The project involves building a SaaS-based web portal that enables restaurants to generate unique QR codes for each table and for takeaway orders. When scanned, these QR codes allow customers to view a digital menu, place orders, and select payment options such as PayNow or PayLater. The system provides restaurant owners with an admin panel to manage menus, orders, payments, and subscription plans.
Additionally, a mobile app was developed for restaurant staff to manage incoming orders, track payment status, and receive alerts. The platform includes customizable themes, reporting tools, and supports different subscription models.

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.   

An AI-first sleep improvement app that combines advanced algorithms with IoT devices to address issues like insomnia, early waking, and disrupted sleep.
AI models analyze sound detection (snoring, sleep talking, ambient noise) and a 2-week sleep diary to provide personalized insights, dream analysis, and tailored recommendations.
IoT integration with smart masks and wearables (Apple/Android watches) tracks SpO? in real time, triggering vibration alerts to prevent oxygen drops and support early OSA intervention.
Users can connect with sleep experts via AI-enabled chat, audio, and video, while providers manage appointments and communications through a dedicated web interface.
The platform follows a subscription model with free and premium tiers, enabling sleep diagnostic centers to deliver AI-driven insights, IoT monitoring, and expert support for better sleep health.