Assess students' ability to design a comprehensive, multi-modal and ethically-grounded framework for deploying AI-driven public health interventions in low-resource communities. The quiz will test knowledge of multi-modal data integration (mobile, sensor, imaging, text), model selection and interpretability, data governance/privacy and informed consent, bias mitigation and equity, stakeholder and community engagement, implementation strategies (edge/federated, offline-first), monitoring and evaluation metrics, scalability, capacity-building, and policy/regulatory considerations. Task: create an end-to-end framework with architecture, ethical safeguards, evaluation plan, risk mitigation, and an implementation roadmap tailored to resource constraints.