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Veritas ID: Autonomous Multi-Agent Onboarding Platform TrustFlow AI is an end-to-end, fully autonomous Know Your Customer (KYC) system designed to onboard users in seconds while maintaining strict regulatory compliance.

Code Video Cerebral Valley

Core trick

ML Kit tracks head movement, smiles, and blinks on-device for liveness; parallel agents run OCR, face match, and AML checks into a risk score.

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securityvisionagents

Description

Veritas ID: Autonomous Multi-Agent Onboarding Platform TrustFlow AI is an end-to-end, fully autonomous Know Your Customer (KYC) system designed to onboard users in seconds while maintaining strict regulatory compliance. It bridges the gap between a frictionless user experience and rigorous security by utilizing on-device machine learning and a backend powered by specialized AI agents. Key Features: Frictionless Mobile Frontend: Built with Flutter, the app provides a smooth onboarding flow for capturing government IDs and live selfies. Real-time Liveness Detection: Integrates on-device ML Kit to run real-time facial liveness checks (tracking head movement, smiles, and blinks) to prevent spoofing and presentation attacks instantly. Multi-Agent AI Orchestration: The FastAPI backend operates an autonomous event-driven architecture using multiple specialized AI agents: - OCR Agent: Extracts and parses data from government IDs using Google Gemini Vision. - FaceMatch Agent: Compares the verified selfie against the ID photo to confirm identity. - Compliance Agents: Concurrently run Anti-Money Laundering (AML), Sanctions, and Politically Exposed Persons (PEP) checks. - Risk Assessment Agent: Aggregates the findings of all agents into a unified risk score. Automated Decision Engine: Automatically approves low-risk users in seconds, while flagging complex or borderline profiles to a dedicated Branch Manager Dashboard for manual human-in-the-loop review. Technology Stack: - Frontend: Flutter, Dart, Google ML Kit - Backend: Python, FastAPI, Event-driven architecture - AI Models: Google Gemini 3.5 Flash (Vision & Analysis) The Problem it Solves: Traditional KYC processes in fintech and banking are slow, expensive, and require massive manual compliance teams, often leading to user drop-off. TrustFlow AI solves this by automating the heavy lifting of identity verification and compliance checks, allowing institutions to scale their user base securely without scaling their headcount.
Unemployed-Nerds/kyc★ 00 forksDartCreated Jul 11, 2026 · last push Jul 11, 2026

README excerpt

# KYC Flow AI

An end-to-end autonomous AI Know Your Customer (KYC) system featuring a Flutter mobile frontend for capturing user data and a FastAPI backend powered by specialized AI agents.

## Features
- **Frontend (Flutter)**: 
  - Customer onboarding flow with ID upload and live selfie capture.
  - On-device ML Kit integration for real-time facial liveness checks (head tracking, smile detection).
  - Branch manager dashboard for manual reviews.
- **Backend (FastAPI)**:
  - Agentic workflow orchestration.
  - **OCRAgent**: Extracts details from government IDs using Google Gemini Vision.
  - **SelfieAgent**: Verifies single face presence in selfies.
  - **FaceMatchAgent**: Compares ID face against selfie.
  - **Compliance Agents**: Runs AML, Sanctions, and PEP checks.
  - **RiskAssessmentAgent**: Aggregates risk scores.
  - **DecisionAgent**: Makes automated approve/reject decisions or escalates for manual review.

## Setup Instructions

### Backend
1. Navigate to the `backend/` directory.
2. Create a virtual environment: `python -m venv venv`
3. Activate the environment: `source venv/bin/activate`
4. Install dependencies: `pip install -r requirements.txt`
5. Copy `.env.example` to `.env` and configure your API keys (e.g., `GEMINI_API_KEY`).
6. Run the server: `uvicorn app.main:app --port 8000 --reload`

### Frontend
1. Navigate to the `frontend/` directory.
2. Install dependencies: `flutter pub get`
3. Run the app: `flutter run`

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