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IoT & AI Attendance System for Rwandan Schools by Ashlie Jane is a document available to read on EtoBox.

The document discusses the development of an IoT and AI-based student attendance monitoring system in Rwanda to reduce dropout rates. The system uses fingerprint sensors to register and verify student attendance and sensors to detect presence. A web application allows real-time monitoring for parents and administrators. Classification machine learning is used to analyze attendance data and generate a model showing monitoring can significantly reduce dropout rates.

Author
Ashlie Jane
Language
EN