สร้าง Jarvis AI พูดได้ตอบได้ ตาม Iron Man I Dev ตามหนัง Ep.06

Introduction

In this tutorial, we will create a voice-responsive AI assistant, similar to Jarvis from Iron Man, using Python. This step-by-step guide will help you understand how to build a simple yet effective AI that can respond to commands. We will utilize the project files available on GitHub and provide practical advice along the way, making the process accessible even for those with basic programming knowledge.

Step 1: Set Up Your Development Environment

To start building your Jarvis AI, you will need to set up your Python environment.

1. Install Python:

   • Download and install the latest version of Python from the official website.
   • Ensure that Python is added to your system path during the installation.

2. Install Required Libraries:

   • Open your command prompt or terminal.
   • Install the necessary libraries using pip:

     pip install pyttsx3 SpeechRecognition pyaudio
     

Step 2: Clone the Project Repository

Next, you will need to obtain the project files that will help you set up your AI.

1. Clone the GitHub Repository:
   • Open your terminal.
   • Use the following command to clone the repository:

     git clone https://github.com/BorntoDev/Javis-Python.git
     

   • Navigate into the cloned directory:

     cd Javis-Python
     

Step 3: Understanding the Code Structure

Before running the AI, take a moment to familiarize yourself with the code structure.

1. Main Files:

   • Look for the main Python script (usually named main.py or similar).
   • Review the code to understand how it works, focusing on key functions for voice recognition and response.

2. Key Libraries:

   • pyttsx3: This library is used for text-to-speech conversion.
   • SpeechRecognition: This library allows the AI to understand spoken commands.

Step 4: Running the AI Assistant

Now that your environment is set up and you understand the code, it's time to run your AI.

1. Execute the Main Script:

   • In your terminal, run the following command:

     python main.py
     

   • Your AI should now start and listen for commands.

2. Test Commands:

   • Speak simple commands, such as "Hello Jarvis" or "What is the weather?" and observe how the AI responds.

Step 5: Customize Your AI

To make your AI more personalized, consider adding custom commands.

1. Modify the Command List:

   • Open the main Python script.
   • Look for the section that defines commands and responses.
   • Add your own commands and corresponding actions. For example:

     if "your command" in command:
         engine.say("Your response")
     

2. Test New Commands:

   • After making changes, rerun the AI and test the new commands to ensure they work as expected.

Conclusion

In this tutorial, you learned how to create a simple voice-responsive AI assistant using Python. We set up the environment, cloned the necessary project files, and customized the AI to respond to commands. This project serves as a great introduction to working with AI and voice recognition in Python.

Next steps could include exploring more advanced functionalities, such as integrating additional libraries for complex queries or enhancing the AI's speech recognition capabilities. Happy coding!