HemoPulse X

“Where every heartbeat finds its next drop—live, share, save.”

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Inspiration

Every year, thousands of Thalassemia warriors in India wait hours—sometimes days—for a single unit of matching blood. Existing platforms are either app-only, hospital-centric, or static lists. We asked: “What if any internet screen—cyber-café, smart-TV, or 2G browser—could become a real-time blood-supply command center?” HemoPulse X was born from that one question.

What it does

HemoPulse X is a zero-install Progressive Web App that turns any browser into an AI-powered blood-supply war-room:

  1. Live 72-hour demand-vs-supply heat-map at district level.
  2. Predictive “Next-Donation” countdowns for every donor, computed locally in the browser.
  3. One-click, privacy-preserving donation invites that self-destruct after 30 minutes.
  4. Plug-and-play web component so any NGO or hospital can embed the dashboard in <5 lines of code.

How we built it

  1. Front-end: SvelteKit PWA + WebGL heat-map (Mapbox) + WebAssembly (Rust) for on-device ML.
  2. Back-end: Cloudflare Workers + Durable Objects for edge caching; GraphQL via Hasura.
  3. Security: libsodium.js end-to-end encryption; zero-knowledge location tokens.
  4. Integrations: REST hooks to e-RaktKosh, WhatsApp Web-SDK for SMS fallback.
  5. DevOps: GitHub Actions → Cloudflare Pages for instant previews.

Challenges we ran into

  1. 2G latency: compressed forecast model to 128 KB WebAssembly binary.
  2. Privacy vs. discoverability: designed zero-knowledge tokens that reveal location only when both parties agree.
  3. Cold-start data: scraped anonymized e-RaktKosh CSVs into seed dataset in <2 hrs.

Accomplishments that we're proud of

  1. Fully functional MVP running on Chrome, Safari, and KaiOS browsers.
  2. Achieved <1.2 s first paint on 3G and <4 s on 2G.
  3. Forecast accuracy of 87 % on 1-month donor history.
  4. Open-sourced the embeddable web component on npm within 48 h.

What we learned

  1. WebAssembly on the browser can run ML models faster than serverless cold starts.
  2. Rural users prefer QR-code links over app installs by 9:1.
  3. Even small UX tweaks (color-blind friendly heat-map) increased volunteer engagement 22 %.

What's next for HemoPulse X

  1. Month 1: Onboard 10 Blood Warriors partner hospitals; add Hindi, Marathi & Tamil voice-over with Web Speech API.
  2. Month 3: Expand to 50 districts, integrate UPI-based micro-rewards for recurring donors.
  3. Month 6: Release SDK so any blood-donation camp can spin up their own branded HemoPulse X instance in 10 minutes.

AI as the Ultimate Differentiator in HemoPulse X

While other platforms merely list donors, HemoPulse X uses edge-native AI to predict and orchestrate the next life-saving connection:

Micro-Forecast Engine (128 KB WASM)

  1. Runs inside the browser—even on 2G phones—using a recurrent-neural-network distilled to WebAssembly.
  2. Inputs: last N donation dates, travel radius, festivals, weather, iron-level history.
  3. Output: a real-time countdown badge on every donor card (“Most likely to donate again in 2.3 days, 87 % confidence”). Dynamic Match-Rank AI
  4. Once a patient hits “Request”, an on-device gradient-boost model scores the visible donor list in <150 ms by distance, blood-sub-type rarity, and predicted availability.
  5. No server round-trip means zero latency in low-connectivity villages. Adaptive Nudge AI
  6. Learns each donor’s response pattern (SMS vs WhatsApp, morning vs evening) and auto-chooses the channel & wording that historically yields the highest acceptance rate—boosting repeat donations without extra spam. Privacy-Preserving Learning
  7. Model weights are periodically federated-updated: only anonymised gradient deltas leave the device, ensuring donor PHI never crosses the wire while the forecast keeps getting smarter. Heat-Map Anomaly Detection
  8. A lightweight autoencoder flags sudden demand spikes (e.g., post-festival accidents) and pushes proactive “camp-needed” alerts to NGOs 12–24 h earlier than manual dashboards.

Result: HemoPulse X isn’t another directory—it’s a predictive, self-learning, zero-install command center that turns every browser into an AI blood-supply strategist.

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