In recent years, rural China has developed rapidly, with many new villages emerging. However, a uniform, 'one-size-fits-all' approach to planning has led to the loss of unique village structures, fragmented social connections, and declining vitality.

I developed a machine learning tool that allows planners to input data on roads, topography, and rivers to generate diverse architectural layouts tailored to different rural settings. This tool helps analyze building-nature relationships and encourages collaboration among villagers, developers, and government officials, aiming to preserve the rural landscape and its community connections.