01 · WORKSPACE
Everything in one calm view
Chat, medication routines, and appointment context sit side by side so users can return to daily tasks with less switching.
RESEARCH DEMO · NOT FOR DIAGNOSIS OR TREATMENT · HAI-DEF TERMS APPLY
A chronic pain management app designed for fibromyalgia
I adapted the design around the daily realities of fibromyalgia. HelloFibro brings supportive conversation, medication routines, appointment preparation, and symptom support into one calm interface.
Checking whether the live demo is available…
01 · THE PROBLEM
Designed around difficult days
Fibromyalgia is unpredictable and cognitively exhausting. Symptoms change from day to day, and brain fog can make even simple tasks feel difficult.
I focused the design on clarity, low effort, and useful structure for people managing pain, fatigue, medication routines, and medical appointments.
CHALLENGESymptoms change from day to day
DESIGN RESPONSEClear paths back into the experience
CHALLENGEPain and fatigue reduce available energy
DESIGN RESPONSELow-effort actions and short routines
CHALLENGEBrain fog makes decisions harder
DESIGN RESPONSEUseful structure with fewer choices
02 · VISUAL GALLERY
See the product experience
Two walkthrough videos and captured views show supportive chat, AI-assisted app control, medication routines, and daily context in the live interface.
02 · ROUTINES
Medication setup made short
Catalog-backed fields, dosing times, and notes keep manual entry structured when brain fog makes typing harder.
03 · PREPARATION
Visits tracked with context
Doctor, specialty, timing, and location stay visible so appointment preparation does not get lost between flares.
04 · WALKTHROUGH
Core product demo
Screen recording of the live interface: chat, medication tracking, and the calm workspace layout working together.
05 · AI CONTROL
AI assisted app control demo
In this demo, users can control the app through chat and easily add medication and doctor visits. The AI-assisted interface makes health management simple, fast, and convenient.
03 · THE SOLUTION
Practical support in one calm workspace
HelloFibro adapts familiar chronic pain management tools to fibromyalgia. The interface keeps daily tasks short, readable, and easy to return to when energy or concentration is limited.
01Daily workspaceChat · routines · preparation
02Safety and accessGuardrails · languages · privacy
03Context and inferenceModels · files · medical context
Supportive conversation
Warm, structured responses help users work through symptoms, routines, and questions at their own pace.
Medication tracking
Add medications, mark doses taken, and see adherence at a glance with low-friction interactions.
Appointments
Track upcoming visits and prepare focused questions for a clinician without leaving the flow.
Clear safety boundaries
Urgent situations, model disclosure, and clinical limits remain visible throughout the experience.
Multilingual interface
The hosted UI offers complete interface translations for all 21 selectable locales. English is MedGemma's primary evaluated language; all other model-language paths remain experimental.
View all 21 supported UI languagesIn-memory prototype state
Conversation, medication, and appointment data remain in memory, with verified user isolation required before public launch.
Medical model pathway
The hosted demo runs MedGemma 1.5 4B with a Qwen 1.7B fast path on Hugging Face ZeroGPU.
For the best experience, the app was designed to run with MedGemma 27B locally or on self-hosted GPU.
File analysis
Users can discuss supported documents, spreadsheets, text files, and images in the same conversation, with validated uploads and extracted context.
Fibromyalgia intelligence layer
Detected worsening factors, a structured knowledge service, and guideline checks add relevant context while preserving non-clinical boundaries.
ACCESS · LOCALIZATION
Supported UI languages
The live demo exposes 21 fully translated interface locales. Each matches the in-app language selector. English is MedGemma's primary evaluated language; all other model-language paths remain experimental.
