# Building a Vision AI Assistant with Meta AI Glasses, Flutter, and Gemini

> Source: <https://dev.to/vmodal_ai/building-a-vision-ai-assistant-with-meta-ai-glasses-flutter-and-gemini-3k7i>
> Published: 2026-09-17 18:34:28+00:00

A useful smart-glasses pattern is:

```
Glass Camera
    |
    v
Flutter Companion App
    |
    v
Secure AI Backend
    |
    v
Vision Model
    |
    v
Answer
    |
    v
Flutter / Audio Output
```

The same architecture can be adapted to different wearable devices and AI providers.

Your native wearable integration should provide image data to the Flutter layer.

```
Future<void> onFrame(Uint8List bytes) async {
  final result = await assistant.analyze(bytes);
  print(result);
}
class VisionAssistant {
  Future<String> analyze(Uint8List image) async {
    // Send the image to your secure backend.
    return 'Detected objects and scene description';
  }
}
```

A backend endpoint might look like:

```
POST /vision/analyze
Content-Type: multipart/form-data
image=<frame>
```

The backend authenticates the user and calls the selected Gemini/vision model.

Do not place production AI credentials directly in the Flutter application.

Instead of processing every camera frame:

```
30 FPS camera
      |
      v
Frame sampling
      |
      v
1-3 relevant frames/sec
      |
      v
AI inference
```

Use event-based capture where possible, such as a user request or scene change.

```
Future<void> speak(String answer) async {
  // Connect to your preferred TTS implementation.
}
```

The final experience can therefore be:

```
User asks a question
        ↓
Glasses capture context
        ↓
AI analyzes image
        ↓
Answer generated
        ↓
TTS speaks answer
```

Combining wearable capture, Flutter, and a vision model can create hands-free AI assistants while keeping the mobile application responsible for UI, state, and connectivity.

Website: [www.v-modal.com](http://www.v-modal.com)

SDK Flutter: [https://github.com/v-modal/vmodal_sdk_flutter](https://github.com/v-modal/vmodal_sdk_flutter)

SDK Android: [https://github.com/v-modal/vmodal_sdk_android](https://github.com/v-modal/vmodal_sdk_android)

Discord: [https://discord.gg/K72z28KUx](https://discord.gg/K72z28KUx)