Auge Cloud

Auge Cloud – AI-Powered Teleophthalmology & Retinal Imaging Platform

Auge Cloud is a multi-portal teleophthalmology platform developed to support opticians, ophthalmologists, and patients through AI-assisted retinal disease screening, medical image analysis, and collaborative diagnosis.

Type of Work: Full-Stack Web Development, AI/ML Integration, Medical Imaging, and System Architecture.

The platform consists of a central WordPress landing portal that routes users to three specialized experiences: an Optician Portal, an Ophthalmologist Portal, and a Patient Portal.

The Optician Portal allows healthcare professionals to register patients, upload retinal fundus images, and run AI-based disease screening models. The system processes the images through Python-based AI microservices and returns disease probabilities, confidence scores, and Explainable AI (XAI) heatmaps that help visualize areas influencing the model's prediction. Opticians can also inspect DICOM medical images using an interactive viewer with multi-channel and layer-based visualization.

The Ophthalmologist Portal provides advanced diagnostic capabilities. Doctors can review referred patient cases, run AI analysis, examine layered DICOM scans, write diagnostic reports, provide clinical feedback, and create treatment plans. When a case is reviewed, the notification system automatically informs the referring optician.

The Patient Portal gives patients access to their medical records, diagnostic reports, AI analysis results, and feedback provided by their doctors.

Implementation & Technical Approach: The system was developed using a modern full-stack architecture, with React.js for interactive web interfaces and Node.js/Express.js for backend services and API communication. Python and Flask were used to integrate and expose deep learning models as dedicated AI microservices. MongoDB was used as the primary NoSQL database, while GridFS was utilized for storing and managing large medical imaging files. WordPress was implemented as the main public-facing landing portal.

The platform combines role-based access, AI/ML inference, medical image processing, DICOM visualization, secure data management, patient referral workflows, and real-time notifications into a unified healthcare solution.