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

Data processing on the cloud

Once the device establishes communication with the cloud and sends the data, the data starts its journey within the cloud. You can still use https://mermaidchart.com to create a data process flow diagram outlining how the data is processed:

Task: Imagine you're planning to develop a temperature sensor end-device for monitoring conditions in customer warehouses. This device includes a temperature sensor, an MCU, four distinct LEDs for various status indicators (temperature range, Wi-Fi access, AWS Cloud access, and system information), a buzzer, and an embedded Wi-Fi module. The current phase of development focuses on the data handling and processing within the AWS Cloud environment.

Action: Design a comprehensive diagram that illustrates the sequence of data handling and processing among various AWS Cloud services.

  1. Data Ingestion:
    • The sensor data is published to the AWS IoT Core through MQTT protocol
  2. Data Processing and Analysis:
    • The...
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