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Multi-Agent-Research-Automation-System

AI-powered research automation system that streamlines literature reviews by refining research topics, retrieving relevant papers from arXiv, generating AI-based summaries with Google Gemini, identifying research gaps, and creating structured PDF reports. Built using Python, Google Colab, Gemini API, and arXiv API.

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README preview

Multi-Agent Research Automation System

Overview

An AI-powered research automation system that simplifies academic literature reviews using Google Gemini and the arXiv API.

Features

Topic Refinement
Research Paper Retrieval
AI-powered Paper Summarization
Research Gap Analysis
PDF Report Generation

Technologies Used

Python
Google Colab
Google Gemini API
arXiv API
FPDF

How to Run

Open the notebook in Google Colab.
Install the required libraries.
Add your Gemini API key.
Run all cells.
Enter a research topic.
Download the generated PDF report.

Author

Lipika Panda

Project metadata

Language: Jupyter Notebook

License: MIT License

Default branch: main

Created: 7/7/2026

Updated: 7/7/2026

Status: Active

Repository type: Original

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