◉Research
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The AI for Housing study was conducted as a research initiative at CEPT University, Ahmedabad to decode the housing logic of Charles Correa and replicate it through advanced technology.
Team:
Keshava Narayan, Ashish Tiwari
Scope
Our research involved rethinking computational design models for housing. We focused on translating legendary architect Charles Correa’s “Courtyard and Terrace” logic into generative algorithms, aiming to create high-density, high-quality living spaces for urban India.
Challenges
Quantifying the “unmeasurable” qualities of Correa’s architecture—such as the relationship between open and closed spaces—was a primary hurdle. We had to develop a unique dataset of spatial rules that could be understood by computational models.
Innovation
By integrating AI with parametric design, we produced a model that can generate thousands of valid housing configurations in seconds. Each output respects environmental orientation and social privacy rules, demonstrating a path toward automated, high-fidelity urban design.
