This workflow enables users to send voice or text messages via Telegram to analyze their dietary intake. Upon receiving a message, it transcribes voice messages using OpenAI’s AI, extracts nutritional data, and estimates the content of various nutrients like calories, proteins, and minerals based on typical values. The workflow then stores this information in Google Sheets for tracking and analysis. Designed for health-conscious individuals or dietitians, this automation simplifies dietary logging and nutrient analysis without manual input.
Automated Nutrition Analysis from Telegram Voice and Text
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.outputParserStructured, code, googleSheets, if, limit, set, splitOut, stickyNote, telegram, telegramTrigger |
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