| dc.description.abstract | AI has revolutionized interior design, offering
innovative tools for creating visually appealing and
healthier spaces through applications. Even with this
progress, many existing applications are not well-suited to
specific local needs, particularly in developing markets. In
Sri Lanka, interior designers frequently use 3D modelling
software and AI-based mobile applications. However, these
applications often suggest international and expensive
designs that lack local relevance. This research investigates
the challenges users experience with these applications in
the Sri Lankan context and aims to develop an AI-based
mobile application tailored specifically for local interior
design needs. Primary data were gathered through a survey
conducted on social media platforms, targeting interior
designers and clients in Sri Lanka. The collected survey
responses were analyzed using quantitative statistical
methods to gain insights into Sri Lankan interior design
preferences and needs. Additionally, qualitative secondary
data from published research articles were used to provide
context and support the findings. The survey highlighted
significant challenges, including the high costs of
recommended designs and a lack of locally relevant design
options. Furthermore, respondents expressed a need for
features such as local furniture recommendations and
budget planning tools. In response to these challenges, this
paper proposes an AI-based mobile application that includes
these essential features. This proposed application aims to
provide more efficient and locally relevant interior design
options tailored to Sri Lankan interior design industry.
Future improvements could enhance advanced
customization and predictive features through machine
learning and user data analysis, further improving the application's effectiveness and user satisfaction | en_US |
