Nexus Landholdings: Predicting Indian Real Estate Prices

Nexus Landholdings: Predicting Indian Real Estate Prices

Shubhangi Sharma¹, Hemant Dhawan², Vaibhav Arora³, Dr. SC Gupta⁴

¹Computer Science and Engineering Department, Panipat Institute of Engineering and Technology
²Computer Science and Engineering Department, Panipat Institute of Engineering and Technology
³Computer Science and Engineering Department, Panipat Institute of Engineering and Technology
⁴Computer Science and Engineering Department, Panipat Institute of Engineering and Technology

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Abstract – Real Estate holds great significance as it is the basic building block of society; the same society that has adopted technology at such a fast pace that they seem intertwined to the point of no return. But the same cannot be said for real estate because a substantial quantum of work still happens manually, without employing the emerging technologies. Previous research shows that bringing the emerging technologies to this field could revolutionize it, thus increasing the satisfaction for all the stakeholders of real estate, but it also brings to light the fact that some websites that do exist for real estate fail to provide proper information and leave the consumers regretful after purchase. This research project aims to provide a solution for this issue by creating a website that employs machine learning to provide the predicted prices for real estate properties in Bangalore, India. This is implemented by drawing on the previous research that provides a Real Estate Technology Acceptance Model, a part of which is practically realized in this project.

Key Words – Machine Learning, RESTAM, Technology Acceptance Model, Software-as-a-Service (SaaS), Price Prediction, Real Estate Price Prediction.