🤖A Voice-First Agentic AI for Government Schemes in Hindi. Built with LangGraph (State Machine), Groq (Llama-3), and EdgeTTS for low-latency, CPU-optimized inference without GPUs.

Voice-first AI agent for government scheme discovery in Hindi

Voice-first, agentic AI system in Hindi that helps users discover and apply for Indian government welfare schemes using planning, tool execution, memory, and failure handling.

A voice-first, Hindi-language AI agent that helps users identify and understand government welfare schemes they are eligible for. The system supports speech input, speech output, agentic reasoning, memory, tool usage, and failure handling, as required by the assignment.

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A voice-first, agentic AI system that helps users identify and apply for government welfare schemes in Hindi. Built using a Planner-Executor-Evaluator architecture with conversation memory and multi-tool integration.

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voice-first-ai-agent for government schemes(hindi)

Voice first Hindi AI agent for government scheme eligibility

Voice-first Hindi Agentic AI for Government Scheme Eligibility

Voice-first agentic AI system in Hindi for government scheme assistance

🎤 Hindi Government Scheme Voice Agent This project is an end-to-end Hindi voice-based government scheme assistant that allows users to speak naturally and receive personalized scheme eligibility information through both text and audio responses.

A voice-based Hindi AI agent that autonomously reasons, uses tools, maintains memory, and guides users through government scheme eligibility and application.

An Agentic RAG system built with LangGraph, Qdrant, and Whisper. It provides accurate, voice-based government scheme recommendations in English, Hindi, and Hinglish.

A real-time Hindi voice agent that helps Indian citizens discover and understand government welfare schemes — built using Sarvam AI, Groq LLaMA 3.3, and LiveKit.

voice-first agentic AI that helps users identify and apply for Indian Government Welfare Schemes in native languages (Hindi, Bengali, Marathi, etc.) using a ReAct workflow.

An AI-powered Hindi voice agent that informs farmers about government schemes like PM-KUSUM. It listens, responds naturally, collects feedback, and learns over time using machine learning.

"A Voice-First AI Agent built with the Planner-Executor-Evaluator pattern to help users discover government schemes via native Hindi reasoning. Powered by Llama 3.3 and Groq."

This project implements a voice‑first, agentic AI system that helps users discover suitable Indian government/welfare schemes through a natural Hindi voice conversation. The agent can listen, think, use tools, remember past turns, handle errors, and speak back to the user.

Jan Sahayyak is a sophisticated, voice-first AI service agent designed to bridge the digital divide for Indian citizens. It acts as an autonomous assistant that helps users discover and verify their eligibility for government welfare schemes using natural, spoken Hindi.

This is a hindi language voice chat agent which take up some user credentials and evaluate the eligibility of the user for any available scheme and dummy apply on behalf of the user. This is in it's prototype form not for real world use.

🇮🇳 Seva: A Voice-First, Native Hindi AI Agent that autonomously helps citizens identify and apply for government schemes. Built with Llama-3.3 (Groq), it features a true Planner-Executor (ReAct) workflow, real-time eligibility tools, multi-turn memory, and robust failure handling.