🚀 ElatoAI: Realtime Speech AI Agents for ESP32

Realtime AI Speech powered by OpenAI Realtime API and Gemini Live API, ESP32, Secure WebSockets, and Deno Edge Functions for >15-minute uninterrupted global conversations

⚡️ With SOTA Realtime AI Speech Models on an ESP32

📽️ Demo Video (✨ Gemini demo)

Video links: OpenAI Demo | Gemini Demo

Homepage | Buy AI device | Buy AI Dev Kit

👷‍♀️ DIY Hardware Design

📱 App Design

Control your ESP32 AI device from your phone with the Elato AI webapp.

Select from a list of AI characters	Talk to your AI with real-time responses	Create personalized AI characters

🚀 Quick Start

1. Clone the repository

git clone git@github.com:akdeb/ElatoAI.git

2. Start Supabase

Install Supabase CLI and set up your Local Supabase Backend. Make sure you have Docker Desktop set up. Then from the root directory, run:

brew install supabase/tap/supabase
supabase start # This starts your local Supabase server with the default migrations and seed data.

3. Set up your NextJS Frontend

(See the Frontend README)

From the frontend-nextjs directory, run the following commands. (Login creds: Email: admin@elatoai.com, Password: admin)

cd frontend-nextjs
npm install
cp .env.example .env.local

# In .env.local, set your environment variables 
# NEXT_PUBLIC_SUPABASE_ANON_KEY=<your-supabase-anon-key>
# OPENAI_API_KEY=<your-openai-api-key>

# Run the development server
npm run dev

4. Choose edge server option

• ELATO MODE: Got your own ESP32 DIY hardware device? We offer a fully hosted edge server for you to use! Register your device on the settings page and it will automatically connect to our edge server. Check out our Pricing page for more details.

• DEV MODE: Alternatively, you can run your own edge server locally by following the instructions below and in the Deno server README.

Pro Tip: You can adjust this server setting in the firmware-arduino/Config.h file.

5. If you choose to run your own edge server locally:

# Navigate to the server directory
cd server-deno
cp .env.example .env

# In .env, set your environment variables 
# SUPABASE_KEY=<your-supabase-anon-key>
# OPENAI_API_KEY=<your-openai-api-key>
# GEMINI_API_KEY=<your-gemini-api-key>

# Run the server at port 8000
deno run -A --env-file=.env main.ts

6. Setup the ESP32 Device firmware

(See the ESP32 Device README)

In Config.cpp set ws_server and backend_server to your local IP address. Run ifconfig in your console and find en0 -> inet -> 192.168.1.100 (it may be different for your Wifi network). This tells the ESP32 device to connect to your NextJS frontend and Deno server running on your local machine. All services should be on the same Wifi network.

7. Setup the ESP32 Device Wifi

Build and upload the firmware to your ESP32 device. The ESP32 should open an ELATO-DEVICE captive portal to connect to Wifi. Connect to it and go to http://192.168.4.1 to configure the device wifi.

8. Turn on your device

Once your Wifi credentials are configured, turn the device off and on again and it should connect to your Wifi and your server. Now you can talk to your AI Character!

Project Architecture

ElatoAI consists of three main components:

1. Frontend Client (Next.js hosted on Vercel) - to create and talk to your AI agents and 'send' it to your ESP32 device
2. Edge Server Functions (Deno running on Deno/Supabase Edge) - to handle the websocket connections from the ESP32 device and the OpenAI and Gemini API calls
3. ESP32 IoT Client (PlatformIO/Arduino) - to receive the websocket connections from the Edge Server Functions and send audio to the OpenAI and Gemini API via the Deno edge server.

🌟 Full list of features

1. Realtime Speech-to-Speech: Instant speech conversion powered by OpenAI's Realtime API and Gemini's Live API.
2. Create Custom AI Agents: Create custom agents with different personalities and voices.
3. Customizable Voices: Choose from a variety of voices and personalities.
4. Secure WebSockets: Reliable, encrypted WebSocket communication.
5. Server VAD Turn Detection: Intelligent conversation flow handling for smooth interactions.
6. Opus Audio Compression: High-quality audio streaming with minimal bandwidth.
7. Global Edge Performance: Low latency Deno Edge Functions ensuring seamless global conversations.
8. ESP32 Arduino Framework: Optimized and easy-to-use hardware integration.
9. Conversation History: View your conversation history.
10. Device Management and Authentication: Register and manage your devices.
11. User Authentication: Secure user authentication and authorization.
12. Conversations with WebRTC and Websockets: Talk to your AI with WebRTC on the NextJS webapp and with websockets on the ESP32.
13. Volume Control: Control the volume of the ESP32 speaker from the NextJS webapp.
14. Realtime Transcripts: The realtime transcripts of your conversations are stored in the Supabase DB.
15. OTA Updates: Over the Air Updates for the ESP32 firmware.
16. Wifi Management with captive portal: Connect to your Wifi network from the ESP32 device.
17. Factory Reset: Factory reset the ESP32 device from the NextJS webapp.
18. Button and Touch Support: Use the button OR touch sensor to control the ESP32 device.
19. No PSRAM Required: The ESP32 device does not require PSRAM to run the speech to speech AI.
20. OAuth for Web client: OAuth for your users to manage their AI characters and devices.
21. Pitch Factor: Control the pitch of the AI's voice from the NextJS webapp to create cartoon-like voices.
22. Tool calling: Call tools from the ESP32 device to the Deno Edge Functions for a complete voice AI agent.

🛠 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

📈 Core Use Cases

🤖🤖🤖 Getting Started with multiple devices

High-Level Flowchart

flowchart TD
  subgraph UserLayer
    UserInput[User Speech Input]
    UserOutput[AI Generated Speech Output]
  end
  
  UserInput --> ESP32
  ESP32[ESP32 Device] -->|WebSocket| Edge[Deno Edge Function]
  Edge -->|OpenAI API| OpenAI[OpenAI Realtime API]
  Edge -->|Gemini API| Gemini[Gemini Live API]
  OpenAI --> Edge
  Gemini --> Edge
  Edge -->|WebSocket| ESP32
  ESP32 --> UserOutput

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Project Structure

graph TD
  repo[ElatoAI]
  repo --> frontend[Frontend Vercel NextJS]
  repo --> deno[Deno Edge Function]
  repo --> esp32[ESP32 Arduino Client]
  deno --> supabase[Supabase DB]

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

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⚙️ PlatformIO Config

[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: <2s round-trip globally
• 🎧 Audio Quality: Opus codec at 12kbps (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
• Optional: API Key encryption with 256-bit AES
• Supabase DB for secure authentication
• Postgres RLS for all tables

🚫 Limitations

• 3-4s Cold start time while connecting to edge server
• Tested with up to 17 minutes of uninterrupted conversations
• Edge server stops when wall clock time is exceeded
• No speech interruption detection on ESP32

🤝 Contributing

1. Looking for Speech Interruption detection on ESP32
2. Adding Arduino IDE support
3. Add Hume API client for emotion detection
4. Add MCP support on Deno Edge
5. Plug in ElevenLabs API for voice generation
6. Add Azure OpenAI Support (easy pickings)

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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If you find this project interesting or useful, drop a GitHub ⭐️. It helps a lot!