Often we face the issue of that we are unable to visit a doctor immediately and need a preliminary diagonis for which we have build a disease prediction model. Initially the model will not be too strong since we will be using publicly available dataset. To strengthen the model we use Federated Learning. We have a reward based system where hospitals supply real datasets and can train model on their own and get the trained model as NFT. It solves the problem of maintaining the patients' anonymity and ensuring authentic models only to reach the central server using blockchain.