Inspiration

The whole project was inspired not only from my academic focus on machine learning, but also cooperation with geographers recently to work on research projects.

What it does

This helps people find locations of institutions that benefit their well-being, such as hospitals, clinics, pharmacies, and fitness centers. There are two (2) main parts. The first part simply asks for a location in text (city is enough) and displays an interactive map with found locations marked down. A distance radar chart of the top 5 closest locations is also displayed for filtering. The other part does the same thing conceptually, but this time an NLP model is used to recognize organization and location entities from potentially longer texts e.g. memo.

How we built it

The most important components were several Google Cloud APIs: Geocoding, Places, Distance Matrix.

Challenges we ran into

Using so many different tools and libraries.

Accomplishments that we're proud of

The app works without complications!

What we learned

Google Cloud APIs for geography and the gcloud CLI tool.

What's next for Heal Map

Add more advanced markers with metadata such as website and hours of operations.

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