This n8n workflow automates the entire process of generating academic assignments based on student input received via Telegram. It integrates AI content creation with Google services for structured data extraction, document formatting, storage, and delivery. The process begins with a Telegram trigger capturing student requests, which are parsed to extract detailed information using regex algorithms. The workflow then employs Google Gemini AI models to generate comprehensive, plagiarism-free answers, formatted according to strict academic standards with HTML and PDF conversion tools. The generated documents are uploaded to Google Drive for easy access, and links are sent back to students via Telegram, completing a seamless end-to-end automation pipeline. This workflow is particularly useful in educational institutions, online learning platforms, and content creation services aiming to efficiently produce and manage high-quality academic content.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, code, googleDrive, googleSheets, httpRequest, set, stickyNote, telegram, telegramTrigger, wait