In this video, we walk through how to build autonomous AI agents that can scrape live data from the web, perform sentiment analysis, and automatically generate interactive dashboards — all powered by Crawl4AI, LangChain, LangGraph, and Streamlit.
🧠What You’ll Learn:
How to create AI agents using the ReAct (Reason + Act) framework
Setting up a multi-agent system (Data, Visualization, and Refinement agents)
Using Crawl4AI for intelligent, resilient web scraping
Running sentiment analysis on CNN and Fox News headlines
Auto-generating dashboards with Streamlit
How to automate the entire pipeline with scheduling
💻 Tech Stack:
Python
Crawl4AI (AI-native web scraping)
LangGraph + LangChain (agent orchestration)
Streamlit (dashboard generation)
VADER Sentiment, Plotly, WordCloud
🔗 Project Code & Resources:
#AI #Python #Crawl4AI #Streamlit #LangChain #Automation #DataScience #Dashboard #MachineLearning #CodingTutorial