The problem Krishi solves

Our app uses ML models(publicly available on Kaggle ) to answer agriculture-related queries which can be helpful in reducing their efforts and also increasing productivity. In the initial phase, we are using a best-crop predicting ML model using the soil and weather-related parameters. We have integrated the model into the Android app as Android has the largest user base. We will further add ML models like Fertilizer-predictor, Disease-predictor, etc. to make our solution more productive and useful. In addition to all these features, we have a dedicated news feed for agriculture-related innovations and news. We also provide a weather forecast to make timely preparations related to farming.

Challenges I ran into

Getting users' trust while using ML models in your project has always been a challenge.