| 000 -LEADER |
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| fixed length control field |
02727nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
FT8843 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251127163007.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
251127b ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
T58.64 C84 2025 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Cuevas, John Raphael G.; Rili, John Kenneth R.; Santillan, Anny Neolicia G |
| 245 ## - TITLE STATEMENT |
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| Title |
Layout loud: An AI-powered augmented reality and mobile application for room interior design and layout optimization |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2025 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Other physical details |
Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025 |
| 336 ## - CONTENT TYPE |
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| Source |
text |
| Content type term |
text |
| Content type code |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
unmediated |
| Media type term |
unmediated |
| Media type code |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
volume |
| Carrier type term |
volume |
| Carrier type code |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
ABSTRACT: LayOut Loud is an AI-powered augmented reality (AR) mobile application designed to revolutionize room interior design by addressing the common challenge of optimizing layouts based on user preferences and space constraints. Many individuals struggle with selecting and arranging furniture that balances aesthetics and functionality, often resulting in inefficient use of space. The objective of LayOut Loud is to provide tailored, real-time solutions that enhance decision-making by analyzing user-provided room dimensions, furniture types, and style preferences. Utilizing advanced AI algorithms, including a clustering method, the application categorizes furniture based on suitability and visual coherence, streamlining the selection process. Additionally, LayOut Loud enhances AR capabilities by allowing users to capture room layouts and visualize virtual furniture arrangements in real time, enabling them to experiment with different configurations and instantly assess potential changes. This interactive approach ensures that users can make informed design choices without the need for manual trial and error. The application employs machine learning techniques to generate personalized design suggestions, considering factors such as available space, furniture compatibility, and user aesthetic preferences. By integrating AI-driven recommendations with 3D modeling, LayOut Loud provides an intuitive and immersive platform that simplifies interior design. The result is an intelligent, user-friendly solution that enhances creativity, maximizes space efficiency, and transforms the way individuals approach home design. LayOut Loud empowers users to create visually appealing, functional living spaces with confidence, making interior design more accessible and enjoyable through innovative technology, ultimately bridging the gap between design aspirations and practical implementation. |
| 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 |