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A dynamic system using multiple AI agents in an AI engine to interact with users for a variety of tasks

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Agents and AI Engines Open in Colab

This repository demonstrates a dynamic shopping environment using AI agents to interact with users and perform various tasks, including product searches on Amazon.in. The project leverages multiple AI agents to handle different functionalities such as booking tickets, fetching offers, checking price trends, and conducting online product searches.

Project Overview

This project features several AI agents that communicate and collaborate to perform complex tasks seamlessly. The primary agents included in this project are:

video2954016003.online-video-cutter.com.mp4
  • LLMAgent: Manages natural language understanding and generation using a Hugging Face model, facilitating smooth user interactions.
  • ShoppingAgent: Conducts product searches on Amazon.in, ensuring users find the best available options.
  • BookingAgent: Manages ticket booking inquiries, simplifying the booking process for users.
  • OfferAgent: Fetches the latest offers, providing users with the best deals and discounts.
  • PriceTrendAgent: Analyzes and checks price trends for products, helping users make informed purchasing decisions.

Installation

  1. Clone the Repository:
    git clone https://github.com/suriyakumar99/ai-engine.git
    cd ai-engine/shopping-environment.ipynb

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A dynamic system using multiple AI agents in an AI engine to interact with users for a variety of tasks

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