This n8n workflow is designed to create personalized workout plans through user interactions on Telegram, utilizing advanced AI models. It begins with receiving messages from users, which can include text or images. When an image is received, the workflow fetches and analyzes it to understand user preferences or workout requirements. The AI models (Google Gemini) generate tailored workout guides based on the input, whether text or visual. The workflow then cleans and formats these plans to make them user-friendly and visually appealing before sending the final workout plan back to the user via Telegram. This automation streamlines workout planning, making it easy for users to get personalized fitness guidance through simple messaging interactions, ideal for fitness trainers, apps, or wellness services.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.googleGemini, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.memoryBufferWindow, code, httpRequest, stickyNote, switch, telegram, telegramTrigger