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Web Development · Mini Project
Spoiler Blocker Browser Extension
Chrome extension that blurs likely spoilers using a text classifier
1-2 weeks build
Overview
A Manifest V3 Chrome extension that watches the text on the pages you read and blurs sentences a classifier flags as spoilers, with a click to reveal each one. The model is trained on a public review dataset with sentence-level spoiler labels, and the user can add a watchlist of titles to make blocking stricter for those shows.
What makes it stand up
- 01Manifest V3 extension with a content script and popup
- 02MutationObserver so dynamically loaded comments are checked too
- 03TF-IDF and logistic regression spoiler classifier
- 04Per-title watchlist that tightens the threshold
- 05Blur with click-to-reveal and a per-site allowlist
Module breakdown
- 01
Content script
Sentence splitting and blurring of flagged text nodes.
- 02
Classifier
Trained on labelled review sentences with precision-recall tuning.
- 03
Inference API
FastAPI endpoint that scores batches of sentences.
- 04
Popup
Toggle, sensitivity slider, watchlist and allowlist.
- 05
Evaluation
Precision, recall and threshold curves in the notebook.
After this, you will be able to
- Explain why recall matters more than precision for spoilers
- Walk through how the content script finds and blurs text
- Demo blocking on a live review page
Technology stack
- JavaScript
- Python
- scikit-learn
- FastAPI
- Level
- Mini Project
- Domain
- Web Development
- Build time
- 1-2 weeks
- Difficulty
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support