Doctor appointment scheduler with Telegram, Gemini AI, and Google Sheets
AI Doctor’s Appointment Scheduler – Process Flow
User Interaction via Telegram:
The user sends a text or voice message through Telegram requesting a doctor’s appointment.
Input Processing:
The AI agent receives and interprets the user’s message to identify the doctor’s name, preferred date, and time.
Doctor Information Retrieval:
The agent accesses the doctor’s details stored in Google Sheets (or an Excel file).
Schedule Verification:
It checks the doctor’s availability for the requested date and time using the doctor’s schedule ledger or database.
Availability Response:
If the doctor is already booked, the agent informs the user and suggests alternative available slots.
If the doctor is available, the agent proceeds to confirm the appointment details with the user.
Appointment Confirmation & Booking:
Once the user confirms, the agent records the appointment details in the Excel sheet (or Google Sheet).
Confirmation Notification:
The agent sends a confirmation message to the user through Telegram, summarizing the appointment details (doctor name, date, and time).
n8n Doctor Appointment Scheduler with Telegram and Google Gemini AI
This n8n workflow simplifies the process of scheduling doctor appointments by leveraging Telegram for user interaction and Google Gemini AI for intelligent processing. It acts as a conversational assistant, understanding user requests and responding appropriately.
What it does
This workflow automates the following steps:
- Listens for Telegram Messages: It acts as a Telegram bot, waiting for incoming messages from users.
- Initializes AI Memory: Sets up a simple memory to maintain context throughout the conversation with the AI agent.
- Processes with Google Gemini AI Agent: It uses a Google Gemini-powered AI Agent to interpret the user's message, understand the intent (e.g., scheduling an appointment), and formulate a response.
- Sends AI Response to Telegram: The AI's generated response is sent back to the user via Telegram.
- Handles "Set" Command (Placeholder): Includes a placeholder "Edit Fields (Set)" node, suggesting a potential future expansion for specific commands or data manipulation, although it's currently disconnected.
- Conditional Logic (Placeholder): Features a "Switch" node, indicating that future enhancements could involve branching logic based on AI output or user input, but it's currently disconnected.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance.
- Telegram Bot Token: A Telegram bot created via BotFather and its API token.
- Google Gemini API Key: Access to the Google Gemini API with an API key.
- LangChain Credentials: Configured LangChain credentials within n8n for the AI Agent and Google Gemini Chat Model.
Setup/Usage
- Import the Workflow: Download the provided JSON and import it into your n8n instance.
- Configure Telegram Trigger:
- Edit the "Telegram Trigger" node.
- Select your Telegram Bot credential or create a new one using your Telegram Bot Token.
- Configure AI Agent:
- Edit the "AI Agent" node.
- Ensure your LangChain credentials are set up.
- Review the agent's prompt and tools to ensure it aligns with your desired appointment scheduling logic.
- Configure Google Gemini Chat Model:
- Edit the "Google Gemini Chat Model" node.
- Select your LangChain credential, which should include your Google Gemini API key.
- Configure Telegram Output:
- Edit the "Telegram" node.
- Select the same Telegram Bot credential used in the trigger.
- Ensure the "Chat ID" is correctly mapped to the incoming chat ID from the "Telegram Trigger" node (e.g.,
{{ $json.chat.id }}).
- Activate the Workflow: Save and activate the workflow.
Once activated, your Telegram bot will be ready to receive messages. Users can interact with it to schedule appointments, and the Google Gemini AI will process their requests and respond accordingly.
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