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@article{199223,
        author = {Rakshitha Jain and Sejal and Swathi and Sonal and Dr.Babu Rao k},
        title = {Inspira Decora: AI-Powered Interior Redesigning Solutions},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {13004-13010},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199223},
        abstract = {By facilitating automation, personalisation, and quick visualisation, artificial intelligence (AI) is progressively changing the creative industries. However, interior design is still mostly dependent on manual procedures, professional consultations, and lengthy iterations, which makes it expensive and unavailable to many consumers. Current digital design tools frequently offer static templates with little flexibility to accommodate user preferences and real-world settings.
Inspira Decora, an AI-powered interior redesigning platform, is presented in this article. Users can create customized interior designs by just uploading pictures of their spaces and choosing their favourite styles. In order to analyse spatial information and provide photorealistic redesign outputs that meet user criteria, the system makes use of generative AI models. Using contemporary frameworks, a full-stack web architecture is implemented to guarantee scalability, responsiveness, and usability.
Secure user identification, cloud-based picture storage, credit-based service access, and an easy-to-use dashboard for managing design projects are some of the platform's key features. Inspira Decora speeds up the design decision-making process and lessens reliance on professional designers by combining AI-driven image production with a user-centric interface.
A key feature of the platform is local deployment, which ensures cost- effectiveness, and independence from cloud services. A detailed literature review highlights major limitations in current AI marketplaces, such as limited customization, high infrastructure costs, reliance on generic models, and lack of support for non- technical users. By integrating automated data generation, parameter- efficient fine-tuning, and an intuitive interface, the proposed system enables both technical and non-technical users to build and deploy task- specific assistants easily.
By offering quick, inexpensive, and aesthetically pleasing redesign ideas, the suggested method shows how AI may democratise interior design. Improved usability, effective performance, and great satisfaction in creating personalised interior designs are demonstrated by experimental findings and user comments, making Inspira Decora a useful option for both homeowners and design experts},
        keywords = {By facilitating automation, personalisation, and quick visualisation, artificial intelligence (AI) is progressively changing the creative industries. However, interior design is still mostly dependent on manual procedures, professional consultations, and lengthy iterations, which makes it expensive and unavailable to many consumers. Current digital design tools frequently offer static templates with little flexibility to accommodate user preferences and real-world settings. Inspira Decora, an AI-powered interior redesigning platform, is presented in this article. Users can create customized interior designs by just uploading pictures of their spaces and choosing their favourite styles. In order to analyse spatial information and provide photorealistic redesign outputs that meet user criteria, the system makes use of generative AI models. Using contemporary frameworks, a full-stack web architecture is implemented to guarantee scalability, responsiveness, and usability. Secure user identification, cloud-based picture storage, credit-based service access, and an easy-to-use dashboard for managing design projects are some of the platform's key features. Inspira Decora speeds up the design decision-making process and lessens reliance on professional designers by combining AI-driven image production with a user-centric interface. A key feature of the platform is local deployment, which ensures cost- effectiveness, and independence from cloud services. A detailed literature review highlights major limitations in current AI marketplaces, such as limited customization, high infrastructure costs, reliance on generic models, and lack of support for non- technical users. By integrating automated data generation, parameter- efficient fine-tuning, and an intuitive interface, the proposed system enables both technical and non-technical users to build and deploy task- specific assistants easily. By offering quick, inexpensive, and aesthetically pleasing redesign ideas, the suggested method shows how AI may democratise interior design. Improved usability, effective performance, and great satisfaction in creating personalised interior designs are demonstrated by experimental findings and user comments, making Inspira Decora a useful option for both homeowners and design experts},
        month = {April},
        }