🩸 Diavenir

"Rendre visible l'invisible." (Make the invisible visible.)
A digital solution transforming abstract medical risks into concrete visual motivation.

Diavenir is a mobile application prototype designed to bridge the gap between diabetic patients and the long-term management of their pathology. By transforming complex clinical data into intuitive visuals, we aim to trigger the motivation necessary for sustainable lifestyle changes.

🧐 The Challenge

Diabetes is a silent major global health issue affecting 1 in 11 adults. Complications (cardiovascular, renal, optical) often develop over years without specific warning signs.

Diavenir addresses the psychological barrier of chronic disease: How can we motivate patients to change their lifestyle today when the consequences of not doing so are invisible and distant?

💡 The Solution

Diavenir makes the abstract concrete by personalizing clinical and biological data to estimate long-term risks.

The "Silhouette" Concept

Dynamic Coloring: A human silhouette fills with Green (healthy) or Red (risk) based on clinical parameters.
Real-Time Feedback: As parameters are adjusted (simulating diet or exercise), the silhouette updates instantly to show the impact of lifestyle choices.
Organ-Specific View: Users can visualize specific risks associated with different parts of the body (heart, eyes, kidneys), pinpointing where the "invisible" damage occurs.

🛠️ Technical Implementation

This project was built as an MVP during the Hacking Health Camp.

Framework: Flutter (Cross-platform iOS/Android)
Language: Dart
Inputs: Integration of biological and clinical characteristics to estimate risk.

🚀 Getting Started

To run the prototype locally:

Clone the repository

git clone [https://github.com/noecrn/diavenir.git](https://github.com/noecrn/diavenir.git)
cd diavenir

Install dependencies
```
flutter pub get
```
Run the app
```
flutter run
```

👥 The Team

This project was born from the collaboration of a multidisciplinary team at Hacking Health Camp:

Alexia Rouland: Endocrinologist (CHU Dijon Bourgogne) – Project Lead
Isabelle Simoneau: PhD, Clinical Research Coordinator (URCE CHU Dijon) & Research Engineer (INSERM PADYS) – Project Lead/Coordinator
Noé Cornu: Developer – Lead Mobile Development
Bertrand Chéronnet: IT Craftsman & Data Molder (42 Mulhouse) – Data & Problem Solving
Loïc Lanneau: Advanced Practice Nurse (CHU Dijon Bourgogne) – Clinical Insights
Thomas Bassetti: Product Designer (Social Innovation) – UX/UI Design

Disclaimer: This application is a prototype designed for demonstration purposes. It is not a certified medical device and should not be used for actual medical diagnosis.

noecrn/Diavenir