| 000 -LEADER |
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| fixed length control field |
02228nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
ft8857 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251209150137.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
251209b ||||| |||| 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 E57 2025 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Enriques, Kyla Reana, Tadena, Jenie |
| 245 ## - TITLE STATEMENT |
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| Title |
Kapet: Enhancing pathfinding optimization for mode of transportation within Intramuros for improved efficiency and navigation using the A* algorithm |
| 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 |
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| 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 |
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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: KaPet is an advanced AI navigation mobile application designed to assist drivers in finding efficient routes within Intramuros. It faces common challenges, including the need to optimize fare-based timing to ensure fair pricing for both drivers and passengers, provide the shortest and most efficient paths to historical landmarks, and determine the correct route for navigating elevated areas. The study focuses on developing a user-friendly mobile application that offers transparent fare calculations using Linear Regression, allowing passengers and drivers to track and understand fare breakdowns. The study also incorporates a system that presents multiple route options to various historical sites within Intramuros, providing accurate predictions for travel time and distance using the Random Forest Regressor. Finally, the implementation of an AI-driven navigation app utilizing the A* Algorithm aim to optimize navigation through elevated routes within Intramuros, offering precise and dynamic directions that adapt to changing road conditions, ensuring smoother and faster journeys. By addressing the common challenge of navigation inefficiencies, KaPeT significantly enhances transportation efficiency within Intramuros, improves user satisfaction through transparency and reliability, and reduces travel time while promoting a more sustainable and effective transportation system in the area. |
| 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 |