LIVE AI ENGINEERING LAB

Not just screenshots. Experiments you can test.

Interactive engineering demos with server-side models, public-data experiments, transparent metrics and privacy-safe business analytics.

API STATUS

Checking API…api.barooman.ir

When the API is online, inference comes from the server. The browser does not need to train any model locally.

PUBLIC / HISTORICALReal-estate listings*

PUBLICPersian sentiment data*

PUBLIC / UCIBreast Cancer WDBC

PUBLIC / UCISUPPORT2 Colon subset*

PRIVACY-SAFEBusiness & IoT synthetic demos

* Transparency first. Public-data modules show their source and model status clearly. Privacy-sensitive product demos use safe synthetic data.

Historical Real-Estate Price Intelligence

Historical asking-price model, prediction interval, model metrics and feature importance.

PUBLIC DATA PIPELINE

Sentiment, intent, keywords and entities with a transparent public/synthetic model source.

PUBLIC DATA PIPELINE

Public Wisconsin Diagnostic data via scikit-learn. Educational only — not clinical diagnosis.

REAL PUBLIC DATA

UCI SUPPORT2 colon-cancer subset; an educational risk model with explicit limitations.

OPTIONAL PUBLIC MODEL

Regression, anomaly detection and strongest/priority dimension analysis.

SYNTHETIC BENCHMARK

Occupancy probability, telemetry anomaly detection and automation recommendation.

PRIVACY-SAFE DATA

Operational risk probability, anomaly signal and explainable drivers without client records.

PRIVACY-SAFE DATA

RFM-style segmentation, churn probability and next-best-action recommendation.

PRIVACY-SAFE DATA

09MODEL BENCHMARKS

SOURCE TRANSPARENCY

That distinction is intentional engineering, not a limitation hidden from the viewer.