Doc+

Inspiration

Doctors often struggle to create clear medical guides and explain dosages or precautions in ways patients fully understand. Doc+ introduces an AI-powered assistant to help doctors prepare guidance, summarize patient history, and ensure patients receive clear, actionable instructions.

At the same time, patients face challenges accessing quality, affordable therapy. Doc+ provides an empathetic AI companion for mental health support, bridging gaps in therapy accessibility.


What It Does

For Doctors

  • Answer patient-related questions about conditions, treatments, and records.
  • Summarize medical history and patient context on demand.
  • Generate treatment, diet, and lifestyle plans tailored to the patient.
  • Suggest diagnostic tests and follow-ups when relevant.
  • Provide patient-friendly summaries in simple, clear terms.

For Patients

  • Act as a supportive therapist for stress and emotional well-being.
  • Offer empathetic listening and coping strategies.
  • Provide mindfulness, breathing, and relaxation guidance.
  • Remember past conversations for continuity and trust.
  • Encourage professional help when serious concerns arise.
  • Maintain absolute confidentiality and a supportive tone.

Doctor–Patient Communication

  • Real-time one-to-one secure chat between doctor and patient.
  • Messages are stored securely within the system, ensuring privacy.
  • Unlike many SaaS platforms, this communication is free for both sides.

How We Built It

Component Technology Used
Frontend React + Tailwind CSS
Backend Node.js API server
Database Supabase (auth + storage)
AI Engine GPT-OSS-20B (via OpenRouter)

Challenges We Faced

“Every challenge was an opportunity to refine Doc+.”

  • Implementing secure authentication for patients after doctor registration.
  • Shifting from local LM Studio hosting to OpenRouter deployment for SaaS accessibility.

Accomplishments We’re Proud Of

  • Built a privacy-first AI assistant that supports both doctors and patients.
  • Combined clinical support + therapy support in one platform.
  • Delivered real-time, free doctor–patient chat with strong data privacy.

What’s Next

  • Add Retrieval-Augmented Generation (RAG) for analyzing medical PDFs and reports.
  • Integrate vision models for X-rays and scans.
  • Enable voice-based assistants for patients.
  • Provide Docker-based hospital deployment for on-premise security.

Summary

Doc+ redefines how AI can assist in healthcare:

  • Smarter doctors
  • Supported patients
  • Communication that’s private, free, and accessible

Built With

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Updates

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Frontend and Documentation Contribution I developed the comprehensive frontend interface for the Doc+ Medical Assistant, building the entire user experience with React and TypeScript. This includes creating the ChatWindow component with real-time messaging capabilities, implementing role-based UI for doctors and patients, designing intuitive file upload functionality with drag-and-drop support, developing the patient mention system for doctors, and integrating responsive design with shadcn/ui components. I also handled state management for message history, loading states, error handling, and seamless AI response rendering with custom Markdown components, ensuring a HIPAA-compliant, accessible, and user-friendly healthcare communication platform. Additionally, I authored the complete project documentation, including the README file with setup instructions, feature descriptions, deployment guides, and technical specifications to facilitate easy onboarding and maintenance.

Submission history