ClinIQ

Inspiration Doctors are nothing less than gods to me. I have believed that since childhood, watching them walk in and change everything with just their knowledge and calm. But I also watched how hard that journey is. Books stacked to the ceiling, endless theory, years of study before you even see a real patient. When I saw how much medical students carry, I wanted to do something small to make that path a little lighter. ClinIQ is my attempt at that — a simple tool where students can practice real clinical thinking, train themselves at their own pace, and build the confidence they need before they step into that role the world trusts so deeply.

What it does ClinIQ is a clinical case simulation app for medical students. Users work through fictional patient scenarios, take history, review investigations, and submit a diagnosis and treatment plan. An AI model then provides structured feedback on their clinical reasoning across four areas: Diagnosis, Investigations, Management, and Communication. ⚠️ ClinIQ is strictly an educational tool for learning purposes only. It is not a medical device and is not intended for real clinical decision making. How we built it React + TypeScript + Tailwind CSS for the frontend, Zustand for state management, and the Anthropic Claude API for AI-generated feedback. All patient cases are fictional and created solely for educational simulation purposes. Challenges we ran into Designing an AI evaluation prompt that gives consistent, fair, and educationally useful feedback without being misleading took significant iteration. Getting the mobile layout pixel-perfect across all screen sizes was also more challenging than expected. Accomplishments that we're proud of A fully functional case simulation flow — from patient interaction to AI feedback — that feels polished and purposeful. The feedback system is honest and structured rather than generic. What we learned Prompt engineering for educational AI requires careful calibration. We also learned how much students value honest, specific feedback over vague encouragement. What's next for ClinIQ Voice-based patient interaction, a professor dashboard for assigning cases, and expanding the case library across more specialties. We hope to work with medical educators to align content with established curricula.

Built With

• anthropicapi
• medo
• react
• tailwindcss
• typescript
• zustand