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.

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.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.vagrant		.vagrant
client		client
data		data
ml_training_code		ml_training_code
model		model
reports and documentations		reports and documentations
static		static
templates		templates
.DS_Store		.DS_Store
LICENSE.txt		LICENSE.txt
Procfile		Procfile
README.md		README.md
Vagrantfile		Vagrantfile
app.py		app.py
data_clean.py		data_clean.py
get_distance.py		get_distance.py
readme.li		readme.li
requirements.txt		requirements.txt
runtime.txt		runtime.txt
serve.py		serve.py
test.py		test.py