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AI-Driven Customer Support with Multi-Agents

Welcome to the official repository for our hackathon project: AI-Driven Customer Support with Multi-Agents. This project is part of the Hack the Future: A Gen AI Sprint Powered by Data, where we leverage AI-powered multi-agent systems to enhance customer service experiences.

πŸš€ Project Overview

It start from the src - Source folder Our goal is to build an AI-driven customer support system using multiple agents that can:

  • Handle customer queries efficiently
  • Provide real-time responses using generative AI
  • Escalate complex issues to human support
  • Learn from interactions to improve future responses

πŸ“Œ Objectives

  • Implement a multi-agent framework for customer support
  • Utilize Ollama-based on-prem LLMs for response generation
  • Integrate custom tools such as an API, web scraper, and ML models
  • Store and retrieve customer interaction data using SQLite DB
  • Develop an embedding model for better response matching

πŸ—οΈ Tech Stack

  • Programming Languages: Python
  • Frameworks & Libraries: LangChain, FastAPI, OpenAI API
  • Database: SQLite
  • Multi-Agent System: Custom-built using Python frameworks
  • Deployment: Docker

πŸ“‚ Repository Structure

β”œβ”€β”€ docs/             # Documentation & research papers
β”œβ”€β”€ src/              # Source code for AI agents
β”‚   β”œβ”€β”€ models/       # AI models and training scripts
β”‚   β”œβ”€β”€ data/         # Customer interaction data & processing scripts
β”‚   β”œβ”€β”€ api/          # Backend API for customer support interactions
β”œβ”€β”€ tests/            # Unit tests & integration tests
β”œβ”€β”€ .github/          # CI/CD workflows
└── README.md         # Project overview & instructions

πŸš€ Getting Started

Prerequisites

Ensure you have the following installed:

  • Python 3.8+
  • Git

Contribution

  • Venkatesh R
  • Yuvanesh KS

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