AURA: AI Self Make over App – An AI-Driven Frame work for Personalized Beauty, Fashion and Virtual Try-On Systems
P
Prof.Sneha Zolgikar
(Vemana Institute of Technology, Bengaluru, India)
Abstract
Artificial Intelligence (AI) and Augmented Reality (AR) continue to transform beauty, fashion, and personal styling. AURA is an AI-powered self-makeover application designed to provide personalized makeup, hairstyle, and outfit recommendations by analyzing facial attributes, skin tone and user preferences. This paper describes the system architecture, methodology, implementation, and evaluation plan for AURA, and discusses its applicability to beauty-tech and retail.
Article Details
Volume / Issue
Vol. 13, Issue 01
Published
January 20, 2026
Pages
10
Publisher
AM Publications
Journal Info
International Research Journal of Computer Science
AM Publications
Open Access Computer Science
Authors (1)
P
Prof.Sneha Zolgikar
Vemana Institute of Technology, Bengaluru, India
Related Articles from this Journal
FedMobileNet: A Resource-Conscious Federated Learning Framework for Imbalanced Lung Cancer CT Image Classification
Dr.Rituparna Bora, Dr.Ranjan Sarmah et al.
Oct 2026
10.26562/irjcs.2026.v1310.01
Machine Learning-Enabled Quality Analytics for Higher Education: A Multi-Dimensional Classification and Decision-Support Framework
Tripti Singh
Oct 2026
10.26562/irjcs.2026.v1309.01
Some Results on Analysis, Synthesis and Frame Operators Associated with a Fixed Element in 2-Hilbert Spaces
Dr.G.Upender Reddy, Rajasekhar B.S.S.P.
Aug 2026
10.26562/irjcs.2026.v1308.02
A Novel Lightweight AlexNet Convolutional Neural Network for Tomato Leaf Disease Classification
Debabrat Bharal, Kanak Ch Bora et al.
Aug 2026
10.26562/irjcs.2026.v1308.01
AI-Driven Teacher Preparation: A Constructivist and Cognitive Learning Perspective
Adel Al-Zahrani, Ghada Abdelhady
Jul 2026
10.26562/irjcs.2026.v1307.01