The project involves building a SaaS-based web portal that enables restaurants to generate unique QR codes for each table and for takeaway orders. When scanned, these QR codes allow customers to view a digital menu, place orders, and select payment options such as PayNow or PayLater. The system provides restaurant owners with an admin panel to manage menus, orders, payments, and subscription plans.
Additionally, a mobile app was developed for restaurant staff to manage incoming orders, track payment status, and receive alerts. The platform includes customizable themes, reporting tools, and supports different subscription models.

This project delivers an integrated AI and analytics platform for the Foundation for Sickle Cell Disease Research (FSCDR). It connects ECW (eClinicalWorks) EHR data with advanced AI-based predictive models to identify high-risk patients, automate follow-ups, and streamline state grant reporting (CMO99, CMOAE Tasks 5–13).
The goal is to transform static EHR data into actionable insights — improving research visibility, compliance, and patient outcomes while cutting down manual reporting workloads. The solution supports predictive ER-risk modeling, AI-based outreach automation, and Power BI-driven compliance dashboards across FSCDR’s Centers of Excellence.

The application is designed for the Saudi Arabia healthcare market, enabling patients to access remote consultations via video/audio calls with therapists and specialists. It includes features like pharmacy and laboratory modules, delivery management, and sample collection. The application will be HIPAA compliant, ensuring patient data security and privacy.