Generative AI based Interior Designing

This study proposes an innovative AI-powered platform that aims to transform traditional interior design procedures. By combining user input with powerful AI algorithms, the platform improves design workflows and creative flexibility. Users start by designing a basic room layout and placing necessary things, which are then intelligently mapped onto the space’s structure using ControlNet and Hough transformation techniques. This provides accurate representation and rapid design iterations. The platform provides users with straightforward object manipulation controls, allowing for more personalized environment creation. Furthermore, the combination of AI-generated designs, object removal using ResNet architecture, and object replacement via stable diffusion generative AI improves user interaction and happiness. Additionally, customers can estimate product costs thanks to interaction with the Google Shopping API. This holistic approach reimagines interior design techniques, combining user input with AI technologies to achieve greater creativity and efficiency in creating living spaces.