Dental EHR is a comprehensive electronic health record system designed to enhance the efficiency and accuracy of dental practice management. This platform streamlines patient scheduling, appointment tracking, treatment documentation, and communication, ensuring a seamless experience for both providers and patients.
It provides real-time patient flow tracking, enabling dental staff to monitor which patients have arrived, their appointment details, and their assigned provider or treatment room. The system allows easy modifications to room assignments and provider scheduling, ensuring better patient care coordination. Flexible appointment scheduling is integrated, allowing clinics to create, edit, and manage bookings in daily, weekly, and monthly views while reducing no-shows through automated appointment reminders.
For documentation and communication, the system offers custom letter generation, which automatically fills referral or patient letters with relevant details from stored records. Comprehensive patient information management ensures easy access to patient history, treatment records, and previous interactions, all displayed in an intuitive format. Additionally, secure authentication is implemented, allowing seamless transitions between desktop and web applications while maintaining data privacy and security compliance.

It is a digital tipping and peer-to-peer payment platform designed to simplify, modernize, and enhance the tipping process for service professionals, creators, and gig workers. It empowers individuals to receive cashless tips directly through digital payments, providing an easy, secure, and fast way for customers and supporters to express appreciation. The platform is ideal for industries where cash tips are common but declining due to the rise of cashless transactions. 

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.