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This is a chatbot for customer support, information retrieval, or any other purpose at a Hotel Service.

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surya-sh/HotalServiceChatbot

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Document on Chatbot Project

Problem Definition

The project outlined in the given assignment is to create a chatbot for websites/apps to provide instant customer service. The chatbot should be able to understand and respond to user queries in a comprehensive and informative way.

Design Thinking

We propose the following design for the chatbot:

  • The chatbot will use a machine learning model to understand and respond to user queries. The model will be trained on a dataset of customer service conversations.
  • The chatbot will have a conversational interface, allowing users to interact with it in a natural language way.
  • The chatbot will be able to provide a variety of customer service tasks, such as answering questions, resolving issues, and routing users to the appropriate resources.

Implementation

We plan to implement the chatbot using the following steps:

  1. Collect a dataset of customer service conversations.
  2. Train a machine learning model on the dataset.
  3. Develop a conversational interface for the chatbot.
  4. Integrate the chatbot with the website/app.

Evaluation

We will evaluate the chatbot using the following metrics:

  • Accuracy: The percentage of queries that the chatbot answers correctly.
  • Precision: The quality of a positive prediction made by the model.
  • Completeness: The percentage of information that the chatbot provides in response to a query.
  • Satisfaction: The percentage of users who are satisfied with the chatbot's responses.
  • Recall: Measures the model's ability to detect positive samples.

Conclusion

We believe that the proposed chatbot design will provide a valuable customer service tool for websites/apps. The chatbot will be able to answer user questions, resolve issues, and route users to the appropriate resources in a timely and efficient manner.

Additional Thoughts

In addition to the above, We would like to consider the following features for the chatbot:

  • Personalization: The chatbot could be personalized to each user by storing their past interactions and preferences. This would allow the chatbot to provide more relevant and helpful responses.
  • Integration with other systems: The chatbot could be integrated with other systems, such as CRM systems and knowledge bases. This would allow the chatbot to access more information and provide more comprehensive responses.
  • Multilingual support: The chatbot could be made multilingual to support users from different countries.

We believe that these additional features would make the chatbot even more valuable as a customer service tool.

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This is a chatbot for customer support, information retrieval, or any other purpose at a Hotel Service.

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