Unlocking AI-Powered Ad Blocking: A Journey in Innovation
A few months ago, I embarked on an exciting challenge: building an AI-powered ad blocker as a take-home assignment. Here’s what I discovered along the way:
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Defining the Challenge
Ads are intrusive, varying in types like text, images, and videos. The complexity of dynamic ad injection made low-latency performance crucial. -
Innovative Solutions
My approach shifted from static domain blocking to analyzing network requests. Leveraging AI models like CLIP for image classification and BERT for text detection, I optimized the identification process. -
Key Breakthrough
Utilizing transformers.js, I enabled model execution directly in the browser—significantly enhancing performance while reducing dependency issues. -
Next Steps
If you’re passionate about AI and tech:- Explore model fine-tuning for ad detection.
- Improve the extension’s UX.
Check out my project on GitHub.
💡 Let’s innovate together! Share your insights and experiences with AI.
