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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
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Concepts
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Author (1):
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Jun Wen Jun Wen
Author Profile Icon Jun Wen
Jun Wen
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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

Processing data locally

Sensor data is first collected locally by the MCU. In most cases, an MCU processes sensor data locally under the following situations:

  • Normal situation: The MCU successfully fetches data from the sensor, or the sensor triggers an event as expected.
  • Abnormal situation: The MCU fails to fetch data from the sensor, or the sensor fails to trigger an event. In this case, the most likely causes are sensor initialization failure or hardware malfunction.

To enhance the user experience and quickly indicate the service status, consider using a color-changing LED and a buzzer beep on your IoT device to convey meaningful messages to the user.

With this in mind, let us use the AI chat at https://www.mermaidchart.com/ to generate a flow.

The following screenshot shows the process to prompt the AI chat at mermaidchart.com to create a diagram following your instructions.

Figure 9.1 – An overview of how diagrams are generated by mermaidchart.com

Figure 9.1 – An overview of how diagrams are...

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