RaktChain is an AI-powered blood donation platform designed to bridge the gap between blood donors, recipients, hospitals, and blood banks. The platform enables users to quickly find verified blood donors based on blood group and location, reducing the time required during medical emergencies.
Using AI, RaktChain prioritizes donor matching, predicts blood demand trends, sends intelligent donation reminders, and recommends nearby blood donation camps. The platform also provides real-time emergency requests, allowing eligible donors to respond instantly.
To encourage regular donations, RaktChain includes a reward system where donors earn digital badges, achievement levels, and recognition for every successful donation. Hospitals and blood banks can manage blood inventories, verify donation requests, and coordinate emergency responses through a dedicated dashboard.
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Let’s for a moment consider blood as a RWA. How are you confirming the physically collected blood on-chain? Token/NFT and how are you proving the collection?
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We don’t tokenize blood itself as a tradable asset. Instead, each verified blood collection event is represented by a non-transferable NFT (Soulbound Token) that serves as a tamper-proof proof of donation.
The verification flow is:
The donor visits a verified blood bank or collection center.
The medical staff confirms successful collection and records the donation in their existing system.
The authorized blood bank digitally signs the collection record using its verified wallet/API credentials.
Only after this verification does our smart contract mint a unique NFT containing hashed metadata such as the donation ID, blood type, collection timestamp, blood bank ID, and expiry date. No personal health information is stored on-chain.
The actual medical records remain securely off-chain, while the blockchain stores only the cryptographic proof and audit trail.
This approach ensures that every on-chain record corresponds to a real, physically verified blood donation, prevents fake claims or double counting, and provides transparent traceability without compromising donor privacy.
The oracle problem here is physical and ZK can’t prove blood was actually collected, only that data was processed correctly. Multi-sig from donor + blood bank + receiving hospital would reduce fraud risk more than any cryptographic proof system.
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I’m totally agree with you.
Do you have any suggestions for my solution
Piyush, multi-sig verification from donor + blood bank + hospital reduces single point of failure. Longer term, ZK proofs of medical record hashes from accredited institutions would eliminate trust entirely. I’m happy to discuss further this is the kind of architecture I help teams design. What’s your timeline and budget?