How dharshini-cloud/netra_ai works
Netra appears to be a MATLAB telemedicine application for image-based clinical assessment, with supporting analytics, digital-twin, federated-learning, and simulation capabilities. The file tree identifies these product areas but provides no README or source excerpts, so invocation order and data transfers cannot be verified; the graph therefore shows components without inferred connections.
Components 23
Application
- Netra App
app/NetraApp.m - App Launcher
launchNetra.m - App Runner
runNetraApp.m - Configuration
config.m
Image Assessment
- Dataset Loading
src/data/loadDataset.m - Image Preprocessing
src/data/preprocessImages.m - Image Quality
src/quality/assessQuality.m - Image Enhancement
src/quality/enhanceImage.m - Lesion Segmentation
src/segmentation/segmentLesions.m - Concept Vectors
src/segmentation/buildConceptVector.m - Disease Grading
src/grading/predictGrade.m - Explainable Reports
src/explainability/generateReport.m
Clinical Support
- Follow-up Monitor
src/clinicalsupport/followUpMonitor.m - Medication Lookup
src/clinicalsupport/medicationLookup.m - Nutrition Guidance
src/clinicalsupport/nutritionGuidance.m - Treatment Pathway
src/clinicalsupport/treatmentPathway.m
Learning and Twins
- Digital Twin
src/digitaltwin/updateTwin.m - Twin Store
src/digitaltwin/twinStore.m - Twin Records
data/twinstore - Federated Rounds
src/federated/runFederatedRounds.m
Simulation and Analytics
- Progress Dashboard
src/analytics/progressDashboard.m - Telemedicine Simulation
simulink/simulateTelemedicine.m
Other components
- Clinician