Название: Mastering AI App Development with MERN Stack: Step into the Future of App Development by Building Intelligent AI-Powered Applications with MERN Stack and TensorFlow.js for Seamless User ExperiencesАвтор: Anik Acharjee
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 436
Язык: английский
Формат: epub
Размер: 56.2 MB
Transform Your Web App Development Journey with MERN and AI.
With AI applications driving a projected $15.7 trillion boost to the global economy by 2030, combining AI with the popular MERN stack has become a game-changer for developers and businesses alike. Mastering AI App Development with MERN Stack is a hands-on guide designed for developers ready to bring AI capabilities to their MERN applications, covering everything from foundational machine learning to advanced, real-world solutions.
Starting with the essentials of setting up a MERN development environment, the book guides readers through machine learning basics in jаvascript, enabling AI integration with Node.js and TensorFlow.js. Each chapter provides practical insights into building intelligent interfaces with React, effective data handling with MongoDB, and AI middleware using Express.js.
Readers will learn to create features like AI-powered chatbots, image and voice recognition, and personalized recommendation systems. Real-world scenarios and case studies demonstrate how AI can elevate MERN applications.
Chapter 1 lays the foundational concepts of AI, including its history, core principles, and its transformative impact on technology and society. Readers will explore the components of the MERN stack — MongoDB for database management, Express.js for server-side operations, React for dynamic user interfaces, and Node.js for scalable server-side scripting. The chapter emphasizes the importance of jаvascript as the unifying programming language across the MERN stack, enabling seamless integration and development.
Chapter 2 delves into the specifics of installing and setting up the core technologies that comprise the MERN stack: MongoDB for database management, Express.js for server-side logic, React for the front-end interface, and Node.js for the backend environment. It emphasizes the importance of jаvascript as the primary programming language that ties these technologies together, enabling seamless development across the stack.
Chapter 3 introduces the reader to the exciting world of Machine Learning, providing a solid foundation in the concepts of supervised and unsupervised learning, neural networks, and deep learning. It emphasizes the versatility of jаvascript as a language not just for web development but also for implementing complex AI algorithms. The chapter explores TensorFlow.js, a powerful library that brings machine learning to jаvascript, enabling the training and deployment of models directly in the browser or on Node.js.
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Chapter 15 includes different case studies. The first case study will explore a dynamic e-commerce platform that leverages AI for personalized product recommendations, using technologies such as MongoDB for data storage, Express.js for server-side logic, React for building a responsive UI, and Node.js for backend development. It will highlight the use of TensorFlow.js for developing the machine learning models that drive the recommendation engine.
Contents:
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