Track food calories via Telegram with GPT-4 Vision and Google Sheets

This workflow enables users to submit food images to a Telegram bot, which uses OpenAI’s GPT-4 Vision to identify the item and estimate its caloric value. The results are stored in Google Sheets and sent back to the user.

What it does: 1. Triggers on a photo sent via Telegram. 2. Acknowledges the user with a sticky note message. 3. Downloads the image file securely using Telegram's API. 4. Sends the image to GPT-4 Vision with a prompt: “Describe this food and estimate its calories.” 5. Logs the GPT response to a Google Sheet (with timestamp). 6. Replies to the user with the result (e.g., food name and estimated calories).

Use cases: - Personal food tracking - Nutrition logging via chat - Meal journaling for fitness or health

Requirements: - Telegram Bot Token (via credentials) - OpenAI GPT-4 Vision access - Google Sheets credential with access to the target sheet

Notes: - You can extend this template to calculate daily totals, categorize meals (breakfast/lunch/dinner), or even integrate with calorie goals. - The sticky note node confirms receipt to enhance UX. - Ideal for wellness apps, chat-based food journals, or AI-powered health bots.