Global Journal of Engineering, Design & Technology
Open Access

Department of Management Information Systems, Bowie State University, Maryland, United States of America

Publications

• Review Article   
  The Role of Generative Artificial Intelligence in Solving the Housing Gap in the US for Low-Income Families
  Author(s): Adedotun Ademowo*
  
  The affordable housing crisis in the United States disproportionately affects low-income families, with millions facing severe housing cost burdens and limited access to adequate housing. This article explores the potential of generative Artificial Intelligence (AI) to address this housing gap by providing innovative, data-driven solutions that optimize housing development, design, and construction processes. By leveraging AI for predictive analysis, automated design, and construction optimization, stakeholders can significantly reduce costs, increase efficiency, and create sustainable housing that meets the needs of low-income populations. The article examines how AI can accurately predict future housing demand, generate efficient building designs, and streamline construction processes, while also addressing challenges such as equity, bias in AI models, and tech.. View More»
  DOI: 10.35248/ 2319- 7293.24.13.232

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