Machine Dreaming

This project investigated Style-GAN as a generative design tool. By training the network on architectural photographs from Los Angeles and Chicago, we produced interpolations that blended modernist skyscrapers with Art Deco ornamentation.

The results reveal how generative models can uncover latent architectural styles and propose new hybrid aesthetics. Applications include concept generation, urban morphology studies, and speculative visualization.

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Crack Detection Algorithm

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Linear Algebra for Machine Learning Project: Bezier Curve