$ cat projects/janseva-ai.md
JanSeva AI — Welfare Scheme Intelligence
Enter a family's details once and it works out which of 26 welfare schemes they qualify for.
// why: Eligible families miss benefits because criteria hide across portals.
$ cat projects/janseva-ai.md▌
TL;DR
- One profile, 26 schemes: deterministic engine, never LLM-invented
- Live layer: deadlines, documents, news via 5 search agents
- 740+ districts: what-if simulator, vault, tracker, EN/HI voice
// what does it do?
Enter a family's details once; a deterministic rule engine scores 26 central/state schemes. A 5-agent live-search layer adds deadlines, documents, news, and re-ranking. Bilingual chatbot, voice, appeal letters, certificates.
// why this project?
Eligible families miss out on benefits they're entitled to because criteria are fragmented across opaque portals and nobody can tell them what applies.
// what broke / learned
Kept entitlements deterministic on purpose — LLMs only add deadlines/docs, never decide.
// results
- A 408-line deterministic eligibility engine keeps entitlement decisions auditable, so qualifications are never invented by a model. The LLM layer only adds deadlines, documents, and news. There's an SSE-streamed staggered agent pipeline underneath, district data covering 740+ Indian districts, plus a what-if simulator, document vault, application tracker, and guided quiz.
Tech stack
Source is private; happy to walk through it on a call.
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