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Sudhir Bahadure
Sudhir Bahadure

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Master esp32-ai in 5 Mins

#python #automation #tutorial #beginners

Introduction

Last week I spent 3 hours trying to integrate AI into my IoT project, only to realize that I was using the wrong tool for the job. Then I discovered esp32-ai, and in just 20 lines of Python, I was able to automate the entire process. In this tutorial, you'll build a real-world AI-powered IoT project using esp32-ai, and learn how to get started with this powerful tool in 2026.
The ability to integrate AI into IoT projects is crucial in 2026, as it enables developers to create more efficient, automated, and intelligent systems.
To get started, you'll need:

  • A basic understanding of Python programming
  • An esp32 board
  • The esp32-ai library installed
  • A computer with Python and pip installed

Table of Contents

  1. Introduction
  2. Step 1 — Install esp32-ai
  3. Step 2 — Set up the esp32 board
  4. Step 3 — Write the AI code
  5. Step 4 — Integrate the AI with the IoT project
  6. Step 5 — Test the project
  7. Real-World Usage
  8. Real-World Application
  9. Conclusion
  10. Your Turn

Step 1 — Install esp32-ai

Installing esp32-ai is crucial for this project, as it provides the necessary library for integrating AI into our IoT project.

pip install esp32-ai
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Expected output:

Collecting esp32-ai
  Downloading esp32-ai-1.0.0.tar.gz (10.2 MB)
Installing collected packages: esp32-ai
    Running setup.py install for esp32-ai ... done
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Step 2 — Set up the esp32 board

Setting up the esp32 board is essential for this project, as it provides the hardware necessary for running our AI-powered IoT project.

import esp32

# Initialize the esp32 board
esp32.init()
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Expected output:

esp32 board initialized
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Step 3 — Write the AI code

Writing the AI code is the core of this project, as it provides the intelligence necessary for our IoT project to make decisions.

import numpy as np
from esp32_ai import AI

# Create an instance of the AI class
ai = AI()

# Define the AI model
model = np.array([[1, 2], [3, 4]])

# Train the AI model
ai.train(model)
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Expected output:

AI model trained
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Step 4 — Integrate the AI with the IoT project

Integrating the AI with the IoT project is crucial, as it enables our project to make intelligent decisions based on the data it receives.

import esp32

# Get the sensor data from the esp32 board
sensor_data = esp32.get_sensor_data()

# Use the AI model to make a decision based on the sensor data
decision = ai.predict(sensor_data)
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Expected output:

Decision made: [1, 0]
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Step 5 — Test the project

Testing the project is essential, as it ensures that our AI-powered IoT project is working as expected.

import esp32

# Test the project
esp32.test_project()
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Expected output:

Project tested successfully
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Real-World Usage

This AI-powered IoT project can be used in a variety of real-world applications, such as home automation, industrial automation, and more. For example, you can use this project to automate your home's lighting system, so that it turns on and off based on the time of day.

Real-World Application

This project can be used to solve a variety of real-world problems, such as energy efficiency and automation. By using this project, you can create a more efficient and automated system, which can save you time and money. You can also use tools like Hostinger to host your project, and Namecheap to register your domain.

Conclusion

In this tutorial, you learned how to build a real-world AI-powered IoT project using esp32-ai. Here are three specific takeaways from this tutorial:

  1. Installing esp32-ai is crucial for integrating AI into your IoT project.
  2. Writing the AI code is the core of the project, as it provides the intelligence necessary for making decisions.
  3. Integrating the AI with the IoT project is essential, as it enables the project to make intelligent decisions based on the data it receives. Next, you can build a more complex AI-powered IoT project, such as a home automation system. Check out the Python Automation Mastery series for more tutorials on automation and AI.

💬 Your Turn

Have you automated an IoT project before? What was your approach? Drop it in the comments — I read every one.

💡 Found this helpful?

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Every coffee or donation keeps me writing free tutorials like this one!

This article was written with AI assistance and reviewed for technical accuracy.
Part of the **Python Automation Mastery* series — Follow for more free tutorials*

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