers a structured, project-based approach to integrating artificial intelligence into modern applications that run on Android, iOS, Windows, and macOS from a single codebase.

As artificial intelligence continues to transform software development, understanding how to effectively integrate AI services into applications has become an essential skill. The growing demand for intelligent, data-driven applications makes this knowledge highly relevant for developers seeking to enhance user experiences, automate processes, and leverage AI capabilities in real-world scenarios. Simultaneously, .NET MAUI is emerging as the leading framework for cross-platform development in the .NET ecosystem, enabling developers to create powerful applications with a native experience across multiple devices. By the end of this book, developers will have gained the technical expertise and practical experience needed to integrate AI into their applications efficiently.

What You Will Learn

• Incorporate chatbots, speech recognition, image analysis, sentiment detection, and predictive analytics into your apps.
• Cover performance optimization, caching strategies, security considerations, and ethical AI implementation.
• Benefit from real-world code examples and deployment strategies, ensuring that readers can confidently build, scale, and maintain AI-powered applications.
• Integrate AI with your cross-platforms apps, exploring key services such as Azure AI, Google Gemini, and OpenAI.

Who This Book is For

Whether you are an experienced MAUI developer aiming to expand your skill set or someone new to AI-powered development, this book will equip you with the tools and knowledge to build smarter, more efficient applications in today’s rapidly evolving tech landscape.