Suggestion to Integrate API-Based Chatbot for Dynamic Interactions

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**:
1. **Scalability**: APIs allow us to easily update and expand the chatbot's capabilities without modifying hardcoded logic repeatedly.
2. **Improved UX**: These platforms offer advanced NLP capabilities, making user interactions smoother and more natural.
3. **Ease of Maintenance**: API integration ensures that the chatbot can adapt to changes in data, responses, and functionalities with minimal effort.
4. **Customizability**: We can train the models to align with our specific use case, making it tailored to user needs.

**Proposed Solution**:
1. Replace the existing hardcoded logic with API calls to Hugging Face or Google Dialogflow.
2. Leverage the capabilities of pre-trained models or fine-tune one specific to our use case.
3. 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