Urban Insights Initiative
Overview
Developed tools integrating geospatial analysis and computer vision to generate actionable insights for sustainable urban planning. The project focused on optimizing resource allocation and improving urban development decisions.
Key Features
- Geospatial Analysis: Provided tools to assist urban planners in site selection and resource optimization.
- Computer Vision Integration: Utilized OpenCV for analyzing street-level imagery and urban infrastructure.
- Comprehensive Mapping: Developed detailed urban maps using OSMnx and NetworkX.
Tools Used
- Programming Languages: Python
- Libraries/Frameworks: OpenCV, OSMnx, NetworkX