Lucra was inspired by the belief that medical education should be accessible to everyone, regardless of geography or resources. Around the world, students often lack access to textbooks, mentors, and interactive tools, and we wanted to bridge that gap by combining lightweight hardware with powerful AI. Built on a Raspberry Pi system, Lucra delivers three integrated features: an AI-powered medical database that searches conditions by symptoms, a quiz generator that creates adaptive, exam-style practice, and interactive patient simulations that let students practice both diagnostic reasoning and empathetic communication. We built the frontend with React, TailwindCSS, and Framer Motion to ensure smooth, sleek animations, while the backend runs optimized AI models on FastAPI, tailored for low-resource environments. Along the way, we learned that accessibility is just as important as accuracy, that empathy is essential in medical training, and that design can transform adoption. Challenges included optimizing AI to run efficiently on Raspberry Pi, ensuring simulations remained realistic but safe, and balancing response latency with smooth user experience. Ultimately, Lucra is more than a platform — it’s a step toward democratizing medical education by bringing light hardware and the progress of AI to learners everywhere.
Built With
- flask
- next
- tailwind
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