12 Smart-Device AI Projects
Build Smart Devices That See, Hear, and Learn with Edge AIBy Desmond Whitlock
Length7h 52m
About this audiobook
AI projects smart home devices machine learning hardware — Build connected devices with on-board intelligence, from smart-home sensors to predictive monitoring, combining machine learning with real IoT hardware. This hands-on guide takes you from beginner to pro, crafting 12 practical projects that integrate AI directly into smart devices. You'll learn to deploy lightweight ML models on microcontrollers, create sensor arrays that predict maintenance needs, and design voice-controlled assistants that run offline. Each project includes circuit diagrams, code listings, and troubleshooting tips. Topics cover edge computing, real-time data processing, and low-power optimization. By the end, you'll have a portfolio of working prototypes and the skills to innovate further. Unlike [placeholder] and [placeholder], this book emphasizes on-board AI without cloud dependency, ensuring privacy and low latency.
What You'll Build:
• Smart thermostat with occupancy learning
• Predictive maintenance monitor for appliances
• Gesture-controlled lighting system
• Voice-activated security camera with local processing
• Soil moisture sensor with irrigation forecasting
• Air quality analyzer with anomaly detection
• Wearable health tracker with fall detection
• Smart lock with facial recognition
• Energy meter with consumption prediction
• Pet feeder with behavioral analysis
• Plant health monitor with disease prediction
• Multi-sensor gateway with AI fusion
Each project uses affordable components like Raspberry Pi Pico, ESP32, or Arduino Nano. You'll implement decision trees, k-nearest neighbors, and lightweight neural networks using TensorFlow Lite and Edge Impulse. The book covers sensor calibration, wireless communication (Wi-Fi, BLE, LoRa), and power management. Debugging techniques and performance benchmarks help you refine designs. Perfect for hobbyists, students, and engineers entering the IoT AI space.
Audiobook details
GenreTechnology
Length7 hrs 52 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateSep 30, 2026
LanguageEnglish
Table of contents
1Preface
2Chapter 1 — Microcontroller Foundations – Your First Smart Sensor
3Chapter 2 — Connectivity – MQTT and the Internet of Things
4Chapter 3 — Cloud Integration – Device Shadows and Remote Control
5Chapter 4 — Edge AI – Wake-Word Detection on a $5 Chip
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6Chapter 5 — Home Automation Hub – Installing Home Assistant
7Chapter 6 — Computer Vision – Motion Detection with ESP32-CAM
8Chapter 7 — Advanced Vision – Person Detection with YOLOv8
9Chapter 8 — Voice Assistant – Offline NLP with Whisper and LLMs
10Chapter 9 — Predictive Maintenance – Anomaly Detection for Appliances
11Chapter 10 — Energy Monitoring – Non-Invasive Current Sensing
12Chapter 11 — Energy Optimization – AI-Driven Vampire Power Elimination
13Chapter 12 — Outdoor Automation – LoRaWAN for Long-Range Garden Control
14Chapter 13 — Security System – Integrated AI Camera Alerts
15Chapter 14 — Multi-Modal Input – Fusion of Voice, Motion, App, and Weather
16Chapter 15 — Reinforcement Learning – Teaching the House Your Preferences
17Chapter 16 — Failsafe Modes – Graceful Degradation and Manual Overrides
18Chapter 17 — Whole-House Integration – The AI Brain Takes Shape
19Chapter 18 — Conclusion – From Prototype to Product and Beyond
20About the Author
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