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ai-customer-support

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KMatrix is an LLM workflow application and RAG (Retrieval-Augmented Generation) knowledge base system built upon RuoYi and LangChain4j / Langgraph4j. Drawing inspiration from projects like MaxKB and Dify, it delivers the stability, security, and scalability required for enterprise-grade applications.

  • Updated Apr 24, 2026
  • Java

A modular voice AI platform for handling real phone and VoIP calls with intelligent, domain-specific conversations. Combines Retrieval-Augmented Generation (RAG), automatic speech recognition (ASR), text-to-speech (TTS), and knowledge base integration for natural outbound calling. Built with LiveKit, Plivo, OpenAI, Hugging Face, Python, and Node.js

  • Updated Aug 4, 2025
  • Python

🎤 Build a real-time voice chat system with text messaging, voice messages, and live streaming, utilizing Socket.IO, Redis, React, and Node.js.

  • Updated Apr 25, 2026
  • JavaScript

Hackathon 5 — Stage 2 implementation of the Customer Success Digital FTE. This stage introduces FastAPI backend services, MCP tools, database persistence, and multi-channel support (Gmail, WhatsApp, Web Form). Project Owner: Mehreen Asghar

  • Updated Mar 14, 2026
  • Python

A smart AI-powered call center automation system designed to reduce customer wait times, improve response quality, and deliver truly empathetic interactions. By intelligently understanding customer intent and emotional tone, the system ensures faster resolutions, smoother experiences, and seamless handoffs when human assistance is needed.

  • Updated Apr 5, 2026
  • Jupyter Notebook

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