The problem SoWhat (Kya Boyein) solves

Crop Guidance and Farmers Friend - (BioTech) The needs of contemporary agriculture, which demands high-yield, high-quality, and efficient production, cannot be met by conventional agricultural practices. Furthermore, farmers face the main challenge of how to adapt to changing customer preferences. It is critical to modernize existing processes and use data acquired over time to determine the best potential farming practices that should be implemented.So Our app will act as an answer to this long time lingering question as mentioned before. This app takes input of Nitrogen content, Phosphorous content, Potassium content, pH value of soil and Humidity, Rainfall, and average Temperature. After getting input of all values from user, it predicts the best crop that can be grown in that particular area with maximum profit. In addtion to prediction this app will suggest some new sustainable agriculture practices to farmers. We had majorly utilized Machine Learning to make predictions and used Flutter ,Tenseflow and Tenseflow lite to integrate our ML model into a mobile app. This app aims to ease the decision making of farmers.

Challenges we ran into

The major challenge we encountered is finding the correct dataset for making our ML model . Lately we found it. The second major problem we encountered is while making the MLmodel which we can easily intergrate in our app . Firstly we made our model in collab but it wasnt easy to integrate in flutter app , so we then chose the tensorflow model and then we converted that model into tensorflow lite. Then we had integrated the model in app, the dataset which we have used in our model gives over 99% accuracy which is the best part of our app .