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](https://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


Tech
* [Python(3.0 or above)](https://www.python.org/)
* [Flask](http://flask.pocoo.org/)
* [Scikit-Learn](https://scikit-learn.org/)
* [MaterializeCSS](https://materializecss.com/)
* [Chart.js](https://www.chartjs.org/)