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

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 co...

Best for

Personal Productivity automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.googlegemini, n8n-nodes-base.telegramtrigger, n8n-nodes-base.switch, n8n-nodes-base.code, n8n-nodes-base.telegram, n8n-nodes-base.httprequest

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Parth Pansuriya.

Original n8n.io source

1.1 Workflow description

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

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 routines directly through Telegram.

Use cases include virtual fitness coaching, AI-powered personal training assistants, and health & wellness engagement bots.

Who’s it for

Fitness coaches and personal trainers seeking to automate client workout plans
Developers building Telegram bots with AI-powered personalization
Startups creating virtual fitness assistants or health engagement tools

What it does

Users send a full-body photo or message to the Telegram bot.
The workflow detects if the input is photo or text.
For photos, Gemini AI analyzes body type, posture, and muscle tone.
For text, LangChain asks fitness questions (age, goals, activity level, etc.).
Based on input, a personalized 7-day workout plan is generated in Telegram-compatible HTML.
The plan is formatted and split as needed to fit message size limits.
The workout plan is sent back to the user via Telegram.

Requirements

Telegram Bot token with messaging and file permissions
Google Gemini API access with image and language model capabilities
n8n instance (cloud or self-hosted)
Basic knowledge of LangChain and n8n AI nodes for customization

How to customize the workflow

Modify LangChain system prompts for your coaching tone and style
Add or change fitness questions in the conversation flow
Enable PDF export of workout plans
Add daily workout reminders and streak tracking via Cron and Telegram nodes
Swap AI models or add new tools to enhance functionality
Embed videos or images to enrich workout plans

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Google Gemini Chat Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 2 - Workout Guide

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.1

Block 3 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 4 - Workout Guide thorugh Image

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.1

Block 5 - Analyze image

Type / Role: @n8n/n8n-nodes-langchain.googleGemini - googleGemini
Config choices: Version 1

Block 6 - Receive a Message

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1.2

Block 7 - Text Vs Photo

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 8 - Clean up Workout plane and Make User freindly And Visually appealing

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 9 - Send A Workout Planes

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 10 - Change Mime Type

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 11 - Clean up Workout plane and Make User freindly And Visually appealing1

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 12 - Send A Workout Planes1

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 13 - Fetch Image Path

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 14 - Get a Image

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 15 - Simple Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 16 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Telegram fitness bot: Custom workout plans from photo/text using Gemini AI
Complexity	advanced
Nodes	16
Categories	Personal Productivity, AI Chatbot
Author	Parth Pansuriya
Published	30 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6697/6697.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Personal Productivity workflows AI Chatbot workflows

Frequently asked questions

What does Telegram fitness bot: Custom workout plans from photo/text using Gemini AI do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, AI Chatbot use case.

Parth Pansuriya

9 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatgooglegemini @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.googlegemini n8n-nodes-base.telegramtrigger n8n-nodes-base.switch n8n-nodes-base.code n8n-nodes-base.telegram n8n-nodes-base.httprequest

Complexity

advanced

Published 30 Jul 2025

Likes 0

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Install path: /data/workflows/6697/6697.json

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

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

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 routines directly through Telegram.

Who’s it for

What it does

Requirements

How to customize the workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Google Gemini Chat Model1

Block 2 - Workout Guide

Block 3 - Google Gemini Chat Model

Block 4 - Workout Guide thorugh Image

Block 5 - Analyze image

Block 6 - Receive a Message

Block 7 - Text Vs Photo

Block 8 - Clean up Workout plane and Make User freindly And Visually appealing

Block 9 - Send A Workout Planes

Block 10 - Change Mime Type

Block 11 - Clean up Workout plane and Make User freindly And Visually appealing1

Block 12 - Send A Workout Planes1

Block 13 - Fetch Image Path

Block 14 - Get a Image

Block 15 - Simple Memory

Block 16 - Sticky Note

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions