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Hala Kabir
Hala Kabir

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I Missed the Hackathon Deadline — But Built a Privacy-First Relief-Claim Prototype -Hala Kabir

Midnight Network Challenge: Protect That Data

I missed the Midnight Hackathon submission deadline while completing and validating the final technical transaction flow. That part is disappointing — but I still wanted to share what I built, what it proves, and why it matters.

Introducing EcoRelief Proof AI

EcoRelief Proof AI is a privacy-preserving disaster-relief claim prototype developed by EcoQuantum Solution.

After a flood, earthquake, or other emergency, people may need to request help. But they should not have to publish their identity, exact location, family details, or other sensitive information on a public system just to prove that they made a request.

That is the problem this prototype explores.

What the prototype does

Using Midnight’s privacy-preserving smart-contract approach, an applicant can:

  • Create a private applicant identity
  • Connect to the EcoRelief contract
  • Submit a cryptographic relief-claim commitment instead of personal data
  • Receive a claim ID
  • Verify ownership of that claim later

The result is a verifiable, auditable claim record without placing real survivor information on-chain.

For the technical demo, I used synthetic test data only. The prototype does not make real aid-eligibility decisions and is not yet a live emergency-response system.

Why this could matter for EcoQuantum Solution

EcoQuantum Solution is working toward AI-powered climate and disaster-risk intelligence under the mission:

Predict • Prevent • Protect

In the future, privacy-preserving proof systems like EcoRelief Proof AI could support the humanitarian-safety side of that mission. For example, an AI-assisted assessment process could help prepare a claim commitment from verified information, while sensitive personal data stays protected off-chain and human organizations remain responsible for real decisions.

This could help relief organizations build workflows that are:

  • More privacy-conscious
  • More transparent and auditable
  • Less dependent on public exposure of vulnerable people’s data
  • Better prepared for trusted coordination during emergencies

What I learned

Missing a deadline does not erase the work, the learning, or the value of building something real.

This project taught me how privacy technology can move beyond finance and into human-centered systems — especially systems designed for people facing disasters and vulnerability.

I will continue exploring how EcoRelief Proof AI can responsibly evolve as part of EcoQuantum Solution’s wider humanitarian and climate-safety vision.

GitHub: https://github.com/halakabir234-hub/ecorelief-proof-ai

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