Authors: Ashutosh Kale, Swapnil Yeole, Onkar Sonawane, Jayesh Wani, Vedant Rajput
Abstract: This analysis paper examines ResiPlan AI, an intelligent web-based system designed to automate residential floor plan generation using artificial intelligence and machine learning techniques. The system addresses significant barriers in traditional architectural design—such as high cost, complexity, and reliance on expert knowledge—by enabling non-expert users to generate optimized 2D and 3D layouts through simple inputs like plot size, room count, and architectural style. By integrating Stable Diffusion 1.5 with ControlNet, ResiPlan AI ensures structural adherence while maintaining creative flexibility. This paper critically evaluates the system’s architecture, technical approach, limitations, and future potential, positioning it within the broader context of generative AI in architectural design.
DOI: http://doi.org/10.5281/zenodo.20766823
