BioLens - Agentic AI Diagnostic Field Assistant

🏥 Enterprise-Grade Healthcare AI for Resource-Constrained Settings

🎯 Gemini 3 Global Hackathon Submission

BioLens is an offline-capable, agentic AI diagnostic assistant designed specifically for healthcare workers in rural and low-resource settings. It leverages Google's Gemini 3 API with a novel multi-agent architecture to provide differential diagnoses and treatment protocols adapted to local resources.

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🌟 Key Innovation: Agentic AI Design Pattern

Unlike traditional monolithic AI systems, BioLens uses autonomous specialized agents that collaborate using the ReAct (Reasoning + Acting) pattern.

Why Agentic?

1. Specialized Expertise: Each agent focuses on one domain
2. Autonomous Decision-Making: Agents can self-correct and iterate
3. Transparent Reasoning: Chain-of-Thought output shows conclusions
4. Offline Resilience: Agents operate independently with cached knowledge

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🏗️ Architecture

Clean Architecture + DDD + CQRS + Agentic AI

BioLens/
├── BioLens.Domain/           # Core business logic
├── BioLens.Application/      # Use cases & CQRS
├── BioLens.Infrastructure/   # External services
└── BioLens.Agents/          # 🤖 Agentic AI Layer

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🚀 Quick Start

# Restore packages
dotnet restore

# Build
dotnet build

# Run tests
dotnet test

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🤖 Agent Architecture

1. DiagnosticCoordinatorAgent - Orchestrates workflow
2. ImageAnalysisAgent - Analyzes medical images
3. AudioTranscriptionAgent - Extracts symptoms from audio
4. MedicalReasoningAgent - Generates differential diagnoses
5. TreatmentPlannerAgent - Creates resource-aware protocols

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🎯 Hackathon Alignment

• Technical Execution (40%): Clean Architecture, Design Patterns, Production-Ready
• Innovation (30%): Agentic AI, Context-Aware, Offline-First
• Impact (20%): Serves 2+ billion people in healthcare deserts
• Presentation (10%): Clear docs, demo-ready

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Built with ❤️ for the Gemini 3 Global Hackathon