LAUSR

Abstract This manuscript illustrates the computational intelligence used in indoor environmental art design to enhance the natural living environment and increase the quality of life for residents. The framework is responsible for indoor environmental art ecological design concepts of three areas of environmental coordination, reprocessing and people-oriented planning and development. These design concepts are paying attention to the development of ecological architecture, protecting the environment material implementation, and the natural environment, to provide designers with certain new concepts of the art design. The indoor environmental art design characteristics such as a reasonable plan to build indoor, rational, and scientific spaces, using artistic creativity to create an indoor environment to preserve and ensure the safety of the rational activity. In this framework, the Hybrid Conformal Prediction Algorithm Framework (HCPAF) used to achieve the features of the indoor environmental art design. In the interior design process, designers require to learn something about the needs of the consumer by incorporating the idea of sustainable products into the architecture. Artificial intelligence helps to improve the creativity of designers by taking care of the continuous development that saves designers ‘energy and time to create ideas in HCPAF. Concerning the environmental dimensions of city building, the interior architecture of urban design is ultimately the essential material. The environmental art design is aimed at human living spaces where the reasonable and extensive use of resources is avoided, that the natural environment, the social environment, is artistically used. The simulation analysis of the proposed method gives the result of design accuracy as 98%, design execution as 92%, and the error rate of 6% has been evaluated.