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Autonomous-AI-Agent

provenance:github:Fatima-Shakil-AI/Autonomous-AI-Agent
WHAT THIS AGENT DOES

This AI agent automatically handles research tasks for you. It can find relevant research papers online, read and summarize them, and then organize the key findings into a clear report. This is helpful for anyone who needs to quickly gather and understand information from a large number of research papers, like analysts, consultants, or researchers needing to stay on top of their field.

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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

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platformgithub
first seenNov 6, 2025
last updatedNov 6, 2025
last crawled26 days ago
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