Nutrition Tracker & Meal Logger with Telegram, Gemini AI and Google Sheets
π€π₯ Telegram Nutrition AI Assistant (Alternative to Cal AI App) > AI-powered nutrition assistant for Telegram β log meals, set goals, and get personalized daily reports with Google Sheets integration. π Description This n8n template creates a Telegram-based Nutrition AI Assistant π₯π₯ designed as an open-source alternative to the Cal AI mobile app. It allows users to interact with an AI agent via text, voice, or images to track meals, calculate macros, and monitor nutrition goals directly from Telegram. The system integrates Google Sheets as the database, handling both user profiles and meal logs, while leveraging Gemini AI for natural conversation, food recognition, and daily progress reports. β¨ Key Features π¬ Multi-input support: Text, voice messages (transcribed), and food images (AI analysis). π Macro calculation: Automatic estimation of calories, proteins, carbs, and fats. π User-friendly registration: Simple onboarding without storing personal health data (no weight/height required). π― Goal tracking: Users can set and update calorie and protein targets. π Daily reports: Personalized progress messages with visual progress bars. π Google Sheets integration: Profile table for user targets. Meals table for food logs. π Advanced n8n nodes: Includes use of Merge, Subworkflow, and Code nodes for data processing and report generation. π‘ Acknowledgment Inspired by the Cal AI concept π‘ β this template demonstrates how to reproduce its main functionality with n8n, Telegram, and AI agents as a flexible, open-source automation workflow. π· Tags telegram ai-assistant nutrition meal-tracking google-sheets food-logging voice-transcription image-analysis daily-reports n8n-template merge-node subworkflow-node code-node telegram-trigger google-gemini πΌ Use Case Use this template if you want to: π₯ Log meals using text, images, or voice messages. π Track nutrition goals (calories, proteins) with daily progress updates. π€ Provide a chat-based nutrition assistant without building a full app. π Store structured nutrition data in Google Sheets for easy access and analysis. π¬ Example User Interactions πΈ User sends a photo of a meal β AI analyzes the food and logs calories/macros. π€ User sends a voice message β AI transcribes and logs the meal. β¨οΈ User types βreportβ β AI returns a daily nutrition summary with progress bars. π₯ User says βupdate my protein goalβ β AI updates profile in Google Sheets. π Required Credentials Telegram Bot API (Bot Token) Google Sheets API credentials AI Provider API (Google Gemini or compatible LLM) βοΈ Setup Instructions π Create two Google Sheets tables: Profile: User_ID, Name, Calories_target, Protein_target Meals: User_ID, Date, Meal_description, Calories, Proteins, Carbs, Fats π Configure the Telegram Trigger with your bot token. π€ Connect your AI provider credentials (Gemini recommended). π Connect Google Sheets with your credentials. βΆοΈ Deploy the workflow in n8n. π― Start interacting with your nutrition assistant via Telegram. π Extra Notes π© Green section: Handles Telegram trigger and user check. π₯ Red section: Registers new users and sets goals. π¦ Blue section: Processes text, voice, and images. π¨ Yellow section: Generates nutrition reports. πͺ Purple section: Main AI agent controlling tools and logic. π‘ Need Assistance? If youβd like help customizing or extending this workflow, feel free to reach out: π§ Email: [email protected] π LinkedIn: John Alejandro Silva RodrΓguez π€π₯ Telegram Nutrition AI Assistant (Alternative to Cal AI App) > AI-powered nutrition assistant for Telegram β log meals, set goals, and get personalized daily reports with Google Sheets integration. π Description This n8n template creates a Telegram-based Nutrition AI Assistant π₯π₯ designed as an open-source alternative to the Cal AI mobile app. It allows users to interact with an AI agent via text, voice, or
Rank
82
Safety
80
Updated
May 26, 2026
Source
n8n
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. Last updated 5/26/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
Install and run
Setup complexity: low.
- Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/n8n-7756-nutrition-tracker-meal-logger-with-telegram-gemini-ai-/snapshot"
Documentation
n8n
3,535 characters of source documentation, loaded on request.
Machine-readable data
The same record, as JSON, for agents and crawlers.
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