House Rental Finding System Using Laravel, Vue.Js, And PHP Machine Learning Library

The use of technology in all parts of our lives has greatly increased in recent years, nowadays, people tend to search for everything online before they make decisions. However, looking for rental houses online is not common in Bangladesh, it is not because people do not want to, but because there are not many online platforms focusing on residential rentals. For the mentioned reason we developed a house rental finding web application using Laravel, Vue.js, and PHP-ML library. Laravel handles the backend whereas Vue.js manages the frontend, we utilized PHP Machine Learning Library’s Linear Regression and K-Nearest Neighbours (KNN) algorithm to build a machine learning model for the search system. The goal is to make it easier to find rental properties. Our system gives personalized suggestions based on user inputs, like location, rental price, property size, and the number of rooms and bathrooms. Our application aims to make searching for rental houses a better experience and more efficient

Authors

Publication Details

Journal
IOSR Journal of Computer Engineering
Published
2024-10-01
DOI
https://doi.org/10.9790/0661-2605010812
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

House Rental Finding System Using Laravel, Vue.Js, And PHP Machine Learning Library

Md. Shohel Rana, Saleh Ibne Omar, Md. Fahim Muntashir Pranta
IOSR Journal of Computer Engineering
IoT and GPS-based Vehicle Safety Systems
article

House Rental Finding System Using Laravel, Vue.Js, And PHP Machine Learning Library

Md. Shohel Rana, Saleh Ibne Omar, Md. Fahim Muntashir Pranta
article en

Abstract

The use of technology in all parts of our lives has greatly increased in recent years, nowadays, people tend to search for everything online before they make decisions. However, looking for rental houses online is not common in Bangladesh, it is not because people do not want to, but because there are not many online platforms focusing on residential rentals. For the mentioned reason we developed a house rental finding web application using Laravel, Vue.js, and PHP-ML library. Laravel handles the backend whereas Vue.js manages the frontend, we utilized PHP Machine Learning Library’s Linear Regression and K-Nearest Neighbours (KNN) algorithm to build a machine learning model for the search system. The goal is to make it easier to find rental properties. Our system gives personalized suggestions based on user inputs, like location, rental price, property size, and the number of rooms and bathrooms. Our application aims to make searching for rental houses a better experience and more efficient

IOSR Journal of Computer EngineeringVol. 26(5)
Openalex Percentile: Top 81%
IoT and GPS-based Vehicle Safety Systems
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