Apna-Broker-API

A machine learning based API to predict house prices.

Used as backend for Apna Broker.

Description

REST API for predicting predicting house prices in Banglore, India. Dataset provided by NoBroker. The API is built in with help of Flask micro-framework.

Usage

API is deployed on Heroku at https://apna-broker-api.herokuapp.com/api

Live Demo

Apna-Broker WebApp uses this API.

• GitHub Repo: https://github.com/EvilCoders/Apna-Broker
• WebApp: https://evilcoders.github.io/Apna-Broker/#/

Local Installation

• Clone the repository

$ git clone https://github.com/EvilCoders/Apna-Broker-API.git

• Install required libraries

$ pip install -r requirements.txt

• Then cd into cloned folder

$ cd Apna-Broker-API

• Run app.py

$ python app.py

• API will be running on http://0.0.0.0:5000/api on local machine.

Contributions

All contributions to the project are welcome, You can Improve the accuracy of algorithm, or raise an issue if you find any bug.

Maintainers

The project is maintained by-

• Back-End/ML Developer - Shashank Shekhar
• Front-End Developer - Rishav Pandey