HG APP

From Iron Insight to Donor Match -- All In One Place

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HG App: A Lifeline for Thalassemia Patients (HemoGuard APP)

Inspiration

What started as a school lesson about thalassemia became a mission when we truly understood the daily struggles patients face. Through our research, we discovered the heartbreaking reality - children spending hours in transfusion centers, adults suffering from organ damage due to iron overload, and families desperately searching for compatible blood donors. These stories shook us. We realized that while thalassemia is treatable, the system surrounding it needed innovation. That's when we committed to building a solution that could make a real difference in patients' lives.

What It Does

Our HG App revolutionizes thalassemia care through three core features. The visualization tool transforms confusing medical data into clear 3D models that show exactly where and how iron is accumulating in the body. Doctors can track progression over time while patients finally understand what's happening inside them. Our predictive AI analyzes years of treatment data to warn about potential complications before they become emergencies. Perhaps most impactful is our donor matching system - a real-time network that connects patients with life-saving blood matches in their area, considering all critical compatibility factors.

Challenges We Faced

Developing this app tested us in unexpected ways. Creating accurate yet understandable visualizations of complex medical data required countless iterations with both doctors and patients. Building the donor matching algorithm meant solving the puzzle of rare blood types while maintaining strict privacy standards. We hit roadblocks with limited clinical datasets for training our AI models, forcing us to get creative with our approaches. Each obstacle taught us valuable lessons about perseverance and user-centered design.

What We Learned

This journey has been transformative. We gained profound appreciation for our own health while witnessing the resilience of thalassemia patients. We saw how lack of awareness creates unnecessary suffering, and how technology can bridge critical gaps in healthcare. Most importantly, we learned that meaningful innovation doesn't require vast resources - just dedication to solving real problems for real people. The gratitude from families who tested our prototype showed us the human impact behind every line of code.

Accomplishments

We're proud to have created a platform that already shows promise in improving thalassemia care. Our visualization tools help doctors explain conditions more effectively to families. Early testing shows our matching system can reduce donor search times dramatically. Perhaps our biggest achievement is building something that gives patients more control and understanding of their treatment journey. The positive feedback from medical professionals confirms we're on the right track.

What's Next

Our roadmap is ambitious. We're working to expand our donor network nationwide while improving matching accuracy. Partnerships with hospitals will help refine our predictive models with more diverse patient data. Future versions will include treatment reminders and educational resources. Ultimately, we dream of making this app available globally, because every thalassemia patient deserves access to better care, regardless of where they live.

Built With

  • canva-(for-ui/ux)
  • figma
  • flask
  • github
  • google-colab-(for-model-training)
  • google-maps
  • matplotlib
  • mri-dicom-parser-(pydicom)
  • plotly.js
  • postgresql
  • python
  • react.js
  • render.com-(or-heroku)
  • streamlit-(for-data-dashboards)
  • tensorflow-lite
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