Outside, briefly: a tiny offline AI coach for getting off the screen

Описание и применение

Приложение Outside, briefly генерирует короткие планы прогулок на основе описания настроения, используя локальный классификатор Naive Bayes, и позволяет пользователю быстро перейти к действию, минимизируя время на экране.

Задача

Many wellness apps encourage walking but keep users checking their phones, making the planning step long and intrusive.

Результат

The app delivers a short, actionable outdoor mission with transparent decision logic, enabling users to reduce screen time during planning.

Рабочий процесс

• User enters a mood sentence and time availability
• Local Naive Bayes classifier tokenizes input and predicts mission type
• Interface displays matched words for transparency
• Mission steps are assembled and adjusted for time and accessibility
• Resulting mission card is shown and can be printed or saved
• User leaves the browser and follows the mission outdoors

Доказательства

I built Outside, briefly, a small outdoor activity planner. You describe your mood in a sentence, choose how much time you have, and get a short mission that sends you outside.

Источник

The AI core is a transparent, locally trained multinomial Naive Bayes classifier. Forty labeled example phrases in model.js teach it the four outing types.

Источник

The app is plain HTML, CSS, and JavaScript with no build step or API key. A service worker caches its files after the first visit, allowing the same flow to work offline.

Источник

I tested all four model intents and the 10-minute accessible mission in automated tests. I also used the live site in Chrome with a gardening prompt and confirmed that it produced the care mission.

Источник