BEAUTYBOT: AI-BASED SKINCARE PRODUCT ANALYZER AND RECOMMENDER
| dc.contributor.author | Siti Nur Azizah Binti Zamadil | |
| dc.date.accessioned | 2026-04-22T06:19:34Z | |
| dc.date.issued | 2025 | |
| dc.description | The skincare industry has witnessed rapid growth, driven by increased consumer awareness and technological advancements. However, the overwhelming variety of skincare products and the complexity of ingredient formulations often leave consumers uncertain about the best choices for their unique skin needs. This project, titled “BeautyBot: AI-Based Skincare Product Analyzer and Recommender,” aims to address this issue by developing a personalized skincare recommendation system. BeautyBot leverages artificial intelligence and machine learning to analyse user data collected through an interactive questionnaire and provide tailored skincare routines and product suggestions. The system features a comprehensive product database, dynamic adaptability to changing user preferences, and a user-friendly interface. By offering personalized, science-backed recommendations, BeautyBot seeks to enhance user satisfaction, reduce trial-and-error in product selection, and improve overall skincare outcomes. This report details the requirements, design, development, and potential impact of BeautyBot as an innovative solution in the skincare industry. | |
| dc.identifier.uri | https://scholarhub.unimas.my/handle/123456789/461 | |
| dc.language.iso | English | |
| dc.publisher | Universiti Malaysia Sarawak (UNIMAS) | |
| dc.relation.ispartofseries | Faculty of Computer Science and Information Technology | |
| dc.subject | BEAUTYBOT | |
| dc.title | BEAUTYBOT: AI-BASED SKINCARE PRODUCT ANALYZER AND RECOMMENDER | |
| dc.type | Final Year Project |