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Real-time monitoring of the AI/ML pipeline powering the Lao Community Data Portal. 4 predictive models, 3 NLP engines, and 6 data sources working together to transform reactive crisis response into proactive, culturally-grounded community support.

0

Active ML Models

0

Predictions Generated

0%

Avg Model Accuracy

1

Fairness Reviews

AI Pipeline Architecture

LIVE

Data Ingestion

6 sources

PROCESSING

NLP Pipeline

3 engines

ML Models

4 predictive

Fairness Audit

Continuous

Early Warning

Real-time

Intervention

Recommended

Predictive Models

Live Activity

Event StreamAuto-updating

Pipeline Throughput

Predictions / min~42 avg

NLP Engines

Bilingual Sentiment Analyzer

LLM-Enhanced (Claude + Lexicon)

2,847 docs89.1%

Community Topic Extractor

LLM-Enhanced Topic Modeling

2,847 docs85.6%

PII Anonymization Pipeline

NER + Rule-Based

2,847 docs97.8%

Neural Network Visualization

ACTIVE

MLP Architecture — Mental Health Crisis Predictor

Input Layer (18)Hidden Layers (64, 128, 64)Output (Risk Score)

Model Performance Overview

Gambling Risk Predictor84.7%
Dropout Risk Detector82.3%
Mental Health Crisis Predictor79.8%
Elder Isolation Index86.2%

Data Pipeline Status

Data SourceRecordsLast SyncFrequencyStatus
Census ACS 5-Year15,2472026-04-12AnnualSynced
MDH BRFSS3,8422026-04-10QuarterlySynced
Community Survey 20251,2052026-03-01AnnualSynced
Community Narratives2,8472026-04-13ContinuousLive
MN Dept of Education8,9202026-04-08SemesterSynced
BLS Employment Data4,3102026-04-11MonthlySynced

Ethical AI Framework

Human-in-the-Loop

All predictions require human review before intervention. No automated actions on vulnerable populations.

Fairness Monitoring

Continuous disparate impact testing across gender, age, and generation. Four-fifths rule enforced on all models.

Community Governance

Community IRB reviews all model deployments. Data sovereignty maintained through consent framework.

AI/ML Pipeline Monitoring System · Lao Community Data Portal · Last updated: 4/15/2026