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Role-based login for Admins, Donors, and Patients to access personalized dashboards securely.
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Filter and match donors by blood group, location, donation history, and loyalty score.
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View real-time donor availability vs. demand, with heatmaps of high-need and donor-dense zones.
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Track match rates, donor retention, and supply-demand trends with exportable monthly reports.
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Schedule donation camps using AI-recommended dates, locations, and turnout forecasts.
🩸 BloodSphere AI – Project Story
🔥 What Inspired Us:
As we explored the lives of thalassemia patients, one fact hit hard — timely access to blood is a matter of life or death, yet delays in donor discovery and misaligned donation drives continue to put thousands at risk.
We were inspired by Blood Warriors’ bold vision of eradicating thalassemia in India by 2035 and wanted to contribute by building something scalable, smart, and impactful.
We also analyzed the current systems like e-RaktKosh, and while they are effective in managing inventory, they lack:
- Predictive intelligence
- Behavioral insights
- Geospatial optimization
That’s where BloodSphere AI steps in.
🛠️ What We Built:
We created a concept for BloodSphere AI, an end-to-end intelligent web platform that:
- Predicts blood donor availability using past donation trends and engagement scores.
- Matches donors to patients in real-time using blood group, proximity, and likelihood of donation.
- Recommends blood camp locations and timings by forecasting regional demand using AI-powered heatmaps.
- Provides an intuitive dashboard for Blood Warriors coordinators to act quickly, plan better, and save more lives.
- Incentivizes recurring donations via a donor engagement tracker with gamified rewards.
📚 What We Learned:
- The real-world challenges of blood donation logistics are deeper than data — human behavior, social awareness, and accessibility matter.
- Designing for ethical AI and data consent in healthcare is not optional — it must be embedded from day one.
- We learned to combine geospatial data, predictive modeling, and UX design to build a healthtech solution that’s realistic and scalable.
- Building trust through transparency, personalization, and community-focused metrics is key in this domain.
⚠️ Challenges We Faced
- Data access constraints: We had to simulate the model outputs due to a lack of real-time donation/patient data.
- Balancing functionality and empathy: We needed to ensure users feel empowered and not just scored or monitored by AI.
- Designing for diverse user groups: Patients, donors, and coordinators each required unique flows — which demanded modular and flexible UX patterns.
- Privacy and compliance: Even in a conceptual phase, handling health-related information pushed us to define robust consent and encryption workflows.
🚀 What’s Next:
- Integrating with e-RaktKosh and Blood Warriors' Blood Bridge for real-time data sync.
- Deploying a pilot version in one city with actual donation and request data.
- Scaling BloodSphere AI across India with support for multilingual access.
- Launching a mobile-first version to onboard and empower rural blood donors.
Let’s build a future where no patient waits in fear — and every donor makes a difference, intelligently.
Built With
- azure
- azure-app-services
- azure-cosmos-db
- azure-maps-api
- azure-translator-api
- e-raktkosh
- fastapi
- firebase-authentication
- firebase-cloud-messaging
- firebase-realtime-database
- folium
- geopandas
- google-translate-api
- integration)
- javascript
- lightgbm
- matplotlib
- mock
- oauth2.0
- postgresql
- power-bi
- prophet
- python
- react.js
- scikit-learn
- streamlit
- twilio
- xgboost
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