This n8n workflow creates a personalized music experience by combining AI, weather insights, and astrology. When triggered manually, it gathers user data such as city, birthday, and mood, then fetches current weather conditions and zodiac star sign details. Using OpenAI’s GPT-4 model, it generates a Taiwan indie music recommendation tailored to the weather and star sign fortune, explaining why the song was chosen and highlighting its features. The workflow searches for the song on Spotify and compiles all relevant information into a structured output, making it an engaging way to discover music aligned with current weather and personal astrology. This setup is perfect for personalized music recommendations, mood-enhancing playlists, or enhancing user engagement on music or lifestyle platforms.
Personalized Taiwan Indie Music Recommender Using AI and Weather Data
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, manualTrigger, set, spotify, stickyNote |
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