Use Of Generative Artificial Intelligence In Sustainable Affordable Housing Projects In Iraqi Cities

Authors

  • Adnan Ibrahim Abdullah Author
  • Prof. Dr. Areaj khairy Alrawi Author

DOI:

https://doi.org/10.64252/77kx1z33

Keywords:

housing, affordable housing, sustainable, artificial intelligence, Low-income households

Abstract

With regards to Iraqi city housing market problems, the research "The Use of Generative Artificial Intelligence in Sustainable Affordable Housing Projects in Iraqi Cities" aims to identify the role of generative artificial intelligence to improve sustainable affordable housing projects. The research addresses how the techniques of this artificial intelligence are utilized in designing and planning low-cost housing projects, which assist in reducing the costs of these projects as well as their inefficiency. The research scrutinizes a range of uses of generative AI in affordable housing projects, such as enhancing space planning, population demand forecasting, resource management, and energy usage, and the provision of creative solutions to environmental and resource savings issues to achieve sustainability.

The results indicate that applying generative AI techniques can be a qualitative jump in the implementation mechanism of low-cost housing projects, helping to meet the demands of Iraqi society and minimize the cost of low-cost housing projects.

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Published

2025-07-02

Issue

Section

Articles

How to Cite

Use Of Generative Artificial Intelligence In Sustainable Affordable Housing Projects In Iraqi Cities. (2025). International Journal of Environmental Sciences, 1420-1429. https://doi.org/10.64252/77kx1z33