| 000 -LEADER |
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| fixed length control field |
02548nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
ft7818 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251201133058.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
251201b ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
T58.5 F56 2024 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Flores, Mathew L.; Pilapil, Catherine Ann D.; Torres, Allen Jasfer G. |
| 245 ## - TITLE STATEMENT |
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| Title |
LASHTECH: a web app-based lash recommendation, virtual try-on, and seamless booking app using geo location powered by artificial intelligence |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2024 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Other physical details |
Capstone Project: (BS in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2024. |
| 336 ## - CONTENT TYPE |
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| Source |
text |
| Content type term |
text |
| Content type code |
text |
| 337 ## - MEDIA TYPE |
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| Source |
unmediated |
| Media type term |
unmediated |
| Media type code |
unmediated |
| 338 ## - CARRIER TYPE |
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| Source |
volume |
| Carrier type term |
volume |
| Carrier type code |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
ABSTRACT: The “Lash Tech” project addresses common client difficulties in the growing lash salon business by developing a cutting-edge Web App-Based Lash Recommendation, Virtual Try-On, and Seamless Booking Application. This study addresses client concerns in the dynamic lash salon sector by developing a novel Web App-Based Lash Recommendation, Virtual Try-On, and Seamless Booking Application driven by AI and Geo Location technology. Clients frequently struggle with choosing appropriate eyelash styles, have challenges with manual appointment booking, and lack effective methods to identify nearby salons that match their tastes. The AI-powered Lash Recommendation tool analyses facial traits extensively to deliver individualized lash style recommendations. The Virtual Try-On feature allows clients to virtually examine numerous styles, allowing them to make more informed decisions. Furthermore, the Seamless Booking function improves the client experience by making it simple to schedule appointments at closest salons based on individual preferences and availability. The system was rigorously tested and evaluated in accordance with ISO 25010:2011 software quality standards. It received an impressive overall mean satisfaction rating of 4.50 ot of 5.00, demonstrating its efficacy, usefulness, and practicability. This rating represents a considerable improvement in client satisfaction and has the potential to change industry standards. The “LASHTECH” project stands as a developing solution to common challenges in the lash salon industry, providing a reliable and data-driven approach that not only improves the overall client experience but also promises to set new standards within the industry. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
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| Classification |
Filipiniana |
| 655 ## - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
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| Source of classification or shelving scheme |
|
| Item type |
Thesis/Dissertation |