dabetai

Wearables-Driven Preventive Ecosystem for Diabetes Complications

A comprehensive health platform moving beyond simple monitoring to active prevention. dabetai leverages wearable technology and AI to predict critical complications like Retinopathy and Nephropathy before they become irreversible.

dabetai

The challenge

Challenge

Diabetes management is often reactive. Patients lack visibility into the silent progression of dangerous complications, while doctors suffer from a lack of continuous, real-time data.

Solution

An interconnected ecosystem that fuses real-time biological data with clinical oversight, utilizing predictive models to alert both patients and doctors about specific risks.

Ecosystem

Complication Prediction Core (AI)

The system's heart. It processes user and sensor data to forecast the risk of specific complications: Retinopathy, Nephropathy, Neuropathy, and Diabetic Foot.

FastAPI
MongoDB
PostgreSQL
scikit-learn
XGBoost
Complication Prediction Core (AI)

Mobile App (Patient Hub)

Acts as the central hub for the patient. Beyond standard logging (glucose/food), it syncs with wearables (CGMs) to extract biomarkers like heart rate and sleep quality in real-time.

React Native
Expo
Tailwind CSS
Mobile App (Patient Hub)

Medical Portal (Oversight)

Allows physicians to link with patient accounts for remote supervision. It transforms raw daily data into clinical insights, enabling doctors to receive alerts and intervene remotely.

Angular
Tailwind CSS
Medical Portal (Oversight)

Ready to build something extraordinary?

Interested in the impact of dabetai? Let's talk about how I can bring similar technical excellence to your next big idea.