Gateflow: Intelligent Parent-School Platform منصة ذكية للتواصل بين أولياء الأمور والمدارس

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Morning and afternoon school area are experienced by high vehicle density, manual student call‑outs, and long queues. Existing approaches often rely on spreadsheets and manual procedures, which cause lack of safety or efficiency specially for kids. The proposed system changes the arrival process, provides dynamic, data‑driven queueing, and validates guardians through multi‑factor verification (ex: QR, optional License Plate Recognition, etc). This project intends to develop a smart, AI-enhanced platform that provide safe, fast, and organized school drop‑off and pick‑up for parents who drive their own vehicles. The system combines a Parent platform, a School Admin Dashboard, and a secure Backend with extra AI modules for queue optimization, prediction, and anomaly detection. Automatically linking parents, school, kid to attendance, it reduces congestion, improves safety and compliance, and provides transparent, real‑time communication between families and schools. Problem Statement • Congestion and long waiting times at school gates. • Limited visibility for parents and staff during peak times. • Manual, error attendance and release workflows. • Safety risks from unauthorized pickups or traffic accidents especially for kids. • Lack of operational analytics for continuous improvement. Objectives • Reduce pick-up wait time • Ensure privacy, safety, and compliance via secure identity and access controls. • Provide secure, auditable logs of all events Scope • Mobile App, check‑in, and notifications. • School Admin Dashboard for queue management, release control, and reporting. • Backend APIs, database, and real‑time messaging. • Integrating AI for queue prediction, and anomaly detection.

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