CatchUp

🩺 About the Project

Inspiration

In our region, chronic diseases account for the majority of preventable deaths. Most patients don’t deteriorate suddenly—there are warning signs. The problem is that these signals are subtle, gradual, and often missed.

Existing smartwatches focus on wellness and fitness. They rely on generic thresholds and stable internet connections. They notify users, but they are not built for healthcare system integration or high-risk patients.

We wanted to shift the model from reactive treatment to predictive prevention.

CatchUp was inspired by the need for a system that doesn’t just track data—but understands it in context.

What It Does

CatchUp is a wearable health monitoring bracelet designed specifically for chronic disease patients such as those with heart conditions, diabetes, or other high-risk profiles.

The system operates in three structured layers:

Measure The bracelet continuously monitors vital signs such as heart rate, blood pressure, and temperature.
Analyze Instead of using generic thresholds, our AI compares live data against the patient’s personalized baseline and medical history to detect abnormal deviations.
Escalate If risk is detected:

The patient is alerted

Family or caregivers are notified

Emergency services can be escalated in critical cases

This multi-level escalation model ensures that alerts are not isolated to one device.

How We Built It

We designed CatchUp as a hybrid system combining:

A wearable data collection device

Secure data transmission

A centralized AI analysis engine

Structured alert logic

To address connectivity challenges, we integrated resilient communication strategies, including long-range low-power fallback (LoRa), ensuring emergency alerts can still be transmitted when internet access is unstable.

We also implemented privacy-by-design architecture:

Encrypted data handling

Transparent AI-trigger logging

Secure patient data processing

The goal was not just to build a device—but to build a healthcare-ready system.