Public portfolio prototype
Sudan Humanitarian AI Insights
A privacy-safe dashboard demo that turns synthetic community feedback and public-context assumptions into a hotspot watchlist, feedback triage, scenario extension, and downloadable decision brief.
Created by Shireen El Sabea for humanitarian data analysis, responsible AI, and social-impact collaboration.
Priority Geography
Bubble size shows demo IDP caseload; color shows composite priority score.
Top Watchlist
Highest scoring states in the current filter selection.
Sector and Access Pressure
Percent values are synthetic scenario indicators, not live assessments.
State-Level Priority Table
Predicted Sector Mix
Predicted Urgency by Sector
Feedback Sample and Rule-Based Tags
Test the Rule-Based Classifier
Displacement Trend with Linear Scenario Extension
The extension is a simple linear scenario for demonstration, not a predictive model.
Monthly Feedback Pressure by Sector
Review Queue
Decision-Support Brief
Select a state to generate a downloadable brief from the same scoring model.
Recommended Review Actions
Feedback Signals From This Area
Methodology and Ethical Use
This prototype is designed as a public portfolio demonstration, not an operational deployment. State-level values and feedback records are synthetic case-study data calibrated around public humanitarian reporting themes. The dashboard does not contain personal data or live field assessments.
Creator and collaboration: This prototype was created by Shireen El Sabea. She is open to collaboration with humanitarian organizations, data teams, and social-impact employers working on responsible AI for needs analysis, community feedback, and decision-support workflows.