Travel Assist: Resolution of Travel Queries using Advanced Natural Language Processing for India

In daily life, users travel using various modes such as plane, train, buses, ships and cabs. With advancement of technology, web and application interface provides features to search routes, seat availability, reservation and live location of flight and trains etc. For India market, individual solutions for segments such as flights, trains, cabs, buses etc. are available. A common solution with all the features using latest artificial intelligence techniques is proposed using this paper. Voice assistants and voice-based queries are getting popular and is easy to use while travel. The research paper talks about aspects to consider a common platform Travel Assist for resolution of all kind of travel queries using advanced Natural Language Processing (NLP). Intents and slots are defined based on market survey, and then training data is generated. Random Forest based model is trained to classify any user utterance into intent and slots. Required web APIs are used to get the real time results. To make it easily available to large audience, paper explains the uses of the Samsung Bixby Capsule framework.