It is an in-venue restaurant ordering system that allows customers to pre-order food for on-table delivery or pickup, eliminating the need to wait in long queues. The system will consist of a mobile application for customers and a web-based backend for restaurant management.

Mandate360 functions as a personalized AI leadership companion that supports users across their leadership journey—from goal setting and personal branding to networking, progress tracking, and skill development. It is designed to fill the gaps left by traditional mentorship, undefined career paths, and reactive leadership training models.

The app’s core functionality is structured into seven intelligent modules, each leveraging AI/ML technologies such as natural language processing, sentiment analysis, predictive analytics, and personalized content recommendations.

The solution query the DICOM server, upload and store the DICOM files on the cloud and share the same file in different formats like HL7 format for the doctors/ third party partners and JPEG format to mothers.

The development of the solution involves following processes-

• Querying the DICOM server, uploading to cloud and storing to share the same file in different formats basically HL7 format for the doctors/ third party providers and JPEG format to mothers.
• Admin portal to share and manage the file sharing in different formats to different associated providers.
• Automate sharing of data (DICOM files) with mothers.
• Twilio integration to share data (images) on email or texts specifically to mothers.
• Patients list to be displayed on doctor’s dashboard accessed through HL7 message.
• New features- DICOM viewer for the doctors/ partners (Client will select the pre-ferred viewer from the links shared)
• Multi-tenancy and micro-services architecture.
• Super Admin portal to onboard and manage clinics.
• Subscription plan for the on-boarded clinics