Leveraging AI Language Models for Designing Contextually Responsive Built Environments

This paper examines the potential use of artificial intelligence models to create contextually responsive built environments. The study introduces the ‘AI Arch Analyzer application,’ leveraging modern artificial intelligence tools. The application enables users to capture images of their surroundings, which are then analyzed to generate design recommendations that resonate with the socio-cultural and physical context of the Middle East. Employing Research through Design (RtD) methodology, this study explores the integration of User Interface, Image Analyzer, and AI-powered chatbot components to facilitate an interactive and user-driven design process. The app utilizes On-Device Machine Learning (ML) for image analysis and text generation, enriching the architectural design process with contextual insights. Furthermore, the paper discusses the development and testing phases of the app, highlighting the significance of incorporating AI to support architects in creating designs that are both innovative and contextually relevant. Our findings underscore the potential of AI and ML technologies to revolutionize architectural practices, offering a new paradigm for contextual design in architecture. Through this research, we demonstrate the feasibility and benefits of integrating computational tools into the architectural design process, providing a foundation for future studies on the application of technology in achieving culturally and environmentally harmonious designs.