DecorMate – AI powered Interior Design and Product Recommendation System
Author(s): Dr. Arokia Priya Charles, Khushi Kalankar, Apurva Gadekar, Madhura Shinde
Authors Affiliations:
- Head of Department, Department of Semiconductor Engineering, D Y Patil International University, Pune, India
- Student, Department of Electronics and Telecommunication Engineering, Dr. D.Y. Patil Institute of Engineering, Management and
Research, Pune, India - Student, Department of Electronics and Telecommunication Engineering, Dr. D.Y. Patil Institute of Engineering, Management and
Research, Pune, India - Student, Department of Electronics and Telecommunication Engineering, Dr. D.Y. Patil Institute of Engineering, Management and
Research, Pune, India
Making interior design decisions can be challenging and expensive when there is no way to preview the outcome beforehand. This idea introduces DecorMate, an AI powered Interior Design and Product Recommendation System that helps users visualize their rooms and receive tailored product suggestions. Users can upload a photo of their room, and the system generates a redesigned version in the chosen style using a stable diffusion model. It also recommends matching furniture and decor items, including options available within the user’s budget and contact details of nearby home decor vendors. The web-based interface is designed to be simple and interactive, enabling image upload, design viewing, and product exploration. This project offers a practical and accessible tool that streamlines decision-making, reduces design errors, and turns digital ideas into real-world solutions.
Dr. Arokia Priya Charles, Khushi Kalankar, Apurva Gadekar, Madhura Shinde (2025); DecorMate – AI powered Interior Design and Product Recommendation System, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-11, Issue-12, Pp.114-121. Available on – https://www.ijirmf.com/
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