The application is designed to help users explore, express, and share their "micro moments" brief emotional states or situational experiences. Core features include the Moments Dial for selecting emotions, a personal Moments Diary, and a Public White Board for anonymous or public sharing.
The app supports various expression types such as images, videos, GIFs, quotes, and poetry. It also includes an advertiser dashboard for targeted moment-based campaigns. Performance, clean UI/UX, offline usability, and a transition from AMP to PWA are key priorities for this platform.

In client’s existing patient healthcare insurance eligibility verification and claims processing system (Claims EMR), we are developing an AI agent that retrieves SOAP/encounter note data via a REST API. To compliance with HIPAA, patient data is first de-identified using AWS Comprehend to remove any PHI and then sent to the ChatGPT-4o model to suggest ICD/CPT codes. These code suggestions are displayed to the medical biller for review before submission to the integrated clearinghouse. AI agent we are building to assist medical billers by eliminating the need to read the entire SOAP note thereby saving time and reducing their workload.

The social media application project aims to create a comprehensive platform that allows users to connect, communicate, and share content. The application will include features for user registration, profile management, friend lists, forums, messaging, and more. It will also have a robust backend management system for administrators to manage users, content, and system settings.

The major objective of this bilingual app is to prevent community spread of the virus. Anonymous users get registered and the app uses BLE to scan the nearby users. It notifies the user in case there is nearby any positive case in the last 14 days.

To streamline the patient referral process for ophthalmology practices and ensure efficient transfer of care between the providers while maximizing the potential of every referral source.

The primary objective of this project is to automate and streamline the prior authorization process for therapists, enabling them to focus on providing high-quality treatments to enhance the patient experience. To achieve this goal, we’ve integrated Epic, Cerner, and Allscripts EHR systems, which will allow us to extract pertinent patient and insurance information, automate patient eligibility verification through EDI 270 and 271 transactions, and establish an easy-to-use Admin Portal for managing staff, patients, and psychologists.

Moreover, it will provide notification and reporting features to keep users informed about patients' verification status and any exceptions that require follow-up actions. Having a positive impact on patient care, increasing productivity and cost savings for both therapists and their patients.