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Nagrik

AI grievance kiosk that listens in any language.

< 3 min
Time to file
None
Literacy required
Auto-detected
Languages

Problem

Citizens queue for hours to file complaints on forms they cannot read, in a language that is not theirs.

Solution

Nagrik replaces the form with a conversation: speak, confirm, receive a receipt — in your language, in under three minutes.

How it works

Step by step.

01

Listen

Citizen speaks freely; language is auto-detected.

02

Extract

An LLM extracts structured fields from the transcript.

03

Confirm

The citizen reviews in their language with spoken prompts.

04

File

A tracked grievance and PDF receipt are generated.

Architecture

  • L1Kiosk-mode PWA
  • L2Provider admin
  • L3Structured extraction
  • L4PDF pipeline

Key capabilities

  • Speak once — details extracted automatically
  • Full-journey language switching
  • Hindi-safe PDF generation
  • Admin control of LLM, ASR and TTS providers
  • Hashtag sentiment utility

Technology

Next.jsSarvamGoogle TTSOpenRouter

Use cases

  • — District offices
  • — MP constituency offices
  • — Public service counters

Start here

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