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Election Analytics & Prediction System

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Client:  Ghana Decides '24 (Private Group)
Date:  September 2024
Role:  UI/UX Design

Project Overview

Ghana’s national elections are influenced by fast-moving narratives, regional sentiments, media reporting, and voter perception. The client needed a system capable of making sense of all this complexity. Their goal was clear. Build an election analytics engine that brings together:

  • Real-time sentiment data,
  • News analysis,
  • Polling numbers,
  • Offline survey results,
  • Expert opinions; and use them to predict presidential and parliamentary outcomes within a 3% confidence interval.

My role was to design the full digital platform that makes this possible.
The result is a structured, data-driven dashboard that visualizes national trends, highlights candidate performance, and supports decision-makers with actionable insights.

Impact

The system gives stakeholders a clear, data-grounded view of the election landscape. It allows them to track narratives, measure candidate performance, and predict outcomes with improved accuracy.

Key benefits:
  • Faster analysis through visualization instead of spreadsheets.
  • Consistent insights across data teams.
  • Early detection of regional shifts and topic trends.
  • A neutral, structured environment for high-stakes decision-making.

The platform positioned the client as one of the first in Ghana to offer a comprehensive, multi-dataset election prediction tool.

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