Applied Machine Learning
Cloud Shule
Predictive fee-arrears intelligence for Kenyan schools — a fee recovery assistant, not just a ledger.
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Project Overview
Predictive fee-arrears intelligence for Kenyan schools — a fee recovery assistant, not just a ledger.
The Challenge
Schools track who owes fees, but almost none can predict who is about to fall behind before it happens — by the time arrears show up, the damage to cash flow is already done.
Our Solution
We built a machine learning model trained on real fee-payment patterns that flags at-risk accounts early, paired with automated SMS reminders that escalate as balances age.
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Performance Boost
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Delivery Time
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Client Score
Key Results
Early warning on at-risk accounts
Automated, escalating SMS reminders
Built for Kenyan connectivity and mobile-money realities
Technologies Used
PythonMachine LearningNext.jsAfrica's Talking SMS