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Case Study

AzterRadio

AI-powered medical podcast platform turning journals into audio episodes.

Problem

Medical professionals can't keep up with thousands of weekly publications during clinical schedules.

Approach

Built an AI pipeline using ElevenLabs and Claude to convert articles into multi-speaker audio, with a Next.js admin dashboard and Expo mobile app for listening.

Impact

Reduced episode production from hours to under 15 minutes at less than €2 per episode.

What I Built

  • Designed an end-to-end AI pipeline that ingests medical journal articles, extracts key findings, and generates conversational podcast scripts using Claude.
  • Integrated ElevenLabs for multi-speaker voice synthesis, producing natural-sounding host/guest dialogue from generated scripts.
  • Built a Next.js admin dashboard for editorial review, episode management, and publication scheduling.
  • Developed an Expo-based mobile app with offline listening, specialty-based subscriptions, and CME credit tracking.
  • Reduced per-episode production cost to under €2 while maintaining medical accuracy through structured prompt engineering.

Technologies

Next.jsReact NativeExpoSupabaseElevenLabsClaude API