Predictive Disaster Risk Modeling Web App with Streamlit (Frontend Development)
Overview
I built a Risk-Informed Predictive web application using streamlit framework in Python and hosted the backend on AWS-EC2 instance.
This web application provides an interactive tool to predict and visualize political and economic risk modeling in the Nile Basin region using machine learning and high performance computing.
The application has three main features:
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Visualizing predicted data using state of art machine learning algorithms allowing to retrieve predicted risk scores at both the national and subnational levels.
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Interactive Geospatial Heat-map allows for visualization of risk affected areas spatially on an interactive map.
- Time Series Visualization which allows for visualizing time trends for risk profiles at the national level for the Nile Basin countries.
Access the Predictive Web App here.