FieldNote: An AI Nature Journal That Helps You Touch Grass 🌿

Описание и применение

FieldNote — это приложение, которое помогает людям проводить меньше времени за экраном и больше наблюдать природу, предоставляя структурированные записи и подсчёт наблюдений, сохраняя при этом оригинальные заметки.

Задача

Users spend too much time on screens instead of observing nature.

Результат

FieldNote enables users to spend less screen time and more time observing nature, providing structured journals and observation tallies while preserving original notes.

Рабочий процесс

• 1. User opens FieldNote app.
• 2. App presents outdoor observation missions (e.g., notice leaf patterns, bird calls).
• 3. User goes outside and records observations (details, sounds, colors, weather, optional photos/sketches).
• 4. App sends raw notes to AI endpoint.
• 5. AI processes notes into a structured journal entry and updates observation tally.
• 6. User reviews and saves the structured entry in the browser.

Доказательства

FieldNote is a nature journal built around one simple idea: spend less time looking at your screen and more time noticing the world around you.

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Once you're outside, you can record what you actually experienced, including surprising details, sounds, colours, weather, and optional photos or sketches.

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FieldNote can then help turn your raw observations into a structured journal entry while keeping your original notes available.

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During local development, FieldNote uses Ollama to run the open-weight Qwen 2.5 7B model on my own machine.

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To make a public demo possible, I added Cloudflare Pages Functions for the AI endpoints. The deployed version is configured to use Cloudflare Workers AI with Meta's Llama 3.2 3B Instruct model.

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