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.

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.

In this Project we use the Open Dental API to pull and display appointments in existing C# web application as well as syncing patient demographics and insurance payer information into Open Dental using its FHIR APIs helping eliminate the need for manual data entry by billing staff.