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Language-Optimized Listening (LOL) News — Personalized Humor-Powered News-to-Podcast App
Project type
Mobile App · AI TTS · Creative Personalization
Date
February 2025
Role
Product Designer & AI Engineer
Language-Optimized Listening (LOL) News is a cross-platform mobile app that transforms daily headlines into personalized, podcast-style news briefings — narrated in your sense of humor.
Built with React Native (Expo) and powered by Text-to-Speech (TTS), the app learns comedic rhythm from your favorite creators and delivers world events the way you would want to hear them.
-> Pick a date.
-> Pick a favorite content creator or set one and we will train your humor using samples from your favorite YouTubers or podcasters.
-> Tap “Play News Podcast.”
-> Suddenly, you’re laughing and learning — your feed, your tone, your vibe.
Stack
React Native (Expo) · Expo Speech (TTS) · TensorFlow Lite (for tone modeling) · Node Express Mock API · Jest Testing
Highlights
- Engineered a humor-profiling system that learns comedic pacing from short creator clips.
- Integrated Expo Speech API for real-time, tone-adjustable narration.
- Developed modular architecture separating humor inference, news ingestion, and playback layers.
- Built date-based fetch for daily or retrospective news selection.
- Designed a clean, minimalist UI balancing credibility and levity.
Result
A working cross-platform prototype that blends AI, entertainment, and personalization, turning global headlines into your own daily infotainment podcast.
