Inspiration

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Smart Glucose Guardian

Inspiration

Diabetes affects millions worldwide, yet most solutions remain reactive. Our inspiration came from the need to shift diabetes management into proactive prevention, empowering patients before complications arise.

What we learned

We discovered how AI can analyze vital signs to predict health risks. We learned that current sensors (MAX30102, DS18B20) do not measure glucose directly, but they provide valuable indicators that AI can interpret. This insight shaped our prototype and future roadmap.

How we built it

  • Phase 2: AI model training on collected vital signs data
  • Phase 3: Mobile application to connect users with real-time insights
  • Phase 4: Clinical testing to validate accuracy and usability
  • Phase 5: Commercial launch with integration into healthcare ecosystems

Challenges

  • Sensor limitations: current hardware cannot measure glucose directly
  • Data quality: ensuring reliable datasets for AI training
  • Clinical validation: bridging the gap between prototype and medical-grade device

Vision

To become a leading AI-powered healthcare solution that transforms diabetes management from reactive treatment into proactive prevention.

Slogan

Predict. Protect. Prevent.

Future Development

Our roadmap includes integrating certified glucose sensors or connecting with approved medical devices. This ensures scientific accuracy and regulatory compliance, making the solution credible and scalable.

Built With

  • ai
  • apis:
  • css
  • custom
  • ds18b20
  • javascript-frameworks:-react.js-platforms:-firebase-cloud-databases:-firebase-/-mongodb-hardware:-esp32
  • languages:-html
  • max30102
  • oled-display
  • prediction
  • tp4056
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