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.
