$ cat projects/sevasaathi.md
SevaSaathi v2 — Live Opportunity Discovery
AI agents search the live web for scholarships, exams, jobs, and events.
Ask in free text → the system asks tailored follow-up questions → four parallel web-search agents (scholarships, exams, jobs, events) hunt the live web while a verifier/ranker agent scores results. Evolution of the earlier multi-agent SevaSaathi discovery engine (Scout → Extractor → Analyst → Compiler over live crawls).
// problem
Students and rural families miss scholarships and government schemes because discovery depends on knowing where to look.
// impact
Model-generated follow-up questions personalize every search; Gemini with Google Search grounding is primary, with Groq and OpenRouter free-tier fallbacks so it runs at zero cost. No login or database by design — a signed-cookie 3/day rate limit, localStorage persistence, and calendar export keep it simple and privacy-friendly.
// tech-stack