Multilingual Voice Agent for Small Businesses

AI Voice Assistants That Speak Every Customer’s Language.

Expert AI Agents
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The Problem

Small businesses often lose customers due to language barriers and limited availability for live support. This system breaks those barriers by enabling real-time, multilingual, and intelligent voice-based interactions — without requiring the business to hire a 24/7 staff or support team. It delivers human-like customer service, instantly and affordably.

The Solution

The Multilingual Voice Agent is a Django-based full-stack SaaS platform that empowers small businesses like clinics, hotels, and salons to offer AI-powered voice support in any language — via WhatsApp or a web widget. Customers can speak naturally in their native language, and the system uses OpenAI Whisper to transcribe the voice input. The transcription is then processed by a LangGraph-powered agent pipeline using LLaMA-3 70B via Groq API for intelligent, context-aware reasoning. By integrating Retrieval Augmented Generation (RAG) over a custom knowledge base (e.g., business FAQs, services, or schedule data), the assistant responds with accurate and helpful replies — delivered in the user's native language through either text or synthesized voice.

Technology Stack

Django
FastAPI
LangGraph
LLaMA-3 70B (Groq API)
OpenAI Whisper
ChromaDB or Weaviate
Vector DB
RAG
WhatsApp API
WebRTC
Twilio
gTTS / ElevenLabs (TTS)
Tailwind CSS
JavaScript

Project Details

Difficulty
Expert
AI Category
AI Agents
Category
AI-Agents
Views
4
Published
Aug 07, 2025

Tags

AI Automation Contextual AI Django Groq Hugging Face LLMs LangChain Large Language Models Multilingual Agent NLP RAG SEO Analysis Three.js Transformers WhatsApp Integration Whisper

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