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IJIEE
Articles
DOI: 10.62674/ijiee.2025.v2i04.002
Published: 2025-12-31

Celeste: Deep Learning Based Virtual Try on

1Assistant Professor, Department of Information Technology MVSR Engineering College, Nadergul, Hyderabad, India.
Former undergraduate student, Department of Information Technology MVSR Engineering College, Nadergul, Hyderabad, India
Former undergraduate student, Department of Information Technology MVSR Engineering College, Nadergul, Hyderabad, India
Former undergraduate student, Department of Information Technology MVSR Engineering College, Nadergul, Hyderabad, India
Virtual Try-On VGG-Based model AI-powered online platform Deep learning Image processing Cosine similarity React Native & Expo MongoDB with Prisma ORM

Abstract

Nowadays there is a high rate of returns of purchased products in digital shopping due to inability to experience the outfit and as well as lack of efficiency in regular product searching methods. We proposed an AI-powered online platform for buying clothes which combines deep learning and image processing. This platform consists of a try-on module which overlays clothing on user photographs virtually while satisfying the visual accuracy in terms of lighting, shape and texture. The cosine similarity is used for searching a product, which also enables image and text-based search through a VGG based model. The React Native and Expo is used for designing the application for constant cross-platform interaction, whereas MongoDB and Prisma is used to provide high scale data handling. This application enhances user experience with personalized recommendations through virtual try on , reducing the search overhead, and integrating digital convenience and in-store customer engagement.

References

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