Fibonrose Trust

AI-Powered Universal Professional Verification & Trust System

Overview

The Fibonrose Trust is an AI-driven comprehensive verification and trust system designed to authenticate and match:

1. Universal Professional Network: Any professional, agent, interpreter, service provider, or role-based individual serving the deaf community
2. Deaf Individuals: Work experience, volunteering, community contributions, and professional capabilities across all domains
3. Intelligent Matching: AI-powered taxonomy system that categorizes, verifies, and matches professionals across unlimited service categories

This AI-enhanced verification system addresses critical gaps in professional verification while creating an intelligent ecosystem that learns and adapts to serve the deaf community's evolving needs.

AI-Powered Architecture

Backend Infrastructure

Technology_Stack:
  Database: "Supabase (PostgreSQL + Real-time)"
  AI_Engine: "Custom ML Models + OpenAI Integration"
  Backend: "Node.js/TypeScript + Supabase Edge Functions"
  Authentication: "Supabase Auth + DeafAUTH Integration"
  Real_Time: "Supabase Realtime Subscriptions"
  AI_Services: "Vector Embeddings + Semantic Search"

AI_Components:
  Professional_Classification: "Multi-label classification model"
  Trust_Scoring: "Ensemble ML algorithms"
  Matching_Engine: "Vector similarity + collaborative filtering"
  Fraud_Detection: "Anomaly detection + pattern recognition"
  Quality_Prediction: "Performance forecasting models"

Universal Professional Taxonomy System

AI-Driven Category Classification

interface ProfessionalTaxonomy {
  primary_category: string;
  sub_categories: string[];
  specializations: string[];
  skill_vectors: number[];
  competency_embeddings: number[];
  deaf_community_relevance_score: number;
}

// AI automatically classifies professionals into dynamic categories
const professionalCategories = {
  healthcare: {
    primary_providers: ['physicians', 'nurses', 'therapists', 'specialists'],
    support_services: ['medical_assistants', 'healthcare_coordinators', 'patient_advocates'],
    mental_health: ['counselors', 'psychologists', 'social_workers', 'peer_counselors'],
    emergency_services: ['emt_professionals', 'hospital_staff', 'urgent_care_providers']
  },

  legal_justice: {
    attorneys: ['family_law', 'criminal_defense', 'civil_rights', 'disability_law'],
    court_services: ['court_reporters', 'mediators', 'legal_assistants', 'paralegals'],
    advocacy: ['disability_advocates', 'legal_aid_workers', 'rights_organizers'],
    law_enforcement: ['police_officers', 'detectives', 'court_security', 'corrections']
  },

  financial_services: {
    advisors: ['financial_planners', 'investment_advisors', 'tax_professionals', 'accountants'],
    banking: ['loan_officers', 'bank_tellers', 'credit_counselors', 'mortgage_specialists'],
    insurance: ['insurance_agents', 'claims_adjust

Built With

• css
• html
• javascript
• python
• typescript