TECHNICAL ARCHITECTURE

TECHNOLOGY STACK

A comprehensive look at the AI-powered architecture that powers SourceTrace + WitnessConnect AI — from data ingestion to humanitarian response.

System Architecture

SIX-LAYER INTELLIGENCE STACK

Each layer processes and refines information, creating a pipeline from raw data to verified humanitarian intelligence.

LAYER 01

Data Ingestion Layer

Collects millions of posts, news, videos, and messages from social media, news agencies, and direct submissions in real-time.

WebSocket StreamsApache KafkaRSS/API Aggregators
LAYER 02

SourceTrace Engine

Analyzes timestamps, cross-posting patterns, network connections, and linguistics to identify the original source. Builds the Information Diffusion Map.

Graph Neural NetworksNLP AnalysisTemporal Mapping
LAYER 03

AI Verification Layer

Verifies content authenticity through photo/video metadata analysis, geolocation, stylistic analysis, and author profile credibility. Assigns Source Trust Index.

EXIF AnalysisDeepfake DetectionGeoVerification
LAYER 04

WitnessConnect AI

Uses OSINT and neural analysis to find contact methods. Establishes ethical communication via messengers, social media, email, or VoIP.

OSINT IntelligenceTwilio VoIPMultilingual NLP
LAYER 05

Dialogue & Coordination Engine

Conducts structured dialogue with witnesses — questions, photos, geo-tags. Determines threat level and need for assistance.

Voice AIStructured InterviewsThreat Assessment
LAYER 06

Humanitarian Integration Layer

Connects with UN, Red Cross, UNICEF, NATO, and Humanity Grid. Visualizes data on Crisis Atlas Dashboard. Stores communications on blockchain.

Crisis Atlas APIReliefChainUN OCHA Integration
Data Flow Visualization
Data Pipeline

INFORMATION REFINEMENT

Raw chaotic data enters the system and is progressively filtered, verified, and structured through multiple AI processing layers.

1
Raw Data Input

Millions of posts, videos, and signals ingested per hour

2
AI Filtering

Bot activity, spam, and obvious fakes removed automatically

3
Source Tracing

Original posts identified through temporal and network analysis

4
Verification

Multi-layer authenticity checks with Source Trust Index scoring

Capabilities

TECHNICAL CAPABILITIES

A comprehensive suite of AI-powered tools for information verification and humanitarian intelligence.

Media Forensics

Deep analysis of images and videos for manipulation detection

Geospatial Intelligence

Precise location verification using satellite and metadata

AI-Powered Analysis

LLM, Graph AI, NLP, and Voice AI working in concert

Network Mapping

Information diffusion tracking across social networks

Secure Communications

End-to-end encrypted channels for witness protection

Blockchain Storage

Immutable record of verified testimonies and evidence

Automated Reports

AI-generated intelligence reports for crisis centers

Multi-Layer Verification

Cross-referencing multiple data sources for accuracy

Applications

USE CASES & SCENARIOS

SourceTrace serves diverse sectors from humanitarian missions to government response centers.

SECTORFUNCTIONRESULT
Humanitarian MissionsAI identifies disaster eyewitnesses and contacts themRapid transmission of coordinates and victim data
Media & JournalismDetermines original source of news storiesFact-checking and combating fake news
OSINT / IntelligenceBuilds information diffusion treesIdentifies information attacks and primary nodes
Government Response CentersReceives direct data from eyewitnessesOperational response within minutes
Social NetworksLabels original content with verification badgesIncreased user trust and transparency
Trust Scoring

SOURCE TRUST INDEX

Every piece of information receives a trust score from 0 to 1, calculated through multi-dimensional analysis.

Verified Eyewitness0.95
Credible News Source0.82
Unverified Report0.45
Suspected Fake0.12
0.00 — UNVERIFIED0.50 — MODERATE1.00 — VERIFIED