Glowlytic is an AI-powered skincare product recommendation system designed to help users find the best skincare products based on their skin concerns, skin type, and budget preferences. By leveraging machine learning and classification models, Glowlytic provides personalized recommendations to improve the skincare shopping experience.
- Ghala Alsugair
- Daniah Alkathiri
- Nada Mahzari
- Najla Aljarba
- Dania Alowaifeer
Many people struggle to choose the right skincare products due to the overwhelming number of options available on the market. The main challenges include:
✅ Diverse Skin Concerns: Acne, dryness, wrinkles, hyperpigmentation, sensitivity, and more.
✅ Too Many Choices: Thousands of products make selection difficult.
✅ Generic Recommendations: Many suggestions do not consider individual skin needs.
Our motivation for this project is to build a personalized, intelligent skincare recommendation system that suggests products based on user inputs, helping users make better-informed skincare decisions.
This project uses a dataset created by Dwi Ayu Nouvalina, licensed under the MIT License.
Source: 🔗 GitHub Repository .
🔹 Glowlytic – Making Skincare Smarter! ✨