I Built TouchGrass AI: A Little Less Scrolling, A Little More Outside

说明与用途

一个轻量级网页应用，使用本地 Qwen 2.5 1.5B 模型通过 Ollama 生成户外活动建议，鼓励人们减少屏幕时间。

问题

People spend too much time on screens and need simple ways to encourage outdoor activity.

结果

The app provides quick, personalized outdoor activity ideas without relying on paid APIs, demonstrating how local open-weight models can power web experiences.

工作流

• 1. User visits the web app
• 2. User inputs mood, available time, and preferred setting
• 3. JavaScript sends input to local Qwen 2.5 1.5B model via Ollama
• 4. Model generates activity suggestions
• 5. Suggestions are displayed to the user

证据

It is a simple web app that suggests outdoor activities based on a user's mood, available time, and preferred outdoor setting.

来源

The app uses HTML, CSS, and JavaScript for its interface and connects to a locally running Qwen 2.5 1.5B open-weight model through Ollama to generate suggestions.

来源

Running an open-weight model locally helped me learn how AI can be integrated into a web app without relying on a paid hosted AI API.

来源