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Hauptverfasser: NITHYA M V, ADIL SIYAD K.M, AFINSHA P.B, GAUTHAM T.S, ABHIJITH K.P, SALIH SUDHEER, ARJUN SANKAR R.S, C.S ADHITHYAN
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Veröffentlicht: Zenodo 2025
Online-Zugang:https://doi.org/10.5281/zenodo.15543236
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author NITHYA M V
ADIL SIYAD K.M
AFINSHA P.B
GAUTHAM T.S
ABHIJITH K.P
SALIH SUDHEER
ARJUN SANKAR R.S
C.S ADHITHYAN
author_facet NITHYA M V
ADIL SIYAD K.M
AFINSHA P.B
GAUTHAM T.S
ABHIJITH K.P
SALIH SUDHEER
ARJUN SANKAR R.S
C.S ADHITHYAN
contents <p>New potential for personalisation are presented by the developing nexus between artificial intelligence and e-commerce. This study presents a cutting-edge jewellery recommendation system that revolutionises online buying by leveraging computer vision and machine learning. The technology uses Convolutional Neural Networks (CNNs) to analyse user-uploaded facial photos and produce customised jewellery recommendations based on skin tone, face shape, and specific facial features. The methodology creates a novel way to personalised product discovery by combining sophisticated image processing techniques with a hybrid recommendation system. The platform connects digital interfaces with personal aesthetic preferences by using intelligent matching and multi stage facial analysis. The system's ability to improve user engagement is demonstrated via experimental validation, providing a revolutionary solution in personalised e-commerce technology.  </p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_15543236
institution Zenodo
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publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle JEWELLERY SHOPPING WITH FACIAL RECOGNITION
NITHYA M V
ADIL SIYAD K.M
AFINSHA P.B
GAUTHAM T.S
ABHIJITH K.P
SALIH SUDHEER
ARJUN SANKAR R.S
C.S ADHITHYAN
<p>New potential for personalisation are presented by the developing nexus between artificial intelligence and e-commerce. This study presents a cutting-edge jewellery recommendation system that revolutionises online buying by leveraging computer vision and machine learning. The technology uses Convolutional Neural Networks (CNNs) to analyse user-uploaded facial photos and produce customised jewellery recommendations based on skin tone, face shape, and specific facial features. The methodology creates a novel way to personalised product discovery by combining sophisticated image processing techniques with a hybrid recommendation system. The platform connects digital interfaces with personal aesthetic preferences by using intelligent matching and multi stage facial analysis. The system's ability to improve user engagement is demonstrated via experimental validation, providing a revolutionary solution in personalised e-commerce technology.  </p>
title JEWELLERY SHOPPING WITH FACIAL RECOGNITION
url https://doi.org/10.5281/zenodo.15543236