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Smart City

I designed a comprehensive Smart City dashboard aimed at enabling city administrators and residents to monitor and manage urban infrastructure in real time. By utilizing data-driven systems, the project enhances decision-making, optimizes resource use, and improves quality of life for citizens.

01

Waste Monitoring

I designed a waste monitoring interface that uses IoT sensors embedded in trash bins to provide real-time data on bin capacity and collection needs. The interface includes a map that will trigger on their status (half-full, full, overflowing), and notifications for waste management teams when specific bins require attention.

Key Features:

 

  • Real-time status updates on bin capacity

  • Route optimization for waste collection trucks based on full bins

  • Alerts for overflow or missed collections

  • Historical data and reporting for long-term planning

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02

CCTV Monitoring

The CCTV monitoring system was designed with AI-powered event detection that alerts operators to unusual activity, such as crowd gatherings or accidents. We created a dashboard that consolidates live feeds from multiple cameras while providing alert-based prioritization, ensuring that operators focus on the most critical incidents.

Key Features:

 

  • AI-driven event detection and alerts

  • User-friendly interface for viewing multiple camera feeds

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03

Air Quality Monitoring

I developed an intuitive air quality monitoring dashboard that provides real-time pollution levels, trends, and alerts. The user interface displays a simple color-coded air quality index (AQI) for different city zones and offers recommendations for citizens, such as staying indoors or avoiding outdoor activities on high pollution days.

Key Features:

 

  • Real-time AQI displayed 

  • Location-based AQI alerts and notifications

  • Historical air quality data and future predictions

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04  

Energy Consumption Monitoring

I created an energy consumption dashboard that displays real-time data for Overall electricity and water use. The interface helps city officials monitor spikes, detect inefficiencies, and encourage sustainable usage through insights and predictions.

Key Features:
 

  • Real-time energy and water usage monitoring

  • Predictive analytics for future consumption trends

  • Alerts for abnormal energy consumption

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05

Traffic Light Control

I designed a smart traffic light control system that adjusts signal timings dynamically based on real-time traffic flow data. The interface allows traffic managers to visualize traffic conditions, view congestion alerts, and manually override signals if needed.

Key Features:

 

  • Real-time traffic flow monitoring with congestion alerts

  • Dynamic signal adjustment based on traffic density

  • Map integration with live traffic data

  • Manual override option for emergency scenarios

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© 2025 by Yeo Sock Hoon.

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