• Nandarani Kadam
• Sarika Solanke

Now a day’s use of social media in public transport is rapidly increasing. Due to increasing Internet usage, many businesses now use online platforms to handle customer inquiries, and many of them turn to chatbots for improving their customer service. Travelbot is nothing but a chatbot; a computer application that interacts with users using natural language in a similar way to imitate a human travel agent. A successful implementation of a chatbot system can analyze user preferences and predict collective intelligence using Social Media. To develop a TravelBot, understanding of types of dialogues we can call it as a tweet between passengers and Travel Company is very important. TravelBot is using twitter data to recommend the travel related information to user. The travelbot use tweepy dataset and perform collaborative filtering on data, after that bot get all travel related data. All data which bot collected again perform filtration and get the exact result which user wants. The TravelBot is communicated using natural language like a travel agent, bot can greet, ask you questions and fulfill your requirement. TravelBot can give you suggestion regarding hotel booking.

TravelBot, Chatbot, AI, Twitter, (NLP) Natural language processing, collaborative filtering, Social Media

"TravelBot: Utilizing social media dialogue for Travel Recommendation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.1332-1334, July-2020, Available :http://www.jetir.org/papers/JETIR2007162.pdf

"TravelBot: Utilizing social media dialogue for Travel Recommendation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp1332-1334, July-2020, Available at : http://www.jetir.org/papers/JETIR2007162.pdf