Academics2021 · Research Assistant, Cape Coast Metropolitan Assembly
Welfare Eligibility Assessment System
A machine learning eligibility model and Power BI dashboard built for the Cape Coast Metropolitan Assembly.
Machine LearningPower BIPublic Policy
The challenge
Program administrators needed a faster, more consistent way to assess welfare eligibility and visualize outcomes across applicants.
The approach
Built a machine learning model using decision trees and logistic regression, then paired it with a Power BI dashboard so administrators could visualize eligibility outcomes in real time.
The outcome
The model achieved 85% classification accuracy, giving administrators a reliable, real-time view of eligibility outcomes.