Open-source app uses AI to plan efficient walking routes for errands
A developer has created Errand Walker, a phone-first web app that plans efficient walking routes for multiple errands. The application uses a small open-weight AI model to interpret natural language shopping lists and structure them into errands. It then employs OpenStreetMap data to identify nearest locations and routing APIs to calculate optimal walking loops with estimated times. The tool was developed for a hackathon challenge and currently supports English and some Indonesian input while operating without requiring API keys or sharing user data.
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