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.

This digital platform is designed for radiologists and imaging professionals, offering a secure and streamlined solution to convert faxed imaging request forms into structured digital data. By leveraging advanced AI for data extraction and processing, it simplifies the traditional fax-based workflow, enabling healthcare experts to review, update, and manage imaging protocols with ease. Operating within a fully HIPAA and PIPEDA-compliant environment, the platform addresses the unique challenges of medical imaging management, ensuring efficiency, accuracy, and enhanced patient care throughout the diagnostic process.

AI-powered, cross-platform mobile application is designed to empower women through personalized health insights, cycle tracking, and holistic self-care tools. Built for individuals and families looking to better understand and manage menstrual health, mood, and lifestyle factors, the system delivers a unified experience that combines tracking, analysis, community support, and privacy-first data sharing.

It automates and personalizes the full spectrum of women’s wellness — from guided onboarding and cycle prediction to mood, symptom, and lifestyle logging, private journaling, partner/family sharing, and subscription-based premium services. The platform incorporates innovations such as AI-based recommendations, predictive alerts, granular permission controls, and Google/iCal synchronization, offering a seamless and secure environment for users to track their health and connect with trusted support networks.