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.   

FOA is a modular AI-powered smart factory management platform designed to digitize and streamline maintenance operations, production monitoring, and resource planning for manufacturing units. It helps facilities reduce downtime, optimize costs, and enhance productivity through real-time analytics, automation, and predictive maintenance powered by AI and IoT integrations.

The project involves developing a cross-platform mobile application to help users manage and track their contacts, social media accounts, and personal preferences. The app enables users to maintain detailed profiles, adjust privacy settings, send private messages, and receive notifications.
Users can also add custom contact details, follow or unfollow others, and manage their interests through a two-level categorization system. The application will be deployed on both iOS and Android platforms.