DSP Agent

This workflow is ideal for:

• Students seeking assistance in signal processing concepts and problem-solving.
• Educators looking to provide interactive learning experiences for their students.
• Developers who want to integrate Telegram bot functionalities with advanced AI capabilities.
• Researchers in the field of signal processing who need a reliable assistant for complex queries.

This workflow addresses the challenge of providing real-time assistance in understanding and solving complex signal processing problems by:

• Integrating with Telegram for immediate communication.
• Utilizing AI models to transcribe audio messages and provide tailored explanations.
• Storing user interactions in Airtable for personalized learning experiences.

1. Trigger: The workflow begins with a Telegram Trigger that activates upon receiving a message.
2. Switch Node: It checks if the message contains text or voice data and routes the flow accordingly.
3. Edit Fields: If text is present, it prepares the data for processing.
4. Telegram Node: If a voice message is detected, it retrieves the audio file for transcription.
5. OpenAI Integration: The audio is transcribed using an OpenAI model, converting spoken words into text.
6. AI Agent: The transcribed text is processed by an AI agent that provides guidance and answers based on the user's query.
7. Memory Handling: User interactions are stored in Airtable, allowing the AI to recall previous conversations and tailor responses.
8. Response: Finally, the AI sends back a response to the user on Telegram, ensuring a seamless interaction.