ruralcare-ai-gemma4

RuralCare AI uses a layered architecture where the Blazor frontend captures multilingual patient intake, the .NET API coordinates workflow execution, and the AI Orchestrator invokes Gemma 4 for translation, summarization, SOAP note generation, and triage support. Shared contracts isolate transport models, while future modules support OCR, offline sync, and healthcare interoperability. It is A Kaggle Impact Submission Powered by Gemma 4 to demonstrate the method of harnessing the power of Gemma 4 to drive positive change and global impact.

Important note: In order to test this application against real time Gemma 4 model on HUGGING FACE:

The model I chose on Hugging Face is: google/gemma-4-E2B-it

My ApiKey with READ ONLY ACCESS to Gemma 4 model on HUGIING FACE: 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

(it is disabled now as I published it along wth code to GitHub reposiotry, so HUGGING FACE automtically disables the security key, hence a new Api Key / security code is required for testing this product).

Subtitle

An offline-first multimodal healthcare intelligence platform powered by Gemma 4

Architecture Diagrams.

Actual Architecture diagram is below displaying classes and work flow:

RuralCare AI

An offline-first multimodal healthcare intelligence platform powered by Gemma 4

Kaggle Impact Submission • Health & Sciences Track • Built with Gemma 4 edge + cloud reasoning

---

Problem Statement

Rural and underserved healthcare environments often lack:

• specialist access
• reliable internet
• multilingual clinical documentation
• real-time triage support
• continuity of patient records

RuralCare AI solves this using Gemma 4 edge intelligence, agentic retrieval, and multimodal clinical reasoning.

---

Core Features of this application

• Multilingual patient intake
• SOAP note generation
• Handwritten referral OCR + summarization
• Wound image triage support
• Risk scoring + escalation thresholds
• Cloud sync when internet returns
• WHO / CDC / VA medical guideline retrieval
• Explainable and safe clinician-in-the-loop workflows

---

Gemma 4 Usage

Edge inference

• Gemma 4 E4B
• local triage reasoning
• SOAP note generation
• referral summarization
• multilingual intake

Cloud escalation

• Gemma 4 26B
• longitudinal case reasoning
• population risk analytics
• outbreak clustering
• advanced retrieval workflows

Native function calling

• triage scoring
• FHIR patient lookup
• drug interaction checks
• offline sync queue
• escalation routing

---

Code File(s) and Folder Structure

ruralcare-ai-gemma4/
│
├── README.md
├── LICENSE
├── .gitignore
├── RuralCareAI.sln
│
├── docs/
│   ├── architecture-diagram.png
│   ├── kaggle-writeup.md
│   ├── demo-storyboard.md
│   └── deployment-guide.md
│
├── media/
│   ├── cover-image.png
│   ├── screenshots/
│   └── demo-video-script.md
│
├── benchmarks/
│   ├── triage-accuracy.md
│   └── edge-vs-cloud-latency.md
│
├── src/
│   ├── RuralCare.Web/
│   │   ├── Pages/
│   │   │   ├── Home.razor
│   │   │   ├── Intake.razor
│   │   │   ├── Triage.razor
│   │   │   └── ReferralUpload.razor
│   │   └── Program.cs
│   │
│   ├── RuralCare.Api/
│   │   ├── Controllers/
│   │   │   ├── IntakeController.cs
│   │   │   ├── TriageController.cs
│   │   │   └── ReferralController.cs
│   │   ├── Services/
│   │   │   ├── TriageService.cs
│   │   │   └── GemmaOrchestrator.cs
│   │   ├── Models/
│   │   │   ├── PatientIntakeRequest.cs
│   │   │   └── TriageResponse.cs
│   │   └── Program.cs
│   │
│   ├── RuralCare.AI.Orchestrator/
│   │   ├── Agents/
│   │   │   ├── TriageAgent.cs
│   │   │   ├── ReferralAgent.cs
│   │   │   └── RetrievalAgent.cs
│   │   └── Functions/
│   │       ├── RiskScoreFunction.cs
│   │       └── FhirLookupFunction.cs
│   │
│   ├── RuralCare.OCR/
│   │   └── ReferralOcrService.cs
│   │
│   └── RuralCare.Infrastructure/
│       ├── Persistence/
│       ├── Logging/
│       └── Sync/
│
└── tests/
    ├── RuralCare.Api.Tests/
    └── RuralCare.AI.Tests/