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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 12 Issue: 05 | May 2025

p-ISSN: 2395-0072

www.irjet.net

“AI Think and Future Fashion” Varsharani Shelke1, Akanksha Awale2, Disha Khose3 , Prof. V M Mhalgi4 1,2,3U.G Student, 4Assistant Professor

Department of Computer Science and engineering Shree Tuljabhavani College Of Engineering Tuljapur. ---------------------------------------------------------------------***-------------------------------------------------------------------1.1 Clothing Abstract - Virtual try-on systems have become transformative tools in the fashion and beauty industries, allowing users to digitally experience clothing, cosmetics, and accessories before making a purchase. This paper introduces Tryzura, a comprehensive and intelligent virtual try-on framework that leverages advanced machine learning and computer vision technologies to deliver highly realistic and personalized simulations. The system incorporates deep learning techniques for body segmentation, pose estimation, and facial recognition, ensuring precise alignment of garments, accurate makeup rendering, and seamless accessory placement. By overcoming technical challenges such as texture fidelity, color consistency, and user-specific customization, Tryzura creates a smooth and immersive try-on experience. Experimental results on diverse datasets confirm the effectiveness of the proposed framework in generating lifelike outputs across a wide range of fashion and beauty products. This work underscores the potential of Tryzura to enhance customer engagement, reduce product returns, and redefine the future of online shopping.

The clothing engine within Try-zura transforms digital shopping into an interactive, lifelike experience by utilizing real-time camera input. Whether through a snapshot or continuous video, the system reconstructs the user’s form using advanced pose detection and three-dimensional body modelling . This precise mapping ensures garments contour naturally to various body types, accounting for shape, posture, and motion. Enhanced by dynamic fabric simulation, Try-zura reproduces the authentic flow, weight, and feel of different materials, giving users a realistic preview that extends beyond static images. Users can actively engage with their virtual mirror—rotating views, zooming in on fit details, and examining how garments respond to movement. By analyzing the user's unique body metrics from the camera stream, Tryzura also provides intelligent size guidance, tailored to individual proportions. This not only boosts user confidence but also reduces the likelihood of size-related returns.

1.INTRODUCTION

Beyond the user experience, the module offers tangible benefits to retailers. With integrated analytics, Tryzura captures style preferences and behavior patterns, enabling smarter inventory decisions and hyper-personalized recommendations. Ultimately, this module acts as a digital bridge between screen and store, making fashion discovery smoother, smarter, and more enjoyable for all.

Virtual try-on systems are revolutionizing the fashion and beauty industries by enabling users to digitally preview clothing, makeup, and accessories, fostering a more interactive and personalized shopping experience. This project presents Try-zura, a next-generation virtual try-on solution that integrates cutting-edge advancements in computer vision, deep learning, and augmented reality to generate lifelike visualizations of fashion and beauty products. Through sophisticated techniques such as pose estimation, facial mapping, and 3D rendering, Try-zura delivers highly accurate and realistic simulations, allowing users to explore diverse styles and make confident, informed purchase decisions. By tackling critical challenges like fit uncertainty, high return rates, and limited customer engagement, Try-zura significantly elevates the online shopping experience. In addition, it provides substantial value to e-commerce and retail platforms by boosting customer satisfaction and reducing operational overhead. Designed with performance, privacy, and scalability in mind, Tryzura stands as a reliable and future-ready solution for the evolving digital commerce landscape.

Impact Factor value: 8.315

1.2 Make-up & Accessories The makeup and accessory components of Tryzura elevate the virtual styling experience by offering a strikingly realistic and responsive digital transformation. The makeup feature harnesses real-time facial mapping technology to apply virtual cosmetics—ranging from lip color to eyeshadow and blush—with lifelike precision. It intelligently adapts to each user’s facial contours and skin tone, allowing for naturallooking results. Users can freely test different color palettes, textures, and finishes, gaining confidence in their appearance before committing to a product. To ensure visual consistency, the module simulates multiple lighting environments, letting users preview how each makeup style holds up under various settings, from soft indoor light to bright outdoor sun.

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