Skintify - A Skincare Product Recommendation Application / (Record no. 611648)

000 -LEADER
fixed length control field 01686nam a22001817a 4500
003 - CONTROL NUMBER IDENTIFIER
control field NUST
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240923100411.0
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.1,ARS
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Arshad, Ariba Noor
9 (RLIN) 125970
245 ## - TITLE STATEMENT
Title Skintify - A Skincare Product Recommendation Application /
Statement of responsibility, etc. Ariba Noor Arshad, Aymen Fatima, Mubashir Hussain Shah, Saman Khalid.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. MCS, NUST
Name of publisher, distributor, etc. Rawalpindi
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent 147 p
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note This thesis introduces Skintify, an innovative mobile application designed to revolutionize the<br/>way individuals select skincare products. By harnessing the power of state-of-the-art<br/>technologies, including machine learning and image processing, Skintify offers personalized<br/>skincare recommendations uniquely tailored to various users. The application analyzes the skin<br/>type of the user by processing user facial images. This comprehensive analysis allows Skintify to<br/>recommend skincare products that precisely meet the individual needs of the user, thus providing<br/>a customized skincare regimen. This thesis details the development process of Skintify, from<br/>conceptualization to implementation, including the technological challenges encountered and the<br/>solutions employed. It details the prepared application that employs our trained model with a<br/>validation accuracy of 82.91%. Through Skintify, this work demonstrates the feasibility and<br/>effectiveness of applying advanced technological solutions to personal care, highlighting a<br/>significant step forward in the intersection of technology and personal health and wellness.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element UG BESE
9 (RLIN) 114271
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Geographic name BESE-26
9 (RLIN) 125902
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Supervisor Dr. Yawar Abbas Bangash
9 (RLIN) 125971
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Project Report
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
          Military College of Signals (MCS) Military College of Signals (MCS) General Stacks 09/23/2024   005.1,ARS MCSPCS-478 09/23/2024 09/23/2024 Project Report
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