If you can describe it, you can build it AI coding assistants are changing what makers and solopreneurs can build. Tasks that once demanded weeks of learning a new language, framework, or software stack can now be delegated to an AI—provided you know how to describe the job, judge the result, and keep control of the process. The Maker’s Guide to AI Coding is a practical guide to doing exactly that. It explains how to work with AI coding tools as collaborators rather than vending machines, how much to delegate, how to write specifications that produce useful results, and how to recognise hallucinations, context drift, overconfidence, and code that runs but is still wrong. The book is built around four increasingly ambitious projects. You begin with a browser-based RC filter analyser, then develop a live serial data plotter for Arduino and other microcontrollers. Next comes a datasheet questionand- answer tool using retrieval-augmented generation (RAG), followed by a complete multi-user resource booking system with authentication, a database, external services, background jobs, and deployment. No advanced programming background is required. The emphasis is on thinking clearly, guiding the AI, testing what it produces, and preserving the skills needed to evaluate its work. Along the way, you learn development workflow designed to remain useful as tools evolve. If you can describe what you want to build, this book shows you how to turn that description into working software.

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Build Smart Applications with Raspberry Pi, Arduino, and ESP32 Discover how easy and exciting mobile app development can be with MIT App Inventor. This hands-on guide takes you from basic concepts to building real-world mobile applications using a simple visual programming approach—no prior coding experience required. You will create IoT and AI-powered apps for Android devices and explore how App Inventor can also be used with iPhones and iPads. Connect your applications to platforms such as Arduino UNO R4 WiFi, ESP32, Raspberry Pi Pico (2)W and Raspberry Pi 5, enabling you to build smart, connected systems. Inside the book, you will learn how to: Build interactive apps using buttons, images, sound, and multimedia Create text-to-speech and speech-recognition applications Develop camera-based and location-aware (GPS) apps Design useful tools such as calculators and educational apps Work with smartphone sensors like accelerometers and light sensors Build AI-powered applications, including voice assistants and image-generation features Send and receive messages, and create communication-based apps Connect mobile apps to hardware using Wi-Fi and Bluetooth Control real devices such as LEDs, motors, and sensors Designed for beginners, students, and hobbyists, this book focuses on learning by doing. By the end, you will have the skills and confidence to create your own innovative applications that interact with both the digital and physical worlds. Start building and turning your ideas into reality.

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AI Projects for the Raspberry Pi with the AI HAT+ Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time—fast, private, and reliable even when the network disappears. This book is your practical guide to building exactly those kinds of systems with the Raspberry Pi AI HAT+ and the Hailo-8L accelerator. You’ll start with clear foundations: core AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge AI from cloud AI—plus an honest look at ethical considerations and future impacts. Then it’s straight to hands-on physical computing. Step by step, you’ll set up Raspberry Pi OS, power and cooling, and develop in Python using the Thonny IDE. You’ll learn GPIO basics with lights and servos, mount the AI HAT+ hardware, install and verify the Hailo software stack, and connect the right camera—official modules or USB webcams, even multiple cameras. From your first pipeline to real projects, you’ll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You’ll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm. With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge AI from buzzword into buildable reality.

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Principles, Systems, and Electronics This handbook provides a detailed study of the sensors and actuators at the heart of modern vehicle electronics. It begins with basic electrical and electronic concepts, introducing the principles and terminology essential for understanding automotive systems. The book explores sensors and actuators on a system-by-system basis, including: Fundamentals of electrical engineering, electromagnetic phenomena, and motor principles Passive and active electronic components, integrated circuits, protection devices, and automotive-grade electronics Sensor characteristics, signal conditioning, ADCs, PWM and frequency outputs, and interface adaptation Automotive communication links and protocols, including LIN and SENT Engine sensors: air mass, pressure, temperature, speed, position, exhaust and emissions-related sensors Transmission sensors for manual and automatic systems Steering and suspension sensors for conventional and active systems Vehicle body and electrical system sensors for comfort, climate, access, and monitoring functions Engine actuators such as throttle bodies, injectors, turbo actuators, EGR systems, ignition components, and pumps Transmission, brake, steering, suspension, and body actuators Identification and coding of electronic components and packages commonly used in automotive applications The structure and operating principles of each component are explained, with relevant electronic circuitry illustrated. Its system-oriented organization and practical focus make it a valuable reference for understanding, testing, and troubleshooting automotive electronic systems.

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From Theory to Practical Applications in Wireless Energy Transfer and Harvesting Wireless power transmission has gained significant global interest, particularly with the rise of electric vehicles and the Internet of Things (IoT). It’s a technology that allows the transfer of electricity without physical connections, offering solutions for everything from powering small devices over short distances to long-range energy transmission for more complex systems. Wireless Power Design provides a balanced mix of theoretical knowledge and practical insights, helping you explore the potential of wireless energy transfer and harvesting technologies. The book presents a series of hands-on projects that cover various aspects of wireless power systems, each accompanied by detailed explanations and parameter listings. The following five projects guide you through key areas of wireless power: Project 1: Wireless Powering of Advanced IoT Devices Project 2: Wireless Powered Devices on the Frontline – The Future and Challenges Project 3: Wireless Powering of Devices Using Inductive Technology Project 4: Wireless Power Transmission for IoT Devices Project 5: Charging Robot Crawler Inside the Pipeline These projects explore different aspects of wireless power, from inductive charging to wireless energy transmission, offering practical solutions for real-world applications. The book includes projects that use simulation tools like CST Microwave Studio and Keysight ADS for design and analysis, with a focus on practical design considerations and real-world implementation techniques.

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