Home.PI (MIT 6.S080 Final Project)

Hi there, this is the repository for Home.PI, A friendly Pricing Intelligence for Airbnb Hosts. Check and see our demo below:

How to Run Our Code

Clone or download our GitHub repository and navigate into this directory in your terminal.

Optional: create a virtual environment using virtualenv. This can be downloaded using pip3 or easy_install as follows:

pip3 install virtualenv

or

sudo easy_install virtualenv

Then, create a virtual environment (using Python3), activate this virtual environment, and install the dependencies as follows:

virtualenv -p python3 my_env
source my_env/bin/activate
pip3 install -r requirements.txt

To run our code, navigate into the webapp folder unzip the 2 files in the command line:

unzip model/cleanData.csv.zip -d model
unzip model/rf.sav.zip -d model

After unzipping the files, initialize our webapp by using the following command:

python3 app.py

After the page has been completely initialized, the terminal will return the following line:

Serving on http://0.0.0.0:8080

Open a browser and enter http://0.0.0.0:8080. The page should be sucessfully displayed.

Finally, in order to deactivate the virtual environment, use the following command

deactivate

Repo Structure

Model/                           
  data/
  ClassificationModel.ipynb
  EDA.ipynb
  midterm_EDA_baselineModel.ipynb
  
Reports/
  Midterm_Report.pdf
  Project_Proposal.pdf
  
webapp/
  app.py
  model/
    clean.Data.csv.zip/
    pythonFunctions.py
    rf.sav.zip
  static/
    css/
    data/
    fonts/
    image/
    img/
    js/
  templates/
    main.html                                      
    
README.md
requirements.txt

In Model folder, we have the notebooks including data preprocessing, EDA and modeling.
In Reports folder, we have written reports including proposal and midterm.
In webapp folder, which is also our final deliverable, we have the flask python file in app.py, page file in templates and other website support files in static and model.