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
- $4.99
- Creator
- Noah Garcia
- openai
- function
- telegram
- googleSheets
- telegramTrigger
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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