HUDURY حضوري represents the Saudi Ministry of Education's ambitious foray into digital workforce management through Internet of Things technology. The application serves as a centralized attendance system designed specifically for large-scale organizational deployment, utilizing multimodal biometric authentication including facial recognition, voice identification, and fingerprint scanning. This positions it as a comprehensive solution for government institutions and large enterprises seeking to modernize traditional attendance tracking methods. The application's core functionality centers around its IoT-enabled biometric verification system, which eliminates the need for physical attendance hardware. Key operational features include real-time attendance data synchronization, automated leave management integration, and centralized dashboard controls for system administrators. The platform supports simultaneous attendance tracking for thousands of employees, with particular emphasis on educational institution workflows and government employee management protocols specific to Saudi Arabia's regulatory environment. User experience appears optimized for administrative efficiency rather than individual user convenience, with interface design prioritizing data visibility and management controls over aesthetic considerations. Real-world implementation suggests the application functions best in controlled organizational environments where centralized device management is possible, particularly through its dedicated tablet application for centralized attendance stations. The biometric authentication process requires consistent lighting conditions and audio environments for optimal performance, which may present challenges in varied workplace settings. Available user feedback indicates significant functional concerns, reflected in the application's notably low 1.3-star rating. While specific user reviews are not publicly accessible, the aggregate rating suggests widespread usability issues, potentially relating to biometric recognition accuracy, system reliability, or integration challenges with existing organizational infrastructure. The absence of detailed user testimonials prevents specific problem identification but indicates substantial room for improvement in user satisfaction metrics. The application demonstrates strongest potential in highly structured institutional environments where standardized implementation is feasible. Primary strengths include its multimodal authentication approach and scalability for large organizations, while limitations appear related to technical reliability and user experience refinement. Ideal deployment scenarios involve well-resourced organizations with dedicated IT support and consistent environmental conditions for biometric verification.