I Built WanderWise: A Local-First AI Planner That Wants You to Close the Screen

Описание и применение

Приложение WanderWise использует локальную модель embeddings, чтобы быстро и приватно рекомендовать короткие прогулки, уменьшая время, проведённое за экраном.

Задача

People find it hard to turn the advice “go outside” into a concrete, actionable plan, leading to more screen time and indecision.

Результат

The app delivers a single, actionable outdoor plan that users can copy and immediately act on, reducing screen time and encouraging real-world activity.

Рабочий процесс

• 1. User enters intent, time, company, weather, energy. 2. Browser loads MiniLM embeddings via Transformers.js. 3. Intent and activity descriptions are embedded. 4. Cosine similarity scores activities. 5. Hybrid ranking adds constraint scores (duration, weather, energy, company). 6. Top activity is presented with three timed steps, gear list, safety cue, and copy button. 7. User copies plan and closes the tab.

Доказательства

WanderWise AI turns a sentence such as “I need a calm reset after work and I have one hour” into a small, practical outdoor plan.

Источник

The model runs in the browser. It converts the user's natural-language intention and each activity description into normalized 384-dimensional embeddings.

Источник

This split gives the model the job it is good at—understanding intent—while ordinary code handles time, conditions, and safety.

Источник