학술논문

Property Price Prediction, Litigation Detection and Prevention using Machine Learning
Document Type
Conference
Source
2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Electronics and Renewable Systems (ICEARS), 2023 Second International Conference on. :1301-1305 Mar, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Robotics and Control Systems
Renewable energy sources
Computational modeling
Government
Machine learning
Color
Banking
Predictive models
Property price
Survey number
Barcode
Property litigation
Language
Abstract
The value of any property will gradually increase day to day according to the demand, popularity, and many other individual features. As per the report of the Indian Ministry of Law & Justice, the number of property fraudulent cases have been increasing gradually. Nearly 12-13% of the civil cases are increasing every year. Now a days many managers and real estate dealers are committing frauds over the prices and the value of a particular property. To avoid this problem, a computing model is designed which computes the price of a particular property according to the previous price ranges, etc. Barcodes of different colors are used to classify the different types of ownerships of the property for its survey numbers which are considered as the unique ID number for a property assigned after its first registration by authorized governance.This model helps to predict estimated price of property for a particular time being. This model helps us to avoid the fraudulent people though the customer does not have any direct contact with the property right now. The litigation detection will be the major part of the model where system will detect the ongoing litigation count over a property.