Have you ever imagined having a magic mirror like the one in Snow White that can show you anything and everything? Well, now you can! In this article, we will guide you through the process of building your own AI mirror that listens to your voice and displays any image you want to see.
To build the AI mirror, you will need the following materials:
- Raspberry Pi: a low-cost, small-sized computer
- USB microphone: for speaking commands
- HDMI cable: for connecting the mirror
- Micro SD card: for storing the software
- Two-way mirror: a special type of glass that appears as a mirror from one side but allows light to pass through from the other side
- 10-inch Raspberry Pi monitor: to display the images
- Mouse and keyboard: for programming
- 12x12 box frame: to hold the mirror
Once you have gathered all the materials, you can start building the AI mirror. The software used for this project is the Dali 2 API by OpenAI, which can generate realistic images from text input. To operate the mirror through voice commands, you will also need to convert speech to text.
To begin, obtain an API key to access the Dali 2 API. Then, use the provided Python code to enable the Raspberry Pi to recognize voice commands and fetch the corresponding image from the API. Install the required libraries as instructed.
Once the software is complete, create a startup script to launch the mirror software automatically upon boot up. This ensures that the mirror is ready to use as soon as you start up the Raspberry Pi.
After programming the Raspberry Pi, it’s time to assemble all the parts. Insert the micro SD card into the Raspberry Pi and screw it onto the monitor. Connect the USB microphone to the Raspberry Pi and set up the monitor in the box frame. Cover the frame with a black cloth to block external lights, leaving the power supply cable accessible.
Congratulations! Your AI mirror is now ready to use. Place it anywhere in your room and have fun exploring its capabilities. You can even add LED strip lights to make it more colorful and exciting.
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