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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63461
Volume:
10 |
5 |
May 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
MASTER OF COMPUTER APPLICATIONS
BAPUJI INSTITUTE OF ENGINEERING AND TECHNOLOGY DAVANGERE
MASTER OF COMPUTER APPLICATIONS
BAPUJI INSTITUTE OF ENGINEERING AND TECHNOLOGY DAVANGERE
The textile sector is working towards optimizing creativity efficiency and market effectiveness. Thus, the system that is going to be proposed will incorporate an “AI Based Fashion Design Assistant” that will be one of those innovative systems that can increase the efficiency levels of a human fashion designer. Fashion Design Assistant system-this system is an application that utilizes AI to increase the efficiency levels of a human fashion designer. The human fashion designer applies this system by providing some parameters like type of fabric colors type of designs and also according to customer preferences. Based on this input the AI generates high fidelity digital designs that can be immediately visualized and iteratively modified drastically reducing the traditional reliance on time consuming and resource intensive physical sampling. Such an approach towards going digital has the inherent benefit of increased efficiency in terms of material use and time. Moreover, it also has an advanced trend analysis model. It can analyze world wide fashion trends and demands to predict what will be in vogue in the forthcoming period hence providing designers priceless suggestions to steer clear of overproductions.
KEYWORDS
The AI-Based Fashion Design Assistant highlights the capabilities of artificial intelligence and computer vision for revolutionizing the fashion sector with automation innovation and customization. By bringing together the functionality of image recognition pattern identification and design generation this assists in providing a smart interface where the designer/consumer can readily identify the design style. Through the integration of deep learning and insights from data the system identifies fashion trends and also indicates compatible color schemes. Furthermore it that the value of the growing contribution of AI is also well understood in this context because the advancement in technology was not about substitution but about addition or improvement concerning the creativity capabilities an individual human being possesses. The Accuracy of this project is 85% to 90%. In conclusion AI-Based Fashion Design Assistant accomplishes its task in the conception and development of smart efficient and interactive fashion design software for the AI-Based Fashion Design system effectively.
1. Karras T. Laine S. and Aila T. (2019). A style-based generator architecture for generative adversarial networks (StyleGAN). 2. Ho J. et al. (2020). Denoising Diffusion Probabilistic Models. (NeurIPS): State-of-the art generative model for high-fidelity 2D/3D design and creative ideation in fashion. 3. Zhang H. et al. (2024). An application of generative AI for knitted textile design in fashion. (Int. J. Fashion Design Tech. & Ed.): 4. Rissanen T. & McQuillan H. (2018). Zero Waste Fashion Design. (Bloomsbury Academic): Essential text defining the principles. 5. Park H. et al. (2023). Harnessing Generative AI for Sustainable Fashion: Optimizing Zero-Waste Pattern Layouts. (J. Sustainable Design & Tech.): Research focusing on AI algorithms constrained to automatically minimize fabric waste in marker layouts. 6. Harreis H. et al. (2023). Generative AI: Unlocking the future of fashion. (McKinsey & Co.): High-level report framing the operational benefits of AI including reducing overproduction and speeding time-to-market.
Publication Date
5/19/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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