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Kaagaz

Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

Kaagaz — Demo video

Kaagaz turns a photograph of an Indian prison register into a verified list of who is already entitled to release under Section 479 of the Bharatiya Nagarik Suraksha Sanhita, 2023. The problem: three in four of India's ~5.3 lakh prisoners are undertrials, and Section 479 says many must be released once they have served a fraction of their maximum sentence. The check is simple arithmetic, but it is done by hand from paper registers, jail by jail — so between July 2024 and April 2025 only 334 undertrials were released under it nationwide. The bottleneck is labour, not law. What it does: you give Kaagaz a photo or scan of a register page or an Undertrial Review Committee list — English, Hindi or Marathi, printed or handwritten — and for every prisoner it returns whether they are eligible, the exact date the threshold is crossed, the controlling section and its maximum sentence, and a ready draft of the Section 479 application. Muse Spark Open reads the whole table into a strict, name-free structure; a second independent read must agree before a row is accepted; every charge is looked up in an 800-section law table; and only then does a deterministic engine apply Section 479. A person reviews and signs off. Safety by construction: the model only reads — deterministic code decides eligibility; two independent reads must agree or the row is held for a human; the schema has no field for a person's name; and when anything is unclear (a smudged date, an unknown section) it refuses rather than guesses. Across every test page it made zero false 'eligible' calls.

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