A tumor is a tissue formed by an accumulation of aberrant cells. These abnormal cells consume thehealthy bodily cells, obliterate them,and continue to swell.Braintumoris one ofthese tumors.There are two categories of brain tumors: benign and malignant. A cancerous tumor is malignant.Deepconvolutionneuralnetworkshavemostlydevelopedontheseapplicationsintheextremelypopular machine learning domain of image categorization. The performance of these networks in termsof prediction accuracy is astounding. In this study, brain magnetic resonance imaging (MRI) pictureswere used to create a convolution neural network (CNN) based prediction structure to find tumors. Forpicturecategorizationissues,aframeworkformachinelearningthatispreciseandunderstandableisgiven.Threefundamentalconditionsthatin a framework for feature extraction and explanation extraction domain, the ability to assess the eminence of any model's prediction explanation aimed atwhichever application has been assimilated.