High-Rise allotment garden is an 800 people multi-family housing project that aims to combine green space and living space in a non-rhetorical way using green space as an integral part of the domestic typology. Living units, gardens, and working spaces integrate seamlessly into each other while keeping privacy altogether. Our design research also focused on southern Italy's rich architectural, historical, social, and economic background while still considering contemporary developments around the world. With an emphasis on the analytical and generative potential of Machine Learning (ML), we explored the relationship between different garden living forms and possible applications of prefabricated modular BCORE slab systems made in China.

The prefab modular system set our standards in constructing our project boundary. The radiation model analysis aided our design in defining the outdoor and indoor spaces. We then used Machine Learning to transform output footprints into floorplans. The Wave Function Collapse algorithm aggregates the whole building topology. The final step is optimisation using the analytic and evolutionary engine Wallacei. The result is a new building typology that aims to rethink housing as an industrial product while positioning architecture as the design engine which automates the assembly to specific spatial and programmatic patterns.