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Enhanced navi II : upgraded navigation and interaction system with advanced visual interface / Alvin Jr. S. Pisante, [and 3 others].

By:

Pisante, Alvin Jr., S [author.]

Contributor(s):

Material type: Text

TextDescription: 117 leavesContent type:

text

Media type:

unmediated

Carrier type:

volume

Dissertation note: Undergraduate Thesis (BSECE) - Electronics Engineering. Camarines Sur Polytechnic Colleges, 2025. Abstract: This study presents the development and enhancement of the NAVI II system, an upgraded campus navigation and interaction tool equipped with an advanced visual interface. Designed to address the navigation challenges faced by new students, transferees, and visitors at Camarines Sur Polytechnic Colleges, the system utilizes speech recognition and Al-driven response algorithms to provide accurate directions within the campus. The upgraded system integrates a comprehensive campus database, supports both offline and online functionality, and offers improved interaction through responsive voice commands and visual maps. The study employs descriptive and developmental research methods to guide the system's improvement. Results based on user testing and survey feedback highlight the system's effectiveness, accuracy, and user satisfaction. The findings suggest that Enhanced NAVI II significantly improves user experience in campus navigation and interaction tasks.

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Unpublished Materials	Main Library	Undergraduate Thesis Section	UTH BSECE P675e 2025 (Browse shelf(Opens below))	1-1	Not for loan		006905UM

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Undergraduate Thesis (BSECE) - Electronics Engineering. Camarines Sur Polytechnic Colleges, 2025.

Includes bibliographical references.

This study presents the development and enhancement of the NAVI II system, an upgraded campus navigation and interaction tool equipped with an advanced visual interface. Designed to address the navigation challenges faced by new students, transferees, and visitors at Camarines Sur Polytechnic Colleges, the system utilizes speech recognition and Al-driven response algorithms to provide accurate directions within the campus. The upgraded system integrates a comprehensive campus database, supports both offline and online functionality, and offers improved interaction through responsive voice commands and visual maps. The study employs descriptive and developmental research methods to guide the system's improvement. Results based on user testing and survey feedback highlight the system's effectiveness, accuracy, and user satisfaction. The findings suggest that Enhanced NAVI II significantly improves user experience in campus navigation and interaction tasks.

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