| 000 -LEADER |
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| fixed length control field |
02542nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
ft8795 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251112092542.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
251112b ||||| |||| 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 |
T10 A24 2025 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Acervo, Mikhail Bien; Cobre, Kenyon Khimo S.; Gabriel, Karryle Joy T. |
| 245 ## - TITLE STATEMENT |
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| Title |
Braillai: A two way web-based braille translation using convolutional neural network with gamified e-learning system applied for moderately visually impaired and sighted individuals |
| 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 |
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: BRAILLAI seeks to improve accessibility and foster Braille literacy through engaging learning experiences. This research introduces a web-based platform designed that utilizes convolutional neural networks along with a gamified e-learning approach. Aimed at both moderately visually impaired and sighted users. The platform leverages sophisticated Convolutional Neural Network (CNN) models to effectively translate text into Braille and vice versa, facilitating smooth communication among users with varying visual abilities. This research addresses BRAILLAI’s effectiveness in enhancing Braille understanding and its capacity to connect visually and sighted communities, thereby contributing to a more inclusive society. The project underwent testing in accordance with ISO 25010. The results by phase of the study test results demonstrated high levels of functional suitability, performance efficiency, reliability, and usability, as outlined by the ISO model. Moderately Visually Impaired and Sighted Individuals rated the functional suitability, usability, and reliability with means ranging from 4.9 to 4.49, indicating a “Very Good” level of quality, affirming the application’s adherence to ISO standards and requirements. These findings underscore the positive performance of the website across all evaluated criteria, showcasing its effectiveness in meeting the needs of both Moderately Visually Impaired and the Sighted individuals. Furthermore, the findings indicate that the integration of computer vision technology with educational content delivery can provide effective learning experiences for diverse learners in language learning. |
| 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 |