Clinical-Mind addresses a critical gap in global medical education: students practice on textbooks, not patients. When they encounter their first real patient, they freeze—leading to preventable mistakes. Our solution uses five specialized AI agents working in parallel to simulate a complete teaching hospital. Unlike single-AI chatbots, Clinical-Mind employs agents for Patient (multilingual), Family, Nurse, Lab Technician, and Senior Doctor—each powered by Claude Opus 4.6's Extended Thinking. The innovation: Extended Thinking becomes a pedagogical tool. Students see expert reasoning step-by-step, learning HOW to think clinically, not just what to conclude. AI shows the process; humans make the diagnosis. We launched in India (1.3M students, Hindi/English) to prove the hardest case. The architecture is globally scalable—swappable knowledge bases enable instant localization to any medical system, language, or culture. Live demo: huggingface.co/spaces/arjitmat/clinical-mind
Team
Placement
Participant
