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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 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

Task 3 – Producing a real-time dashboard with ThingsBoard

In this task, we are going to use the Dashboards feature provided by ThingsBoard.

The Data Dashboard feature in ThingsBoard offers a range of tools for creating customizable dashboards. These can include a variety of widgets such as charts, maps, gauges, and tables, designed for real-time and historical data analysis. Users can set up dashboards for dynamic monitoring with real-time data streaming and conduct detailed historical data analysis using advanced data aggregation capabilities such as averages, sums, and counts. Dashboards are interactive, facilitating direct parameter manipulation and thorough data exploration. They can be shared with controlled access for collaboration without compromising security. Furthermore, the responsive design ensures usability across various devices and screen sizes, an essential aspect for effective IoT environment monitoring.

In addition to customizing with the Dashboards feature...

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