TrailMate AI: Turn Screen Time into Green Time 🌿

Description and use

TrailMate AI generates personalized outdoor activity plans, helping users spend less time online and more time in nature.

Problem

Users spend too much time scrolling instead of exploring outdoors.

Outcome

TrailMate AI provides a personalized outdoor activity plan, encouraging users to spend less time on screens and more time exploring nature.

Workflow

• 1. Define user inputs: available time, fitness level, interests.
• 2. Build frontend with HTML, CSS, JavaScript.
• 3. Implement backend using Python and FastAPI.
• 4. Integrate local inference with Ollama and an open-weight language model via Codex assistance.
• 5. Write automated tests and configuration examples.
• 6. Run test suite (14 tests passed).
• 7. Deploy locally and verify user experience.
• 8. Iterate on prompts and model selection to improve plan quality.

Evidence

TrailMate AI is an AI-powered outdoor adventure planner designed to help people spend less time scrolling and more time exploring the real world.

Source

I used Codex to help build TrailMate AI with HTML, CSS, and JavaScript for the frontend, Python and FastAPI for the backend, and Ollama for local inference with an open-weight language model.

Source