Advanced Hydrological Insights Platform: Real-time Flow Velocity Analysis, Water Volume Forecasting, and Interactive Map Visualization


River flooding is among the most catastrophic natural disasters, often caused by sudden heavy rainfall, typhoons, or other extreme weather events. Despite existing forecasting systems, accurately predicting floods and providing timely evacuation guidance remains a challenge. There is a critical need for an advanced solution that leverages cutting-edge technology to enhance flood prediction capabilities and improve public safety.


This innovative hydrological insights platform addresses the limitations of current forecasting systems by harnessing the power of artificial intelligence, data analysis, and interactive visualization. By collecting and analyzing real-time data from strategically placed terminals, the platform enables accurate prediction of river flooding, ultimately supporting informed decision-making and timely emergency response.


Data Acquisition and Analysis: Gather real-time data from terminals, leveraging advanced AI algorithms to analyze flow velocity and other relevant factors influencing river flooding.

Machine Learning Model: Employ state-of-the-art machine learning techniques to learn from historical data, continuously refining and enhancing the platform’s predictive capabilities.

Interactive Map Visualization: Visualize critical data on an intuitive map interface, providing a comprehensive view of river flow dynamics and enabling users to identify high-risk areas for potential flooding.

Early Warning System: Utilize predictive insights to generate timely alerts and evacuation instructions, ensuring prompt and effective emergency response measures.


Project Duration: 3 months

Team Composition:

1 Project Manager (PM): Oversees project planning, resource allocation, and progress tracking, ensuring timely delivery and alignment with stakeholders’ objectives.

1 AI Engineer: Develops and implements AI algorithms for data analysis and machine learning model training, supporting accurate flood prediction.

1 Web Engineer: Designs and codes the platform’s user interface and interactive map visualization features, ensuring a seamless and intuitive user experience.


Development and testing

Tech Stack


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