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.

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.

An AI-first, Gen Z–oriented fashion styling app enabling users to upload wardrobe items, receive personalized outfit suggestions using AI, and engage socially via outfit polls and feeds. The solution leverages Firebase’s scalable cloud backend and integrates OpenAI for prompt-based outfit generation. Users can manage a virtual closet, receive AI alerts on missing wardrobe items, and interact with a community through polls and comments. It also includes an admin panel for moderation, analytics, and subscription management. Monetization is driven through subscription tiers and integrated ads. The product is designed as a progressive MVP with clearly defined “must-have” and “nice-to-have” features to facilitate phased rollout. Post-launch, the client aims to validate market fit and scale with affiliate shopping and influencer integrations.