Karthikeya Veeramallu
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case study · 05

Saarthi AI: Citizen Platform

Government approvals, turned into step-by-step roadmaps.

role
Solo
kind
rag, workflow engine
stack
  • Python
  • LangChain
  • ChromaDB
  • RAG
  • DAG Engine

problem

Help citizens with government-approval queries by turning the procedures into multi-step roadmaps.

approach

Built on Python, LangChain and ChromaDB: LLM intent detection and RAG handle government-approval queries, and a DAG-based workflow engine generates multi-step procedural roadmaps.

what I built

  • Built an AI citizen-assistance platform that uses LLM intent detection and RAG to handle government-approval queries.
  • Implemented a DAG-based workflow engine that generates multi-step procedural roadmaps.

impact

Government-approval queries come back as step-by-step procedural roadmaps.

Karthikeya Veeramallu

open to job opportunities

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