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.

Development of a multilingual, responsive e-learning platform for registered customers, members, and anonymous users. The platform supports course access, studying, quizzes, exam simulations, dashboards, account management, and financial reporting.  
It includes admin functionalities for content management, course simulation, financial adjustments, and audit trails. A mobile app was also developed using Xamarin to provide on-the-go access with similar features. Partner and organization-specific modules allow for course management, financial statements, and performance reporting.  

An AI-first sleep improvement app that combines advanced algorithms with IoT devices to address issues like insomnia, early waking, and disrupted sleep.
AI models analyze sound detection (snoring, sleep talking, ambient noise) and a 2-week sleep diary to provide personalized insights, dream analysis, and tailored recommendations.
IoT integration with smart masks and wearables (Apple/Android watches) tracks SpO? in real time, triggering vibration alerts to prevent oxygen drops and support early OSA intervention.
Users can connect with sleep experts via AI-enabled chat, audio, and video, while providers manage appointments and communications through a dedicated web interface.
The platform follows a subscription model with free and premium tiers, enabling sleep diagnostic centers to deliver AI-driven insights, IoT monitoring, and expert support for better sleep health.