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Machine learning-based interactive price estimation and visualization tool.

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House_Price_Prediction

Machine learning-based interactive price estimation and visualization tool.

This was a group project in CSE6242 at Georgia Tech. The report and documentations have also been added into this repository.

Components:

  • Web application
  • Backend written in Python and using the Flask framework
  • Tensorflow used for machine learning models
  • Frontend developed in Html/CSS/Js and D3.js and the Google Map API are employed for adding visualization components.

How to run?

To be run locally with vagrant and vmbox, please refer to "readme.li" for more information

To run locally,

python app.py

An example of client is in the client directory.

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