Tutorial: Building an AI Assistant with ESP32-S3

In this tutorial, we'll guide you through creating an AI assistant using the ESP32-S3, a microphone, and a speaker. This project will capture audio, process it with AI, and respond with synthesized s

Demo

Materials Needed

- ESP32-S3 Devkit

- INMP441 Microphone

- MAX98357A Amplifier

- 0.5W Speaker

- Breadboard and Jumper Wires

Circuit Setup

1. **Connect the Microphone (INMP441):**

- VDD to 3.3V

- GND to GND

- SCK to GPIO 5

- WS to GPIO 6

- SD to GPIO 17

2. **Connect the Amplifier (MAX98357A):**

- VIN to 3.3V

- GND to GND

- BCLK to GPIO 5

- LRC to GPIO 6

- DIN to GPIO 7

3. **Connect the Speaker:**

- Connect the speaker to the output terminals of the MAX98357A.

4. **Connect the Button:**

- Connect one terminal to GPIO 35 and the other to GND.

5. **Connect the RGB LED:**

- Connect to GPIO 48.

Software Setup

Arduino Code

1. **Install Required Libraries:**

- Install `ArduinoWebsockets` and `Adafruit_NeoPixel` libraries via the Arduino Library Manager.

2. **Upload the Code:**

- Use the provided `code.ino` file.

- Update the WiFi credentials and WebSocket server details.

Node.js Server

1. **Install Node.js and Required Packages:**

npm install ws wav openai fluent-ffmpeg

2. **Run the Server:**

- Use the `server.js` file.

- Replace the OpenAI API key with your own.

### Running the Project

1. **Start the Node.js Server:**

node server.js

2. **Power the ESP32-S3:**

- Connect it to your computer or a power source.

3. **Interact with the AI Assistant:**

- Press the button to start recording.

- Speak into the microphone.

- The AI will process your speech and respond through the speaker.

## Explanation

- **ESP32-S3** captures audio and sends it to the server via WebSocket.

- **Node.js Server** processes the audio using OpenAI's API and sends back a response.

- **ESP32-S3** plays the response through the speaker.

## Troubleshooting

- Ensure all connections are secure.

- Check WiFi credentials and server IP.

- Verify the OpenAI API key is correct.

This project demonstrates a simple AI assistant using readily available components. Enjoy experimenting and expanding its capabilities!