Media & Entertainment7 weeks
AI Content Curator & Viral Predictor
Client: StreamFlix
Curate perfect content and predict viral hits with NLP and engagement signals.
The Challenge
StreamFlix needed to keep users engaged on streaming platforms by delivering perfectly curated content and identifying potential viral hits for promotional focus. The challenge was to increase viewer retention and allocate promotional budgets effectively.
Key Challenges:
- Keep users engaged with perfectly curated content
- Identify potential viral hits for promotional focus
- Increase viewer retention on streaming platforms
- Allocate promotional budgets effectively
Without effective content curation, the platform faced low viewer retention, inefficient marketing spend, and inability to identify breakout content early.
Our Solution
- Deep learning recommendation system delivering personalized content
- NLP analysis of scripts and reviews for content understanding
- Sentiment analysis identifying audience preferences
- Early engagement predictors scoring viral potential
- Predictive model identifying breakout shows before they peak
- Automated content curation optimizing viewer experience
Technology Stack
TensorFlow RecommendersPyTorchNLPSentiment AnalysisDataflowBigQuery
Client Testimonial
"Viewer retention up 28%, promo spend 5x more effective on breakout shows."
— Head of Product, StreamFlix