How ChatGPT AI Helped Me Create Maps Effortlessly
In this video, you will learn how to use ChatGPT to create maps instantly.
In this tutorial, the ChatGPT model retrieves data from web searches based on a specific request and then generates a spatial map using the Folium library in Python. Chatgpt leverages its reasoning model (ChatGPT-03) to analyze and select the most relevant data, even when conflicting information is present. Here’s what you’ll learn in this video:
0:00 - Introduction
0:45 - A step-by-step guide to creating interactive maps with Python
4:00 - How to create the API key in FOURSQUARE
5:19 - Initial look at the Result
6:19 - Improving the prompt
8:14 - Final Results
Prompt :
Create an interactive map centred on Paris, France, showcasing a variety of restaurants and landmarks.
The map should include several markers, each representing a restaurant or notable place. Each marker should have a pop-up window with details such as the name of the place, its rating, and its address.
Use python requests and foliumUse Foursquare Place Search get Api https://api.foursquare.com/v3/places/searchdocumentation can be found here : https://docs.foursquare.com/developer/reference/place-search
Keywords:
Foursquare API for mapping, Python interactive maps, GIS with Python, Foursquare place search API, Folium mapping tutorial, Python map visualization, AI for location data, Python data science for mapping, OpenStreetMap with Python, Python geospatial analysis, restaurant mapping with Python, location-based services in Python, interactive maps with Folium, Python GIS tutorial, Foursquare API vs Google Maps API, Foursquare API tutorial, Python web mapping, Python geocoding tutorial, Python location-based visualization, mapping restaurants in Paris, Paris tourist map with Python, adding landmarks to maps in Python
Comments
Post a Comment