The Chat project involves the implementation of dynamic and interactive data visualization features, specifically focusing on Bar Charts and Pie Charts. These charts are designed to display multiple measures with customizable display options, enhancing the user's ability to analyze and interpret data effectively.

The platform aims to bridge critical gaps in the U.S. healthcare system by empowering patients and caregivers with the tools they need to self-advocate, prepare for short physician visits, and coordinate care effectively. It provides an affordable alternative to costly concierge medicine while ensuring patients feel supported, informed, and confident in their health journey.

It is an advocacy-based membership telehealth platform that provides patients and caregivers with trusted education, preparation tools, and access to physician advocates. It helps users save and organize questions ahead of their appointments and use them during secure telehealth consults, making limited physician time more effective.

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.