Create an AI-Powered News Summarizer

🔍 Challenge Brief

Build a tool that fetches recent news articles and summarizes them using natural language processing (NLP). This could be a web tool or a Python script that takes long articles and returns 3–5 key bullet points. Actionable Steps & Guidance: Understand the Goal: Your task is to convert long news content into short, easy-to-understand summaries using AI. It’s useful for people who want quick updates. Choose Tools: Use Python and libraries like: newspaper3k to extract news content transformers or sumy for summarization Flask or Streamlit for a simple UI Summarize: For beginners, try using a pre-trained model like T5 or BART. You just need to feed in text and get back a summary. Build a UI (Optional): Use Streamlit to make a clean UI where users can paste a link and get a summary. Test & Polish: Make sure the summaries are readable and relevant. Include 3–4 examples in your submission.

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