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Doctor Dignity is a prototype project exploring how AI-assisted tooling might support compassionate, accessible health guidance for people who struggle to get timely care. The repository centers on a simple end-to-end pipeline—intake of user-reported symptoms, basic triage logic, and clear, supportive messaging—intended to demonstrate how such systems could be built. It emphasizes a humane UX: plain-language prompts, de-jargonized outputs, and guardrails that nudge users toward professional care when needed. The code is designed to be hackable rather than production-grade, giving learners a chance to experiment with NLP flows and lightweight back-end components. It also highlights privacy-aware patterns and cautions that this kind of software must not replace licensed medical advice. As a teaching and ideation vehicle, the project invites contributors to iterate on intent classification, response templates, and safe-use boundaries.
Features
- Simple intake and triage pipeline demonstrating an AI-assisted flow
- Readable, hackable code intended for learning and prototyping
- Emphasis on compassionate, plain-language interactions
- Guardrails and disclaimers to steer users toward professional care
- Modular structure to swap intent classifiers or response templates
- Starting point for exploring privacy-aware handling of sensitive inputs
