Deep seek AI has gained significant media attention, but its practical applications in architecture and urban design are being tested. The speaker shares a student project involving urban and landscape design in Texas, focusing on flooding and sea level rise. Using deep seek, design instructions were produced, along with citations from various resources, demonstrating a thorough data collection process. This AI tool also generated accurate GIS data sources and interactive charts, although some coding challenges arose. Overall, deep seek has shown potential to enhance design projects with reliable data-driven insights.
Deep seek AI is creating buzz in architecture and urban design discussions.
Deep seek illustrates its reasoning process, aiding design understanding.
Deep seek identifies NOAA GIS data for sea level rise analysis.
Interactive map generated showing US cities affected by sea level rise.
Challenges faced creating a working interactive map for Gulf of Mexico.
Deep seek AI's application in environmental design is significant, particularly regarding climate resilience. Its capability to source reliable GIS data is crucial for understanding local environmental challenges, such as flooding and sea level rise, which are pressing issues in urban planning today. The synthesis of academic research with real-time data can enhance decision-making for sustainable development projects.
The analytical features of deep seek in providing accurate design frameworks and citations represent a step forward in AI-assisted decision-making. However, the tool's limitations in generating working code emphasize the importance of user proficiency in programming, which remains a barrier for many practitioners in the field. The blend of data reliability with user-friendly outputs is key to expanding the tool's usability.
Deep seek provides design instructions and walks users through its reasoning, enhancing the understanding of the design process.
The tool provided accurate GIS data sources relevant to flooding and sea level rise.
Deep seek generates Python code to visualize data trends regarding sea level rise.
NOAA is referenced for its reliable GIS data related to climate change and sea level rise metrics.
Mentions: 1
Dr Amina Yonis 8month