Telegram Nutrition Tracker with Gemini AI & Google Sheets

This n8n workflow creates a Telegram-based Nutrition AI Assistant, serving as an open-source alternative to apps like Cal AI. Users interact via text, voice messages (transcribed automatically), or food images for AI-powered analysis to log meals, calculate calories, proteins, carbs, and fats, and monitor nutrition goals. It uses Google Sheets for storing user profiles (targets) and meal logs, with Gemini AI handling natural conversations, food recognition, and personalized daily progress reports featuring visual progress bars.

Key benefits include multi-input support for seamless logging, no need for personal health data during onboarding, easy goal updates, and advanced n8n features like Merge, Subworkflow, and Code nodes for efficient data processing. It's highly customizable, scalable for multiple users, and privacy-focused by avoiding sensitive data storage.

Ideal use cases: Personal fitness tracking, coaching services for clients via Telegram groups, wellness communities, or automating nutrition journaling to save time on manual entry. Perfect for health enthusiasts, trainers, or anyone seeking an intelligent, no-app alternative for macro management and insights.