Demos Gallery 6

Paste any citizen comment in Qatari dialect, Modern Standard Arabic, or English and get instant sentiment, topic, and urgency tags. Powered by the model that won the 2025 Arabic Dialect Sentiment Challenge, trained on the national citizen-feedback corpus.

Powered by Citizen Feedback Classifier

Drop in a lengthy tender, circular, or policy paper and receive a bilingual executive summary with key dates, obligations, and evaluation criteria. Uses the certified tender-summary prompt template on top of MCIT's sovereign summarisation model.

Powered by Gov Document Summarizer

Upload a bilingual Arabic-English invoice and watch line items, VAT fields, and supplier details extracted into structured JSON in seconds. Built on Wahaj Labs' invoice extractor, tuned on 40,000 anonymised Qatari procurement documents.

Powered by Arabic Invoice Extractor

Try structured field extraction from Qatar ID specimen cards, including Arabic name, QID number, nationality, and expiry, with confidence scores per field. Runs entirely against synthetic specimen templates so no real identity data ever leaves the sandbox.

Powered by QID Document OCR

View 72-hour PM2.5 and PM10 forecasts for monitoring stations across Doha, Al Wakrah, and Al Khor, with dust-storm event flags. Developed by HBKU researchers using the national air-quality station network dataset.

Powered by Air Quality Forecaster

Explore 12-quarter workforce demand projections by sector and occupation, with interactive scenario toggles for major infrastructure programmes. Backed by the National Planning Council's forecaster trained on labour-force survey microdata.

Powered by Labour Demand Forecaster