OurRealtySpace -A Machine-Learning Based Investment Recommendation System

被引：0

作者：

Divya, N. ^{[1
]}

Sindhuja, Soma ^{[1
]}

Vineela, Sripada ^{[1
]}

Shreeya, Thota V. N. Reva ^{[1
]}

Abhinaya, Mandela ^{[1
]}

机构：

[1] G Narayanamma Inst Technol & Sci, Dept Comp Sci & Engn, Hyderabad, Telangana, India

来源：

PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, MACHINE LEARNING AND APPLICATIONS, VOL 1, ICDSMLA 2023 | 2025年 / 1273卷

关键词：

Machine learning; ARIMA; XGboost; Linear regression; SMTP protocol;

D O I：

10.1007/978-981-97-8031-0_52

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In today's fast-paced real estate market, making the right decision when purchasing a home can be a daunting task. With fluctuating property values and countless options to choose from, the need for accurate and accessible information has never been greater. We've revolutionized the home buying experience by providing a one-stop platform that empowers you to make informed decisions and embark on a journey to find your ideal home. The project aims to employ cutting-edge artificial intelligence and data analytic to offer accurate house price predictions. No more guessing or relying solely on real estate agents' estimates. With our predictive algorithms, you can confidently assess property values and gain insights into market trends, helping you make a well-informed investment. The central aim of this study is to develop a solution that takes into account several objectives, such as to reduce the complexity of travelling, investment-ambiguity, and smart solutions. The outcomes from this approach showcase enhancement in the investment decisions and bring in to action an innovative approach.

引用

页码：489 / 494

页数：6

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