Developed an algorithm for a tile manufacturing company that can analyze photographs of tile's surface to determine the smoothness. Various images were given as the data set for the development of an algorithm to find the roughness of the surface of the product. The algorithm is fed with two images namely reference image and distorted image and after comparing as well as analyzing both images, An estimated distortion percentage is calculated which is aligned with the human judgment in comparing the two images.

Atorvia is a next-generation online travel marketplace designed to simplify tour booking and management. It provides an end-to-end solution where travelers can search, filter, and book tours seamlessly, while suppliers can list, manage, and sell their tours efficiently.
The platform offers a dynamic tour discovery experience with advanced search and filtering options, secure payment gateways, multilingual support, and automated supplier verification. It ensures a frictionless experience for both travelers and suppliers, optimizing the booking process and enhancing transparency with features like tour ratings, user reviews, and real-time supplier interactions.

The main objective of  this application is to make the patient referral process simple for both provider and patient. It let the provider refer a patient within few clicks and both patient and referred doctor get notified about the referral details along with patient contact infomation for further processing with a secure channel.

Platform provides a comprehensive solution to support ACOs as they track and report the necessary quality metrics.
 

It is a platform used as a symptom checker which enables users to check the histamine of their food by simply logging their daily food intake reactions which can be good or bad. Based on every reaction, the analytics is generated which determines the histamine of food. It includes a searchable list of high histamine food items in real-time along with suggestions

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.

This solution transforms the reimbursement experience by not only handling the end-to-end billing and revenue cycle processes but also paying physicians upfront for their services. 

This solution gets the healthcare providers paid with minimal administrative costs. It represents a paradigm shift that puts user experience at the core while elevating the quality, increases cash flows and reducing transaction and administrative costs.