Artificial Intelligence based Mobile Application for Interior Design in Sri Lanka

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