How KayBer Keeps You Safe: Our AI Model for Inappropriate Content Moderation (PPCensor)

Hey everyone! At KayBer, we’re committed to creating a fun and safe space for connecting with others. One of the key features we’ve implemented is our machine learning model, PPCensor (short for Private Parts Censor), which proactively blocks inappropriate content in video streams.

How PPCensor Works:

The model analyzes video frames in real-time to detect and block any inappropriate or harmful content.

It uses a combination of advanced image processing techniques and deep learning to make decisions in milliseconds.

If inappropriate content is detected, PPCensor automatically kicks the offending user out of the call and applies a temporary ban to prevent further disruptions. This ensures that the community remains safe and welcoming.

It also notifies the staff team of the detection so they can review the incident and determine if further action is needed, such as extending the ban or permanently removing the user.

Why It’s Important:

This system ensures that users can enjoy their experience on KayBer without worrying about encountering harmful or objectionable material. It’s part of our ongoing effort to prioritize user safety and create a positive environment for everyone.

Performance:

PPCensor currently achieves 93% accuracy, meaning it’s highly effective at identifying inappropriate content while minimizing false positives. We’re continuously working on improving it to make the platform even safer.

We’d love to hear your thoughts about this feature and any suggestions you have for making KayBer better! Let us know in the comments.

Thanks for being part of our community! 💚💙