Accelerating IoT Development with ChatGPT

Book description

Build cutting-edge projects with ChatGPT, PlatformIO, ESP32, and Arduino-compatible sensors by integrating AWS Cloud and the ThingsBoard dashboard

Key Features

  • Leverage ChatGPT to generate code on ESP32 for sending sensor data to AWS Cloud
  • Create your own visualization dashboard on ThingsBoard Cloud
  • Follow step-by-step configuration guidance to ingest, process, store, and query data on AWS Cloud
  • Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Unlike other IoT books that focus on theory and generic applications, this guide takes a practical approach, empowering you to leverage ChatGPT to build your very first IoT prototype. With over 20 years of experience in wireless and IoT technologies and a background as an instructor, Jun Wen expertly guides you from project kick-off to a fully functional prototype.

The book emphasizes the transformative impact of ChatGPT for IoT, teaching you how to use ChatGPT to generate code for your applications, even with limited coding experience. You’ll be introduced to using PlatformIO IDE within Visual Studio Code and discover the cutting-edge RISC-V architecture, the ESP32 MCU, Arduino-compatible sensors, and integration methods for AWS and the ThingsBoard dashboard. Working through 10 different project examples, including flame detection, smoke detection, and air quality measurement, you’ll become proficient in the functions and specifications of each sensor and the use cases they solve.

By the end of this book, you’ll be ready to undertake IoT development projects, bridging the gap between your ideas and functional creations.

What you will learn

  • Master IoT essentials, such as networks, end devices, wireless connectivity, and the cloud
  • Explore the ChatGPT prompting framework and build crucial skills for IoT projects
  • Discover best practices for building robust IoT hardware prototypes
  • Find out how to set up Visual Studio Code and PlatformIO IDE
  • Connect ESP32 to AWS through TLS and MQTT
  • Explore popular connectivity technologies widely adopted in IoT
  • Integrate IoT sensors with ESP32 to capture accurate data using ChatGPT's assistance

Who this book is for

If you’re a beginner interested in applying IoT technology to your projects but face challenges due to limited experience in embedded software coding, specifically in C and C++, this book is for you. Whether you’re a student, hardware hobbyist, DIY enthusiast, IoT developer, or professional from a non-technical background, if you feel that your ability to innovate is often stalled by the complexity of software coding, this easy-to-follow guide to using ChatGPT for generating example code will boost your IoT prototype development.

