LLM- Powered Aggregator System For Daily Digest AI-News

Abstract: The AI News Aggregator is an intelligent, automated digital content aggregation system designed to streamline the consumption of AI-related news. In a fast-paced technology landscape, keeping up with multiple sources such as blogs, videos, and RSS feeds is time-consuming and cognitively taxing. This system addresses this challenge by scraping content from varied sources including YouTube channels, OpenAI, and Anthropic RSS feeds, processing them through Large Language Models (LLMs) to extract meaningful summaries, scoring them against personalized user preference profiles, and delivering a highly curated, easily digestible daily email digest directly to the end user. The system also provides a minimalist glassmorphic web dashboard for a quick browser-based overview of the latest curated digests. Built on a Python 3.12+ modular architecture and deployed on Vercel serverless infrastructure with GitHub Actions-driven automation, the system demonstrates the practical convergence of web scraping, LLM reasoning, and personalization at low operational cost.

Keywords: LLM, AI News Aggregator, Daily Digest, Google Gemini API, Web Scraping, RSS Feed, Personalization, Natural Language Processing, Automated Summarization, Python