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The proposed solution is a mobile-first, AI-powered wellness platform designed to empower users to take control of their health through real-time insights, proactive recommendations, and an engaging, gamified user experience. By integrating data from wearables, lab results, medical history, and electronic health records (EHR/EMR), the platform delivers a comprehensive and personalized wellness journey. Advanced AI/ML models analyze this data to offer predictive insights and tailored health guidance, while seamless integration with third-party systems such as LabCorp and Quest Diagnostics ensures a truly connected and data-driven experience.

Its is a SaaS based extensive e-claim processing software for different practices to validate the quantity as well as quality of claim processes. HIPAA and HITECT act compliant medical office management (OS) application with a focus on making healthcare claims easy, efficient and economic. 

An AI-powered outbound engagement platform that automates voice calls, follow-ups, and data syncing for recruitment agencies, service providers, and customer support teams. It integrates seamlessly with CRMs, calendars, and telephony systems to handle high-volume call campaigns using intelligent voice agents. The system uses natural voice synthesis, sentiment detection, and real-time syncing to streamline outreach, reduce manual workload, and increase engagement.

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.

A solution for the transportation management company for smartly managing client’s mobility requirements and the resources. It provides high quality, innovative transportation services that raise the bar for efficiency, cost-effectiveness, driver safety and accountability. This is primarily used for last mile of patient journey who cannot move on their own. The request is generated from the medical facilities based on appointments schedules and the dispatching request is made to the driver from the area ensuring the last mile is managed and paid. 

The intent of the application is to create SOAP notes for the patient history by using chatGPT and a private knowledge base. The propriatory extension parses patient history from the patient management website and sends it to the backend API. The backend API receives the patient history and returns the generated SOAP notes to the client extension.