What problem does it solve?
This Skill helps you add practical AI features to Snap Spectacles lenses without guessing where the model should run, how voice should work, or how to connect cloud services safely and efficiently.
Core Features & Use Cases
- On-device ML with SnapML: Train, convert, and deploy lightweight vision models directly on-glass for low-latency interactions.
- Cloud AI via Remote Service Gateway: Connect lenses to LLMs, vision models, TTS, and STT without managing your own backend or API keys.
- Voice and backend integration: Design reliable ASR, TTS, Fetch API calls, Snap Cloud storage, and WebView flows for real-world lens experiences.
- Use Case: You are building a Spectacles lens that identifies objects, answers spoken questions, and stores user history in the cloud while keeping latency and privacy trade-offs under control.
Quick Start
Ask the skill to help you choose between SnapML and cloud AI for a Spectacles lens feature, then wire the recommended voice, vision, and backend flow into your app.