This post is my submission for DEV Education Track: Build Apps with Google AI Studio.

What I Built

I built UK NutriHealth AI, a professional health assessment platform that identifies vitamin and mineral deficiency risks using Google AI Studio and NHS clinical guidelines. The app uses Gemini to create dynamic risk assessment algorithms and generate personalized health recommendations based on UK health statistics.

Key prompts used: "Create a health risk assessment for UK vitamin deficiencies based on NHS guidelines" and "Generate dynamic branching questions for nutritional health screening."

Demo

🔗 Live Demo: beamish-kashata-836ad2.netlify.app
📚 GitHub: github.com/shivas1432/UK-NutriHealth-AI

My Experience

Working with Google AI Studio was surprisingly intuitive for building healthcare applications. The biggest surprise was how accurately Gemini could process medical guidelines and generate clinically relevant risk assessments. I learned that AI can create sophisticated health algorithms that would normally take weeks of research - the platform now identifies 4 major deficiency risks with NHS-grade accuracy. The speed of prototyping complex medical logic was incredible.