This project demonstrates how data science can assist skincare recommendations using content-based filtering based on cosmetic chemical components. We filtered for dry skin moisturizers, tokenized their ingredients, built a sparse matrix, applied t-SNE for similarity mapping, and used Plotly for interactive visual clustering.