← All projects

Protocol36

JH26-54CQ

te@rGas · Dhaka · Daffodil International University · 3 members · Spirit of July

Protocol36 is a decentralized, forensically verified platform securing victim records, trial evidence, and budget transparency to preserve the untamperable truth of the July Uprising.

The problem

In the aftermath of the July Mass Uprising, thousands of martyrs, injured protesters, and falsely accused citizens face severe systemic barriers in their pursuit of justice and rehabilitation. Current recovery efforts suffer from three critical structural failures: Vulnerability to Data Erasure & Tampering: Centralized databases remain exposed to political censorship, server corruption, or retrofitted alterations. Genuine victim lists face accidental or deliberate purging. Fraud & Fraudulent Claims Friction: Foundations and government bodies struggle with fake medical prescriptions, photoshopped receipts, and duplicate claim submissions. Manual verification causes severe delays, leaving critically injured citizens without immediate medical aid. Opaque Budgeting & Legal Invisibility: Victims’ families lack visibility into the status of legal cases, assigned counsel, or actual aid disbursements. Concurrently, citizens accused in fabricated "false cases" lack a secure, tamper-proof mechanism to submit court-admissible alibi evidence without risking personal safety.

The solution

Protocol36 is a decentralized, forensically backed, and publicly verifiable web platform. It establishes a single source of truth for the revolution’s legacy by separating operations into two distinct access domains: Admin Portal: Secure, role-based system for verifying forensic heatmaps, processing claims, managing budget allocations, assigning legal counsel, and coordinating field volunteers. Citizen Portal: Open-access public dashboard providing absolute transparency into victim records, budget flows, ongoing legal case progression, volunteer sign-ups, and a verified media archive.

Tech stack

web3,blockchain,Solidity,IPFS, typescript, plpgSQL,Python,CSS,HTML, JavaScript

AI tools used (section 5 disclosure)

mostly Geimini and Claude