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Develop a Multi-Agent Research Assistant Using AutoGen

PROJECT

Develop a Multi-Agent Research Assistant Using AutoGen

In this project, we’ll build a multi-agent research assistant that identifies papers, extracts insights, compiles reports, and identifies research gaps, integrating automation with human oversight to facilitate an interactive workflow.

You will learn to:

Set up and configure multiple AI agents for research tasks.

Automate the discovery and summarization of academic papers.

Implement a sequential workflow to coordinate agent interactions.

Integrate human-in-the-loop (HITL) within an automated workflow.

Extract insights and compile structured research reports.

Analyze research gaps and suggest future directions.

Skills

Generative AI

Chatbot

Prerequisites

Basic knowledge of Python programming

Understanding of APIs and HTTP requests

Familiarity with asynchronous functions and await syntax

Experience with object-oriented programming

Technologies

OpenAI

Python

Project Description

In this project, we will build a multi-agent research assistant that automates the process of discovering, analyzing, and summarizing academic papers. We will integrate several AI agents that handle topic refinement, paper discovery, insight extraction, report compilation, and gap analysis, allowing for a structured research workflow. Learners will work with Python, API integrations, and agent orchestration to create a system capable of end-to-end research automation, including human-in-the-loop approval for enhanced control and oversight.

We will also explore techniques for agent collaboration, sequential execution, and custom workflow management. By the end of the project, we will have a fully functional research assistant that produces well-structured reports, highlighting key insights and future research directions.

Project Tasks

Getting Started

Task 0: Set Up Your Environment and Load API Keys

Task 1: Import Libraries

Tool and Agent Setup

Task 2: Implement an arXiv Paper Search Function

Task 3: Create the Topic Refinement Agent

Task 4: Create the Paper Discovery Agent

Task 5: Add the Insight Synthesizer Agent

Task 6: Create the Report Compiler Agent

Task 7: Add the Gap Analysis Agent

Workflow Control and Termination

Task 8: Define Termination Conditions

Task 9: Build the Multi-Agent Workflow

Human-in-the-Loop and Interactive Execution

Task 10: Insert a User Proxy Agent for Manual Approval

Task 11: Implement a Custom Selector Function for User Approval

Task 12: Execute the Full Interactive Research Workflow

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Relevant Courses

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