Table of contents

  1. Accelerating IoT Development with ChatGPT
  2. Contributors
  3. About the author
  4. About the reviewers
  5. Preface
    1. Who this book is for
    2. What this book covers
    3. To get the most out of this book
    4. Download the example code files
    5. Conventions used
    6. Get in touch
    7. Share your thoughts
    8. Download a free PDF copy of this book
  6. Part 1: Understanding IoT Fundamentals
  7. Chapter 1: IoT Essentials, All You Should Know
    1. The evolving definition of IoT
      1. Deployed from fixed to mobility
      2. Mobility from a local area to a wide area
      3. Presence from city to barren fields
      4. Throughput from Mb/s to Gb/s
      5. Battery life from days to years
      6. Networking from point-to-point and point-to-multipoint to mesh and star topologies
      7. Intelligence at edge node
      8. AI and ML
    2. Addressable markets
      1. Residential
      2. Commercial and business
      3. Neighborhood and campus
      4. Cities
      5. Rural areas
      6. Industries
    3. How IoT impacts us
      1. Living comfort and safety improvement
      2. Operational efficiency improvement
      3. Environmental protection improvement
      4. Industrial productivity improvement
    4. Summary
    5. Further reading
  8. Chapter 2: IoT Network, the Neural System of Things
    1. IoT networks at home
      1. Home Wi-Fi
      2. BLE
      3. Thread
    2. IoT networks on campuses and in buildings
      1. Enterprise Wi-Fi
      2. Thread mesh
      3. Private LoRaWAN network
      4. No one-size-fits-all approach
    3. IoT networks in cities
      1. Cellular network
      2. Public LoRaWAN network
    4. IoT networks in rural areas
      1. Private LoRaWAN network
      2. LEO network
    5. Summary
  9. Chapter 3: IoT End Devices, the Neuron Cells of an IoT System
    1. Device types
      1. Installing indoors versus outdoors
      2. Powering via external supply versus batteries
      3. Connected by wire versus wireless
      4. The need for edge computing
    2. Hardware architecture
    3. MCUs
      1. Roles
      2. Key features
      3. Critical components
      4. Off-the-shelf MCU
      5. DIY-friendly MCU
    4. Peripherals and interfaces
      1. GPIO
      2. SPI
      3. I2C
      4. UART
      5. USB
      6. SDIO
      7. ADCs
      8. DACs
      9. PWM outputs
      10. JTAG
      11. Timers
      12. Real-time clock
    5. Sensors and actuators
      1. Sensors
      2. Actuators
      3. Common pins on sensors
      4. Understanding sensor specifications
    6. Summary
  10. Chapter 4: Wireless Connectivity, the Nervous Pathway to Delivering IoT Data
    1. 10 knowledge points about wireless data communication
      1. OSI model
      2. Signal processing
      3. Electromagnetic waves
      4. Frequency and wavelength
      5. dB, dBm, and dBi
      6. Signal strength and quality
      7. Shannon’s Law and theoretical channel capacity
      8. Modulation
      9. Antenna technology
      10. Propagation distance
    2. BLE
      1. History and current status
      2. Bluetooth 1.0 to 3.0 – the age of Bluetooth Classic
      3. Bluetooth 4.0 to 5.3 and beyond – the era of BLE
    3. Wi-Fi
      1. History and current status
      2. Wi-Fi 6
      3. Wi-Fi 6E
      4. Wi-Fi 7
    4. 4G/LTE and 5G
      1. History and current status
      2. NB-IoT
      3. LTE CAT-M
      4. Standard organization
      5. Ecosystem players
    5. Summary
  11. Chapter 5: The Cloud, IoT’s “Superpower Brain”
    1. Important tips
    2. Why is the cloud essential for IoT?
      1. The pain point of IoT before the cloud
      2. The impact of the cloud
    3. Integrating IoT with the cloud
      1. Device management
      2. Data ingestion
    4. Communication protocols between IoT devices and the cloud
      1. MQTT
      2. LwM2M
      3. CoAP
    5. AWS for IoT
      1. AWS IoT Core
      2. AWS IoT Device Management
      3. AWS IoT Device Defender
      4. AWS IoT Analytics
      5. AWS Lambda
      6. AWS Kinesis
      7. AWS DynamoDB
      8. AWS QuickSight
    6. Summary
  12. Part 2: Utilizing AI in IoT Development
  13. Chapter 6: Applying ChatGPT in the IoT Innovation Journey
    1. Important tips
    2. Reshaping the future with AI
    3. Utilizing ChatGPT in IoT development process
    4. Interacting with ChatGPT properly
    5. Best practices for beginner IoT projects
      1. Prompt framework options
      2. Best practice prompt examples
    6. Generating code snippets on ESP32
    7. Summary
  14. Chapter 7: Recommendations to Start Your First IoT Project
    1. Technical requirements
    2. Thinking big and starting small
