Tourist Guide for Mumbai City Using K-Nearest Neighbor (KNN) Algorithm
Abstract & Details
Research Area
Computer Engineering
Keywords
Tourism
GPS
KNN
Tourist-spot
Recommendation system
Abstract
Mumbai City presents a unique experience that is unmatched to any other destination. Mumbai is the city of aspirations, power, wealth, glamour and nightlife along with stretches of shimmering beaches, caves, magnificent architecture, religious sites and a mouth-watering cuisine. With all this exciting and varied recreational opportunities Mumbai tourism offers a wholesome holiday experience. Various information about tourism developments, supporting facilities, tourism objects, visitor information about the locals is important information to know. However, many unknown places are worth a visit but people do not know about their existence, because of the lack of public information. The purpose of this paper is to design an application on an Android Smartphone for Tourist Guide for Mumbai. In this research K-Nearest Neighbor (KNN) is used to provide the nearby locations. A model is trained using the publicly available dataset (latitudes and longitudes) to query the traveler’s spot using GPS and acquire its location.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Prasad Yawalkar | KCE’s College of Engineering and Management, Jalgaon, Maharashtra, India |
| 2 | Suryakant Mahajan | KCE’s College of Engineering and Management, Jalgaon, Maharashtra, India |
| 3 | Divyani Dhage | KCE’s College of Engineering and Management, Jalgaon, Maharashtra, India |
| 4 | Ms. Pooja V. Naval | KCE’s College of Engineering and Management, Jalgaon, Maharashtra, India |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Yawalkar, Prasad, Mahajan, Suryakant, Dhage, Divyani, & Naval, Ms. Pooja V. (2022). Tourist Guide for Mumbai City Using K-Nearest Neighbor (KNN) Algorithm. International Journal of Advance Research and Innovative Ideas In Education, 8(2), 1403-1406.
MLA Style
Yawalkar, Prasad, et al. "Tourist Guide for Mumbai City Using K-Nearest Neighbor (KNN) Algorithm." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 2, 2022, pp. 1403-1406.
IEEE Style
Prasad Yawalkar, Suryakant Mahajan, Divyani Dhage, and Ms. Pooja V. Naval, "Tourist Guide for Mumbai City Using K-Nearest Neighbor (KNN) Algorithm," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 2, pp. 1403-1406, 2022.
Vancouver Style
Yawalkar Prasad, Mahajan Suryakant, Dhage Divyani, Naval Ms. Pooja V.. Tourist Guide for Mumbai City Using K-Nearest Neighbor (KNN) Algorithm. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(2):1403-1406.
Harvard Style
Yawalkar, Prasad, Mahajan, Suryakant, Dhage, Divyani, & Naval, Ms. Pooja V. (2022) 'Tourist Guide for Mumbai City Using K-Nearest Neighbor (KNN) Algorithm', International Journal of Advance Research and Innovative Ideas In Education, 8(2), pp. 1403-1406.
Chicago Style
Yawalkar, Prasad, et al. "Tourist Guide for Mumbai City Using K-Nearest Neighbor (KNN) Algorithm." International Journal of Advance Research and Innovative Ideas In Education 8, no. 2 (2022): 1403-1406.
Turabian Style
Yawalkar, Prasad, et al. "Tourist Guide for Mumbai City Using K-Nearest Neighbor (KNN) Algorithm." International Journal of Advance Research and Innovative Ideas In Education 8, no. 2 (2022): 1403-1406.
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