GramUdyam Saathi

Voice-first loan advisor for first-time rural entrepreneurs under MoSJE schemes. Twelve questions in Hindi or English, then a right-sized loan — deterministic engines for scheme routing, amortisation, DSCR, catchment feasibility and a 1,000-run Monte Carlo, plus VLE and officer dashboards.

TYPE
GovTech decision engine
ROLE
Lead developer
BUILT
Sep 2026
STATUS
SIH 2026 prototype
VISIT
gram-udyam-saathi.vercel.app
SOURCE
GitHub
TECH STACK
TypeScriptReactWeb Speech APIMonte CarloFinance engine
GramUdyam Saathi screenshot
01

Borrowing the right amount

First-time rural entrepreneurs under MoSJE schemes often borrow what a formula says, not what their business can repay. GramUdyam Saathi asks twelve questions, in Hindi or English, and recommends a loan they can actually service.

02

Real maths, not a chatbot

The engines are deterministic code: scheme routing with edge cases, quarterly amortisation after moratorium, DSCR and break-even, catchment feasibility, and a seeded 1,000-run Monte Carlo for default risk.

  • Recommends the largest unit with DSCR ≥ 1.5 and default risk ≤ 15%
  • Golden test cases run in the browser
  • A numeric guard rejects any figure not backed by the facts
03

Built for every desk in the chain

Beneficiaries get a voice-first flow, village operators get a fast keyboard form, and scheme officers get a case queue with evidence and a bank-format project report.

04

Results

Voice-first, bilingual flowSeven surfaces from pitch page to officer dashboardDeterministic, testable finance engine
FAQ

Questions people ask

Is the data real?

The prototype runs on demo data for Barabanki district shaped after public datasets; the finance and feasibility logic is real.

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