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Artículo: AMZ-B0G4QR1JPD
AI-Powered Mobile Apps with Kotlin and Android: Build Practical Image, Text, and Voice Features Using TensorFlow Lite, ML Kit, and Cloud AI
Format:
Kindle
Detalles del producto
Disponibilidad
Sin stock
Sin stock
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0.20 kg
0.20 kg
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Nuevo
Nuevo
Producto de
Amazon
Amazon
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USA
USA
Sobre este producto
- AI-Powered Mobile Apps with Kotlin and Android Build Practical Image, Text, and Voice Features Using TensorFlow Lite, ML Kit, and Cloud AI What if your Android apps could analyze images instantly, understand user speech, process text intelligently, and adapt to each user, all while running smoothly on real devices? As AI becomes a standard expectation in mobile experiences, developers face a major challenge: delivering intelligent features that remain fast, private, and reliable across a wide range of hardware. AI-Powered Mobile Apps with Kotlin and Android provides a clear, production-focused path forward. This book shows you how to combine TensorFlow Lite, ML Kit, and cloud AI models to build features that balance accuracy, speed, and user trust. You learn practical methods used in professional Android development to integrate on-device machine learning, call cloud-based text intelligence only when necessary, and design app flows that behave consistently even when AI returns uncertain results. Every chapter centers on real implementation: image classification, OCR, text assistance, voice-driven features, and personalization. Clear Kotlin examples, step-by-step explanations, and real-device guidance help you translate theory into usable, maintainable applications. By reading this book, you will learn how to: • Build image classification and vision features using TensorFlow Lite • Implement fast OCR, barcode scanning, and translation using ML Kit • Add cloud-powered text generation and summarization with safe request handling • Create natural voice input and voice output flows using Android speech APIs • Apply personalization strategies using local user data and lightweight on-device models • Improve runtime performance with quantization, delegates, and latency testing • Deploy and update models safely through Play Asset Delivery and Remote Config • Design AI-friendly UI patterns that communicate confidence, handle edge cases, and protect user privacy If you want to create mobile apps that feel intelligent, responsive, and polished, without depending entirely on remote servers, this book gives you the roadmap and the working patterns to achieve it. Start building next-generation Android apps powered by practical, production-ready AI.
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