International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Most Trusted Research Journal Since Year 2012

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 8 Issue 1, January 2019

Smart Traveller System

Akhil Chaudhary, Prajwal Mogaveera

In order to provide reasonable as well as user-oriented result for this question, this model automatically observes famous and nearby places when someone visits some location and it will suggest useful information according to its current location, preferences, and past visits. Afterwards, the traveller guide allows for the user to provide feedback about each visit. The proposed solution is making use of machine learning techniques and recommendation systems to simplify the travel planning process for the end user. Various methods could be utilized to find patterns in given users past behaviour or to find similarities and correlations between known points of interest. These smart systems could be used to give personal experience and suggestions for user. These suggestions could be dependent on their schedule, preferences and budget. Machine learning would also automate the travel, its planning process and make the finding of the new impressive places easier for wider crowd of people.

Keywords: Random Forest, Bootstrap aggregating, Greedy algorithm, Bayesian algorithm for Information filtering, Smart information, Travel Information

Edition: Volume 8 Issue 1, January 2019

Pages: 1272 - 1275


How to Cite this Article?

Akhil Chaudhary, Prajwal Mogaveera, "Smart Traveller System", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20192514, Volume 8 Issue 1, January 2019, 1272 - 1275

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