Frens 2.0: a mobile application for flood and road eye navigation system using react native framework, internet of things (iot) and deep learning/
Balatico, Alliyah Jeanne A.
Frens 2.0: a mobile application for flood and road eye navigation system using react native framework, internet of things (iot) and deep learning/ Alliyah Jeanne A. Balatico, Randee Samuel B. Comia, Ivan Dave A. Gloriani, Windyll P. Meniembra, Justine Mae F. Neri, and Ike Philip B. Villareal.-- - Manila: Technological University of the Philippines, 2025. - 224pages: 29cm.
Bachelor's thesis
College Of Engineering.--
Includes bibliographic references and index.
Urban 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.
Mobile application
Rerouting
React native
BTH TK 870 / B35 2025
Frens 2.0: a mobile application for flood and road eye navigation system using react native framework, internet of things (iot) and deep learning/ Alliyah Jeanne A. Balatico, Randee Samuel B. Comia, Ivan Dave A. Gloriani, Windyll P. Meniembra, Justine Mae F. Neri, and Ike Philip B. Villareal.-- - Manila: Technological University of the Philippines, 2025. - 224pages: 29cm.
Bachelor's thesis
College Of Engineering.--
Includes bibliographic references and index.
Urban 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.
Mobile application
Rerouting
React native
BTH TK 870 / B35 2025