← AI 📬

Spam or Ham Email Classifier

Paste an email, get an instant spam score -- powered by a hand-tuned keyword dictionary, not machine learning.

🟡 MediumDifficulty

2-3 hoursTime

Python, JavaScript, TypeScriptLanguages

What you're building

You're building a spam filter the old-school way: a dictionary of suspicious words and phrases, each with a 'suspicion weight', that gets summed up into a spam score. It's the same core idea real early-2000s spam filters used before neural networks took over -- and it's shockingly effective on obvious spam like 'FREE MONEY, CLICK NOW!!!'. You'll see exactly which words tipped the scale, so the logic is fully transparent.

What you'll unlock 🔓

Weighted scoringString matchingConditional UI

You'll need

Basic JavaScript
Objects and loops
A browser

🗺️ Build roadmap

01 Build the paste-an-email UI → 02 Create a weighted keyword dictionary → 03 Score the pasted text against the dictionary → 04 Add bonus signals like ALL CAPS and excess exclamation points → 05 Show a spam meter with the final verdict → 06 List which specific signals triggered → 07 Add example emails to test with one click

🔒

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