Vita

Vita: Real-time glucose monitoring and AI-driven insights at your fingertips. Simplify diabetes management with personalized alerts and a holistic view of your health.

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Try Vita Today! 📱

We have an internal version ready to test on TestFlight. If any of the judges are interested in testing on an iPhone or iPad, please send an email to: [email protected] or [email protected]

Inspiration ✨

Managing diabetes is a constant effort—monitoring glucose levels, tracking trends, and making adjustments every day. We wanted to make this easier by creating a tool that combines real-time glucose monitoring with tailored insights to help people stay on top of their health.

Vita is inspired by how AI and data streaming can make proactive health management intuitive and accessible.

What it does 📊

Vita is a mobile app built for real-time glucose monitoring. Here’s what it can do:

  • Tracks rolling averages, min/max glucose levels, and more
  • Sends personalized alerts based on your goals and thresholds
  • Integrates with Apple HealthKit to access key health metrics like activity and heart rate

With all this data in one place, Vita gives users a comprehensive view of their health, empowering them to act when it matters most.

How we built it 🛠️

To make Vita a seamless iOS experience, we built it using Swift and SwiftUI. Behind the scenes, the app’s backend runs on a Raspberry Pi cluster, where it handles all essential services.

Here’s a breakdown of Vita’s core technologies:

  • Real-time data streaming: Powered by Redpanda, with Quix processing glucose data in rolling windows
  • AI-powered insights: Using Intel OpenVINO on Red Hat OpenShift AI to optimize the llama-3.1-8b-instruct model for analytics and alerts
  • Data storage: s3 stores the optimized model, accessed through a Websocket Server
  • Live data updates: WebSockets enable real-time data transfer
  • Secure access: Firebase supports login and registration

Challenges we ran into 🚧

Like any big project, Vita had its challenges! We spent time:

  • Ensuring stable WebSocket connections for smooth, real-time updates
  • Fine-tuning the Raspberry Pi cluster to handle continuous data processing
  • Integrating Intel OpenVINO with OpenShift AI, which required careful testing to get it just right

Accomplishments we’re proud of 🏆

We’re excited about Vita’s ability to provide reliable, real-time monitoring that’s both scalable and user-friendly. Here are some highlights:

  • Apple HealthKit integration lets Vita gather other health data for a holistic view
  • Rolling averages and personalized alerts help users manage their health with ease
  • Using Intel OpenVINO with OpenShift AI gives Vita advanced analytics that make a real impact

What we learned 📚

This project taught us a lot about real-time data in healthcare. Here’s what we gained experience in:

  • Managing WebSocket connections for real-time updates
  • Optimizing data pipelines to keep the app responsive
  • Maximizing performance with Intel’s AMX and OpenVINO tools for high-value health analytics

What’s next for Vita ⏩

We’re just getting started! Here’s what’s in the pipeline:

  • Adding AI-driven risk predictions to help users anticipate potential issues
  • Enhancing alerts for even more personalized health insights
  • Improving data visualizations for a more intuitive view of health trends

We’re also looking to expand our integrations with more health platforms and explore partnerships to bring Vita to even more users.

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