A brain tumor is an abnormal cell formation within the mass of your brain. The cancer is a term used to represent malignant tumours. Many different types of brain tumours exist. Brain tumors may also be benign (noncancerous) or malignant (cancerous). Imaging techniques like Computed tomography (CT) or Magnetic Resonance Imaging (MRI) are commonly used to find brain cancerous areas. Other techniques for finding brain tumors include lumbar puncture, cerebral angiography, positron emission tomography, and molecular testing. A unique attentive deep-learning-based approach for recognizing malignant tumors is proposed in this research. Less than 10% of people with glioblastoma (GBM), survive for less than five years since it grows quickly. The model built predicts the genetic subtype of glioblastoma by detecting the presence of MGMT (O( 6)-methyl guanine-DNA methyl transferase) promoter methylation. Using MRI images, MGMT methylation prediction models were created. MRI scans will be used to see if MGMT activation in gliomas may be identified, we thoroughly investigated contemporary CNN architectures. By using these models, brain surgeries count can be decreased. The using a better model which has high level of accuracywill be used to detect brain tumour and doctors will be able to use it. By providing appropriate medical treatment, it has the potential to save many lives.