Abstract:
In today’s world, people are more conscious about their skin health and appearance.
But finding the right skincare and cosmetic products that perfectly match an
individual’s skin type and tone is a major difficulty. The traditional methods often
involve trial and error and lack personalized guidance. The purpose of this project is
personalized skincare and
to develop an
artificial intelligence system (Al) as
the integration of Al techniques to analyze
cosmetic adviser. This report focuses on
d provide specific skincare and cosmetic recommendations
image processing and algorithms to evaluate
uses
various skin conditions an
designed specifically. The system
various skin attributes like skin tones, and skin types. Al model is formed by using
diverse skin image dataset and skincare and cosmetic products, so it can recognize
and recommend appropriate products. Techniques such as
specific skin conditions
deep learning and convolutional neural network (CNN) are used to analyze images and
extract features. The system is designed to be user -friendly, allowing individuals to
immediate analysis and view a recommended
upload images of their skin, receive
This Al-driven approach not only enhances user satisfaction
product on web interface
better skin care through intelligent recommendations
