AI Understanding Retinal Analysis 👁️

AURA Eyes is a state-of-the-art retinal vascular screening platform designed to empower clinical reviews through AI. The system streamlines medical workflows, enabling teams to transition from image capture to diagnostic decisions with unprecedented efficiency.

The system is engineered to achieve three primary outcomes:

• Accelerate retinal screening through high-precision AI-assisted analysis.
• Optimize interactions between Patients, Clinics, and Ophthalmologists.
• Ensure medical workflows remain auditable, secure, and strictly role-based.

• Retinal Image Upload: Support for high-resolution medical imaging review.
• AI-Assisted Diagnostics: Generation of Heatmaps and explanatory results for rapid screening.
• Professional Validation: Final diagnosis confirmation and adjustment by certified Ophthalmologists.

• Secure Access: Authentication via OTP and Google OAuth 2.0.
• Seamless Booking: Direct appointment scheduling and consultation requests.
• Health Tracking: Real-time screening results tracking and post-diagnosis support.

• Credential Verification: Strict validation of Ophthalmologist medical licenses.
• Case Management: Efficient dashboard for availability control and clinical case review.
• Tele-Consultation: Secure real-time chat and collaboration tools for diagnostic flows.

• Institutional Management: Approval and activation of Clinic/Hospital accounts.
• Financial Oversight: Billing automation, revenue sharing, and operational reporting.

The Core API manages business logic, Role-Based Access Control (RBAC), clinic integrations, and scheduling. Built with Clean Architecture for maximum scalability and security.

The User Interface platform provides a specialized dashboard for Ophthalmologists and a responsive portal for Patients, featuring a high-performance Retinal Imaging Viewer.

Handles Machine Learning workloads, including Retinal Vessel Segmentation, anomaly detection, and diagnostic Heatmap generation to accelerate clinical review.

graph TD
    Client[Client / Web Browser]
    
    subgraph "AuraEyes FE (React/Vite)"
        UI[User Interface]
        Viewer[Retinal Image Viewer]
    end
    
    subgraph "AuraEyes BE (.NET 8)"
        API[API Gateway & Controllers]
        Auth[Authentication & Security]
        Logic[Business Logic & Services]
        DB[(PostgreSQL Database)]
    end
    
    subgraph "AURA AI (Python)"
        AI_API[FastAPI Interface]
        Model[PyTorch Segmentation Model]
    end
    
    Client <-->|HTTPS/WSS| UI
    UI <-->|REST API| API
    Viewer -->|DICOM / Images| API
    
    API <--> Auth
    API <--> Logic
    Logic <--> DB
    
    Logic <-->|HTTP / Request| AI_API
    AI_API <--> Model

Hoàng Quốc An Leader anhqse181520@fpt.edu.vn

Trần Đình Thịnh Member thinhtdse181531@fpt.edu.vn

Đào Công An Phước Member phuocdcase180581@fpt.edu.vn

Nguyễn Việt Member vietnse180672@fpt.edu.vn

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• Backend Documentation
• Frontend Documentation