Benefits Determination & Appeals System
Full-stack prototype modeling government benefits review and appeals processes.
The problem
Government benefits applications move through complex review, decision, and appeals processes, but the full decision lifecycle—from initial intake through multi-tier appeals—is often opaque to both caseworkers and applicants. Understanding how determinations are made, who made them, and how they can be challenged requires navigating fragmented systems.
What I built
A comprehensive full-stack prototype demonstrating how benefits applications move through review, decision, and appeals. The system models the complete lifecycle from initial application intake through a three-tier appeals mechanism.
The prototype simulates application intake, automated eligibility checks, caseworker review, and a three-tier appeals process. It distinguishes between AI-generated and human-made decisions, maintaining detailed records of overrides and appeal outcomes throughout each case’s history.
Technical approach
A distinctive feature is the data persistence methodology: the system uses IPFS-style content addressing, where each record is referenced by a unique identifier tied to a specific policy version. This approach enables transparent audit trails and version control across policy decisions.
Stack: React, TypeScript, Tailwind CSS, AI-assisted eligibility logic, IPFS-based content addressing, caseworker and appeals dashboards
Key principle
The prototype prioritizes transparency by making the full decision history visible across the lifecycle of a case, allowing stakeholders to understand how determinations were reached and how appeals were handled.
What this demonstrates
I can design and build systems that make complex government processes legible—not just to technologists, but to caseworkers and applicants navigating high-stakes decisions.