This MVP application will be a short-form video-sharing platform similar to TikTok. Users can create, edit, and share videos with a global audience. The app will feature a personalized feed, trending content, and interactive elements like comments, likes, and shares.

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.   

Application aims to revolutionize the digital fitness landscape by offering a smart, AI-powered mobile application that delivers hyper-personalized workout experiences. This cross-platform app will empower users to achieve their health and fitness goals through dynamic daily workout plans, real-time posture feedback, and seamless integration with wearable devices such as Fitbit and Apple Watch. The application leverages advanced technologies like OpenAI for adaptive workout generation, PoseTracker for form analysis, and biometric data from wearables to ensure each user receives the most effective and safe workout guidance. Users will be guided through a streamlined onboarding experience that personalizes their fitness journey from day one—factoring in goals, experience level, equipment access and any medical conditions.