ApnaAnaaj (Crop_Prediction)

Features

Around 23 commodities(including all kind of crops) crop value forecasting
Crop detailed forecast upto next 12 months
Top Gainers and Losers of current time
Crop price prediction with 93-95% accuracy
Model trained on authenticated datasets provided by data.gov.in
Detailed analysis of crop prices using tables and charts
Prediction done by using Decision Tree Regression techniques.
Annual Rainfall, WPI(Wholesale Price Index) datasets are used for training the model
User friendly UI made by using materializecss

To install and run this webapp, you will need Python(3.0 or above), and pip installed on your system

$ git clone https://github.com/rahuldkjain/Crop_Prediction.git
$ cd Crop_Prediction
$ pip install -r requirements.txt
$ python app.py