Mapping out Berlin's female history with Django and Leaflet.js
summary
Named After Women maps roughly 600 Berlin streets named for women (versus about 12,000 for men) and serves clickable markers with photos and short English biographies. Backend uses Django REST Framework with two models (District, Street), serializers that extract coordinates from Google Maps links, and admin KPIs tracking entries, photos and completion percentages across 12 districts. Front end is React with Leaflet.js for interactive maps. Project deploys live, avoids GeoDjango/PostGIS for now to reduce overhead.
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chapters (17)
- 0:00Introduction and welcome
- 1:57Speaker introduction and background
- 5:37Project goals and motivation
- 8:07Technical stack and tools
- 11:47Admin metrics and user experience
- 14:36Handling German umlauts in URLs
- 17:07Future plans and improvements
- 18:35Walking as urban exploration
- 20:45Q&A session begins
- 21:08Expanding to other cities
- 22:15AI and automation in content
- 24:02Gender recognition in street names
- 25:47Citizen science and collaboration
- 26:52Career path from social sciences
- 27:55Street name distribution patterns
- 29:21Advice for finishing side projects
- 30:48Closing remarks and next speaker
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