Interactive Transport Enquiry with AI Chatbot

• Published in: 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS) pp. 1271 - 1276
• Main Authors: Dharani, M., Jyostna, J.V.S.L., Sucharitha, E., Likitha, R., Manne, Suneetha
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-05-2020
• Subjects: Artificial intelligence; chatbot; Chatbots; Deep learning; GUI; Keras; Libraries; natural language processing; Oral communication; Process control; Software; Tkinter
• DOI: 10.1109/ICICCS48265.2020.9120905

Public transportation is used efficiently by millions of people all over the world. People tend to travel to different places and at certain times they may feel completely lost in a new place. Our chatbot comes to rescue at this time. A Chatbot is often described as one of the most promising tools for communication between humans and machines using artificial intelligence. It is a software application that is used to conduct an online chat conversation via text by using natural language processing (NLP) and deep learning techniques. It provides direct contact with a live human agent in the form of GUI. This AI chatbot confirms the current location and the final destination of the user by asking a few questions. It examines the user's query and extracts the appropriate entries from the database. The deep learning techniques that are used in this chatbot are responsible for understanding the user intents accurately to avoid any misconceptions. Once the user's intention has been recognized, the chatbot provides the most relevant response for the user's query request. Then the user gets all the information about the bus names along with their numbers so that the person can travel safely to the desired location. Our chatbot is implemented in python's Keras library and used Tkinter for GUI.