Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{180393,
        author = {Ishita Belhekar and Tejas Dhanawate and Sakshi Ghadge and Vedant Patil},
        title = {Intelligent Skincare and Makeup Personalized Recommendation System using Image Processing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {1808-1815},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180393},
        abstract = {The skin condition, type, and colour of a 
person may also influence the usage of cosmetic and 
skincare products. Typically basing itself on subjective 
observations, traditional recommendation programs 
generate 
unsuitable 
and 
biased 
product 
recommendations. This work discusses an Intelligent 
Makeup and Skincare Recommendation System which 
is able to identify acne and infer skin colour through 
the means of image processing. The system evaluates 
the user photographs through Python machine vision 
to infer valuable skin attributes and deliver 
customized skincare and makeup advice. For further 
analysis and fine-tuning, the results are saved in a 
CSV file. This methodology combines dermatology 
principles with technology to provide more accurate 
and information-based skincare and beauty 
recommendations.},
        keywords = {Convolutional Neural Networks (CNN),  Deep Learning, Skincare, Makeup, Product  Recommendation, Image Analysis, Personalized  Beauty, Feature Extraction},
        month = {June},
        }