AI-Powered Movie Recommender via WhatsApp

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This workflow creates an intelligent movie recommendation bot for WhatsApp, allowing users to ask for genre-based movie suggestions, specific movie details, or streaming options. It integrates various APIs such as TMDb for movie data and Watchmode for streaming info, all triggered by incoming WhatsApp messages.

The process begins with a WhatsApp webhook that captures user messages. The message is analyzed using a language model node to identify the user’s intent—whether they want genre recommendations, specific movie information, or streaming availability. Based on this analysis, the workflow routes the request through different branches:

– For specific movies, it searches TMDb for details and formatting the response with rating, overview, and streaming sources.

– For genre requests, it retrieves top movies in that genre, formats recommendations, and shares them with the user.

– For streaming queries, it fetches streaming options and responds with platforms where the movie is available.

The final step involves formatting the response appropriately and sending it back to the user via WhatsApp. This automation provides a seamless, interactive experience for movie enthusiasts, ideal for entertainment bots, customer engagement, or media services.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOllama, code, httpRequest, if, set, stickyNote, webhook

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