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dc.contributor.author | 03-135172-044, MEHR UN NISA | |
dc.date.accessioned | 2024-10-31T08:26:57Z | |
dc.date.available | 2024-10-31T08:26:57Z | |
dc.date.issued | 2021-07-18 | |
dc.identifier.other | BULC782 | |
dc.identifier.uri | http://hdl.handle.net/123456789/18324 | |
dc.description.abstract | In today’s world, cosmetics has increased as many people want to stay young and attractive. It can completely transform a person, enhance one's beauty, and even be used in the form of art. The objective of this project is to develop an e-commerce cosmetic website. In Pakistan, cosmetic shopping sites can’t provide the product base on customers’ skin tone and makeup products. On this website, the customer will upload a picture and then there are different types of skin tone lipsticks, eyeshades and blush-on filters so, the customer will apply any filter and check easily which skin product is perfect for the face. Many women have trouble finding the right look. It is reliable for those customers who always do online shopping so they can easily find their matching products. The project uses to build the face detective algorithm using python. We will use one module library for this project, and it is called CV2, dlib, numpy also using Javascript. OpenCV is a highly optimized library with a focus on real-time. JavaScript Object Notation is an open standard file format it is used for lightweight and highweight filters. The most important advantage of this project is to reduce human effort and saves a lot of timE | en_US |
dc.description.sponsorship | Supervisor: Nadeem Sarwar | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | ;BULC782 | |
dc.title | Online Cosmetic Store | en_US |
dc.type | Project Reports | en_US |