Paper Title
Skin Care Classification Using CNN

Abstract
The human skin plays a critical role in protecting us from infections and germs. However, skin characteristics can change throughout life, impacting its health and vitality. Proper skincare routines are essential for maintaining healthy skin, but current methods for skin type classification and personalized care recommendations are often limited. This project proposes a Convolutional Neural Network (CNN)-based model to address these challenges. Our multiclass CNN model aims to classify three distinct skin types and four common skin issues with high accuracy. This system will facilitate easy skin type and issue detection, ultimately leading to personalized skincare routine recommendations. Keywords - Convolutional Neural Networks, classification, multiclass, accuracy, recommend