The AI Fitness Mobile Application is an AI-powered fitness coaching platform designed to help users improve their fitness, performance, and overall health through personalized training and nutrition programs. Acting as an intelligent virtual coach, the system adapts workouts and guidance based on individual goals, fitness level, lifestyle and continuous user feedback.

The application combines running and walking plans, strength training, flexibility & mobility routines and nutrition planning into a single unified experience. Through a detailed onboarding process, the AI generates customized programs that evolve over time, ensuring progressive development while minimizing injury risk. 

The platform includes a unified training calendar, progress tracking, workout logging, and an interactive chatbot that communicates in an encouraging, science-based and goal-focused manner without providing medical advice.

Delivered as a cross-platform mobile app (iOS & Android), the solution supports a free trial model followed by subscription-based access, along with an admin dashboard for monitoring users, engagement and subscriptions.

The project involves developing a cross-platform mobile application to help users manage and track their contacts, social media accounts, and personal preferences. The app enables users to maintain detailed profiles, adjust privacy settings, send private messages, and receive notifications.
Users can also add custom contact details, follow or unfollow others, and manage their interests through a two-level categorization system. The application will be deployed on both iOS and Android platforms.

To develop a FHIR EHR Builder Application that maps database data to FHIR server resources. This enables EHR systems to efficiently share, retrieve, and post healthcare data using standardized FHIR-compliant APIs. The system ensures seamless interoperability between healthcare applications, supporting EPIC and Allscripts EHR platforms.