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HousePricePredictor

HousePricePredictor helps to predict the price of the house based on the "RandomForest" Algorithm. As learning model a sample learning model is provided based on which the house price is predicted with the different attributes. The data are gathered for city of Tirana/Albania

Getting Started

HousePricePredictor is a Spring Boot based project with Maven support. It can be built with the following commands :

$ mvn clean install
$ mvn spring-boot:run

Running the tests

$ mvn clean test

Demo

UI

HousePricePredictor is hosted on a heroku server with a sample learning model file.

API

To use the API of HousePricePredictor, the following URL, Header and JSON body can be used:

• Request URL

[POST] http://localhost:8080/v1/house 

• Header

Content-Type:application/json

• Body

{
sizeMeters: numeric real
furnished:  {yes, no}
hasLift:  {yes, no}
ownerType:  {individual, estate}
legalized:  {me_hipoteke, pa_hipoteke}
buildingyear:  numeric
city:  {one_plus_one, two_plus_one}
algorithm:
price numeric   
  
}

Authors

• Amir Buzo

Built With

• Weka - The Machine Learning framework used.
• SpringBoot - The Rest API framework used.
• Maven - Dependency Management.
• AngularJS - The UI framework used.
• Bootstrap - The UI framework used.