Telegram fitness bot: Custom workout plans from photo/text using Gemini AI

by Parth Pansuriya ✓ · 421 views · created 2025-07-30 · Personal Productivity, AI Chatbot

What this workflow does

This AI workflow has 15 nodes and runs on Telegram events. Along the way it connects Google Gemini Chat Model, Google Gemini and Telegram.

How it runs

Trigger: On Telegram events.

1. Text Vs Photo (Switch): routes items into branches
2. Workout Guide (AI Agent): runs an AI agent, with model: Google Gemini Chat Model; memory: Simple Memory
3. Get a Image (Telegram): uses Telegram
4. Clean up Workout plane and Make User freindly And Visually appealing (Code): runs custom JavaScript code
5. Fetch Image Path (HTTP Request): calls an HTTP API
6. Send A Workout Planes (Telegram): uses Telegram
7. Change Mime Type (Code): runs custom JavaScript code
8. Analyze image (Google Gemini): uses Google Gemini
9. Workout Guide thorugh Image (AI Agent): runs an AI agent, with model: Google Gemini Chat Model; memory: Simple Memory
10. Clean up Workout plane and Make User freindly And Visually appealing (Code): runs custom JavaScript code

…plus 1 more step. See the full node list below.

Services it uses

Google Gemini Chat ModelGoogle GeminiTelegram

Before you upgrade to n8n 3.0

Nodes used (9)

• Google Gemini Chat Model@n8n/n8n-nodes-langchain.lmChatGoogleGemini
• AI Agent@n8n/n8n-nodes-langchain.agent
• Google Gemini@n8n/n8n-nodes-langchain.googleGemini
• Telegram Triggern8n-nodes-base.telegramTrigger
• Switchn8n-nodes-base.switch
• Coden8n-nodes-base.code
• Telegramn8n-nodes-base.telegram
• HTTP Requestn8n-nodes-base.httpRequest
• Simple Memory@n8n/n8n-nodes-langchain.memoryBufferWindow

From the author

A Telegram Fitness Bot that creates personalized 7-day workout plans by analyzing user photos or text input. It uses Google Gemini AI for image and text understanding combined with LangChain for conversational flow and memory to deliver motivating fitness…

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