How is

Hidden Brain Podcast

Using AI?

Keeps listeners engaged with smarter suggestions

Novelty Rating:

5

/5

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.

Analogy

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

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.

More Use Cases in

Media & Entertainment

Project Estimates

Estimated Tech Stack

  • Kafka
  • Apache Spark
  • Apache Beam
  • Apache Airflow
  • Argo
  • PyTorch
  • CLIP
  • SigLIP
  • BLIP-2
  • IDEFICS
  • Llama 3.1
  • FAISS
  • Milvus
  • Kubernetes
  • NVIDIA Triton
  • TorchServe
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