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How to Build a Personalized AI News Digest Using Python and Free APIs

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A developer tutorial published on DEV Community walks through building an automated, personalized AI news digest using Python, NewsAPI, and a large language model such as GPT-3.5-turbo. The system fetches daily articles matching topics like LLMs, computer vision, and machine learning, then filters them by relevance using keyword scoring. Each shortlisted article is summarized into a single factual sentence via an LLM API call, keeping the digest concise and scannable. The digest can be delivered automatically to email, Slack, or Telegram using GitHub Actions or a personal server. The tutorial is designed to be deployable in an afternoon and is extensible with features like sentiment analysis or local model summarization.

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