Fake News Headline Detector
Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate
About this project
What you'll build: A beginner text classifier that reads a news headline and predicts whether it looks "real" or "fake/clickbait", trained on a small labelled dataset.
Why it's a good starter: It is a first, self-contained NLP problem with a clear yes/no answer, free public datasets, and an obvious real-world hook.
What you'll learn: Loading a labelled text dataset, cleaning text, turning words into features (bag-of-words / TF-IDF) and training and testing a simple classifier.
Milestones
Skills you'll learn
Tools used
Prerequisites
Available mentors
No mentors have signed up for this project yet.
Be the first to mentorYou'll earn — Certificate (PDF)
AICTE-aligned Project Completion Certificate
A formal, audit-ready PDF certificate issued by Assessfy + your institute on successful completion. Includes AICTE credit hours, your evaluator's signature, and a QR code for third-party verification.
AICTE-aligned
Certificate of Project Completion
This is to certify that
has successfully completed the project
Fake News Headline Detector
You'll earn — Digital Badge
Shareable LinkedIn / Resume Skill Badge
A compact, verifiable Open-Badges-2.0-compliant digital credential. Add to your LinkedIn profile, GitHub README, or resume in one click. Recruiters can validate authenticity via a unique URL.
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