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003			OSt
005			20250714140008.0
008			250714b |||||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM _dTUPM _erda
050			_aBTH TK 870 _bB35 2025
100			_aBalatico, Alliyah Jeanne A. _eauthor
245			_aFrens 2.0: _ba mobile application for flood and road eye navigation system using react native framework, internet of things (iot) and deep learning/ _cAlliyah Jeanne A. Balatico, Randee Samuel B. Comia, Ivan Dave A. Gloriani, Windyll P. Meniembra, Justine Mae F. Neri, and Ike Philip B. Villareal.--
260			_aManila: _bTechnological University of the Philippines, _c2025.
300			_a224pages: _c29cm.
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aBachelor's thesis
502			_aCollege Of Engineering.-- _bBachelor of science in electronics engineering: _cTechnological University of the Philippines, _d2025.
504			_aIncludes bibliographic references and index.
520			_aUrban flooding poses significant challenges to traffic safety and mobility, especially in cities like Manila. This study presents FRENS 2.0, a flood and road navigation system developed using the React Native framework, integrated with an Internet of Things (IoT) sensor network and machine learning. The system collects real-time data from water level sensors, rain gauges, barometric sensors, and computer vision cameras using the YOLOv8 model to monitor flood and traffic conditions. This data, combined with historical records, enables dynamic route rerouting and accurate Estimated Time of Arrival (ETA) predictions through a mobile application enhanced with Google Maps and an AI chatbot powered by LangChain. FRENS 2.0 significantly improves performance with refresh rates between 192 and 219 milliseconds under normal conditions and 510 to 582 milliseconds during floods, outperforming previous web-based versions. Its intelligent rerouting algorithm effectively avoids flooded and hazardous areas, ensuring safer and more efficient travel compared to standard navigation apps. A key hardware upgrade includes replacing lead-acid batteries with Lithium Iron Phosphate (LiFePO4) batteries, extending the system’s operation to over 34.5 hours without sunlight, enhancing sustainability and durability. Comprehensive testing showed high user satisfaction with an overall rating of 4.45 out of 5, highlighting strong functionality and portability. The results demonstrate FRENS 2.0’s potential to improve urban navigation safety and efficiency during adverse weather. Future recommendations include enhancing hardware security, improving data clarity, refining the algorithm, developing an iOS app, and strengthening system security for broader application and reliability.
650			_aMobile application
650			_aRerouting
650			_aReact native
700			_aComia, Randee Samuel B. _eauthor
700			_aGloriani, Ivan Dave A. _eauthor
700			_aMeniembra, Windyll P. _eauthor
700			_aNeri, Justine Mae F. _eauthor
700			_aVillareal, Ike Philip B. _eauthor
942			_2lcc _cBTH COE _n0
999			_c30330 _d30330