Personalized Skincare Recommendations Using Multi-Modal Deep Learning Techniques

Krishnamoorthy, Pooja (2024) Personalized Skincare Recommendations Using Multi-Modal Deep Learning Techniques. Masters thesis, Dublin, National College of Ireland.

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Abstract

Skincare is the most essential for health as skin issues which are untreated may lead to serious problems. But finding the right products for skincare is challenging because everyone's skin is different. People have various skin types such as oily, dry, sensitive makes hard to find the products which is suitable to everyone. This study uses deep learning techniques which is used to create recommendation system that helps to find the best product based on their skin types. Unlike older methods which use limited data and algorithms, our approach uses cutting edge technology to analyze large amounts of diverse data. It helps to understand how different skin types interact with various skincare products. It also collects feedback from users to make sure that the system provides personalized recommendations which are accurate and effective. This method aims to improve skin health and provide user satisfaction by offering skincare solutions aligned to individual needs.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Syed, Muslim Jammel UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Cosmetics Industry Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine > Personal Health and Hygiene
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	05 Jun 2025 14:21
Last Modified:	05 Jun 2025 14:21
URI:	https://norma.ncirl.ie/id/eprint/7765

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