Saturday, 3 June 2023

Efficient and Affordable Vacation Planning: A K-Nearest Neighbors Approach | Chapter 6 | Research Highlights in Science and Technology Vol. 3

 Taking an sporadic recreational vacation is essential for many things, as it provides a much-wanted break for both the frame and mind from the pressures of daily history. However, the high cost of vacationing, two together internationally and locally, counters many from affording a break. This leads to many individuals choosing to give their holidays with parents or in their rural households. To promote domestic touristry, initiatives in the way that 'Tembea Kenya' have been introduced to boost the travel sector in the country. However, there are different challenges associated with established accommodation facilities, in the way that a lack of privacy, restricted space, numerous limits, and hygiene concerns, particularly all the while the COVID-19 crisis. This study aims to address these challenges by expanding a technological solution that admits individuals to create reservations for vacation households, eliminating the cost of renting a house. The answer is a web-located application that utilizes the K-Nearest Neighbors machine intelligence algorithm to classify apartments based on usable features. The goal search out provide an inexpensive and personalized vacation occurrence for all.

Author(s) Details:

S. O. Mariwa,
Strathmore University, Nairobi, Kenya.

T. K. Tunduny,
School of Engineering and Computing Sciences, Strathmore University, Nairobi, Kenya.

Please see the link here: https://stm.bookpi.org/RHST-V3/article/view/10756

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