🚀 ElatoAI: Realtime AI Speech for ESP32

Realtime AI Speech powered by OpenAI Realtime API, ESP32, Secure WebSockets, and Deno Edge Functions for >10-minute uninterrupted global conversations

📺 Demo Video

https://github.com/user-attachments/assets/aa60e54c-5847-4a68-80b5-5d6b1a5b9328

Getting Started

1. Set up your Local Supabase Backend. From the root directory, run:

supabase start # Starts your local Supabase server with the default migrations and seed data.

2. Set up your NextJS Frontend. From the frontend-nextjs directory, run:

npm install
npm run dev

3. Add your ESP32-S3 Device MAC Address to the Settings page in the NextJS Frontend. (Remove colons and convert to lowercase, useful for adding friendly user codes when registering multiple devices)

# Example 

# 12:34:56:78:9A:BC -> 123456789abc
# 12:34:56:78:9A:BD -> 123456789abd

Tip: To find your ESP32-S3 Device's MAC Address, build and upload test/print_mac_address_test.cpp using PlatformIO.

4. Add your OpenAI API Key in the server-deno/.env and frontend-nextjs/.env.local file.

OPENAI_API_KEY=your_openai_api_key

5. Set up your ESP32 Arduino Client. On PlatformIO, first Build the project, then Upload the project to your ESP32.

🌟 Features

• Realtime Speech-to-Speech: Instant speech conversion powered by OpenAI's Realtime APIs.
• Create Custom AI Agents: Create custom agents with different personalities and voices.
• Secure WebSockets: Reliable, encrypted WebSocket communication.
• Server Turn Detection: Intelligent conversation flow handling for smooth interactions.
• Opus Audio Compression: High-quality audio streaming with minimal bandwidth.
• Global Edge Performance: Low latency Deno Edge Functions ensuring seamless global conversations.
• ESP32 Arduino Framework: Optimized and easy-to-use hardware integration.

📌 Project Architecture

ElatoAI consists of three main components:

1. Frontend Client (Next.js hosted on Vercel)
2. Edge Server Functions (Deno running on Deno/Supabase Edge)
3. ESP32 IoT Client (PlatformIO/Arduino)

🛠 Tech Stack

Component	Technology Used
Frontend	Next.js, Vercel
Backend	Supabase DB
Edge Functions	Deno Edge Functions on Deno/Supabase
IoT Client	PlatformIO, Arduino Framework, ESP32-S3
Audio Codec	Opus
Communication	Secure WebSockets
Libraries	ArduinoJson, WebSockets, AsyncWebServer, ESP32_Button, Arduino Audio Tools, ArduinoLibOpus

🗺️ High-Level Flow

flowchart TD
  User[User Speech] --> ESP32
  ESP32[ESP32 Device] -->|WebSocket| Edge[Deno Edge Function]
  Edge -->|OpenAI API| OpenAI[OpenAI Realtime API]
  OpenAI --> Edge
  Edge -->|WebSocket| ESP32
  ESP32 --> User[AI Generated Speech]

📂 Project Structure

graph TD
  repo[ElatoAI]
  repo --> frontend[Frontend - Next.js]
  repo --> deno[Deno Edge Function]
  repo --> esp32[ESP32 Arduino Client]

  frontend --> supabase[Supabase DB]
  esp32 --> websockets[Secure WebSockets]
  esp32 --> opus[Opus Codec]
  esp32 --> audio_tools[arduino-audio-tools]

⚙️ PlatformIO Configuration

[env:esp32-s3-devkitc-1]
platform = espressif32 @ 6.10.0
board = esp32-s3-devkitc-1
framework = arduino
monitor_speed = 115200

lib_deps =
    bblanchon/ArduinoJson@^7.1.0
    links2004/WebSockets@^2.4.1
    ESP32Async/ESPAsyncWebServer@^3.7.6
    https://github.com/esp-arduino-libs/ESP32_Button.git#v0.0.1
    https://github.com/pschatzmann/arduino-audio-tools.git#v1.0.1
    https://github.com/pschatzmann/arduino-libopus.git#a1.1.0

📊 Important Stats

• ⚡️ Latency: <1s round-trip globally
• 🎧 Audio Quality: Opus codec at 24kbps (high clarity)
• ⏳ Uninterrupted Conversations: Up to 10 minutes continuous conversations
• 🌎 Global Availability: Optimized with edge computing with Deno

🛡 Security

• Secure WebSockets (WSS) for encrypted data transfers
• Edge validation and error handling for robust, secure deployment

🤝 Contributing

We welcome contributions

• Fork this repository.
• Create your feature branch (git checkout -b feature/EpicFeature).
• Commit your changes (git commit -m 'Add EpicFeature').
• Push to the branch (git push origin feature/EpicFeature).
• Open a PR

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

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