Creating a deep learning model has become an easy task nowadays because of the advent of new efficient and fast working libraries like Keras. One can easily create the model by using different functionalities of Keras but the difficult part is to optimize the model to get higher accuracy. We can tune the hyperparameters to make the model more efficient but sometimes it can be a never-ending process. Storm tuner is a hyperparameter tuner that is used to search for the best hyperparameters for a deep learning neural network. It helps in finding out the most optimized hyperparameters for the model we create in less than 25 trials.