Automate Food Calorie Tracking via Telegram with GPT-4 Vision and Google Sheets - n8n Workflow | Neura Market

    Automate Food Calorie Tracking via Telegram with GPT-4 Vision and Google Sheets

    This workflow allows users to send food images to a Telegram bot, which uses OpenAI's GPT-4 Vision to identify the food and estimate its caloric value. The results are logged in Google Sheets and sent back to the user for easy tracking.

    By integrating Telegram, GPT-4 Vision, and Google Sheets, this workflow streamlines the process of tracking food intake. Users can simply send a photo of their meal to a Telegram bot. The image is processed by GPT-4 Vision to identify the food and estimate calories, which are then logged in Google Sheets for record-keeping. This setup is ideal for personal nutrition tracking, fitness enthusiasts, and anyone interested in maintaining a food journal.
    Platform
    n8n
    Category
    Health & Fitness
    Price
    Free
    Creator
    Noah Garcia
    • openai
    • function
    • telegram
    • googleSheets
    • telegramTrigger
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    How to import this workflow into n8n

    1. 1Purchase or download the workflow to get the n8n workflow JSON file.
    2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
    3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
    4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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