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AI News Agent: Automated AI-Powered Scraping & Summarization System

An automated, intelligent end-to-end system designed to fetch, analyze, and summarize the latest technology and business news from multiple web sources. The agent streamlines information retrieval by parsing complex web content and delivering structured, highly accurate summaries using advanced semantic LLM orchestration.

🚀 Key Features:

Automated Web Scraping: Smart data ingestion pipeline built to extract relevant news articles and textual content from diverse online publications dynamically.

Intelligent AI Summarization: Powered by state-of-the-art LLMs to distill long-form articles into concise, high-value summaries while retaining critical factual context.

Advanced Content Filtering: Tailored prompts and extraction logic that filter out noise, advertisements, and irrelevant content to focus strictly on core information.

Clean & Scalable Codebase: Fully production-ready architecture using modern Python design patterns for easy maintenance and scaling.

🛠️ Tech Stack & Tools Used:

Core Language & Scripting: Python (BeautifulSoup, Requests, and Data Parsers).

AI & Orchestration: OpenAI APIs, Groq APIs, and LangChain frameworks.

Version Control: Git & GitHub.

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