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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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Table of Contents (22) Chapters Close

Preface 1. Part 1: Understanding IoT Fundamentals
2. Chapter 1: IoT Essentials, All You Should Know FREE CHAPTER 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

Summary

At the end of this chapter, the sensor data has successfully reached AWS IoT Core. However, this is merely the initial step for a cloud service in commercial-grade IoT applications. The raw data now requires further processing. This can involve triggering an immediate alarm if an abnormal event is detected or storing the data for future analysis and visualization.

In the next chapter, you will learn storing, processing, and analyzing this sensor data using various AWS services. We plan to establish two message-routing rules in AWS IoT Core. The first rule will involve AWS Lambda, the premier serverless computing service. If abnormal sensor data is detected, we will request ChatGPT to generate a Python-based algorithm on AWS Lambda, which will trigger an email alert on AWS SNS. The second rule will guide data to AWS IoT Analytics for storage and preparation for subsequent visualization.

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