Geospatial AI Applications Fundamentals

Use APIs like Google Gemini with Maps grounding (or open alternatives like OpenStreetMap + LLMs).

Setup#

# Install SDK (e.g., for Gemini API)
pip install google-generativeai
import google.generativeai as genai

genai.configure(api_key="YOUR_API_KEY")
model = genai.GenerativeModel('gemini-pro')

Basic Place Query#

response = model.generate_content(
    "Find coffee shops near Golden Gate Bridge with outdoor seating.",
    tools='google_maps'

# Enable grounding
)
print(response.text)

# Grounded response with citations

For widgets: Retrieve and render interactive maps.

Simple App Example: Itinerary Planner#

1. User query: "Plan a day in Paris: Eiffel Tower, museum, dinner."
2. AI: Retrieves places, distances, hours; generates timed plan.
3. Output: Steps with maps links.

Code Snippet:

# Pseudo: Query API, parse places, calculate routes
places = maps_search("Eiffel Tower, Paris")
itinerary = f"Start at {places[0]} (opens {places[0].hours}), then {places[1]} (10min walk)."

Open-Source Alternative: Use Folium for maps + Hugging Face for AI.