- 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
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