elizabethsiegle/bike_walk_route_map_generator
📦 Open Source Projectelizabethsiegle
Generate optimized walking and biking routes through city landmarks using Llama 3.1 and Cloudflare Workers AI.
The bike_walk_route_map_generator is a Python-based application that integrates several modern AI and mapping technologies to solve complex routing problems. At its core, the tool uses the Llama 3.1 model hosted on Cloudflare Workers AI to interpret user requests and identify relevant landmarks within a specified city. LangChain is utilized to handle prompt templates and ensure the AI output is parsed into a clean, comma-separated list of destinations. Once the landmarks are identified, the application uses Mapbox APIs to retrieve precise geographic data. Finally, the project employs Folium to generate and render an interactive map, allowing users to visualize their optimized route. This combination of LLM-based reasoning and traditional geospatial libraries provides a streamlined way to plan walking or biking trips.
💡Highlights
- ├─Llama 3.1 route optimization
- ├─Mapbox and Folium integration
- └─LangChain structured output
🎯For
- ├─Geospatial developers
- └─AI application builders