AI Research Agents

An advanced system for collecting and analyzing data from various sources using AI-powered agents.

Features

• Social media data collection (LinkedIn, Twitter, Instagram, Facebook)
• Web scraping capabilities for blogs, news sites, and review platforms
• Automated data processing and analysis with sentiment analysis and topic modeling (enhanced)
• Flexible trigger system for automation (placeholder)
• Comprehensive reporting and visualization (enhanced with user interface)

Installation

Prerequisites:

• Git: A version control system for tracking code changes. Install it from https://git-scm.com/downloads

Steps:

1. Clone the repository:

   git clone [https://github.com/dev2703/ai-research-agents.git](https://github.com/dev2703/ai-research-agents.git)
   cd ai-research-agents

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Configure settings:

   cp src/config/settings.example.py src/config/settings.py
   # Edit settings.py with your API keys and configuration

Usage

Basic usage example (focusing on data collection):

from src.agents.social_media_agent import SocialMediaAgent
from src.agents.web_scraper_agent import WebScraperAgent

# Initialize agents
social_agent = SocialMediaAgent()
web_agent = WebScraperAgent()

# Collect data
social_data = social_agent.collect_data(platforms=['linkedin', 'twitter'])
web_data = web_agent.scrape_websites(['example.com'])