Automated Telegram Interaction for Signal Processing Assistance

• Provide real-time assistance to students studying signal processing.
• Automate responses to frequently asked questions in educational settings.
• Store user interactions for personalized learning experiences.

Triggers on new messages in Telegram. Processes text and voice inputs using AI models. Stores user data in Airtable for future reference. Generates responses based on user queries and AI analysis. Sends responses back to users via Telegram.

1. 1
   Import the workflow into your n8n instance.
2. 2
   Connect your Telegram account to the Telegram Trigger node.
3. 3
   Set up Airtable credentials for memory storage.
4. 4
   Configure AI model credentials for OpenAI and Google Gemini.
5. 5
   Test the workflow by sending a message in Telegram.