onmihealth ai hub

Inspiration

We noticed that health data is scattered across dozens of apps—one for sleep, one for steps, another for calories. We wanted to create a "Single Source of Truth" where AI acts as a personal health curator, finding the hidden links between how you eat, sleep, and feel.

What it does

OmniHealth AI Hub is an all-in-one health command center. It features: Unified Dashboard: A sleek, white-and-green glassmorphism interface. AI Health Agent: A chatbot that "remembers" your data and provides actionable insights. Omni-Login: Secure authentication with "Remember Me" persistence for a seamless experience.

How we built it

We used MeDo’s "Vibe Coding" platform to generate a full-stack application through natural language prompts. Frontend: React with clean CSS animations and transitions for a Replit-inspired feel. Backend & DB: MeDo’s built-in PostgreSQL database to store user health metrics securely. AI Integration: Large Language Model (LLM) orchestration to analyze multi-variable health data.

Challenges we ran into

The biggest challenge was creating a cohesive "mix" of different health apps into one layout without it feeling cluttered. We had to iterate on our "vibe" prompts to ensure the animations felt snappy but not distracting. Accomplishments that we're proud of Successfully building a platform that feels like 5 apps in one, all while maintaining a high-performance UI and functional AI memory.

What we learned

We learned how to leverage multi-turn chat in MeDo to refine complex UI components. We also gained experience in designing for "Zero-Waste" health—only asking for the data that actually helps the AI give better advice.

What's next for OmniHealth AI Hub

We plan to integrate wearable device APIs (like Garmin and Apple Health) directly so users don't have to log data manually, making it a truly passive "Auto-Health" platform.