• 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

• Python(3.0 or above)
• Flask
• Scikit-Learn
• MaterializeCSS
• Chart.js

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

ApnaAnaaj

• Rahul Jain
• Pratyush Garg
• Somya Jain
• Abhay Gupta