AI-Driven Academic Chatbot Workflow for Telegram & Google

Transform Your Academic Support with AI-Powered Telegram Bot Automation

Streamline student services and academic administration with this comprehensive AI-driven chatbot workflow that processes student inquiries, extracts data from form images, and provides intelligent responses based on your institutional knowledge base through Telegram integration.

What This Workflow Does

This sophisticated n8n automation creates a multi-layered academic support system that operates through four core processes:

• Smart Input Processing: Telegram trigger captures all incoming student messages, while Switch nodes intelligently route different input types (commands like /help or /cekstatus, text questions, or image files) to appropriate processing paths
• Document Intelligence with OCR: When students submit form photos, the workflow extracts images and uses Gemini AI vision analysis to read and convert form data into structured JSON format (Name, Student ID, Title, etc.), automatically syncing extracted data to Google Sheets as your program database
• Knowledge Retrieval System: Google Drive monitoring triggers detect new academic guideline files, automatically downloading and embedding them into Supabase Vector Store. The AI Agent searches this knowledge base to provide contextually accurate answers without hallucination
• Personalized Status Tracking: Students can check their submission status using commands, with the AI Agent retrieving specific data from your institutional database for personalized responses

Use Cases

• University departments managing thesis submissions and student inquiries
• Academic programs requiring automated form processing and status tracking
• Educational institutions seeking to reduce administrative workload while improving student support
• Program coordinators needing centralized student data management with instant access

Technical Details

Built with essential n8n nodes including Telegram integration, Switch logic, Supabase vector database, Google Drive monitoring, and If conditional processing. The workflow leverages Gemini AI for vision analysis and maintains persistent memory through Google Sheets integration, creating a robust academic automation solution.