Websense

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  Websense

Inspiration Websense tackles information overload by delivering personalized web content recommendations.

What it does It suggests articles, videos, and news based on user browsing patterns, refining recommendations with user feedback.

How we built it Built with Google Chrome's AI APIs, JavaScript, and machine learning (Python, TensorFlow). Uses NLP for content relevance and cloud storage for data processing.

Challenges we ran into Ensuring data privacy.

Accurate content filtering.

Optimizing real-time performance.

Accomplishments that we're proud of High recommendation accuracy.

Strong privacy measures.

Learning system that improves over time.

What we learned

What's next for Websense Enhance algorithms, add more content sources, and expand to mobile platforms.

Built With

• extensions
• firebase.mongodb.google-chrome
• flask.gcp
• javascript
• node.js.chrome
• react