The application is developed to manage various functions of an online store, including user authentication, inventory control, sales tracking, and reporting. It also supports automated email and SMS notifications. The system is built using Angular for the frontend and Node.js for the backend, with full support for multilingual usage, including RTL and LTR display for Arabic and English.

The app aims to help individuals with sleep issues like difficulty falling asleep, waking up too early, or trouble resuming sleep by analyzing sleep sounds through the device’s microphone. It will leverage AI to classify sleep sounds, detect snoring, and assess sleep apnea risk, providing personalized insights and recommendations. Using AI-driven analysis, the app will offer real-time reports and track sleep patterns, all while functioning offline. Additional features include meditation videos, sleep tracking, and relaxation tools to improve sleep hygiene.

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.