Multi-Agent-AI-System-for-Collaborative-Task-Completion

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Multi-Agent PDF Downloader

This project implements a multi-agent system using AutoGen for collaborative PDF downloading of academic papers. The system consists of multiple AI agents working together to search, download, and verify academic papers on a specified topic.

Agents

1. User Proxy Agent: Coordinates the overall task and manages communication between agents
2. Research Assistant: Searches for relevant PDF papers using Google Scholar
3. Download Manager: Handles the downloading and proper storage of PDFs
4. Quality Control: Verifies downloads and ensures content relevance

Setup

1. Install dependencies:

pip install -r requirements.txt

2. Create a .env file with your OpenAI API key:

OPENAI_API_KEY=your_api_key_here

Usage

Run the script with:

python pdf_downloader.py

By default, it will search for papers about "machine learning optimization algorithms". You can modify the topic in the script.

Features

• Collaborative multi-agent system using AutoGen
• Academic paper search using Google Scholar
• Automated PDF downloading
• Quality control and verification
• Structured file organization

Note

Please ensure you comply with the terms of service of academic paper repositories and respect copyright laws when downloading papers.