Wizearly
IVEN DIGITAL developed WIZE, an AI-powered predictive analytics engine for Wizearly, designed to identify students at risk of chronic absenteeism. The project involved data annotation, AI model training, and integration, ensuring accurate risk predictions and proactive intervention strategies. Scope & Data Labeling We labeled over 1.5 million data points, categorizing attendance trends, behavioral engagement, socioeconomic factors, and intervention outcomes. The dataset was human-verified to enhance accuracy and AI fairness. Project Size & AI Training The AI model was trained on multi-year academic data, deployed on AWS & Google Cloud, and refined through cross-validation and continuous learning. Quality Measures & Compliance To ensure high-quality annotations and AI fairness, we implemented: ✅ Human-in-the-Loop verification for accuracy ✅ Bias & fairness audits to prevent discrimination ✅ Continuous model refinement