- English (US) United States · Primary MedGemma evaluation language
- English (UK) United Kingdom
- Polski Polish · Poland
- Deutsch German · Germany
- Español Spanish · Spain and Latin America
- Français French · France
- Italiano Italian · Italy
- Nederlands Dutch · Netherlands
- Português Portuguese · Portugal and Brazil
- Svenska Swedish · Sweden
- Norsk Norwegian · Norway
- Dansk Danish · Denmark
- 日本語 Japanese · Japan
- 한국어 Korean · South Korea
- 中文 Chinese · Chinese-speaking regions
- العربية Arabic · Arabic-speaking regions
- עברית Hebrew · Israel
- हिन्दी Hindi · India
- ภาษาไทย Thai · Thailand
- Türkçe Turkish · Türkiye
- Bahasa Indonesia Indonesian · Indonesia
Critical deterministic safety messages may fall back to English. A translated interface does not imply equivalent clinical validation of model output.
04 · LIVE PROOF
Open the protected demo
Desktop-first hosted demo: MedGemma 1.5 4B + Qwen 1.7B on Hugging Face ZeroGPU Space. (slower responses, less capable)
For the best experience, the app was designed to run with MedGemma 27B locally or on self-hosted GPU.
Research demonstration only. Do not use it for diagnosis, treatment,
emergencies, automated healthcare decisions, or professional medical practice.
The hosted demo uses MedGemma 1.5 4B + Qwen 1.7B on Hugging Face ZeroGPU Space. (slower responses, less capable)
For the best experience, the app was designed to run with MedGemma 27B locally or on self-hosted GPU.
DESKTOP LIVE DEMO
Full workspace on Hugging Face ZeroGPU
The hosted demo is designed for desktop: chat, medication routines, and appointment tools stay visible together. Mobile works, but the full layout is best on a wider screen.
05 · ARCHITECTURE
How the application handles safety
The public deployment places red-flag checks before inference and sanitizes the completed response before it reaches the interface. User-isolated in-memory state is also required before launch.
USER
GRADIO UI
CHAT HANDLER
SAFETY CHECKS
LLM PROVIDER
SANITIZED RESPONSE
STREAMED TO UI
SESSION STATEMEDICATIONS · APPOINTMENTS · CONVERSATION
FILE CONTEXTVALIDATION · TEXT EXTRACTION · TABLE PREVIEW · IMAGE INPUT
MEDICAL INTELLIGENCEFACTOR DETECTION · KNOWLEDGE SERVICE · GUIDELINE CHECKS
PYTHON 3.10+ · GRADIO 6 · PYDANTIC 2 · OPENROUTER / MEDGEMMA · DOCKER
06 · SAFETY & TRUST
Scope and safety boundaries
Support with clear context
- Prototype data stays in memory. Public launch also requires verified user isolation.
- The application displays its active model and provider.
Decisions stay with people
- Health decisions stay with the user and qualified medical professionals.
- Emergency situations require local emergency services.
- This prototype has no clinical validation or HIPAA certification.
MedGemma access has explicit conditions
- The demo requires acceptance of the HAI-DEF terms before model use.
- Diagnosis, treatment, emergencies, automated healthcare decisions, and unlicensed medical practice are outside its permitted scope.
- Read the HAI-DEF Terms and Prohibited Use Policy.
07 · ENGINEERING HIGHLIGHTS
Implementation details
UIGradio 6 messages, streaming, responsive custom styling
DATAPydantic models, i18n JSON, session-scoped state
SECURITYRate limiting, input sanitization, API-key masking
AGENTSFeature-flagged CARE orchestrator with a deterministic public safety path
DEPLOYMENTZeroGPU demo with MedGemma 1.5 4B + Qwen 1.7B
For the best experience, the app was designed to run with MedGemma 27B locally or on self-hosted GPU
For the best experience, the app was designed to run with MedGemma 27B locally or on self-hosted GPU
08 · INFRASTRUCTURE LANDSCAPE
A patient-facing application shaped by healthcare engineering
HelloFibro reflects my work across health AI UX, agent systems, and careful use of language models. It complements FhirFlame, my healthcare data platform project.
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