Pocket Field Trip: local AI with somewhere to stop

说明与用途

Pocket Field Trip 是一款帮助用户在短途散步中进行观察任务的应用，使用本地 AI 生成提示，浏览器中运行推理，并离线保存笔记，减少屏幕时间和数据使用。

问题

Users want a simple outdoor observation task without constant screen interaction or reliance on remote AI services.

结果

The app runs inference locally in the browser, matching user input to 20 observation cards using 384‑dimensional embeddings, and provides a regression‑tested note‑saving flow.

工作流

• 1. Open the browser app or Android build.
• 2. Choose a prompt from the observation card list.
• 3. Read the observation card and step away from the screen.
• 4. Return to the app to save a short note about what was observed.

证据

The project uses an open-weight text embedding model through Transformers.js and ONNX Runtime Web. Inference runs locally in the browser through WebAssembly.

来源

The published demo has been tested with real browser inference, producing 384-dimensional embeddings across a collection of 20 cards.

来源

The browser version is ready to try. Android testing is still based on an emulator, so I am not claiming broad physical-device validation.

来源