000			01686nam a22001817a 4500
003			NUST
005			20240923100411.0
082			_a005.1,ARS
100			_aArshad, Ariba Noor _9125970
245			_aSkintify - A Skincare Product Recommendation Application / _cAriba Noor Arshad, Aymen Fatima, Mubashir Hussain Shah, Saman Khalid.
260			_aMCS, NUST _bRawalpindi _c2024
300			_a147 p
505			_aThis thesis introduces Skintify, an innovative mobile application designed to revolutionize the way individuals select skincare products. By harnessing the power of state-of-the-art technologies, including machine learning and image processing, Skintify offers personalized skincare recommendations uniquely tailored to various users. The application analyzes the skin type of the user by processing user facial images. This comprehensive analysis allows Skintify to recommend skincare products that precisely meet the individual needs of the user, thus providing a customized skincare regimen. This thesis details the development process of Skintify, from conceptualization to implementation, including the technological challenges encountered and the solutions employed. It details the prepared application that employs our trained model with a validation accuracy of 82.91%. Through Skintify, this work demonstrates the feasibility and effectiveness of applying advanced technological solutions to personal care, highlighting a significant step forward in the intersection of technology and personal health and wellness.
650			_aUG BESE _9114271
651			_aBESE-26 _9125902
700			_aSupervisor Dr. Yawar Abbas Bangash _9125971
942			_2ddc _cPR
999			_c611648 _d611648