SOIL MOISTURE PREDICTOR

Tools Used :

Colab for prediction model(python notebook), Python Flask for backend , html,css for frontend UI .

=> System Requirements :

 => Python 
 => Flask 
 => Werkzeug 
 => Scikit
 => Pandas
 => Numpy

=> download soil_moisture_predictor.ipynb

  open it using google colab or jupyter.
  after opening run all code snippets in order.
  predictions of march month will be in data_frame
  =>predictions_of_march_1
  =>predictions_of_march_2

=> download model_UI file

 After downloading file make sure that file structure is in this order
 
 model_UI -> app.py
          |
          ->model.pkl
          |
          ->model2.pkl
          |
          ->model3.pkl
          |
          ->model4.pkl
          |
          ->templates->index.html
                     |
                     ->index2.html
                     |
                     ->index3.html
                     |
                     ->index1.html

=> now open terminal and go to model_UI directory

  run app.py
  using command **python3 app.py** in terminal
  you get message showing
  Running on http://127.0.0.1:

=> now you have access to User Interface

  if this is not working open moisture_predictor.html file
  press only predict button to predict.