TasteTrails - Qloo AI Hackathon Submittion
Автор: Kishan Rawat_xo
Загружено: 2025-08-07
Просмотров: 22
TasteTrails - Qloo AI Hackathon Submittion.
TasteTrails helps you discover personalized media insights based on your favorite places and preferences — from songs in Miami, to movies in New York, to trending podcasts wherever you are.
Built for the Qloo Hackathon, this project leverages the Qloo API to bring culturally relevant recommendations to life
Features
🔍 Search-Based Discovery – Enter a keyword and location to find songs, movies, or podcasts that match your vibe.
🌎 Location-Aware Recommendations – Get suggestions tailored to cultural and entertainment trends in your chosen city.
🎶🎥🎙️ Multi-Media Insights – Discover albums, films, shows, and more, enriched with genre tags and popularity scores.
🖼️ Beautiful UI – Responsive card-based design with Tailwind CSS and ShadCN UI components.
How It Works
TasteTrails uses the Qloo API to fetch media entities (like albums, movies, podcasts) and enrich them with:
Tags (genre, themes)
Popularity scores
Cultural metadata
Location-based filters
#hackathon #hackathonproject #ai #aiproject #webdevelopment #fullstack #devpost #react #nextjs #buildinpublic

Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке: