Machine Learning (ML), a subset of Artificial Intelligence (AI), is gaining popularity in the architectural, engineering, and construction (AEC) sector. This systematic study aims to investigate the roles of AI and ML in improving construction processes and developing more sustainable communities. This study intends to determine the various roles played by AI and ML in the development of sustainable communities and construction practices via an in-depth assessment of the current literature. Furthermore, it intends to predict future research trends and practical applications of AI and ML in the built environment. Following the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines, this study highlights the roles that AI and ML technologies play in building sustainable communities, both indoors and out. In the interior environment, they contribute to energy management by optimizing energy usage, finding inefficiencies, and recommending modifications to minimize consumption. This contributes to reducing the environmental effect of energy generation. Similarly, AI and ML technologies aid in addressing environmental challenges. They can monitor air quality, noise levels, and waste management systems to quickly discover and minimize pollution sources. Likewise, AI and ML applications in construction processes enhance planning, scheduling, and facility management.

Technology, available materials, economy, culture and host of other factors influence man’s dwelling and play important roles in determining the type of building he inhabits. However, little research has been carried out in order to determine the influences of culture on both traditional and modern architecture in Nigeria. The aim of this research project, therefore, is to determine and compare the influences of culture on the traditional and modern building types in Nigeria using Ijebu-Ode as a case study. Questionnaires were randomly administered both in Ita-Alapo and Obalende representing traditional and modern areas of the town respectively. Also, building typologies were randomly selected in both areas and were compared in terms of building quality, form and techniques. The results gathered were then analyzed descriptively with the use of tables and charts showing their frequencies, mean and rank. The analysis revealed that while security was the first factor that influences the types of building in the modern area (Obalende), it was the people’s family structure that determines their building type in the traditional area (Ita-Alapo). The research concluded by recommending that Nigerian architects should always endeavor to consider and incorporate the people’s culture into their designs, especially when designing where they will live.

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