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.

This project is focused on developing an AI-driven retail platform using the MERN stack (MongoDB, Express.js, React.js, Node.js) to revolutionize the healthcare sector. The platform is designed to streamline product management, order tracking, and user engagement, ensuring a smooth experience for buyers, sellers, and administrators. With features like dynamic category management, personalized product recommendations, and affiliate marketing, it simplifies the journey from discovery to purchase while improving operational efficiency.

The primary objective of this project is to design and implement an event-driven backend system that automates the generation, validation, and delivery of healthcare-related EDI (Electronic Data Interchange) files, such as 834 (Eligibility and Enrollment), 837 (Claims), and 835 (Remittance Advice). These files are essential for secure, standardized, and compliant data exchange between healthcare providers, payers, and regulatory partners.

This system aims to:

• Ensure compliance with HIPAA and EDI X12 standards through rigorous validation (via Cotiviti).
• Enable seamless integration with external vendors like Avesis, Nations Benefits, and Reveleer through SFTP-based delivery mechanisms.
• Maintain operational transparency and traceability using real-time monitoring and logging via SigNoz.
• Support future scalability and workflow orchestration through modular design and integration with AWS services like SQS and Step Functions.