Abstract:
"Customer satisfaction is crucial for the success of hotels in the hospitality industry. Providing
efficient and effective customer service is a significant challenge, which can be addressed by
developing a chatbot that can understand and respond to customer queries in natural
language. This project aims to develop an AI-based chatbot for the hotel industry using deep
learning and neural network techniques.
The chatbot was designed to be highly interactive and user-friendly, providing customers
with quick and accurate responses to their queries. We used a neural network to generate
responses to customer queries, which were further refined using natural language processing
techniques.
The test results of the chatbot were highly encouraging, with an accuracy rate of over 70%.
We used precision, recall, and F1-score as data science metrics to evaluate the performance
of the chatbot. The results demonstrate that the chatbot is highly effective in understanding
customer queries and providing relevant responses. The chatbot has the potential to
significantly improve customer satisfaction in the hospitality industry, leading to higher
customer retention and increased revenue."
