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.

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.

It is a wellness platform focused initially on women’s health. The app aims to empower users with personalized, science-backed health insights by integrating a wide range of data sources, including wearable devices, lab test results, menstrual cycle tracking, sleep quality, nutrition, hydration, activity levels, and mood. Unlike fragmented health apps, It unifies these data points into a single intelligent system that identifies patterns and delivers actionable recommendations. It offers real-time wellness scores, long-term health plans, and condition-specific suggestions for issues such as PCOS, hormonal imbalances, and menopause.