AyuNetra
AyuNetra stores prescription images in a Supabase-backed cloud database and uses a custom AI/ML model to read prescriptions and provide patient briefings. The app uses a Material Design 3 interface.
Overview
AyuNetra is a patent-pending Flutter app for storing medical prescriptions and making them easier for patients and doctors to review. It combines prescription image storage with AI-assisted reading and patient briefings.
Problem Statement
The project brings prescription storage, doctor and patient access, and prescription reading together in one mobile experience.
Research
The product scope is centered on two user roles—patients and doctors—and the prescription image as the core medical record.
Architecture
The mobile client is built with Flutter and Material Design 3. Supabase provides authentication, cloud data storage, and prescription image storage, while a custom AI/ML model reads prescription content and prepares patient briefings.
Technical Decisions
The app combines role-based access, cloud-backed prescription images, and AI-assisted reading in a single workflow. Material Design 3 provides the visual system for the mobile interface.
Tradeoffs
Automated prescription reading can make information easier to review, but medical content still requires careful human interpretation. The app is designed as a management and briefing tool, not a replacement for professional medical advice.
Challenges
The core engineering challenge is bringing authentication, prescription image handling, and AI-assisted analysis together while keeping the experience clear for both patients and doctors.
Lessons Learned
For health-related products, a useful interface needs to make stored records and AI-generated explanations understandable without obscuring the need for professional judgment.
Future Roadmap
Potential next steps include refining the prescription review flow and validating AI-generated readings with appropriate clinical oversight.