Autonomous-AI-Agent

provenance:github:Fatima-Shakil-AI/Autonomous-AI-Agent

WHAT THIS AGENT DOES

This agent automatically handles research tasks, taking a topic you provide and finding relevant papers online. It then reads and summarizes those papers, creating a neat, organized report for you. This solves the problem of spending hours manually searching for and synthesizing information from numerous research articles. Researchers, analysts, or anyone needing to quickly understand a topic would find this helpful. The agent’s ability to work independently and produce structured reports saves significant time and effort compared to traditional research methods. It’s particularly useful for complex topics requiring a broad understanding of existing research.

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USE CASES

Research Automation Summarization

README

# Autonomous AI Agent for Workflow Automation

This project demonstrates an AI agent capable of **autonomously performing multi-step tasks**. It integrates large language models (LLMs) with Python workflows to search for research papers, summarize content, and generate structured reports.

## Features
- Fully autonomous task execution
- Searches research papers online
- Summarizes content using OpenAI GPT models
- Saves structured summaries as CSV reports
- Easily extendable for multi-step reasoning workflows

## Technologies
- Python
- OpenAI GPT (ChatCompletion API)
- LangChain (optional for advanced multi-step workflows)
- BeautifulSoup / Requests for web scraping
- Pandas for data handling

## How to Run
1. Open the notebook `Autonomous_Agent_Workflow.ipynb` in Google Colab
2. Set your OpenAI API key
3. Run all cells
4. Enter your research query
5. Summaries will be saved in `outputs/paper_summaries.csv`

```python
query = "Autonomous AI workflow automation"
results_df = autonomous_agent_task(query)

PUBLIC HISTORY

First discoveredMar 21, 2026

IDENTITY

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METADATA

platformgithub

first seenNov 6, 2025

last updatedNov 6, 2025

last crawled2 months ago

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