Contextual Travel Chatbot
The contextual chatbot designed uses natural language processing and machine learning algorithm to suggest travel related queries of the user whose UI is designed using tkinter.
Created on 15th January 2020
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Contextual Travel Chatbot
The contextual chatbot designed uses natural language processing and machine learning algorithm to suggest travel related queries of the user whose UI is designed using tkinter.
The problem Contextual Travel Chatbot solves
The Chatbot designed is able to solve various problems in the travel sector. It has the potential to provide a seamless customer care. The Chatbot can help save users’ time, organize their trip or suggest places to visit. The bot is accessible 24/7 and give immediate response to travelers’ queries. In addition, the Chatbot handles routine queries, save precious time of customer care service representatives, allowing them to perform more complex problems and tasks. It also works as an excellent profiling tool, by collecting data of the users such as previous travel details, frequency of traveling, type of places they like to visit and many more. By using the collected data, the bot is able to personalize the travelers’ experience. This will bring the personal touch expected by the travelers for a long time.
Challenges I ran into
Finding the correct number of hidden layers and number of epochs to give the minimum error and avoid overfitting and underfitting of data. Creating the dataset of our own for training and testing as the data was not available for the project.