| dc.contributor.author | Hanif, Beenish Reg # 79237 | |
| dc.contributor.author | Nausheen, Tooba Reg # 79242 | |
| dc.contributor.author | Mateen, Anusha Reg # 79017 | |
| dc.date.accessioned | 2026-07-16T04:15:05Z | |
| dc.date.available | 2026-07-16T04:15:05Z | |
| dc.date.issued | 2025 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/21510 | |
| dc.description | Supervised by Soomal Fatima | en_US |
| dc.description.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 | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Bahria University Karachi Campus | en_US |
| dc.relation.ispartofseries | BSCS;MFN BSCS 578 | |
| dc.title | SKIN CARE AND COSMETIC ADVISOR USING ARTIFICIAL INTELLIGENCE | en_US |
| dc.type | Project Reports | en_US |