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Currently, the questions and answers in our project are hardcoded, which can be time-consuming to update and maintain. I propose using an API-integrated chatbot, such as Hugging face or Google Cloud Console Dialogflow, to make the interaction dynamic and scalable.
Benefits:
Scalability: APIs allow us to easily update and expand the chatbot's capabilities without modifying hardcoded logic repeatedly.
Improved UX: These platforms offer advanced NLP capabilities, making user interactions smoother and more natural.
Ease of Maintenance: API integration ensures that the chatbot can adapt to changes in data, responses, and functionalities with minimal effort.
Customizability: We can train the models to align with our specific use case, making it tailored to user needs.
Proposed Solution:
Replace the existing hardcoded logic with API calls to Hugging Face or Google Dialogflow.
Leverage the capabilities of pre-trained models or fine-tune one specific to our use case.
Use these APIs to fetch dynamic responses based on user queries, reducing static dependencies.
I believe this improvement will significantly enhance our project and streamline future updates.
@Ronnieraj37 please assign me this issue, I will start working asap
The text was updated successfully, but these errors were encountered:
Currently, the questions and answers in our project are hardcoded, which can be time-consuming to update and maintain. I propose using an API-integrated chatbot, such as Hugging face or Google Cloud Console Dialogflow, to make the interaction dynamic and scalable.
Benefits:
Proposed Solution:
I believe this improvement will significantly enhance our project and streamline future updates.
@Ronnieraj37 please assign me this issue, I will start working asap
The text was updated successfully, but these errors were encountered: