A complete laundry services marketplace platform covering both B2B & B2C aspects. This system is allowing service providers manage their end-to-end business operations starting from services management to order completion. With just a few taps, users can narrow down services by different types like stain removal or express ironing, price, or ratings. This way, they can instantly find exactly what they need, without getting frustrated by irrelevant results. By making the search process simple and fast, you enhance the user experience, ensuring both customer satisfaction and loyalty.

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.

To develop a next-generation Smart LED Shoes ecosystem that seamlessly integrates IoT, e-commerce, and social engagement into a single digital experience. The LED Shoes App empowers users to personalize lighting effects, connect with friends through GPS-based features, and engage with the brand via a connected lifestyle platform. The platform merges hardware innovation with mobile and web solutions, transforming smart shoes into an interactive lifestyle product.