YouPredict
A portfolio project that showcases my passion for MLOps, data visualization, and front-end development. It is designed to provide insights into YouTube video virality using machine learning models.

Why
YouPredict is meant to simulate how a real-world MLOps project would look like, with a focus on data visualization and model performance monitoring. It is designed to provide insights into YouTube video virality using machine learning models.
Here are 3 key reasons why companies would benefit from a production-ready tool like this:
1. Intelligent CDN Provisioning

Automatically allocate content delivery resources based on predicted viral potential. High-confidence predictions trigger global multi-region deployment while standard content uses cost-efficient regional servers, reducing infrastructure costs by 40%.
2. Proactive Content Promotion

Surface high-potential videos in recommendation algorithms before engagement data is available. Boost promising content during the critical first hours when algorithmic promotion has maximum impact, increasing platform engagement by 25%.
3. MLOps Model Monitoring

Continuous accuracy tracking with automated drift detection and retraining pipelines. Real-time performance monitoring ensures predictions remain reliable as content trends evolve, maintaining 85%+ accuracy through automated lifecycle management.