Dar’s Data: A Collaborative AI-Driven Framework for the Preservation and Generative Reinterpretation of Vernacular Heritage : Case Study of the Medina of Fez

A novel AI-driven framework, 'Dar’s Data,' demonstrates the potential to revolutionize the preservation and reinterpretation of vernacular heritage by integrating low-cost photogrammetry, 360° immersive visualization, and participatory sourcing. This approach goes beyond traditional static archiving, capturing the dynamic socio-architectural essence of living heritage sites like the Medina of Fez. The framework introduces 'heritage projection' through two modules: F’Darna, a gamified environment for intergenerational knowledge transmission, and Dar Ghdda, an AI-driven generative design concept that adapts traditional morphological rules for contemporary sustainable construction. A pilot implementation at Dar Seffarine validates the feasibility of this hybrid workflow, highlighting its potential to bridge historical documentation with future urban resilience.

Aahed, F.-Z. E., Zhar, M., Kelkoul, H., & Bendhiba, S. (2026). Dar’s Data: A Collaborative AI-Driven Framework for the Preservation and Generative Reinterpretation of Vernacular Heritage : Case Study of the Medina of Fez. 2026 IEEE International Conference on Complex Systems and Intelligent Computing (ICCSIC), 356–363. https://doi.org/10.1109/iccsic69301.2026.11521509