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  Published Paper Details:

  Paper Title

AI CHATBOT FOR TRANSPORTATION SYSTEM

  Authors

  Pro.Gholap P.S,  Mr.Lohote Prathamesh Yashwant,  Mr.Doke Sanket Santosh,  Mr.Barve Omkar Arjun,  Mr.Belhaware Akshay Anil

  Keywords

Chatbot, Artificial Intelligence, Natural Language Proccessing, Deep Learning, Keras, GUI, Tkinter.

  Abstract


Public transportation is utilized proficiently by a huge number of individuals everywhere. Individuals will in general make a trip to better places and at specific occasions they might feel totally lost in another spot. Our chatbot acts the hero right now. A Chatbot is frequently depicted as perhaps the most encouraging apparatuses for correspondence among people and machine utilizing man-made reasoning. It is a product application that is utilized to lead a web-based visit discussion through text by utilizing regular language preparing (NLP) and profound learning methods. It furnishes direct contact with a live human specialist as GUI. This AI chatbot affirms the current area and the last objective of the client by posing a couple of inquiries. It looks at the client's question and concentrates the fitting sections from the data set. The profound learning methods that are utilized in this chatbot are liable for understanding the client goals precisely to keep away from any confusions. When the client's aim has been perceived, the chatbot gives the most significant reaction to the client's question demand. Then, at that point, the client gets all the data about the transport names alongside their numbers so the individual can make a trip securely to the ideal area. Our chatbot is executed in python's Keras library and used Tkinter for GUI.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2110347

  Paper ID - 212795

  Page Number(s) - c908-c913

  Pubished in - Volume 9 | Issue 10 | October 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Pro.Gholap P.S,  Mr.Lohote Prathamesh Yashwant,  Mr.Doke Sanket Santosh,  Mr.Barve Omkar Arjun,  Mr.Belhaware Akshay Anil,   "AI CHATBOT FOR TRANSPORTATION SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 10, pp.c908-c913, October 2021, Available at :http://www.ijcrt.org/papers/IJCRT2110347.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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