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Full Description
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.
Contents
Chapter 1: Introduction to .NET MAUI.- Chapter 2: Introduction to AI.- Chapter 3: Integrating AI Capabilities in .NET MAUI.- Chapter 4: Sentiment Analysis.- Chapter 5: AI-Powered Chatbots.- Chapter 6: AI-Based Image Descriptions (Azure Vision + OpenAI).- Chapter 7: OCR Scanner.- Chapter 8: Voice App with Speech Recognition (Azure AI Speech-to-Text).- Chapter 9: AI-Powered Translation (Azure Translator).- Chapter 10: AI-Powered Content Summarizer (OpenAI GPT).- Chapter 11: Letting Google Gemini Search into Your .NET MAUI App.- Chapter 12: Edge AI & Offline AI Models.- Chapter 13: Ethical Considerations with AI and AI Apps.- Chapter 14: Security Standards and AI.- Chapter 15: Deploying AI-Powered MAUI Apps.- Conclusion.
