In recent years, housing has become hard to access due to high prices and increasing population numbers. As this problem grows, the housing crisis gains more and more attention. This project attempts to explore an efficient way to tackle this crisis by designing an application that will allow users to design their own house.

The project is divided into two parts, including the application design and architecture design. In both parts, the research focusses on computational design methods, interactive application design, and self-generating architecture.
At the architectural scale, the design process can be subdivided into four parts: site selection, house unit design, cluster design, and community design. For each part, the generation rules and logic are designed in order to produce the layout automatically.

Firstly, in the site selection process, information on land and facilities is collected with python. This information is used to quantify the different facilities around each land area in order to identify potential sites. Secondly, once the site selection is made, the design begins with a bottom up logic. The house unit design is generated by the input of basic information and specific demands of users. Thirdly, clusters are determined by collecting similar house units based on user demands – for example, a cluster may consist of units that share the same demand for kitchen sharing. Finally, the community consists of a group of clusters and public spaces, including gyms, supermarkets, gardens, and offices.

Housing Prime designs a logic to shape the community naturally and gradually. The strategy could also be adapted to urban scale. The project generates the linkage between different buildings to achieve the urban resilience.