How does

Hidden Brain Podcast

Use AI?

Keeps listeners engaged with smarter suggestions

Project Overview

AI personalizes podcast content recommendations based on user preferences.

Layman's Explanation

The Hidden Brain app learns what kinds of stories you like, then serves up new episodes you’ll probably love, without you having to search.

Details

Hidden Brain developed a mobile app that uses AI-driven recommendation systems to personalize podcast discovery for each listener. By analyzing user behavior and preferences, the system suggests episodes aligned with their interests, encouraging deeper engagement and longer listening sessions. This tailored approach enhances the user experience and helps Hidden Brain grow and retain its audience in a crowded media landscape.

Analogy

It’s like having a friend who always knows the next podcast you’ll binge before you do.

Machine Learning Techniques Used

  • Recommendation Systems: Personalizes podcast content recommendations.
  • Collaborative Filtering: Suggests episodes by user interest.
  • More Use Cases in

    Media & Entertainment

    3

    /5

    Novelty Justification

    Personalized content recommendations are standard in media apps, with moderate process innovation.

    Project Estimates

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