Social-economic Data Scraping and Mapping refers to the collection of demographic, economic, and social indicators from diverse digital sources, such as government open data portals, census databases, online platforms, and statistical reports. Their integration into geospatial frameworks for analysis.
Utilizing advanced deep learning techniques to analyze diverse data sources, including street view imagery, Flickr, and Google Reviews, to gain nuanced insights into urban environments.