Application aims to revolutionize the digital fitness landscape by offering a smart, AI-powered mobile application that delivers hyper-personalized workout experiences. This cross-platform app will empower users to achieve their health and fitness goals through dynamic daily workout plans, real-time posture feedback, and seamless integration with wearable devices such as Fitbit and Apple Watch. The application leverages advanced technologies like OpenAI for adaptive workout generation, PoseTracker for form analysis, and biometric data from wearables to ensure each user receives the most effective and safe workout guidance. Users will be guided through a streamlined onboarding experience that personalizes their fitness journey from day one—factoring in goals, experience level, equipment access and any medical conditions.

The project aims to develop a comprehensive e-commerce portal for SWP, an international photography agency specializing in school photography. The portal is designed to allow parents to view and purchase student photos, manage their children’s profiles, and communicate directly with SWP.
The development is divided into two phases. Phase 1 includes building the portal's core functionalities such as photo uploads, client and job management, access control, user roles, and basic reporting. Phase 2 focuses on implementing complete back-end services and workflows to integrate with the front-end components established in Phase 1.

The primary objective of the platform is to transform the neuro clinic’s data into an intelligent, and research-enabling asset by implementing a Clinical Decision Support and Research System (CDSS) that consolidates patient, operational, and financial information into one secure, analytics-driven environment. The solution provides real-time insights for clinical decision-making, research enablement, and revenue visibility, ensuring HIPAA-compliant data governance. It will also streamline operational workflows by automating performance tracking, monitoring patient flow, and improving scheduling efficiency, while strengthening financial management through comprehensive visibility into revenue, billing accuracy, and payer mix analysis.