This article explores the intersection of traditional Uzbek ikat weaving (atlas and adras) and machine learning technologies. As global interest in preserving and digitizing cultural heritage grows, machine learning offers new tools for understanding, cataloging, and regenerating traditional textile patterns. By analyzing the symmetrical, symbolic, and color-based structures of Uzbek ikat, machine learning models can assist artisans, designers, and cultural institutions in sustaining and expanding the legacy of handwoven patterns. The study also draws parallels with AI-integrated craftsmanship methods in countries such as India, Iran, and Turkey, where technology now coexists with centuries-old weaving traditions.

Uzbek ikat, machine learning, artificial intelligence, cultural preservation, pattern recognition, atlas, adras, textile innovation.

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