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

Proposed solution will be a hub of education system, proposed platform contain multiple courses which falls in different services / categories like: professionals / young learners / certified courses / language programs and so on. Also, proposed platform provides an option to the user to choose subjects and relevant tutors so that they can connect on 1-0-1 & group sessions as well. Users will enrol themselves to the course / tutor after paying the course fee and tuition fee & accordingly once payment is being done they will get notified with the details to access the LMS part. The architecture of the proposed solution will be robust and fully scalable as well as all the contents of the landing page will be managed by Site Admin itself. On this platform admin will create the courses / language programs under each services along with course name / description and will be pushed to the Moodle LMS admin. And in the Moodle LMS site admin will upload the course contents and further settings of the courses will be done on Moodle site.

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.