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Accelerating IoT Development with ChatGPT

You're reading from   Accelerating IoT Development with ChatGPT A practical guide to building your first IoT project using AI-assisted coding and cloud integration

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835461624
Length 368 pages
Edition 1st Edition
Tools
Concepts
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Author (1):
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Jun Wen Jun Wen
Author Profile Icon Jun Wen
Jun Wen
Jun Wen, the founder of AI Discovery Academy, is a passionate evangelist for AI enlightenment education among school students. With more than twenty years of experience in technology development, Jun has specialized in a wide range of industrial domains, including 4G/LTE, 5G, Wi-Fi, BLE, LoRaWAN, IoT, robotics, and AI. He has previously held senior product management positions at Fortune 500 companies such as Amazon, Cisco, and Motorola. Jun holds a Master of Science degree from Brown University and is an AWS Certified Solutions Architect - Professional. His passion extends to creating IoT innovations, utilizing platforms including Arduino, Raspberry Pi, RISC-V, and the AWS cloud, and finding practical applications for AI.
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Toc

Table of Contents (22) Chapters Close

Preface 1. Part 1: Understanding IoT Fundamentals FREE CHAPTER
2. Chapter 1: IoT Essentials, All You Should Know 3. Chapter 2: IoT Network, the Neural System of Things 4. Chapter 3: IoT End Devices, the Neuron Cells of an IoT System 5. Chapter 4: Wireless Connectivity, the Nervous Pathway to Delivering IoT Data 6. Chapter 5: The Cloud, IoT’s “Superpower Brain” 7. Part 2: Utilizing AI in IoT Development
8. Chapter 6: Applying ChatGPT in the IoT Innovation Journey 9. Chapter 7: Recommendations to Start Your First IoT Project 10. Chapter 8: 10 Beginner-Friendly IoT Projects with ChatGPT Prompts 11. Chapter 9: Using AI Tools to Draw Application Flow Diagrams 12. Part 3: Practicing an End-to-End Project
13. Chapter 10: Setting Up the Development Environment for Your First Project 14. Chapter 11: Programming Your First Code on ESP32 15. Chapter 12: Establishing Wi-Fi Connectivity 16. Chapter 13: Connecting the ESP32 to AWS IoT Core 17. Chapter 14: Publishing Sensor Data to AWS IoT Core 18. Chapter 15: Processing, Storing, and Querying Sensor Data on AWS Cloud 19. Chapter 16: Creating a Data Visualization Dashboard on ThingsBoard 20. Index 21. Other Books You May Enjoy

Technical requirements

In the following 10 project cases, we are going to select ESP32-C3 as an example of interaction with the Arduino sensors. The hardware specification and pin definition of ESP32-C3 are illustrated in Chapter 11.

Here is the list of sensors covered in this chapter:

Projects

Sensor Module

Temperature and humidity measurement

DHT11

Flame detection

KY-026

PIR motion detection

HC-SR501

Gas detection

MQ-2

Distance measurement

HC-SR04

Tilt detection

SW-520D

Vibration detection

SW-420

Collision...

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Authors (1)

Profile icon Jun Wen
Jun Wen
LinkedIn icon Github icon
Jun Wen, the founder of AI Discovery Academy, is a passionate evangelist for AI enlightenment education among school students. With more than twenty years of experience in technology development, Jun has specialized in a wide range of industrial domains, including 4G/LTE, 5G, Wi-Fi, BLE, LoRaWAN, IoT, robotics, and AI. He has previously held senior product management positions at Fortune 500 companies such as Amazon, Cisco, and Motorola. Jun holds a Master of Science degree from Brown University and is an AWS Certified Solutions Architect - Professional. His passion extends to creating IoT innovations, utilizing platforms including Arduino, Raspberry Pi, RISC-V, and the AWS cloud, and finding practical applications for AI.
Read more
See other products by Jun Wen

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