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← AI 📝

Instant Text Summarizer

Paste a wall of text, get the 3 sentences that actually matter -- no ML required.

🟡 MediumDifficulty
3-4 hoursTime
Python, JavaScript, TypeScriptLanguages

What you're building

You're building a summarizer that reads a chunk of text and picks out its most 'important' sentences -- using nothing but word-frequency math, the same trick search engines used before deep learning existed. It won't write new sentences like ChatGPT would; instead it plays highlighter, picking the best existing ones. Paste in a news article and watch it extract a surprisingly decent TL;DR in milliseconds.

What you'll unlock 🔓

Text parsingFrequency scoringArray sorting

You'll need

🗺️ Build roadmap

01 Build the paste-and-summarize UI 02 Split text into clean sentences 03 Count word frequency, ignoring stopwords 04 Score every sentence by its words' frequency 05 Pick the top N sentences and reorder them 06 Display the summary with highlighted keywords 07 Add a slider for summary length
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