    3. Reaching out for the low-hanging fruits first
    4. Summary
  15. Chapter 8: 10 Beginner-Friendly IoT Projects with ChatGPT Prompts
    1. Technical requirements
    2. Project 1 – temperature and humidity measurement
      1. Specifications
      2. Applications
      3. Prompt to ChatGPT
      4. Code example
    3. Project 2 – flame detection
      1. Specifications
      2. Analog output values
      3. Applications
      4. Prompt to ChatGPT
      5. Code example
    4. Project 3 – PIR motion detection
      1. Specifications
      2. Applications
      3. Prompt to ChatGPT
      4. Code example
    5. Project 4 – gas detection
      1. Specifications
      2. Analog output values
      3. Applications
      4. Prompt to ChatGPT
      5. Code example
    6. Project 5 – distance measurement
      1. Specifications
      2. Applications
      3. Prompt to ChatGPT
      4. Code example
    7. Project 6 – tilt detection
      1. Specifications
      2. Applications
      3. Prompt to ChatGPT
      4. Code example
    8. Project 7 – vibration detection
      1. Specifications
      2. Applications
      3. Prompt to ChatGPT
      4. Code example
    9. Project 8 – collision detection
      1. Specifications
    10. Applications
      1. Prompt to ChatGPT
      2. Code example
    11. Project 9 – soil moisture detection
      1. Specifications
      2. Applications
      3. Prompt to ChatGPT
      4. Code example
    12. Project 10 – magnetic change detection
      1. Specifications
      2. Applications
      3. Prompt to ChatGPT
      4. Code example
    13. Summary
  16. Chapter 9: Using AI Tools to Draw Application Flow Diagrams
    1. Using diagrams for a better application journey
    2. Processing data locally
    3. Establishing an internet connection
    4. Sending sensor data to Cloud
    5. Data processing on the cloud
    6. Summary
  17. Part 3: Practicing an End-to-End Project
  18. Chapter 10: Setting Up the Development Environment for Your First Project
    1. Technical requirements
    2. Installing Visual Studio Code (VS Code)
    3. Setting up PlatformIO IDE
    4. Installing other coding assistance extensions
    5. Creating your first project under PlatformIO
    6. Summary
  19. Chapter 11: Programming Your First Code on ESP32
    1. Designing the application’s local logic
    2. Creating a flow diagram with ChatGPT
    3. Building a device hardware prototype
    4. Instructing ChatGPT to generate C++ code
    5. Code examples
    6. Using PlatformIO to program code on the ESP32
    7. Summary
  20. Chapter 12: Establishing Wi-Fi Connectivity
    1. Designing Wi-Fi access logic
    2. Creating the Wi-Fi access flow diagram
    3. Instructing ChatGPT to generate code
    4. Code examples
    5. Validating internet access on ESP32
    6. Summary
  21. Chapter 13: Connecting the ESP32 to AWS IoT Core
    1. Technical requirements
    2. Understanding the approach to connect the ESP32 to AWS IoT Core
    3. Provisioning the ESP32 in AWS IoT Core
    4. Creating an AWS credential header file on the ESP32
    5. Instructing ChatGPT to produce TLS code on the ESP32
    6. Code examples
    7. Validating access status on the ESP32
    8. Summary
  22. Chapter 14: Publishing Sensor Data to AWS IoT Core
    1. Technical requirements
    2. Sending sensor data through MQTT Publish
    3. Constructing an MQTT Publish topic and payload in ESP32
    4. Code examples
    5. Validating the delivered sensor data
    6. Summary
  23. Chapter 15: Processing, Storing, and Querying Sensor Data on AWS Cloud
    1. Creating a customer-managed policy
    2. Task 1 – abnormal event process
      1. Configuration steps
      2. Creating a message routing rule
      3. Creating a Lambda function
      4. Creating an SNS topic
      5. Programming the Lambda function
    3. Task 2 – data storage and querying
      1. Creating IoT Analytics resources
      2. Creating a second message routing rule
      3. Running a data query
    4. Summary
  24. Chapter 16: Creating a Data Visualization Dashboard on ThingsBoard
    1. Technical requirements
    2. Integrating the AWS cloud with ThingsBoard
    3. Task 1 – Provisioning a ThingsBoard agent with AWS
    4. Task 2 – Creating the data converter and integrating it with ThingsBoard
    5. Task 3 – Producing a real-time dashboard with ThingsBoard
    6. Summary
  25. Index
    1. Why subscribe?
  26. Other Books You May Enjoy
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    3. Download a free PDF copy of this book

Product information

  • Title: Accelerating IoT Development with ChatGPT
  • Author(s): Jun Wen
  • Release date: August 2024
  • Publisher(s): Packt Publishing
  • ISBN: 9781835461624