Multi-Agent-SEO-Blog-Generator

# Multi-Agent SEO Blog Generator

## Overview
Multi-Agent SEO Blog Generator is an AI-powered tool that automates the process of researching, generating, and optimizing SEO-friendly blog content. It fetches trending topics, creates structured blog content, optimizes for search engines, and saves the output in multiple formats including Markdown, TXT, HTML, and PDF.

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## System Architecture
```
📂 Multi-Agent-SEO-Blog-Generator
├── 📂 img
│   ├── 📄 output.png 
├── 📄 main.py         # Entry point for the blog generation process
├── 📄 research.py     # Fetches trending news topics 
├── 📄 utils.py        # Utility functions for blog creation
├── 📄 generate.py     # AI-based text generation (uses Gemini API)
├── 📄 saveblogs.py    # Handles file saving operations (MD, TXT, HTML, PDF)
├── 📄 APIkeys.py      # Manages API keys securely (Gemini & SerpAPI)
├── 📄 README.md       # Documentation
├── 📄 requirements.txt # Dependencies
```

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## Screenshot
<p align="center">
  <img src="img/output.png" alt="output"/>
</p>

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## Agent Workflow
1. **User Input**: Enter the blog topic.
2. **Research**: Fetches relevant news from Google News and Bing News using SerpAPI.
3. **Outline Creation**: Generates a structured outline based on research.
4. **Content Generation**: Uses Gemini AI to generate a full-length blog post.
5. **SEO Optimization**: Enhances content with SEO best practices and keyword insertion.
6. **Review**: Checks for grammar, clarity, and coherence.
7. **Save & Export**: Saves the blog in Markdown, TXT, HTML, and PDF formats.

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## Tools and Frameworks Used
- **Google Gemini API** - AI-powered content generation
- **SerpAPI (Bing News)** - Fetching trending news topics
- **Feedparser** - Parsing Google News RSS feeds
- **FPDF** - Generating PDF files
- **Markdown** - Converting content to HTML
- **OS & Time Libraries** - File handling and execution control

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## Installation and Execution
### Prerequisites

### Cloning the Repository
```sh
git