Medical Billing is a cloud-based charge capture solution designed for doctors to streamline patient list, accelerate billing, and optimise revenue capture by retrieving patient encounter details from EHR systems and leveraging Azure services. The solution aims to revolutionise healthcare charge capture by providing a user-friendly, efficient, and accurate solution that enhance revenue capture, improve operational efficiency and reduce administrative burdens for healthcare providers and organisations. By automating rounding list, the solution aims to facilitating streamlined patient assessment and service documentation during rounds, thereby enhancing overall workflow efficiency and billing accuracy. 
Built on Microsoft Azure, system leverages Azure App Services for a scalable web application and Azure Kubernetes Service (AKS) for efficient micro services deployment. 
Azure SQL Database and Azure Blob Storage securely manage patient records, financial transactions and medical documents, while Azure Key Vault ensures encryption and compliance with security standards. 
Azure API Management (APIM) enables seamless integration with third-party services.  
To automate claim processing and real-time tracking we have leveraged Azure Logic Apps and Azure Functions streamline data synchronisation and workflow execution.   

AI-powered, cross-platform comprehensive mental wellness platform bridging the gap between personal reflection and professional guidance.

The platform combines traditional journaling with modern tools like AI visuals, music integration, and multimedia uploads, while also enabling secure collaboration with therapists. The app capture inner experiences, give them visual and emotional context, and create a safe space for therapist feedback and peer support — ultimately redefining digital mental health care

The objective of proposed application is to enhance the management of chronic care disease by facilitating comprehensive data collection, treatment adherence, and patient-provider communication. The application aims to address the current lack of real-world data and studies in urology. It enables healthcare providers to monitor patient-reported symptoms, track pain trends, and assess treatment efficac Doctors can access a dashboard displaying all  patients, prioritize cases based on symptom severity, and receive alerts for critical cases. Patients can easily log symptoms, monitor their  scores, and receive reminders for medications and lifestyle changes, ensuring better adherence to treatment plans. It enables secure messaging between patients and providers, allowing for timely updates, treatment adjustments, and symptom reports. Patients can access personalized educational materials, including multimedia resources and chatbot support, to manage their condition effectively. The platform aims to deliver personalized, data-driven care, improve patient outcomes, and contribute valuable real-world evidence to further research and understanding of the problem