Embedded AI From Scratch

"Embedded AI From Scratch" is a comprehensive, practical, and accessible guide designed to demystify the exciting world where Artificial Intelligence meets Embedded Systems. This book serves as a bridge between the theoretical concepts of machine learning and the practical constraints of hardware, empowering you to build truly intelligent devices.


Key Features of This Book:


1. Beginner to Advanced Progression: A carefully crafted learning path that starts with foundational concepts and progressively builds up to advanced topics and a full-scale capstone project, making it suitable for all skill levels.
2. Hands-On Approach: Every theoretical concept is immediately followed by practical labs and code examples, ensuring you can apply what you learn on real hardware like Arduino, ESP32, and Raspberry Pi.
3. Real-World Case Studies: Explore how Embedded AI is used in industries like consumer electronics, automotive, and smart agriculture, providing context and inspiration for your own projects.
4. Comprehensive Capstone Project: The final chapter guides you step-by-step through building a complete "Predictive Maintenance Sensor," including hardware setup, data collection, model training, and a full, explained C++/MicroPython codebase.
5. Simplified and Relevant Content: Complex topics like neural network quantization and sensor data preprocessing are broken down into easy-to-understand, digestible steps.
6. Focus on Latest Tools and Technologies: Gain experience with industry-standard frameworks and platforms like TensorFlow Lite for Microcontrollers, Edge Impulse, and PlatformIO.
7. Complete Learning Resource: Serves as a perfect textbook for university courses and a self-study guide for independent learners, complete with code repositories and supplementary materials.
8. NEP 2020 & AICTE Aligned: The book’s structure promotes multidisciplinary, experiential, and skill-based learning with a strong emphasis on practical problem-solving, directly aligning with modern educational frameworks.


The approach is grounded in a "learning-by-doing" methodology. Starting from the absolute basics, each chapter builds upon the last, taking you on a structured journey from fundamental principles to the development of a sophisticated, real-world Embedded AI application. We eschew dense academic jargon in favor of clear, simple language, and reinforce every concept with practical examples, hands-on labs, and insightful case studies.