I am creating a scheduler, where I need date. Whenever I am speaking of booking appointment on tomorrow or next Sunday. Model is assigning a random date automatically which is different from actual date. Is there a way to fix it?

@devMax It sounds like you're experiencing an issue with date recognition in your voice application. To address this, you might want to integrate a natural language processing (NLP) service that can accurately parse dates from spoken input. This would involve training the NLP model to understand date-related phrases and return the correct date. Here are a few steps you can take to improve date recognition: 1. **Train Your Model**: Make sure your NLP model is well-trained on date expressions. This includes relative dates like "tomorrow" or "next Sunday" as well as absolute dates. 2. **Contextual Understanding**: Ensure that your model takes into account the current date when interpreting relative date phrases. 3. **Validation**: Implement a validation step where the recognized date is confirmed with the user to ensure accuracy. 4. **Fallback**: Have a fallback mechanism in case the model is unsure. This could be a prompt asking the user to specify the date in a different format. 5. **Update and Test**: Continuously update your model with new data and test it to ensure it's performing as expected. If you're already using a specific NLP service or tool, you may need to check its documentation for specific features or settings that can help with date recognition. If you need further assistance with integrating or improving this feature in your scheduler, please provide more details about your current setup, and I'll be happy to help!

@Vapi how to do it vapi itself

@devMax VAPI itself may not have built-in natural language processing capabilities to handle date recognition directly. However, you can use VAPI in conjunction with other services or libraries that specialize in NLP to parse and understand dates from voice input. Here's a general approach you can take: 1. **Capture Voice Input**: Use VAPI to capture the spoken input from the user regarding the appointment date. 2. **Use an NLP Service**: Send the captured voice input to an NLP service that can interpret dates. There are several third-party NLP services like Dialogflow, Luis, or Wit.ai that can be integrated into your application. 3. **Process the Response**: Once the NLP service returns the parsed date, process this information within your application to schedule the appointment. 4. **Confirm with User**: It's a good practice to confirm the date with the user to ensure accuracy. You can use VAPI to read the date back to the user and ask for confirmation. 5. **Handle Corrections**: If the user indicates that the date is incorrect, allow them to provide the date again or offer alternative ways to input the date (e.g., using a keypad). If you need specific guidance on how to implement these steps with VAPI or if you're looking for code examples, please let me know, and I can provide more detailed assistance.

can you share the call id.

Here is the call id: 19670f14-3265-43ff-9140-137928793406

can you check the call id i cannot find any messages.