Food image analysis for calorie estimation with Vision AI and Telegram
Who’s it for Teams building health/fitness apps, coaches running check-ins in chat, and anyone who needs quick, structured nutrition insights from food...
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Food Image Analysis for Calorie Estimation with Vision AI and Telegram
What This Workflow Does
This workflow uses Vision AI to analyze images of food and estimate their calorie content, providing quick and structured nutrition insights. The results are then sent to a Telegram chat, making it easy to share with users or track progress. The automation streamlines the process of gathering nutritional information, saving time and effort.
Who Should Use This
This workflow is ideal for teams building health and fitness apps, coaches running check-ins in chat, or anyone needing quick and accurate nutrition insights from food images.
Key Features
- Analyzes food images using Vision AI for calorie estimation
- Sends results directly to a Telegram chat
- Provides quick and structured nutrition insights
- Saves time and effort by automating the process
How to Get Started
To start using this workflow, simply import it into your n8n instance and customize the Telegram channel and Vision AI integrations to fit your needs.
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